83 20 11858 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Articles Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource An improved compocasting technique for uniformly dispersed multi-walled carbon nanotube in AA2219 Alloy Melt Subject The topic of the resource Alloys; Aluminium; Casting; Compocasting; Composites; MWCNT; Nanocomposites; Nanotube Description An account of the resource Technology transfer for economic bulk production is the greatest challenge of the era. Production of high strength lightweight materials with nanocarbon reinforcement has attained its importance among the researchers. Property enhancement with multi-walled carbon nanotube (MWCNT) reinforcement is reported by all researchers. But effective utilization of its property remains a challenge even though it is the strongest material in the world. Achieving homogeneous dispersion especially in molten metal is a complex task. To address the same, a new approach was tried which could trigger de-bundling and make a uniform dispersion. Various metallurgical and mechanical characterizations were done. Grain refinement and the structure were studied with an optical microscope, MWCNT dispersion and structural damage was studied using field emission scanning microscope, Phase change and reactions during casting was done with XRD scan. The method remarkably facilitated 23.7% and 69.75% improvement in hardness and ultimate compressive strength respectively with the addition of MWCNT. Faculty of Mechanical Engineering, Belgrade. Creator An entity primarily responsible for making the resource Thomas S.; Keshavamurthy R.; Kumar P.G.S.; Tambrallimath V.; Prasanna G.D. Source A related resource from which the described resource is derived FME Transactions, Vol-48, No. 3, pp. 581-587. Publisher An entity responsible for making the resource available Belgrade University Date A point or period of time associated with an event in the lifecycle of the resource 2020-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.5937/fme2003581T" target="_blank" rel="noreferrer noopener">https://doi.org/10.5937/fme2003581T</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85087778546&doi=10.5937%2Ffme2003581T&partnerID=40&md5=06e6157cff1f4b8fbcc74232ed402c67" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85087778546&doi=10.5937%2ffme2003581T&partnerID=40&md5=06e6157cff1f4b8fbcc74232ed402c67</a> Rights Information about rights held in and over the resource All Open Access; Gold Open Access Relation A related resource ISSN: 14512092 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Article Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Thomas S., Department of Mechanical and Automobile Engineering, CHRIST (Deemed to be University), Bangalore, India; Keshavamurthy R., Department of Mechnaical Engineering, Dayananda Sagar College of Engineering, India; Kumar P.G.S., Department of Mechanical and Automobile Engineering, CHRIST (Deemed to be University), Bangalore, India; Tambrallimath V., Department of Automobile Engineering, Dayananda Sagar College of Engineering, India; Prasanna G.D., Department of Studies in Physics, Davanegere Univeristy, India Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Articles Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource An improved frequent pattern tree: the child structured frequent pattern tree CSFP-tree Subject The topic of the resource CSFP-tree; CSFP-tree mining; Data mining; FP-tree; Frequent itemset mining; Improved FP-tree Description An account of the resource Frequent itemsets are itemsets that occur frequently in a dataset. Frequent itemset mining extracts specific itemsets with supports higher than or equal to a minimum support threshold. Many mining methods have been proposed but Apriori and FP-growth are still regarded as two prominent algorithms. The performance of the frequent itemset mining depends on many factors; one of them is searching the nodes while constructing the tree. This paper introduces a new prefix-tree structure called child structured frequent pattern tree (CSFP-tree), an FP-tree attached with a child search subtree to each node. The experimental results reveal that the CSFP-tree is superior to the FP-tree and its new variations for any kind of datasets. 2022, The Author(s), under exclusive licence to Springer-Verlag London Ltd., part of Springer Nature. Creator An entity primarily responsible for making the resource Jamsheela O.; Raju G. Source A related resource from which the described resource is derived Pattern Analysis and Applications, Vol-26, No. 2, pp. 437-454. Publisher An entity responsible for making the resource available Springer Science and Business Media Deutschland GmbH Date A point or period of time associated with an event in the lifecycle of the resource 2023-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1007/s10044-022-01111-1" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/s10044-022-01111-1</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85138767834&doi=10.1007%2Fs10044-022-01111-1&partnerID=40&md5=ab7fafe473978832928f776417b5843f" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85138767834&doi=10.1007%2fs10044-022-01111-1&partnerID=40&md5=ab7fafe473978832928f776417b5843f</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 14337541 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Article Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Jamsheela O., EMEA College of Arts and Science, Kerala, Kondotty, India; Raju G., Christ University Yeshwantpur Campus, Bengaluru, India Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Conference Papers Conference Paper Faculty Publications- Conference Papers Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource An Improved Image Up-Scaling Technique using Optimize Filter and Iterative Gradient Method Subject The topic of the resource corner averaging; high resolution; low resolution; optimized filter component Description An account of the resource In numerous realtime applications, image upscaling often relies on several polynomial techniques to reduce computational complexity. However, in high-resolution (HR) images, such polynomial interpolation can lead to blurring artifacts due to edge degradation. Similarly, various edge-directed and learning-based systems can cause similar blurring effects in high-frequency images. To mitigate these issues, directional filtering is employed post corner averaging interpolation, involving two passes to complete the corner average process. The initial step in low-resolution (LR) picture interpolation involves corner pixel refinement after averaging interpolation. A directional filter is then applied to preserve the edges of the interpolated image. This process yields two distinct outputs: the base image and the detail image. Furthermore, an additional cuckoo-optimized filter is implemented on the base image, focusing on texture features and boundary edges to recover neighboring boundary edges. Additionally, a Laplacian filter is utilized to enhance intra-region information within the detailed image. To minimize reconstruction errors, an iterative gradient approach combines the optimally filtered image with the sharpened detail image, generating an enhanced HR image. Empirical data supports the effectiveness of the proposed algorithm, indicating superior performance compared to state-of-the-art methods in terms of both visual appeal and measured parameters. The proposed method's superiority is demonstrated experimentally across multiple image datasets, with higher PSNR, SSIM, and FSIM values indicating better image degradation reduction, improved edge preservation, and superior restoration capabilities, particularly when upscaling High-Frequency regions of images. 2023 IEEE. Creator An entity primarily responsible for making the resource Poonia R.C.; Upreti K.; Hundekari S.; Dadhich P.; Malik K.; Kapoor A. Source A related resource from which the described resource is derived 3rd IEEE International Conference on Mobile Networks and Wireless Communications, ICMNWC 2023 Publisher An entity responsible for making the resource available Institute of Electrical and Electronics Engineers Inc. Date A point or period of time associated with an event in the lifecycle of the resource 2023-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/ICMNWC60182.2023.10435962" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ICMNWC60182.2023.10435962</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85186988852&doi=10.1109%2FICMNWC60182.2023.10435962&partnerID=40&md5=bebebd4667b28e267602519592b878c3" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85186988852&doi=10.1109%2fICMNWC60182.2023.10435962&partnerID=40&md5=bebebd4667b28e267602519592b878c3</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 979-835031702-2 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Conference paper Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Poonia R.C., CHRIST(Deemed to Be University), Dept. of Computer Science, Ghaziabad, Delhi NCR, India; Upreti K., CHRIST(Deemed to Be University), Dept. of Computer Science, Ghaziabad, Delhi NCR, India; Hundekari S., MIT ADT University Rajbaug Loni Kalbhor, Pune, India; Dadhich P., School of Computer Application, Manav Rachna International Institute of Research and Studies, India; Malik K., School of Law, CHRIST(Deemed to Be University), Ghaziabad, Delhi NCR, India; Kapoor A., Maharaja Surajmal Institute of Technology, Dept. of Computer Science, Delhi, India Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Articles Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource An improved web caching system with locally normalized user intervals Subject The topic of the resource Locally normalized intervals; pre-fetching; proxy; web cache Description An account of the resource Caching is one of the most promising areas in the field of future internet architecture like Information-centric Networking, Software Defined Networking, and IoT. In Web caching, most of the web content is readily available across the network, even if the webserver is not reachable. Several existing traditional caching methods and cache replacement strategies are evaluated based on the metrics like hit ratio and byte hit Ratio. However, these metrics have not been improved over the period because of the traditional caching policies. So, in this paper, we have used an intelligent function like locally normalized intervals of page visit, website duration, users' interest between user groups is proposed. These intervals are combined with multiple distance metrics like Manhattan, squared Euclidean, and 3-,4-,5-norm Minkowski. In order to obtain significant common user navigation patterns, the clustering relation between the users using different intervals and distances is thoroughly analyzed. These patterns are successfully coupled with greedy web cache replacement strategies to improve the efficiency of the proposed web cache system. Particularly for improving the caching metrics more, we used an AI-based intelligent approach like Random Forest classifier to boost the prefetch buffer performance and achieves the maximum hit rate of 0.89, 0.90, and byte hit rate of 0.87, 0.89 for Greedy Dual Size Frequency and Weighted Greedy Dual Size Frequency algorithms, respectively. Our experiments show good hit/byte hit rates than the frequently used algorithms like least recently used and least frequently used. 2013 IEEE. Creator An entity primarily responsible for making the resource Vaithinathan K.; Pernabas J.B.; Parthiban L.; Shrestha B.; Joshi G.P.; Moon H. Source A related resource from which the described resource is derived IEEE Access, Vol-9, pp. 112490-112501. Publisher An entity responsible for making the resource available Institute of Electrical and Electronics Engineers Inc. Date A point or period of time associated with an event in the lifecycle of the resource 2021-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/ACCESS.2021.3103804" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ACCESS.2021.3103804</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85113251855&doi=10.1109%2FACCESS.2021.3103804&partnerID=40&md5=7c7ad1f86343b42869b4d8b09bd9b1c9" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85113251855&doi=10.1109%2fACCESS.2021.3103804&partnerID=40&md5=7c7ad1f86343b42869b4d8b09bd9b1c9</a> Rights Information about rights held in and over the resource All Open Access; Gold Open Access Relation A related resource ISSN: 21693536 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Article Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Vaithinathan K., Department of Computer Engineering, Karaikal Polytechnic College, Karaikal, 609609, India; Pernabas J.B., Department of Computer Science and Engineering, School of Engineering and Technology, CHRIST (Deemed to Be University), Kengeri Campus, Karnataka, Bangalore, 560074, India; Parthiban L., Department of Computer Science and Engineering, Community College, Pondicherry University, Puducherry, 605014, India; Shrestha B., Department of Information Contents, Kwangwoon University, Seoul, 01897, South Korea; Joshi G.P., Department of Computer Science and Engineering, Sejong University, Seoul, 05006, South Korea; Moon H., Department of Computer Science and Engineering, Sejong University, Seoul, 05006, South Korea Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Conference Papers Conference Paper Faculty Publications- Conference Papers Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource An improvised grid resource allocation and classfication through regression Subject The topic of the resource prediction; Regression; Resource monitoring Description An account of the resource The resource allocation is one of the important mechanisms of grid computing, which helps to assign the available resources very efficiently. The one of the issue of grid computing is fixing the target nodes during the grid job execution. In existing method, resource monitored data are collected from grid then jobs are allocated to the resources based on available data, through regression algorithm. In this method total execution time of an application and run time of jobs should be high. The proposed method mitigate running time by classify the resources in the data collected from grid based on dwell time using novel classification algorithm. It reduces the jobs run time and fit the best available resources to the jobs in the computational grid. 2017 IEEE. Creator An entity primarily responsible for making the resource Krishnakumar A.; Kumaran T.S.; Balamurugan M. Source A related resource from which the described resource is derived 2017 Conference on Emerging Devices and Smart Systems, ICEDSS 2017, pp. 129-132. Publisher An entity responsible for making the resource available Institute of Electrical and Electronics Engineers Inc. Date A point or period of time associated with an event in the lifecycle of the resource 2017-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/ICEDSS.2017.8073672" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ICEDSS.2017.8073672</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85039908223&doi=10.1109%2FICEDSS.2017.8073672&partnerID=40&md5=555d1467932b2db43559537b45db0ece" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85039908223&doi=10.1109%2fICEDSS.2017.8073672&partnerID=40&md5=555d1467932b2db43559537b45db0ece</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 978-150905555-5 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Conference paper Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Krishnakumar A., Dept of CSE, ACS College of Engineering, India; Kumaran T.S., Dept of CSE, ACS College of Engineering, India; Balamurugan M., Dept of CSE, Christ Unitversity, Faculty of Engineering, India Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Articles Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource An Improvised Mechanism for Optimizing Fault Detection for Big Data Analytics Environment Subject The topic of the resource Big Data; Fault Detection; Optimisation Description An account of the resource In the applications of fault detection, the inputs are the data reflected from health state of the observed system. A major challenge to finding errors is the nonlinear relationship between the data. Big data has other drawbacks, and the volume and speed with which it is generated are reflected in the data streams themselves. In this paper, we develop a deep learning model that aims to provide fault detection in big data analytics engine. This investigation develops an approach for fault detection in large datasets using unsupervised learning. In this research, an unsupervised method of learning is developed specifically for the task of classifying large datasets. To discover regular textual patterns in large datasets, this research use data visualization methods. In this virtual environment, we employ an unsupervised learning method of machine learning that does not require human oversight. Instead, the system should be allowed some leeway to work and find things on its own. The unsupervised learning approach utilizes data that has not been tagged. In contrast to supervised learning, this approach can handle complex tasks. 2024, Ismail Saritas. All rights reserved. Creator An entity primarily responsible for making the resource Paulin M.S.; Subramani K.; Muralidharan P.; Maruthamuthu; Kumar R.S. Source A related resource from which the described resource is derived International Journal of Intelligent Systems and Applications in Engineering, Vol-12, No. 9s, pp. 427-433. Publisher An entity responsible for making the resource available Ismail Saritas Date A point or period of time associated with an event in the lifecycle of the resource 2024-01-01 Identifier An unambiguous reference to the resource within a given context <a href="" target="_blank" rel="noreferrer noopener"></a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85181507884&partnerID=40&md5=3fb0dd8ee025f238b79055db598d0638" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85181507884&partnerID=40&md5=3fb0dd8ee025f238b79055db598d0638</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 21476799 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Article Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Paulin M.S., Business and Management, Christ (Deemed to be University), Kengeri campus, Bangalore, India; Subramani K., Business and Management, Christ (Deemed to be University), Kengeri campus, Bangalore, India; Muralidharan P., Business and Management, Christ (Deemed to be University), Kengeri campus, Bangalore, India; Maruthamuthu, Madanapalle Institute of Technology & Science, Angallu, Madanapalle, India; Kumar R.S., Sathak College of Engineering & Technology, Tamilnadu, Ramnad, India Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Short Survey Short survey Faculty Publications- Short Surveys Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource An In-Depth Analysis of Collision Avoidance Path Planning Algorithms in Autonomous Vehicles Subject The topic of the resource artificial intelligence; autonomous surface vehicle; collision avoidance; dynamic environment; Path planning; unmanned vehicle Description An account of the resource Path planning is a way to define the motion of an autonomous surface vehicle (ASV) in any existing obstacle environment to enable the vehicle's movement by setting directions to avoid that can react to the obstacles in the vehicle's path. A good, planned path perceives the environment to the extent of uncertainty and tries to build or adapt its change in the path of motion. Efficient path planning algorithms are needed to alleviate deficiencies, that are to be modified using the deterministic path that leads the ASV to reach a goal or a desired location while finding optimal solution has become a challenge in the field of optimization along with a collision-free path, making path planning a critical thinker. The traditional algorithms have a lot of training and computation, making it difficult in a realistic environment. This review paper explores the different techniques available in path planning and collision avoidance of ASV in a dynamic environment. The objective of good path planning and collision avoidance for a dynamic environment is compared effectively with the existing obstacles movement of different vehicles. Different path planning technical approaches are compared with their performance and collision avoidance for unmanned vehicles in marine environments by early researchers. This paper gives us a clear idea for developing an effective path planning technique to overcome marine accidents in the dynamic ocean environment while choosing the shortest, obstacle-free path for Autonomous Surface Vehicles that can reduce risk and enhance the safety of unmanned vehicle movement in a harsh ocean environment. 2024 Bentham Science Publishers. Creator An entity primarily responsible for making the resource Daniel K.L.; Poonia R.C. Source A related resource from which the described resource is derived Recent Advances in Computer Science and Communications, Vol-17, No. 8, pp. 62-72. Publisher An entity responsible for making the resource available Bentham Science Publishers Date A point or period of time associated with an event in the lifecycle of the resource 2024-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.2174/0126662558258394231228080539" target="_blank" rel="noreferrer noopener">https://doi.org/10.2174/0126662558258394231228080539</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85200216750&doi=10.2174%2F0126662558258394231228080539&partnerID=40&md5=b6828165d16cf6346a3b585054e489d3" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85200216750&doi=10.2174%2f0126662558258394231228080539&partnerID=40&md5=b6828165d16cf6346a3b585054e489d3</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 26662558 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Short survey Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Daniel K.L., Amity Institute of Information Technology, Amity University Rajasthan, Jaipur, 303002, India; Poonia R.C., Department of Computer Science, Christ (Deemed to be University), NCR, Delhi, 201003, India Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Articles Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource An in-Depth Analysis on the Cumulative Effect of Co and Sintering Temperatures on the Formaldehyde Sensing Attributes of NiO Subject The topic of the resource Doping; Gas sensor; Nanostructures; NiO; XPS Description An account of the resource In-depth studies are availing to explore and utilize the sensing attributes of p-type NiO nanostructures. However, the surface functionalization of NiO using Co for gas sensing along with varying temperature profile is a novel attempt till date. The research succeeded in synthesizing pure and substituted NiO via co-precipitation route and assessed the sensing capability of the samples by testing with 10 different target gases. The Co doped NiO sintered at 500C exhibited promising sensing performance within a concentration range of 1100ppm, notably achieving a high response of 7817 for 100ppm HCHO at room temperature. The proposed sensor demonstrated rapid response and recovery times (9s and 8s), and it successfully passed stability tests conducted over a 30-day period and repeatability tests consisting of eight cycles. The work paved a way to the implication of the prepared sensor as a breath analyzer to detect lung cancer due to its appreciable formaldehyde sensing characteristics. Graphical Abstract: (Figure presented.) The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2024. Creator An entity primarily responsible for making the resource John R.A.B.; Vijayan K.; Joshi H. Source A related resource from which the described resource is derived Sensing and Imaging, Vol-25, No. 1 Publisher An entity responsible for making the resource available Springer Date A point or period of time associated with an event in the lifecycle of the resource 2024-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1007/s11220-024-00483-4" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/s11220-024-00483-4</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85195449739&doi=10.1007%2Fs11220-024-00483-4&partnerID=40&md5=9109971f5822b551faef1a65a23a2e1d" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85195449739&doi=10.1007%2fs11220-024-00483-4&partnerID=40&md5=9109971f5822b551faef1a65a23a2e1d</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 15572064 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Article Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant John R.A.B., Department of Physics and Electronics, Christ (Deemed to be) University, Karnataka, Bengaluru, India; Vijayan K., School of Advanced Sciences, Vellore Institute of Technology, Tamil Nadu, Vellore, 632 014, India, Centre for Condensed Matter Physics, National Taiwan University, Taipei, Taiwan; Joshi H., School of Advanced Sciences, Vellore Institute of Technology, Tamil Nadu, Vellore, 632 014, India Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Book Chapter Book Chapter Faculty Publications- Book Chapter Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource An in-depth investigation into financial literacy levels in Indian households Description An account of the resource In a complex financial world, lack of awareness complicates money management and savings. Emphasizing financial literacy is vital for informed decision-making. This study explores global financial illiteracy, advocating international initiatives. In India, it assesses disparities and government activities and reviews tax-saving and mobile banking. Gaps include limited studies on Indian households, necessitating gender-specific analyses and research on education's impact. The methodology outlines justification, operational definitions, and data collection techniques. With ANOVA and descriptive statistics on 285 respondents, the study reveals demographic analysis, indicating higher financial literacy with age and a gender gap. Education. positively correlates with financial literacy. Recommendations include interventions like financial seminars, collaboration with regulators, and destigmatizing money talks at home to enhance financial literacy and bridge gaps. 2024 by IGI Global. All rights reserved. Creator An entity primarily responsible for making the resource Patil A.; Niranjan L.R.; Patavardhan R.; Jain V. Source A related resource from which the described resource is derived Contemporary Research and Practices for Promoting Financial Literacy and Sustainability, pp. 113-146. Publisher An entity responsible for making the resource available IGI Global Date A point or period of time associated with an event in the lifecycle of the resource 2024-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.4018/979-8-3693-0863-9.ch005" target="_blank" rel="noreferrer noopener">https://doi.org/10.4018/979-8-3693-0863-9.ch005</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85204521168&doi=10.4018%2F979-8-3693-0863-9.ch005&partnerID=40&md5=6e307a8ec7d60f5150d64ac6239ce4b9" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85204521168&doi=10.4018%2f979-8-3693-0863-9.ch005&partnerID=40&md5=6e307a8ec7d60f5150d64ac6239ce4b9</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 979-836930864-6; 979-836930863-9 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Book chapter Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Patil A., Christ University, India; Niranjan L.R., Christ University, India; Patavardhan R., Christ University, India; Jain V., Christ University, India Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Articles Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource An in-silico pharmacophore-based molecular docking study to evaluate the inhibitory potentials of novel fungal triterpenoid Astrakurkurone analogues against a hypothetical mutated main protease of SARS-CoV-2 virus Subject The topic of the resource COVID 19; MD Simulation; Phytochemicals; Principal component analysis; ZINC compounds Description An account of the resource Background: The main protease is an important structural protein of SARS-CoV-2, essential for its survivability inside a human host. Considering current vaccines' limitations and the absence of approved therapeutic targets, Mpro may be regarded as the potential candidate drug target. Novel fungal phytocompound Astrakurkurone may be studied as the potential Mpro inhibitor, considering its medicinal properties reported elsewhere. Methods: In silico molecular docking was performed with Astrakurkurone and its twenty pharmacophore-based analogues against the native Mpro protein. A hypothetical Mpro was also constructed with seven mutations and targeted by Astrakurkurone and its analogues. Furthermore, multiple parameters such as statistical analysis (Principal Component Analysis), pharmacophore alignment, and drug likeness evaluation were performed to understand the mechanism of protein-ligand molecular interaction. Finally, molecular dynamic simulation was done for the top-ranking ligands to validate the result. Result: We identified twenty Astrakurkurone analogues through pharmacophore screening methodology. Among these twenty compounds, two analogues namely, ZINC89341287 and ZINC12128321 showed the highest inhibitory potentials against native and our hypothetical mutant Mpro, respectively (?7.7 and ?7.3 kcal mol?1) when compared with the control drug Telaprevir (?5.9 and ?6.0 kcal mol?1). Finally, we observed that functional groups of ligands namely two aromatic and one acceptor groups were responsible for the residual interaction with the target proteins. The molecular dynamic simulation further revealed that these compounds could make a stable complex with their respective protein targets in the near-native physiological condition. Conclusion: To conclude, Astrakurkurone analogues ZINC89341287 and ZINC12128321 can be potential therapeutic agents against the highly infectious SARS-CoV-2 virus. 2022 Elsevier Ltd Creator An entity primarily responsible for making the resource Nag A.; Dasgupta A.; Sengupta S.; Lai T.K.; Acharya K. Source A related resource from which the described resource is derived Computers in Biology and Medicine, Vol-152 Publisher An entity responsible for making the resource available Elsevier Ltd Date A point or period of time associated with an event in the lifecycle of the resource 2023-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1016/j.compbiomed.2022.106433" target="_blank" rel="noreferrer noopener">https://doi.org/10.1016/j.compbiomed.2022.106433</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85144556537&doi=10.1016%2Fj.compbiomed.2022.106433&partnerID=40&md5=f0cb22523215711163b43da252e6540c" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85144556537&doi=10.1016%2fj.compbiomed.2022.106433&partnerID=40&md5=f0cb22523215711163b43da252e6540c</a> Rights Information about rights held in and over the resource All Open Access; Bronze Open Access; Green Open Access Relation A related resource ISSN: 104825; PubMed ID: 36565483; CODEN: CBMDA Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Article Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Nag A., Department of Life Sciences, CHRIST (Deemed to be University), Karnataka, Bangalore, India; Dasgupta A., Department of Botany, University of Calcutta, West Bengal, Kolkata, India; Sengupta S., Department of Life Sciences, CHRIST (Deemed to be University), Karnataka, Bangalore, India; Lai T.K., Department of Chemistry, Vidyasagar Metropolitan College, West Bengal, Kolkata, India; Acharya K., Department of Botany, University of Calcutta, West Bengal, Kolkata, India https://archives.christuniversity.in/files/original/260ba14f05dcf511092be95b347528d3.jpg da8ff039c62113cb9e062a6984dbf554 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Articles Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource An incisive framework for attention deficit hyperactivity disorder discernment / Subject The topic of the resource Computer Science Description An account of the resource Current Trends in Technology and Science, Vol-3 (2), pp. 65-68. ISSN-2279-0535 Creator An entity primarily responsible for making the resource Nachamai M Publisher An entity responsible for making the resource available Current Trends in Technology and Science Language A language of the resource English Source A related resource from which the described resource is derived <a href="https://www.ctts.in/assets/upload/2778ctts-31024%20vol-3%20iss-2.pdf" target="_blank" title="Click Here" rel="noreferrer noopener">https://www.ctts.in/assets/upload/2778ctts-31024%20vol-3%20iss-2.pdf</a> Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Articles Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource An individualised psychosocial intervention program for persons with MND/ALS and their families in low resource settings Subject The topic of the resource family caregiving; low resource settings; Motor Neuron Disease; psychosocial care; social context Description An account of the resource Motor Neuron Disease (MND) leads to significant psychosocial distress for the person with the illness and caregivers. Psychosocial factors influence the management and quality of life to a significant degree. Objective: To develop individualised psychosocial intervention program for people with MND and their families in India. Methods: People with MND and healthcare staff were constructively involved in co-designing the intervention program in four phases adapted from the MRC framework: 1. A detailed need assessment phase where 30 participants shared their perceptions of psychosocial needs 2. Developing the intervention module (synthesis of narrative review, identified needs); 3. Feasibility testing of the intervention program among seven participants; 4. Feedback from participants on the feasibility (acceptance, practicality adaptation). The study adopted an exploratory research design. Results: Intervention program of nine sessions, addressing psychosocial challenges through the different stages of progression of the illness and ways to handle the challenges, specific to the low resource settings, was developed and was found to be feasible. People with MND and families who participated in the feasibility study shared the perceived benefit through feedback interviews. Conclusion: MND has changing needs and challenges. Intervention programme was found to be feasible to be implemented among larger group to establish efficacy. The Author(s) 2022. Creator An entity primarily responsible for making the resource Thomas P.T.; Warrier M.G.; Arun S.; Bhuvaneshwari B.; Vengalil S.; Nashi S.; Preethish-Kumar V.; Polavarapu K.; Rajaram P.; Nalini A. Source A related resource from which the described resource is derived Chronic Illness, Vol-19, No. 2, pp. 458-471. Publisher An entity responsible for making the resource available SAGE Publications Ltd Date A point or period of time associated with an event in the lifecycle of the resource 2023-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1177/17423953221097076" target="_blank" rel="noreferrer noopener">https://doi.org/10.1177/17423953221097076</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85129882908&doi=10.1177%2F17423953221097076&partnerID=40&md5=1978ff3b00e5ce697d04d5bbe42d284e" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85129882908&doi=10.1177%2f17423953221097076&partnerID=40&md5=1978ff3b00e5ce697d04d5bbe42d284e</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 17423953; PubMed ID: 35469482 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Article Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Thomas P.T., Department of Psychiatric Social Work, National Institute of Mental Health and Neuro Sciences, Bangalore, India; Warrier M.G., Department of Psychology, CHRIST (Deemed to be University), Bangalore, India; Arun S., Department of Counselling Psychology, Montfort College, Bangalore, India; Bhuvaneshwari B., Department of Psychiatry, St Johns Medical college and hospital, Bangalore, India; Vengalil S., Department of Neurology, National Institute of Mental Health and Neuro Sciences, Bangalore, India; Nashi S., Department of Neurology, National Institute of Mental Health and Neuro Sciences, Bangalore, India; Preethish-Kumar V., Department of Neurology, National Institute of Mental Health and Neuro Sciences, Bangalore, India; Polavarapu K., Department of Neurology, National Institute of Mental Health and Neuro Sciences, Bangalore, India; Rajaram P., Department of Psychiatric Social Work, National Institute of Mental Health and Neuro Sciences, Bangalore, India; Nalini A., Department of Neurology, National Institute of Mental Health and Neuro Sciences, Bangalore, India Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Conference Papers Conference Paper Faculty Publications- Conference Papers Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource An Innovative Approach for Osteosarcoma Bone Cancer Detection based on Attention Embedded R-CNN Approach Subject The topic of the resource Medical Image; Osteosarcoma; Residual Progressive Feature Extraction (RPFE) Description An account of the resource The malignant bone tumor osteosarcoma. Any bone is at risk, but lengthy bones like the limbs are more vulnerable. Although the precise cause of this malignant growth is uncertain, experts concur that it is caused by changes to deoxyribonucleic acid (DNA) inside the bones. This can cause the breakdown of good tissue and the growth of aberrant, pathological bone. Osteosarcoma has a 76% cure rate if detected early and treated before it spreads to other parts of the body. An X-ray is the primary tool for detecting bone tumors. Bone X-rays and other imaging tests can help detect osteosarcoma. A biopsy should be performed for an accurate diagnosis. This is a time-consuming and tedious task that might be greatly reduced with the help of appropriate tools. Data preprocessing, segmentation, feature extraction, and model training are the four main pillars of the proposed approach. Unwanted noises can be filtered out with some preprocessing. Low-spatial-frequency and high-spatial-frequency components are separated using segmentation. The proposed approach employed Tumor Border Clarity, Joint Distance, Tumor Texture, and other features for feature extraction. Let's move on to A-Residual CNN model training. The success percentage of the proposed approach was 96.39 percent. 2023 IEEE. Creator An entity primarily responsible for making the resource Prasad B.M.G.; Bikash Acharjee P.; Guntakala S.; Sharma D.; Divya N.; Patil H. Source A related resource from which the described resource is derived International Conference on Sustainable Communication Networks and Application, ICSCNA 2023 - Proceedings, pp. 1431-1436. Publisher An entity responsible for making the resource available Institute of Electrical and Electronics Engineers Inc. Date A point or period of time associated with an event in the lifecycle of the resource 2023-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/ICSCNA58489.2023.10370651" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ICSCNA58489.2023.10370651</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85183002740&doi=10.1109%2FICSCNA58489.2023.10370651&partnerID=40&md5=8521878812420beab549dab01bc2a098" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85183002740&doi=10.1109%2fICSCNA58489.2023.10370651&partnerID=40&md5=8521878812420beab549dab01bc2a098</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 979-835031398-7 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Conference paper Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Prasad B.M.G., Ravindra College of Engineering for Women (RCEW, Autonomous), Department of Cse, Andhra Pradesh, Kurnool, 518452, India; Bikash Acharjee P., Christ University, Pune, India; Guntakala S., K.B.N College, Department of Mca, Andhra Pradesh, Vijayawada, India; Sharma D., Institute of Pharmacy, Assam Don Bosco University, Tapesi, Assam, India; Divya N., Prince Shri Venkateshwara Padmavathy Engineering College, Department of Civil Engineering, Tamilnadu, Chennai, India; Patil H., Symbiosis Institute of Technology, Symbiosis International (Deemed University), Maharashtra, Pune, India Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Conference Papers Conference Paper Faculty Publications- Conference Papers Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource An Innovative Method for Brain Stroke Prediction based on Parallel RELM Model Subject The topic of the resource Brain Stroke Prediction; Extreme learning machine (ELM); Recursive Feature Elimination (RFE) Description An account of the resource Strokes occur when blood supply to the brain is suddenly cut off or severely impaired. Stroke victims may experience cell death as a result of oxygen and food shortages. The effectiveness of various predictive data mining algorithms in illness prediction has been the subject of numerous studies. The three stages that make up this suggested method are feature selection, model training, and preprocessing. Missing value management, numeric value conversion, imbalanced dataset handling, and data scaling are all components of data preparation. The chi-square and RFE methods are utilized in feature selection. The former assesses feature correlation, while the latter recursively seeks for ever-smaller feature sets to choose features. The whole time the model was being trained, a Parallel RELM was used. This new method outperforms both ELM and RELM, achieving an average accuracy of 95.84%. 2024 IEEE. Creator An entity primarily responsible for making the resource Kavitha K.; Devi V.J.; Alam M.S.; Sindhu V.; Gandhewar N.; Kalra G. Source A related resource from which the described resource is derived 4th International Conference on Sustainable Expert Systems, ICSES 2024 - Proceedings, pp. 1637-1643. Publisher An entity responsible for making the resource available Institute of Electrical and Electronics Engineers Inc. Date A point or period of time associated with an event in the lifecycle of the resource 2024-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/ICSES63445.2024.10763097" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ICSES63445.2024.10763097</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85214838562&doi=10.1109%2FICSES63445.2024.10763097&partnerID=40&md5=eb53335ae8ea8b6b0b8388c05ba79d27" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85214838562&doi=10.1109%2fICSES63445.2024.10763097&partnerID=40&md5=eb53335ae8ea8b6b0b8388c05ba79d27</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 979-833154036-4 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Conference paper Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Kavitha K., Gmr Institute of Technology, Department of CSE-AI&ML, Andhra Pradesh, Razam, India; Devi V.J., Aditya Institute of Technology and Management, Department of Information Technology, Andhra Pradesh, Tekkali, India; Alam M.S., College of Engineering and Computer Science, Jazan University, Department of Computer Science, Jizan, Saudi Arabia; Sindhu V., Christ University, Department of Computer Science, Karnataka, Bangalore, India; Gandhewar N., Shri Ramdeobaba College of Engineering and Management, Department of Aiml, Nagpur, India; Kalra G., Maharishi Markandeshwar (Deemed to be University), Department of Mechanical Engineering, Mullana, Ambala, India Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Conference Papers Conference Paper Faculty Publications- Conference Papers Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource An Innovative Method for Election Prediction using Hybrid A-BiCNN-RNN Approach Subject The topic of the resource Convolutional Neural Network (CNN); Election prediction; Natural Language Processing (NLP) Description An account of the resource Sentiment, volumetric, and social network analyses, as well as other methods, are examined for their ability to predict key outcomes using data collected from social media. Different points of view are essential for making significant discoveries. Social media have been used by individuals all over the world to communicate and share ideas for decades. Sentiment analysis, often known as opinion mining, is a technique used to glean insights about how the public feels and thinks. By gauging how people feel about a candidate on social media, they can utilize sentiment analysis to predict who will win an upcoming election. There are three main steps in the proposed approach, and they are preprocessing, feature extraction, and model training. Negation handling often requires preprocessing. Natural Language Processing makes use of feature extraction. Following the feature selection process, the models are trained using BiCNN-RNN. The proposed method is superiorto the widely usedBiCNN and RNN methods. 2023 IEEE. Creator An entity primarily responsible for making the resource Acharjee P.B.; Magadum A.A.; Thejovathi M.; Jain R.; Umarani K.; Nishant N. Source A related resource from which the described resource is derived 2nd International Conference on Automation, Computing and Renewable Systems, ICACRS 2023 - Proceedings, pp. 765-770. Publisher An entity responsible for making the resource available Institute of Electrical and Electronics Engineers Inc. Date A point or period of time associated with an event in the lifecycle of the resource 2023-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/ICACRS58579.2023.10404211" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ICACRS58579.2023.10404211</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85185388377&doi=10.1109%2FICACRS58579.2023.10404211&partnerID=40&md5=7c6e995139838d67dee2419beecddb30" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85185388377&doi=10.1109%2fICACRS58579.2023.10404211&partnerID=40&md5=7c6e995139838d67dee2419beecddb30</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 979-835034023-5 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Conference paper Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Acharjee P.B., CHRIST University, Pune, India; Magadum A.A., Department of MCA, MIT-ADT University, Maharastra, Pune, India; Thejovathi M., Department of Computer Science and Engineering, Acharya Nagarjuna University, Guntur, India; Jain R., School of Arts & Humanities, IIMT University, Meerut, India; Umarani K., School of Arts & Humanities, IIMT University, Meerut, India; Nishant N., Department of Computer Science and Engineering, School of Engineering, Babu Banarasi Das University, Lucknow, India Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Conference Papers Conference Paper Faculty Publications- Conference Papers Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource An Innovative Method for Enterprise Resource Planning (ERP) for Business and knowledge Management Based on Tree MLP Model Subject The topic of the resource enterprise resource planning (ERP); multi-layer perceptron (MLP); swarm intelligence module (SIM) Description An account of the resource This strategy highlights the benefits of utilizing cutting-edge IT to back up company goals and genuinely assist in changing internal procedures by implementing an ERP-appropriate solution. Any organization, no matter how big or little, can benefit from an enterprise resource planning (ERP) system, which is an integrated suite of tools designed to streamline and improve internal business operations. Staying true to this approach will ensure that you get the greatest results while training the model, selecting features, and doing preprocessing. In order to use dense vector embedding for preparing the raw system logs, ERP system logs are typically represented by a combination of alphanumeric characters. While selecting features, SIM uses Particle Swarm Optimization (PSO) to create uniform product configurations. Using a Tree-MLP, the model was trained. This new strategy outperforms the old one, including Decision Tree and MLP. A 94.30% improvement in accuracy was achieved after implementing the technique. 2024 IEEE. Creator An entity primarily responsible for making the resource Ahlawat J.; Sundaresh K.; Murugan R.T.; Sawadatkar S.; Mule A.K.; Kiran P.B.N. Source A related resource from which the described resource is derived International Conference on Intelligent Algorithms for Computational Intelligence Systems, IACIS 2024 Publisher An entity responsible for making the resource available Institute of Electrical and Electronics Engineers Inc. Date A point or period of time associated with an event in the lifecycle of the resource 2024-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/IACIS61494.2024.10721644" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/IACIS61494.2024.10721644</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85208795522&doi=10.1109%2FIACIS61494.2024.10721644&partnerID=40&md5=0dce79818d2220bd2878c17eac5ba770" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85208795522&doi=10.1109%2fIACIS61494.2024.10721644&partnerID=40&md5=0dce79818d2220bd2878c17eac5ba770</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 979-835036066-0 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Conference paper Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Ahlawat J., Tecnia Institute of Advanced Studies, Department of Management Sciences, New Delhi, India; Sundaresh K., Srm University, School of Law, Chengalpattu, India; Murugan R.T., Kalasalingam Academy of Research and Education, Kalasalingam Business School, Department of Business Administration, Krishnankoil, India; Sawadatkar S., Dr D Y Patil Institute of Technology, Department of Civil Engineering, Pimpri, Pune, India; Mule A.K., Dr. D. Y. Patil Institute of Technology, Department of First Year Engineering, Pimpri, Pune, India; Kiran P.B.N., Christ University, School of Business and Management, Bengaluru, India Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Conference Papers Conference Paper Faculty Publications- Conference Papers Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource An Innovative Method for Fuel Consumption and Maintenance Cost of Heavy-Duty Vehicles based on SR-GRU-CNN Algorithm Subject The topic of the resource Auxiliary Power Unit (APU); Fuel Cell Systems (FCS); Stacked Residual Gated Recurrent Unit Convolutional Neural Networks (S R-GRU-CNN) Description An account of the resource A heavy-duty vehicle's fuel usage, and thus its carbon dioxide emissions, are significantly impacted by the driver's behavior. The average fuel economy of a car varies by about 28% between drivers. Fuel efficiency can be improved by driver education, monitoring, and feedback. Fuel efficiency-based incentives are one form of feedback that can be provided. The largest challenge for transportation companies implementing such incentive programs is how to accurately evaluate drivers' fuel consumption. The processes of preprocessing, feature extraction, and model training are all utilized in the suggested method. Principal component analysis (PCA) is widely utilized in data science's preprocessing stage. GMM is used for feature extraction. Afterwards, SR-GRU-CNN is used to train the models based on the selected features. When compared to the two most popular alternatives, CNN and SR-GRU, the proposed methodexcels. 2023 IEEE. Creator An entity primarily responsible for making the resource Bansod P.J.; Mohan U.; Yadav D.K.; Singh Y.; Sharmila P.; Chauhan A. Source A related resource from which the described resource is derived 2nd International Conference on Automation, Computing and Renewable Systems, ICACRS 2023 - Proceedings, pp. 811-816. Publisher An entity responsible for making the resource available Institute of Electrical and Electronics Engineers Inc. Date A point or period of time associated with an event in the lifecycle of the resource 2023-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/ICACRS58579.2023.10404423" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ICACRS58579.2023.10404423</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85185368577&doi=10.1109%2FICACRS58579.2023.10404423&partnerID=40&md5=a8845af1569cd75084e2a33b8315149d" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85185368577&doi=10.1109%2fICACRS58579.2023.10404423&partnerID=40&md5=a8845af1569cd75084e2a33b8315149d</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 979-835034023-5 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Conference paper Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Bansod P.J., Department of Mechanical Engineering, G H Raisoni College of Engineering &Management, Wagholi, Pune, India; Mohan U., Department of Mechanical Engineering, University of Technology and Applied Sciences, Salalah, Oman; Yadav D.K., Department of Electronics & Communication Engineering, IIMT College of Engineering, Greater Noida, India; Singh Y., India Meteorological Department, Mausam Bhawan, Lodhi Road, New Delhi, India; Sharmila P., Department of Science & Humanities, Prince Shri Venkateshwara Padmavathy Engineering College, Tamil Nadu, Chennai, India; Chauhan A., Department of Life Sciences, School of Sciences, CHRIST (Deemed to be university), Karnataka, Bengaluru, India Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Conference Papers Conference Paper Faculty Publications- Conference Papers Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource An Innovative Method for Housing Price Prediction using Least Square - SVM Subject The topic of the resource House Price Prediction (HPP); Least Square Support Vector Machine (LSSVM); Normalization Description An account of the resource The House Price Prediction is often employed to forecast housing market shifts. Individual house prices cannot be predicted using HPI alone due to the substantial correlation between housing price and other characteristics like location, area, and population. While several articles have used conventional machine learning methods to predict housing prices, these methods tend to focus on the market as a whole rather than on the performance of individual models. In addition, good data pretreatment methods are intended to be established to boost the precision of machine learning algorithms. The data is normalized and put to use. Features are selected using the correlation coefficient, and LSSVM is employed for model training. The proposed approach outperforms other models such as CNN and SVM. 2023 IEEE. Creator An entity primarily responsible for making the resource Goel Y.K.; Swaminathen A.N.; Yadav R.; Kanthamma B.; Kant R.; Chauhan A. Source A related resource from which the described resource is derived 2023 4th International Conference on Electronics and Sustainable Communication Systems, ICESC 2023 - Proceedings, pp. 928-933. Publisher An entity responsible for making the resource available Institute of Electrical and Electronics Engineers Inc. Date A point or period of time associated with an event in the lifecycle of the resource 2023-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/ICESC57686.2023.10193369" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ICESC57686.2023.10193369</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85168314447&doi=10.1109%2FICESC57686.2023.10193369&partnerID=40&md5=66ea8e4736fd4ca708784ace0eae3bc5" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85168314447&doi=10.1109%2fICESC57686.2023.10193369&partnerID=40&md5=66ea8e4736fd4ca708784ace0eae3bc5</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 979-835030009-3 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Conference paper Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Goel Y.K., Surajmal University, Computer Science Engineering, Uttarakhand,(Udham Singh Nagar), Kichha, India; Swaminathen A.N., Adi Shankara Institute of Engineering and Technology, Civil Department, Kerala, kalad, India; Yadav R., Graphic Era Hill University, Department of Computer Science and Engineering, Dehradun, India; Kanthamma B., Gitam Deemed to Be University, Electrical, Electronics and Communications Engineering (EECE), Andhra Pradesh, Visakhapatnam, India; Kant R., Shoolini University, Cse Department, Himachal Pradesh, Solan, India; Chauhan A., Christ (Deemed to Be University), Department of Life Sciences, Karnataka, Bengaluru, India Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Conference Papers Conference Paper Faculty Publications- Conference Papers Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource An Innovative Way of Trackable GDS in the Field of CC Subject The topic of the resource Anonymity; Cloud computing; Data traceability; Group data sharing; Group signature Description An account of the resource It is important to provide security and efficient data exchange in cloud infrastructure and achieve traceability and anonymity of data. mean For high levels of safety and performance in one Anonymously, this article addresses the topic It allows data to be exchanged and stored between members of the same group in the cloud. Proposed arrangement creates unique and traceable group data sharing policies using group signatures and special agreements Strategies to accomplish these goals. this Facilitates anonymous communication between systems Public clouds have many users and. Real people following up when needed. Also, the system implements the main agreement programs to make it easier for team members to. Obtain a shared session key for secure data exchange and storage facilities. Basic generation processes a Symmetric Balanced Incomplete Block Theory (SBIBD), significantly reducing the workload of team members a shared session key must be introduced. In cloud computing contexts, the suggested system guarantees efficiency and security for group data sharing, as shown by theoretical analysis and experimental validation. 2024 IEEE. Creator An entity primarily responsible for making the resource Pandey M.; Subramani K.; Madeswaran A.; Al-Jawahry H.M.; Sudhamalla M.; Misra N.; Kumar K.K. Source A related resource from which the described resource is derived 2024 4th International Conference on Advance Computing and Innovative Technologies in Engineering, ICACITE 2024, pp. 1579-1582. Publisher An entity responsible for making the resource available Institute of Electrical and Electronics Engineers Inc. Date A point or period of time associated with an event in the lifecycle of the resource 2024-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/ICACITE60783.2024.10616449" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ICACITE60783.2024.10616449</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85201824741&doi=10.1109%2FICACITE60783.2024.10616449&partnerID=40&md5=44a311c942a0a638c7041d1cc30d848b" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85201824741&doi=10.1109%2fICACITE60783.2024.10616449&partnerID=40&md5=44a311c942a0a638c7041d1cc30d848b</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 979-835036016-5 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Conference paper Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Pandey M., Christ (Deemed to Be University), School of Business and Management, Bangalore Yeshwanthpur Campus, India; Subramani K., Christ (Deemed to Be University), School of Business and Management, Bangalore Yeshwanthpur Campus, India; Madeswaran A., Christ (Deemed to Be University), School of Business and Management, Bangalore Yeshwanthpur Campus, India; Al-Jawahry H.M., The Islamic University, Najaf, Iraq; Sudhamalla M., Cmr Technical Campus, Department of Ece, Telangana, Hyderabad, India; Misra N., Uttaranchal University, Uttaranchal Institute of Management, Department of Management, Dehradun, 248007, India; Kumar K.K., Saveetha University, Sse, Saveetha Institute of Medical and Technical Science - Simats, Department of Computer Science and Engineering, Chennai, India Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Reviews Review Faculty Publications- Reviews Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource An insight into microscopy and analytical techniques for morphological, structural, chemical, and thermal characterization of cellulose Subject The topic of the resource cellulose; crystallinity; differential scanning calorimetry; electron microscope; Fourier transform infrared spectroscopy; thermogravimetric analysis Description An account of the resource Cellulose obtained from plants is a bio-polysaccharide and the most abundant organic polymer on earth that has immense household and industrial applications. Hence, the characterization of cellulose is important for determining its appropriate applications. In this article, we review the characterization of cellulose morphology, surface topography using microscopic techniques including optical microscopy, transmission electron microscopy, scanning electron microscopy, and atomic force microscopy. Other physicochemical characteristics like crystallinity, chemical composition, and thermal properties are studied using techniques including X-ray diffraction, Fourier transform infrared, Raman spectroscopy, nuclear magnetic resonance, differential scanning calorimetry, and thermogravimetric analysis. This review may contribute to the development of using cellulose as a low-cost raw material with anticipated physicochemical properties. Highlights: Morphology and surface topography of cellulose structure is characterized using microscopy techniques including optical microscopy, transmission electron microscopy, scanning electron microscopy, and atomic force microscopy. Analytical techniques used for physicochemical characterization of cellulose include X-ray diffraction, Fourier transform infrared spectroscopy, Raman spectroscopy, nuclear magnetic resonance spectroscopy, differential scanning calorimetry, and thermogravimetric analysis. 2022 Wiley Periodicals LLC. Creator An entity primarily responsible for making the resource Chakraborty I.; Rongpipi S.; Govindaraju I.; Rakesh B.; Mal S.S.; Gomez E.W.; Gomez E.D.; Kalita R.D.; Nath Y.; Mazumder N. Source A related resource from which the described resource is derived Microscopy Research and Technique, Vol-85, No. 5, pp. 1990-2015. Publisher An entity responsible for making the resource available John Wiley and Sons Inc Date A point or period of time associated with an event in the lifecycle of the resource 2022-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1002/jemt.24057" target="_blank" rel="noreferrer noopener">https://doi.org/10.1002/jemt.24057</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85122791301&doi=10.1002%2Fjemt.24057&partnerID=40&md5=4f9307fb615a9f2580f08887ba079c4c" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85122791301&doi=10.1002%2fjemt.24057&partnerID=40&md5=4f9307fb615a9f2580f08887ba079c4c</a> Rights Information about rights held in and over the resource All Open Access; Green Open Access Relation A related resource ISSN: 1059910X; PubMed ID: 35040538; CODEN: MRTEE Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Review Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Chakraborty I., Department of Biophysics, Manipal School of Life Sciences, Manipal Academy of Higher Education, Karnataka, Manipal, 576104, India; Rongpipi S., Department of Chemical Engineering, The Pennsylvania State University, State College, PA, United States; Govindaraju I., Department of Biophysics, Manipal School of Life Sciences, Manipal Academy of Higher Education, Karnataka, Manipal, 576104, India; Rakesh B., Department of Life Science, CHRIST (Deemed to be University), Karnataka, Bangalore, 560029, India; Mal S.S., Department of Chemistry, National Institute of Technology, Karnataka, Mangaluru, 575025, India; Gomez E.W., Department of Chemical Engineering, The Pennsylvania State University, State College, PA, United States, Department of Biomedical Engineering, The Pennsylvania State University, State College, PA, United States; Gomez E.D., Department of Chemical Engineering, The Pennsylvania State University, State College, PA, United States, Department of Materials Science and Engineering, The Pennsylvania State University, State College, PA, United States, Materials Research Institute, The Pennsylvania State University, State College, PA, United States; Kalita R.D., Department of Biotechnology, Royal Global University, Assam, Guwahati, 781035, India; Nath Y., Department of Serology, State Forensic Science Laboratory, Guwahati, India; Mazumder N., Department of Biophysics, Manipal School of Life Sciences, Manipal Academy of Higher Education, Karnataka, Manipal, 576104, India