500 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 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 Ensembled convolutional neural network for multi-class skin cancer detection Subject The topic of the resource Artificial intelligence; Classification; HAM10000 dataset; Medical image processing; Multi-class skin cancer Description An account of the resource A skin cancer diagnosis is critically important in medical image processing. The role of dermoscopy and dermatologists is inevitable in skin cancer diagnosis. But, considering the time constraints on diagnosing patients on time, even medical experts need computer-assisted methods to automate the diagnosis process with a higher accuracy rate and with good performance. Such computer-assisted methods with induced artificial intelligence (AI) algorithms are gaining significance. The challenging task of medical image processing is finding benign/malignant pigmented skin lesions after the input image of patients. To identify this difference, AI-based classification algorithms shall be deployed. During the implementation of such algorithms, several performance aspects are evaluated. Once the best such algorithm is identified and evaluated for its performance attributes, it shall be deployed to assist dermatologists. This book chapter explains such a novel multiclass skin cancer classification algorithm. The proposed algorithm uses the best of the attributes and parameters of a deep convolutional neural network (CNN) to give the best-ever enactment among similar existing algorithms. The result achievement of the developed deep CNN based multi-class skin cancer classification algorithm (DCNN-MSCCA) is demonstrated using the HAM10000 dataset. To establish the significance of the developed algorithm, the performance parameters of the DCNN-MSCCA are compared with a few existing significant algorithms. The maximum accuracy of DCNN-MSCCA in predicting the exact multi-class skin cancer is 95.1%. This book chapter explains the implementation details of DCNN-MSCCA using python and libraries supporting CNN. 2024 River Publishers. Creator An entity primarily responsible for making the resource Siva Balan R.V.; Senthilnathan T.; Jayapriya J.; Balakrishnan C. Source A related resource from which the described resource is derived Predictive Data Modelling for Biomedical Data and Imaging, pp. 205-230. Publisher An entity responsible for making the resource available River 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="" target="_blank" rel="noreferrer noopener"></a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85196236418&partnerID=40&md5=510b8a08acec16ed10d3e6c5b4a69ba9" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85196236418&partnerID=40&md5=510b8a08acec16ed10d3e6c5b4a69ba9</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 978-877004076-1; 978-877004077-8 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 Siva Balan R.V., Department of Computer Science, Christ (Deemed to be University), India; Senthilnathan T., Department of Computer Science, Christ (Deemed to be University), India; Jayapriya J., Department of Computer Science, Christ (Deemed to be University), India; Balakrishnan C., Department of Computer Science, Christ (Deemed to be 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 investigation and analysis on automatic speech recognition systems Subject The topic of the resource ensemble methods; language model; natural language; speech processing; speech recognition system; speech technology Description An account of the resource A crucial part of a Speech Recognition System (SRS) is working on its most fundamental modules with the latest technology. While the fundamentals provide basic insights into the system, the recent technologies used on it would provide more ways of exploring and exploiting the fundamentals to upgrade the system itself. These upgrades end up in finding more specific ways to enhance the scope of SRS. Algorithms like the Hidden Markov Model (HMM), Artificial Neural Network (ANN), the hybrid versions of HMM and ANN, Recurrent Neural Networks (RNN), and many similar are used in accomplishing high performance in SRS systems. Considering the domain of application of SRS, the algorithm selection criteria play a critical role in enhancing the performance of SRS. The algorithm chosen for SRS should finally work in hand with the language model conformed to the natural language constraints. Each language model follows a variety of methods according to the application domain. Hybrid constraints are considered in the case of geography-specific dialects. 2024 by author(s). Creator An entity primarily responsible for making the resource Siva Balan R.V.; Vignesh K.; Jose T.; Kalpana P.; Jothikumar R. Source A related resource from which the described resource is derived Journal of Autonomous Intelligence, Vol-7, No. 3 Publisher An entity responsible for making the resource available Frontier Scientific Publishing 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/10.32629/jai.v7i3.1060" target="_blank" rel="noreferrer noopener">https://doi.org/10.32629/jai.v7i3.1060</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85182223234&doi=10.32629%2Fjai.v7i3.1060&partnerID=40&md5=0d7ac3b770b3e1773d4060fc8242b300" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85182223234&doi=10.32629%2fjai.v7i3.1060&partnerID=40&md5=0d7ac3b770b3e1773d4060fc8242b300</a> Rights Information about rights held in and over the resource All Open Access; Gold Open Access Relation A related resource ISSN: 26305046 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 Siva Balan R.V., Department of Computer Science, CHRIST (Deemed to be University), Bangalore, 560029, India; Vignesh K., Department of Management Studies, Kumaraguru College of Technology, Coimbatore, 641049, India; Jose T., Department of Computer Science, CHRIST (Deemed to be University), Bangalore, 560029, India; Kalpana P., Department of Computer Science, CHRIST (Deemed to be University), Bangalore, 560029, India; Jothikumar R., Department of Computer Science and Engineering, Shadan College of Engineering and Technology, Hyderabad, 500086, 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 Hybrid cryptography security in public cloud using TwoFish and ECC algorithm Subject The topic of the resource Cloud computing; Cryptography; Elliptic curve Cryptography; Private key; Public key; TwoFish Description An account of the resource Cloud computing is a structure for rendering service to the user for free or paid basis through internet facility where we can access to a bulk of shared resources which results in saving managing cost and time for large companies, The data which are stored in the data center may incur various security, damage and threat issues which may result in data leakage, insecure interface and inside attacks. This paper will demonstrate the implementation of hybrid cryptography security in public cloud by a combination of Elliptical Curve Cryptography and TwoFish algorithm, which provides an innovative solution to enhance the security features of the cloud so that we can improve the service thus results in increasing the trust overthe technology. 2019 Institute of Advanced Engineering and Science. Creator An entity primarily responsible for making the resource Siva Sankaran P.; Kirubanand V.B. Source A related resource from which the described resource is derived International Journal of Electrical and Computer Engineering, Vol-9, No. 4, pp. 2578-2584. Publisher An entity responsible for making the resource available Institute of Advanced Engineering and Science Date A point or period of time associated with an event in the lifecycle of the resource 2019-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.11591/ijece.v9i4.pp2578-2584" target="_blank" rel="noreferrer noopener">https://doi.org/10.11591/ijece.v9i4.pp2578-2584</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85066294736&doi=10.11591%2Fijece.v9i4.pp2578-2584&partnerID=40&md5=20806d60011ffe74082530a944376ce7" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85066294736&doi=10.11591%2fijece.v9i4.pp2578-2584&partnerID=40&md5=20806d60011ffe74082530a944376ce7</a> Rights Information about rights held in and over the resource All Open Access; Gold Open Access; Green Open Access Relation A related resource ISSN: 20888708 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 Siva Sankaran P., Department of Computer Science, Christ (Deemed to Be University), Bangalore, 560029, India; Kirubanand V.B., Department of Computer Science, Christ (Deemed to Be University), Bangalore, 560029, 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 Artificial Intelligence in Data-Driven Analytics for the Personalized Healthcare Subject The topic of the resource Big Data Analytics; Data-driven analytics; Data-driven medicine; Digital health; Expert systems; Health intelligence; smart healthcare Description An account of the resource Among the various developments in progress over the last decade, we have seen the generous growth of information investigation to take care of, plan, and use a lot of information beneficially. Be that as it may, because the analysis of evidence will only operate for authentic information and have findings as predefined by individuals, explicit principle-based calculations have been developed to broaden the investigation of information, 'Which is usually referred to as 'AI'. AI didn't expect PCs to be personalized unambiguously, which is a definite bit of leeway. In order to break down information and construct complicated equations to foresee models, which was called prescient analysis, AI was then joined with information inquiry. A set of laws characterized by persons, known as prescient equations, drive the prescient inquiry, and are used to break down genuine knowledge in order to predict potential outcomes. 2021 IEEE. Creator An entity primarily responsible for making the resource Sivabalaselvamani D.; Selvakarthi D.; Yogapriya J.; Thiruvenkatasuresh M.P.; Maruthappa M.; Chandra A.S. Source A related resource from which the described resource is derived 2021 International Conference on Computer Communication and Informatics, ICCCI 2021 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/ICCCI50826.2021.9402703" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ICCCI50826.2021.9402703</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85104943960&doi=10.1109%2FICCCI50826.2021.9402703&partnerID=40&md5=5d81a375916441f11b764c3ecf9c7034" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85104943960&doi=10.1109%2fICCCI50826.2021.9402703&partnerID=40&md5=5d81a375916441f11b764c3ecf9c7034</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 978-172815875-4 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 Sivabalaselvamani D., Kongu Engineering College Perundurai, Department of Computer Applications, Erode, Tamilnadu, 638060, India; Selvakarthi D., Kongu Engineering College Perundurai, Department of Electronics and Instrumentation Engineering, Erode, Tamilnadu, 638060, India; Yogapriya J., Kongunadu College of Engineering and Technology, Department of Computer Science and Engineering, Trichy, Tamilnadu, India; Thiruvenkatasuresh M.P., Erode Sengunthar Engineering College, Department of Computer Science and Engineering, Erode, Tamilnadu, India; Maruthappa M., School of Engineering and Technology, Sunway University, Malaysia; Chandra A.S., Institute of Management, Christ University (Deemed to Be University), Bengaluru, Karnataka, 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 Inplane Lateral Load Behaviour of Masonry Walls Subject The topic of the resource Pushover analysis; Storey-shear mechanism; Unreinforced masonry Description An account of the resource Masonry is one of the commonly used construction technology both in urban and rural areas. In this paper the in-plane behaviour of masonry walls is analytically studied considering existing closed form equations. Previous studies have proven that the lateral load behaviour mainly depends on the aspect ratios (h/L) as well as the axial loads. From this analysis the governing failure is determined and the lateral load versus lateral deflection curve is plotted for various percentages of axial loads. This graph gives the ductility of the wall. This concept is further applied to a simple masonry structure and the push over curve is plotted. 2020, Springer Nature Switzerland AG. Creator An entity primarily responsible for making the resource Sivadas A.; Kavya K.N.; Prakash P.; Sharma S.; Kollerathu J.A. Source A related resource from which the described resource is derived Lecture Notes in Civil Engineering, Vol-46, pp. 315-321. 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 2020-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1007/978-3-030-26365-2_30" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-3-030-26365-2_30</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85077430205&doi=10.1007%2F978-3-030-26365-2_30&partnerID=40&md5=c8fea2aaa11552e3b55634b113f11153" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85077430205&doi=10.1007%2f978-3-030-26365-2_30&partnerID=40&md5=c8fea2aaa11552e3b55634b113f11153</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 23662557 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 Sivadas A., Adi Shankara Institute of Engineering and Technology, Ernakulam, India; Kavya K.N., Adi Shankara Institute of Engineering and Technology, Ernakulam, India; Prakash P., Adi Shankara Institute of Engineering and Technology, Ernakulam, India; Sharma S., Adi Shankara Institute of Engineering and Technology, Ernakulam, India; Kollerathu J.A., Department of Civil Engineering, Faculty of Engineering, Christ (Deemed to be) University, 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 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 A Review on Influence of Cutting Fluid on Improving the Machinability of Inconel 718 Subject The topic of the resource Ceramic inserts; CNC milling machine; Flank surface; Inconel 718; Rake surface Description An account of the resource Nickel-based superalloys are widely used in the production and manufacturing sectors that require processes or applications that endure or operate at very high superheating temperatures. With the properties of high tensile strength, high melting point, and lightweight structural arrangement of molecules within the alloy material composition makes it more suitable for industrial utilization in aerospace industries and marine applications. This review paper discusses the use of various coolant lubricants that improves the machinability of Inconel 718 based on parameters such as surface roughness and tool wear under the influence of cutting speed, feed rate, and depth of cut. The machine used for analysis is CNC milling machine which will be used for experimentation using ceramic inserts as end milling tool. Various cooling techniques such as hybrid cooling, flood emulsion cooling, minimum quantity lubrication, and cryogenic cooling are being summarized in this paper from various experimentations and conclusions of other authors. On the basis of review, the hybrid cooling technique is found to be better than other cooling techniques because of its ability to obtain long tool life and smoother surface finish on the workpiece. With the use of these reviewed data, further research for finding a more compatible and effective cooling lubricant has to be done by experimentation in order to obtain an improved machining process for Inconel 718 material. 2020, Springer Nature Singapore Pte Ltd. Creator An entity primarily responsible for making the resource Sivadasan P.; Sharma G.S.; Rout I.S.; Pal Pandian P. Source A related resource from which the described resource is derived Springer Proceedings in Materials, Vol-8, pp. 497-504. Publisher An entity responsible for making the resource available Springer Nature 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/10.1007/978-981-15-7827-4_50" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-981-15-7827-4_50</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85127923275&doi=10.1007%2F978-981-15-7827-4_50&partnerID=40&md5=b4625d5a880af1f275aa2b0bba4d36c6" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85127923275&doi=10.1007%2f978-981-15-7827-4_50&partnerID=40&md5=b4625d5a880af1f275aa2b0bba4d36c6</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 26623161 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 Sivadasan P., CHRIST (Deemed to be University), Bangalore, India; Sharma G.S., CHRIST (Deemed to be University), Bangalore, India; Rout I.S., CHRIST (Deemed to be University), Bangalore, India; Pal Pandian P., CHRIST (Deemed to be University), 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 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 Deep Learning Based Multi Constraint Hybrid Optimization Algorithm for Transshipment-Based Inventory Routing with Dynamic Demands Subject The topic of the resource Dynamic demands; Inventory routing; Quantum neural network; Snake artificial ecosystem optimization; Transshipments Description An account of the resource The Inventory-Routing Problem (IRP) is considered a major issue in supply chain management as it comprises two areas: vehicle routing and inventory control. The existing techniqueswere unable to incorporate location details for enhancing the decision-making and it failed to consider the uncertainty of the demands. Hence to solve this issue, a Snake Artificial Ecosystem Optimization (SAEO) algorithm is proposed in this paper. The SAEO algorithm is developed to address the transshipment IRP with dynamic demands by combining the AEO model and SO to enhance the optimizer's performance. Further, a penalty strategy is proposed, where Deep Quantum Neural Network (DQNN) is employed for calculating the penalty for verifying the feasibility of the solution generated in case of violations in model constraints. In addition, the efficiency of the proposed SAEO-DQNN technique is examined by considering metrics, like transportation cost, transshipment cost, and total cost, and it achieved improved values of 0.391, 0.518, and 1.012 when compared to existing techniques such as Genetic Algorithm with Deep Reinforcement Learning (GA + Deep RL) and Kernel Search Multi-vehicle IRP (KSMIRP). The Author(s) 2024. Creator An entity primarily responsible for making the resource Sivadevuni S.S.; J N. Source A related resource from which the described resource is derived International Journal of Networked and Distributed Computing, Vol-13, No. 1 Publisher An entity responsible for making the resource available Springer Science and Business Media B.V. Date A point or period of time associated with an event in the lifecycle of the resource 2025-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1007/s44227-024-00048-7" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/s44227-024-00048-7</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85211185460&doi=10.1007%2Fs44227-024-00048-7&partnerID=40&md5=0096cc354e41a5f51be1c5dcea2b1551" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85211185460&doi=10.1007%2fs44227-024-00048-7&partnerID=40&md5=0096cc354e41a5f51be1c5dcea2b1551</a> Rights Information about rights held in and over the resource All Open Access; Gold Open Access Relation A related resource ISSN: 22117938 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 Sivadevuni S.S., Department of Computer Science and Engineering, School of Engineering and Technology, Christ University, Karnataka, Bangalore, 560001, India; J N., Department of Computer Science and Engineering, School of Engineering and Technology, Christ University, Karnataka, Bangalore, 560001, 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 WSETO: wild stock exchange trading optimization algorithm enabled routing for NB-IoT tracking system Subject The topic of the resource Global positioning system; Low power wide area networks; Narrowband internet of things; Stock exchange trading optimization; Wild geese algorithm Description An account of the resource The Narrowband Internet of Things (NB-IoT) communication plays a significant role in the IoT due to the capability of generating broad exploration with the usage of limited power. Over the past few years, the Low Power Wide Area Networks (LPWAN) have been efficient in the data acquisition and remote monitoring area however they failed to generate high data rates, low latency, and the consumption of low power. To solve these problems, NB-IoT technology has developed in long-term asset tracking and it replaces the Global Positioning System (GPS) with its ubiquitous coverage. In this research, the Wild Stock Exchange Trading Optimization technique (WSETO) is proposed for a routing-based NB-IoT tracking system. The WSETO is the combination of the Wild Geese Algorithm (WGA) and SETO. By employing WSETO, the routing to the relevant target location is established effectively. The existing techniques like Low Power Asset Tracking of NB-IoT (LoPATraN), Monitoring system based on NB-IoT and BeiDou System/GPS (BDS/GPS), and Narrowband Physical Uplink Shared Channel (NPUSCH) are used to compare the WSETO approach. In rounds with a value of 2000, the WSETO demonstrates a superior location error of 0.001 in comparison to existing methods such as LoPATraN, a monitoring system utilizing NB-IoT and BDS/GPS, as well as NPUSCH. Bharati Vidyapeeth's Institute of Computer Applications and Management 2024. Creator An entity primarily responsible for making the resource Sivadevuni S.S.; Naveen J. Source A related resource from which the described resource is derived International Journal of Information Technology (Singapore), Vol-16, No. 8, pp. 4895-4905. Publisher An entity responsible for making the resource available Springer Science and Business Media B.V. 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/s41870-024-02130-3" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/s41870-024-02130-3</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85202998712&doi=10.1007%2Fs41870-024-02130-3&partnerID=40&md5=e1f84c6894f739012623180388f7eed9" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85202998712&doi=10.1007%2fs41870-024-02130-3&partnerID=40&md5=e1f84c6894f739012623180388f7eed9</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 25112104 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 Sivadevuni S.S., Department of Computer Science and Engineering, School of Engineering and Technology, Christ University, Karnataka, Bangalore, 560001, India; Naveen J., Department of Computer Science and Engineering, School of Engineering and Technology, Christ University, Karnataka, Bangalore, 560001, 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 Tracking and Localization of Devices - An IoT Review Subject The topic of the resource Internet of Things; Localization; Tracking; Wireless Sensor Networks Description An account of the resource S everal IoT applications have immediate impacts on daily lives. The notion of "connected life, which includes IoT has been discussed. Apps that rely on localization are also featured. IoT is originally used to determine the precise position of things, animals, and people. The second tracks everyone and everything that's on the move, including pets, kids, and the elderly people. Localization and tracking are integral parts of security and surveillance systems in interconnected homes. This study reviews the state-of-the-art IoT-based localization and tracking approaches and outlines the key technical aspects, and contrast localization initiatives based on Internet of Things (IoT) with those that do not show how they might be used in a variety of contexts. It is now well established that localization and tracking methods based on the Internet of Things (IoT) are more pervasive and accurate than their predecessors. 2023 IEEE. Creator An entity primarily responsible for making the resource Sivadevuni S.S.; Ravichandran S.K. Source A related resource from which the described resource is derived 6th International Conference on Inventive Computation Technologies, ICICT 2023 - Proceedings, pp. 1321-1325. 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/ICICT57646.2023.10134278" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ICICT57646.2023.10134278</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85163485509&doi=10.1109%2FICICT57646.2023.10134278&partnerID=40&md5=c87cc7a79ab413078cfba05ee16e6c84" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85163485509&doi=10.1109%2fICICT57646.2023.10134278&partnerID=40&md5=c87cc7a79ab413078cfba05ee16e6c84</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 979-835039849-6 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 Sivadevuni S.S., Department of Computer Science and Engineering, Christ University, Bengaluru, India; Ravichandran S.K., Department of Computer Science and Engineering, Christ University, 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 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 Dirichlet Feature Embedding with Adaptive Long Short-Term Memory Model for Intrusion Detection System Subject The topic of the resource adaptive long short-term memory; Dirichlet feature embedding; false alarm rate; intrusion detection system; NSL-KDD Description An account of the resource Intrusion Detection System is applied in the network to monitor the network activity and detect the intruder to protect the user data. Various existing models have been applied in the intrusion detection system and have the limitations of high False Alarm Rate (FAR), overfitting problem and data imbalance problem. In this research, Dirichlet Feature Embedding based Adaptive Long Short Term Memory (DFE-LSTM) model is proposed to improve the efficiency of the intrusion detection. The Dirichlet Feature Embedding (DFE) method is applied to effectively represent the feature to analysis the multi-variate of the input data. The enhanced Adaptive Long Short Term Memory (ALSTM) model is applied to select the optimal parameter for the LSTM model to improve the learning rate. The proposed DFE-ALSTM model is compared to three datasets such as UNSW-NB15, NSL-KDD and Kyoto 2006+ for evaluate the efficiency. The proposed DFE-ALSTM model has the accuracy of 94.32 % and existing NB-SVM has 93.75 % accuracy in intrusion detection on UNSW-NB15 dataset. 2022, Success Culture Press. All rights reserved. Creator An entity primarily responsible for making the resource Sivakami R.; Uday Kiran G.; Arun M.; David L.G.; Manohar M. Source A related resource from which the described resource is derived Journal of System and Management Sciences, Vol-12, No. 4, pp. 398-412. Publisher An entity responsible for making the resource available Success Culture Press 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/10.33168/JSMS.2022.0424" target="_blank" rel="noreferrer noopener">https://doi.org/10.33168/JSMS.2022.0424</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85137839497&doi=10.33168%2FJSMS.2022.0424&partnerID=40&md5=a194dff25d913dd5637fd1107e50ca48" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85137839497&doi=10.33168%2fJSMS.2022.0424&partnerID=40&md5=a194dff25d913dd5637fd1107e50ca48</a> Rights Information about rights held in and over the resource All Open Access; Gold Open Access Relation A related resource ISSN: 18166075 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 Sivakami R., Department of Computer Science and Engineering, Sona College of Technology, Tamil Nadu, Salem, 636005, India; Uday Kiran G., Department of Computer Science and Engineering, B V Raju Institute of Technology, Telangana, Narsapur, 502313, India; Arun M., Department of Electronics and Communication Engineering, Panimalar Institute of Technology, Chennai, India; David L.G., Department of Visual Communication, Kumaraguru College of Liberal Arts and Science, Coimbatore, India; Manohar M., Department of Computer Science and Engineering, CHRIST (Deemed to be University), Karnataka, Bangalore, 560029, 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 Multifarious pigment producing fungi of Western Ghats and their potential Subject The topic of the resource anticancer; endophyte; fungi; natural colorant; pigments; Western Ghats Description An account of the resource Concerns about the negative impacts of synthetic colorants on both con-sumers and the environment have sparked a surge of interest in natural col-orants. This has boosted the global demand for natural colorants in the food, cosmetics and textile industries. Pigments and colorants derived from plants and microorganisms are currently the principal sources used by mod-ern industry. When compared to the hazardous effects of synthetic dyes on human health, natural colors are quickly degradable and have no negative consequences. In fact, fungal pigments have multidimensional bioactivity spectra too. Western Ghats, a biodiversity hotspot has a lot of unique eco-logical niches known to harbor potential endophytic pigment-producing fungi having enumerable industrial and medical applications. Most of the fungi have coevolved with the plants in a geographical niche and hence the endophytic associations can be thought to bring about many mutually ben-eficial traits. The current review aims to highlight the potential of fungal pigments found in the Western ghats of India depicting various methods of isolation and screening, pigment extraction and uses. There is an urgent need for bioprospecting for the identification and characterization of ex-tremophilic endophytic fungi to meet industry demands and attain sustain-ability and balance in nature, especially from geographic hotspots like the Western Ghats. 2022 Horizon e-Publishing Group. All rights reserved. Creator An entity primarily responsible for making the resource Sivakumar B.; Rao N.R.; Poornamath B.P.; Jayaram S.; Sarojini S. Source A related resource from which the described resource is derived Plant Science Today, Vol-9, No. 3, pp. 733-747. Publisher An entity responsible for making the resource available Horizon e-Publishing Group 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/10.14719/pst.1759" target="_blank" rel="noreferrer noopener">https://doi.org/10.14719/pst.1759</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85135534637&doi=10.14719%2Fpst.1759&partnerID=40&md5=abfc81a6ef9003ef8467c0d2792ff6f1" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85135534637&doi=10.14719%2fpst.1759&partnerID=40&md5=abfc81a6ef9003ef8467c0d2792ff6f1</a> Rights Information about rights held in and over the resource All Open Access; Gold Open Access Relation A related resource ISSN: 23481900 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 Sivakumar B., Department of Life Sciences, CHRIST (Deemed to be University), Bengaluru, 560 029, India; Rao N.R., Department of Life Sciences, CHRIST (Deemed to be University), Bengaluru, 560 029, India; Poornamath B.P., Department of Life Sciences, CHRIST (Deemed to be University), Bengaluru, 560 029, India; Jayaram S., Department of Life Sciences, CHRIST (Deemed to be University), Bengaluru, 560 029, India; Sarojini S., Department of Life Sciences, CHRIST (Deemed to be University), Bengaluru, 560 029, 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 A novel free space communication system using nonlinear InGaAsP microsystem resonators for enabling power-control toward smart cities Subject The topic of the resource Demand response; Free space communication (FSO); Metering infrastructure; Microring resonator (MRR); Smart grid (SG) Description An account of the resource Nowadays, the smart grid has demonstrated a great ability to make life easier and more comfortable given recent advances. This paper studies the above issue from the perspective of two important and very useful smart grid applications, i.e., the advanced metering infrastructure and demand response using the instrumentality of a set of well-known scheduling algorithms, e.g., best-channel quality indicator, log rule, round robin, and exponentialproportional fairness to validate the performance. To increase the data transmission bandwidth, a new concept of optical wireless communication known as free-space optical communication (FSO) system based on microring resonator (MRR) with the ability to deliver up to gigabit (line of sight) transmission per second is proposed for the two studied smart grid applications. The range between 374.7 and 374.79THz frequency band was chosen for the generation of 10 successive-carriers with a free spectral range of 8.87GHz. The ten multi-carriers were produced through drop port of the MRR. The results show up to 10 times bandwidth improvement over the radius as large as 600m and maintain receive power higher than the minimum threshold (? 20dBm) at the controller/users, so the overall system is still able to detect the FSO signal and extract the original data without detection. 2019, Springer Science+Business Media, LLC, part of Springer Nature. Creator An entity primarily responsible for making the resource Sivakumar P.; Nagaraju R.; Samanta D.; Sivaram M.; Hindia M.N.; Amiri I.S. Source A related resource from which the described resource is derived Wireless Networks, Vol-26, No. 4, pp. 2317-2328. 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 2020-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1007/s11276-019-02075-7" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/s11276-019-02075-7</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85068323115&doi=10.1007%2Fs11276-019-02075-7&partnerID=40&md5=ca2b2f6ea0abbd030a0ca89a2955ca53" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85068323115&doi=10.1007%2fs11276-019-02075-7&partnerID=40&md5=ca2b2f6ea0abbd030a0ca89a2955ca53</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 10220038; CODEN: WINEF 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 Sivakumar P., Department of EEE, PSG College of Technology, Coimbatore, India; Nagaraju R., Department of Computer Science and Engineering, Sreyas Institute of Engineering and Technology, Hyderabad, India; Samanta D., Department of CSE, Christ (Deemed to be University), Bangalore, India; Sivaram M., Department of CSE, Lebanese French University, Erbil, Kurdistan Region, Iraq; Hindia M.N., Department Wireless Communication Centre, Faculty of Electrical Engineering, Universiti Teknologi Malaysia, Skudai, Johor, Malaysia; Amiri I.S., Computational Optics Research Group, Advanced Institute of Materials Science, Ton Duc Thang University, Ho Chi Minh City, Viet Nam, Faculty of Applied Sciences, Ton Duc Thang University, Ho Chi Minh City, Viet Nam 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 Heart Disease PredictionA Computational Machine Learning Model Perspective Subject The topic of the resource AdaBoost; Artificial neural network; Decision tree; Ensemble; K-nearest neighbors; Logistic regression; Machine learning; Naive Bayes; Random forest; Supervised; Support vector machine; Unsupervised; XGBoost Description An account of the resource Relying on medical instruments to predict heart disease is either expensive or inefficient. It is important to detect cardiac diseases early to avoid complications and reduce the death rate. This research aims to compare various machine learning models using supervised learning techniques to find a better model that gives the highest accuracy for heart disease prediction. This research compares standalone and ensemble models for prediction analysis. Six standalone models are logistic regression, Naive Bayes, support vector machine, K-nearest neighbors, artificial neural network, and decision tree. The three ensemble models include random forest, AdaBoost, and XGBoost. Feature engineering is done with principal component analysis (PCA). The experimental process resulted in random forest giving better prediction analysis with 92% accuracy. Random forest can handle both regression and classification tasks. The predictions it generates are accurate and simple to comprehend. It is capable of effectively handling big datasets. Utilizing numerous trees avoids and inhibits overfitting. Instead of searching for the most prominent feature when splitting a node, it seeks out an optimal feature among a randomly selected feature set in order to minimize the variance. Due to all these reasons, it has performed better. 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. Creator An entity primarily responsible for making the resource Sivakumar S.; Swetha Cordelia A.; Harishwaran S.; Kumar S.; Kokatnoor S.A. Source A related resource from which the described resource is derived Smart Innovation, Systems and Technologies, Vol-351, pp. 281-293. 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/10.1007/978-981-99-2468-4_22" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-981-99-2468-4_22</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85169038630&doi=10.1007%2F978-981-99-2468-4_22&partnerID=40&md5=5810f1fca2536bca245f623638245648" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85169038630&doi=10.1007%2f978-981-99-2468-4_22&partnerID=40&md5=5810f1fca2536bca245f623638245648</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 21903018; ISBN: 978-981992467-7 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 Sivakumar S., Department of Computer Science and Engineering, School of Engineering and Technology, CHRIST (Deemed to be University), Karnataka, Bangalore, 560074, India; Swetha Cordelia A., Department of Computer Science and Engineering, School of Engineering and Technology, CHRIST (Deemed to be University), Karnataka, Bangalore, 560074, India; Harishwaran S., Department of Computer Science and Engineering, School of Engineering and Technology, CHRIST (Deemed to be University), Karnataka, Bangalore, 560074, India; Kumar S., Department of Computer Science and Engineering, School of Engineering and Technology, CHRIST (Deemed to be University), Karnataka, Bangalore, 560074, India; Kokatnoor S.A., Department of Computer Science and Engineering, School of Engineering and Technology, CHRIST (Deemed to be University), Karnataka, Bangalore, 560074, 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 A Review of Optimization Algorithms Used in Proportional Integral Controllers (PID) for Automatic Voltage Regulators Description An account of the resource The voltage in electrical grids is maintained at its nominal value by automatic voltage regulators (AVR). In AVR systems, proportional-integral-derivative (PID) is the most popular controllers due to their robust performance and simplicity. Controlling the parameters of proportional-integral-derivative (PID) controllers, which are used in AVR technology, is a nonlinear optimization problem. Optimization issues are of great importance to both the industrial and scientific worlds. A PID controller's objective function is designed to minimize the settling time, rise time, and overshoot of the step response of the resultant voltage. This paper presents the performance comparison of six optimization algorithms such as Enhanced Crow Search Algorithm (ECSA-PID), Slime Mould algorithm (SMA-PID), Future Search Algorithm (FSA-PID), Whale Optimization Algorithm (WOAPID), Equilibrium Optimizer (EO-PID) and Archimede's Optimization algorithm (AOA-PID) used in recent literatures. The Electrochemical Society Creator An entity primarily responsible for making the resource Sivanandhan A.; Aneesh V. Source A related resource from which the described resource is derived ECS Transactions, Vol-107, No. 1, pp. 5927-5934. Publisher An entity responsible for making the resource available Institute of Physics 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/10.1149/10701.5927ecst" target="_blank" rel="noreferrer noopener">https://doi.org/10.1149/10701.5927ecst</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85130553625&doi=10.1149%2F10701.5927ecst&partnerID=40&md5=3dd094518d954a16280d7723488d4be6" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85130553625&doi=10.1149%2f10701.5927ecst&partnerID=40&md5=3dd094518d954a16280d7723488d4be6</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 19386737; ISBN: 978-160768539-5 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 Sivanandhan A., Department of Electronics and Communication Engineering, CHRIST (Deemed to be University), Bengaluru, India, Department of Applied Electronics and Instrumentation, Mount Zion College of Engineering, Kadammanitta, Kerala, India; Aneesh V., Department of Electronics and Communication Engineering, CHRIST (Deemed to be University), 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 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 Optimal design of controller for automatic voltage regulator performance enhancement: a survey Subject The topic of the resource Automatic voltage regulator (AVR); Fraction order proportional integral derivative (FOPID) controller; Fuzzy logic controller; Intelligent controller; Nonlinear system; Optimization technique; Proportional integral derivative (PID) controller Description An account of the resource For regulating the Synchronous Generator (SG) output voltage, the Automatic Voltage Regulator (AVR) system is a significant device. This work propounds a survey on Optimization Algorithms (OAs) utilized for tuning the controller parameters on the AVR system. A device wielded for adjusting the SGs Terminal Voltage (TV) is named AVR. A Controller is utilized for improving stability and getting a superior response by mitigating maximum Over Shoot (OS), reducing Rise Time (RT), reducing Settling Time (ST), and enhancing Steady State Error (SSE) since output voltage has a slower response and instability. The controllers utilized here are Proportional-Integral-Derivative (PID), Intelligent Controller (IC), along with Fraction Order PID (FOPID). Owing to the occurrence of time delays, nonlinear loads, variable operating points, and others, OAs are wielded for tuning the controller. (a) Particle Swarm Optimization (PSO), (b) Genetic Algorithm (GA), (c) Gray Wolf Optimizer (GWO), (d) Harmony Search Algorithm (HSA), (e) Artificial Bee Colony (ABC), (f) Teaching Learned Based Optimization (TLBO), et cetera are the various sorts of OA. For enhancing the TV response along with stability, various OAs were tried by researchers. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2024. Creator An entity primarily responsible for making the resource Sivanandhan A.; Thriveni G. Source A related resource from which the described resource is derived Electrical Engineering, Vol-106, No. 4, pp. 3705-3720. 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 2024-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1007/s00202-023-02196-5" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/s00202-023-02196-5</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85181471924&doi=10.1007%2Fs00202-023-02196-5&partnerID=40&md5=53658e655ce6f6e8ba899eadab08f189" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85181471924&doi=10.1007%2fs00202-023-02196-5&partnerID=40&md5=53658e655ce6f6e8ba899eadab08f189</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 9487921; CODEN: EENGF 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 Sivanandhan A., Department of Electronics and Communication Engineering, CHRIST [Deemed to be University], Bengaluru, India; Thriveni G., Department of Electronics and Communication Engineering, CHRIST [Deemed to be University], 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 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 A hybrid technique linked FOPID for a nonlinear system based on closed-loop settling time of plant Subject The topic of the resource Closed-loop model; Fopid controller; Gain Parameters; Non-linear system; Overshoot; Stability; Wind and hydro power plant Description An account of the resource Wind and hydroelectric systems are more cost-effective and environmentally beneficial. A hybrid technique is proposed for the fractional-order proportional-integral-derivative (FOPID) controller to regulate the wind and hydro system. The proposed hybrid technique combines the feedback-artificial-tree (FAT), and atomic-orbital-search (AOS); together known as FAT-AOS approach. The proposed technique is utilized to decide the optimum controller parameters, and it guarantees system constancy in large disturbances using less computation and overshoot by restraining the parameter variation. The FAT is used to predict the optimum gain parameter of FOPID, and minimizing the system error is accomplished with the AOS approach. The performance metrics are peak time, rise time, settling time, and peak overshoot, are analyzed. The performance of the proposed method is done in the MATLAB platform. The simulation result of proposed approach for the rise time as 0.001 sec, settling time is 0.012 sec, and the overshoot percentage is 0.02 %. By comparing the existing methods, like Ant lion optimizer (ALO), Salp swarm algorithm (SSA), Particle swarm optimization (PSO), the proposed approach rise time and settling time overshoot, is less. The comparison proves that the proposed system delivers improved outcome than existing systems. 2024 Creator An entity primarily responsible for making the resource Sivanandhan A.; V A. Source A related resource from which the described resource is derived Robotics and Autonomous Systems, Vol-176 Publisher An entity responsible for making the resource available Elsevier B.V. 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/10.1016/j.robot.2024.104651" target="_blank" rel="noreferrer noopener">https://doi.org/10.1016/j.robot.2024.104651</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85188512617&doi=10.1016%2Fj.robot.2024.104651&partnerID=40&md5=084f7c76b3062c6d429e1d29041f17a1" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85188512617&doi=10.1016%2fj.robot.2024.104651&partnerID=40&md5=084f7c76b3062c6d429e1d29041f17a1</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 9218890; CODEN: RASOE 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 Sivanandhan A., Department of Electronics and Communication Engineering, CHRIST [Deemed to be University], Karnataka, Bengaluru, India, Department of Applied Electronics and Instrumentation, Mount Zion College of Engineering, Kerala, Kadammanitta, India; V A., Department of Electronics and Communication Engineering, 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 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 The Hubble tension: Change in dark energy or a case for modified gravity? Subject The topic of the resource Dark energy; Dark matter; Hubble tension; Modified gravity Description An account of the resource Recently, much controversy has been raised about the cosmological conundrum involving the discrepancy in the value of the Hubble constant as implied by Planck satellite observations of the CMBR in the early Universe and that deduced from other distance indicators (for instance using standard candles like supernovae, tip of the red giant branch, etc.) in the present epoch. The Planck estimate is about 67km-1Mpc-1, while that deduced from distance indicators at the present epoch is around 73-74km-1Mpc-1. Also the independent determination of the local value of the Hubble constant based on a calibration of the tip of the red giant branch and applied to Type Ia supernovae found a value of 69.8km-1Mpc-1. Here we propose a modification of the gravitational field on large scales as an alternate explanation for this discrepancy in the value of the Hubble constant as implied in the above-mentioned method, i.e., by Planck observations of the CMBR in the early Universe, and that deduced from other distance indicators in the present epoch. 2021, Indian Association for the Cultivation of Science. Creator An entity primarily responsible for making the resource Sivaram C.; Arun K.; Rebecca L. Source A related resource from which the described resource is derived Indian Journal of Physics, Vol-96, No. 4, pp. 1289-1292. 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 2022-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1007/s12648-021-02080-7" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/s12648-021-02080-7</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85104263543&doi=10.1007%2Fs12648-021-02080-7&partnerID=40&md5=ed13bbdc88e11117cf6db1ab47624e2c" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85104263543&doi=10.1007%2fs12648-021-02080-7&partnerID=40&md5=ed13bbdc88e11117cf6db1ab47624e2c</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 9731458 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 Sivaram C., Indian Institute of Astrophysics, Bangalore, 560 034, India; Arun K., Christ Junior College, Bangalore, 560 029, India, Department of Physics and Electronics, CHRIST (Deemed to be University), Bengaluru, 560029, India; Rebecca L., Christ Junior College, Bangalore, 560 029, 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 Reimagining Future of Future by redesigning Talent Strategy in the Age of Distraction and Disruption Subject The topic of the resource Diversity; Local leader; Mental Health Support; Remote Work; Talent strategy; Transparency Description An account of the resource The coronavirus 2019 (COVID-19) pandemic promoted the development of Industry 4.0 leading to the fifth industrial revolution (Industry 5.0). It brought in new ways of working and the role of the office in the future. It redesigned the workplace to support organizational priorities and resize the footprint creatively. Digitalization and globalization have sparked radical shifts in how employees live and work. In an age of digital disruption, companies and HR leaders are forced to revise organizational on how they organize, recruit, develop, manage and engage the 21st-century workforce. The big questions are: how can HR help business leaders reconstruct the workforce of the future? What effort has the company take to change future work and their workforce today so that it looks different 15 years later? Organizational agility, careers and learning disruption, talent disruption, rethinking performance management and people analytics in addition to creating the right structure, analysis, and standardized people metrics are the key to success and critical drivers to design talent strategy. This study aims to identify the magic ingredient (or strategies) behind managing an organization's talent in creating business success. We further examined and mathematically modelled these strategies in attracting and retaining high-quality employees, developing their skills, and continuously motivating them to improve their performance in the age of distraction and disruption. 354 employees from IT companies participated in the survey. The findings of the study show, as expected, that a compelling employer brand is the most effective talent management strategy of all when it combines three key drivers: organizational culture, organization goodwill and competition for talent. Gender was statistically, significantly and positively associated with the imperatives to reset the future of work agenda. 2021. All Rights Reserved. Creator An entity primarily responsible for making the resource Sivarethinamohan R.; Kavitha D.; Koshy E.R.; Toms B. Source A related resource from which the described resource is derived International Journal of Systematic Innovation, Vol-6, No. 4, pp. 33-45. Publisher An entity responsible for making the resource available Society of Sytematic Innovation 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/10.6977/IJoSI.202106_6(4).0003" target="_blank" rel="noreferrer noopener">https://doi.org/10.6977/IJoSI.202106_6(4).0003</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85112849911&doi=10.6977%2FIJoSI.202106_6%284%29.0003&partnerID=40&md5=87a4435ffdfe56f2779d6fb575021379" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85112849911&doi=10.6977%2fIJoSI.202106_6%284%29.0003&partnerID=40&md5=87a4435ffdfe56f2779d6fb575021379</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 20777973 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 Sivarethinamohan R., Department of Professional Studies, CHRIST (Deemed to be University), Bengaluru, India; Kavitha D., Department of Professional Studies, CHRIST (Deemed to be University), Bengaluru, India; Koshy E.R., Department of Professional Studies, CHRIST (Deemed to be University), Bengaluru, India; Toms B., Department of Professional Studies, CHRIST (Deemed to be University), 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 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 Key challenges in developing and executing higher education learners' learning outcomes Description An account of the resource This chapter examines higher education institutions' complex obstacles in developing and implementing effective learning outcomes. It emphasizes the need for outcomes that include subject-specific and general skills, meet students' diverse requirements, align with market demands, and incorporate emerging technologies. To facilitate student success in the 21st century, institutions must address these. It examines multidisciplinary programs, technology integration, faculty training, and student participation in outcome formation. It proposes enhancing outcomes through emerging technologies, social and emotional learning, global citizenship education, and entrepreneurship education, emphasizing student-centred approaches. Effective learning outcomes are essential for fostering student success in a constantly changing environment. Case studies from India, the United Kingdom, and the United States provide insights, emphasizing India and lessons from the US and UK experiences. 2024, IGI Global. All rights reserved. Creator An entity primarily responsible for making the resource Sivarethinamohan R.; Singha S.; Singha R. Source A related resource from which the described resource is derived Design and Implementation of Higher Education Learners' Learning Outcomes (HELLO), pp. 196-214. 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 2023-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.4018/978-1-6684-9472-1.ch013" target="_blank" rel="noreferrer noopener">https://doi.org/10.4018/978-1-6684-9472-1.ch013</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85183760327&doi=10.4018%2F978-1-6684-9472-1.ch013&partnerID=40&md5=8e6c3247ad69890e2c6f57b1d4e6ef43" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85183760327&doi=10.4018%2f978-1-6684-9472-1.ch013&partnerID=40&md5=8e6c3247ad69890e2c6f57b1d4e6ef43</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 978-166849473-8; 978-166849472-1 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 Sivarethinamohan R., Symbiosis International University, India; Singha S., Kristu Jayanti College (Autonomous), India; Singha R., 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 Environmental Management: Pragmatic Suitability of Low Cost Activated Carbon in Lead (II)Ion Removal by Continuous Mode of Adsorption Subject The topic of the resource Activated carbon; Breakthrough curve; Fixed-bed column; Heavy metal Description An account of the resource Heavy metals such as chromium, lead, and arsenic are usually present in trace amounts in natural waters but many of them are toxic even at very low concentrations. An increasing quantity of heavy metals in our resources is currently an area of greater concern, especially since a large number of industries are discharging their metal containing effluents into freshwater without any adequate treatment. Activated carbons show a significant ability in removing heavy metal ions from an aqueous solution by adsorption, which has been examined by many researchers. Activated carbon derived from Manilkarazapota tree-wood (MZTWAC), which was found to be a suitable adsorbent for the removal of lead ions through continuous adsorption mode, was examined in this paper. A breakthrough curve has been plotted to find the effect of initial concentration and adsorbent bed height in the adsorption of lead (II)ion through MZTWAC. The breakthrough time and the saturation time increased as the initial concentration increased from 40 mg.L-1 to 60 mg.L-1. The saturation time was in the incremental mode when the bed height was increased from 5 cm to 7 cm bed thickness for 40 mg.L-1 concentration. Adams-Boharts model perfectly fits with this fixed-bed column in the removal of lead(II) from an aqueous solution using MZTWAC. Activated carbon derived from MZTWAC is better suited for the purpose of detoxifying metal-contaminated wastewater. 2021 Technoscience Publications. All rights reserved. Creator An entity primarily responsible for making the resource Sivarethinamohan R.; Sujatha S. Source A related resource from which the described resource is derived Nature Environment and Pollution Technology, Vol-20, No. 4, pp. 1849-1853. Publisher An entity responsible for making the resource available Technoscience Publications 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/10.46488/NEPT.2021.v20i04.053" target="_blank" rel="noreferrer noopener">https://doi.org/10.46488/NEPT.2021.v20i04.053</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85121967121&doi=10.46488%2FNEPT.2021.v20i04.053&partnerID=40&md5=145252bf25410411240ebb56495f979f" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85121967121&doi=10.46488%2fNEPT.2021.v20i04.053&partnerID=40&md5=145252bf25410411240ebb56495f979f</a> Rights Information about rights held in and over the resource All Open Access; Gold Open Access Relation A related resource ISSN: 9726268 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 Sivarethinamohan R., Christ (Deemed to be University), Bangalore, India; Sujatha S., K. Ramakrishnan College of Technology, Tamil Nadu, India