411 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 Optimization of multiple responses using overlaid contour plot and steepest methods analysis on hydroxyapatite coated magnesium via cold spray deposition Subject The topic of the resource Coating; Cold spray; Hydroxyapatite; Multiple responses; Overlaid method; Steepest method Description An account of the resource In this work, sequential optimization strategy based statistical design was employed to enhance the mechanical properties of hydroxyapatite coatings onto a pure magnesium substrate using a cold spray technique. A fractional factorial design (24-1) was applied to elucidate the process parameters that significantly affected the mechanical properties of the coating samples. Standoff distance, surface roughness, and substrate heating temperature were identified as important process parameters affecting thickness, nanohardness, and the elastic modulus of the coating sample. The overlaid method analysis was employed to determine tradeoff optimal values from multiple regressive equations. Then, finally, steepest method analysis was used to reconfirm and relocate the optimal domain from which the factor levels for maximum mechanical properties of the coating were determined at 49.77mm standoff distance, 926.4grit surface roughness, and 456C substrate heating temperature, which can accommodate the optimum requirements for the cold spray process with a coating of 49.77?m thickness, 462.61MPa nanohardness, and 45.69GPa elastic modulus. Scanning electron microscopy revealed that a short standoff distance, high surface roughness, and high substrate temperatures improved the bond between the coated layers and substrates. 2015 Elsevier B.V. Creator An entity primarily responsible for making the resource Hasniyati M.R.; Zuhailawati H.; Sivakumar R.; Dhindaw B.K. Source A related resource from which the described resource is derived Surface and Coatings Technology, Vol-280, pp. 250-255. 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 2015-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1016/j.surfcoat.2015.09.006" target="_blank" rel="noreferrer noopener">https://doi.org/10.1016/j.surfcoat.2015.09.006</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-84944217914&doi=10.1016%2Fj.surfcoat.2015.09.006&partnerID=40&md5=b1e58563480e3339e0eabf7e1c726aa7" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-84944217914&doi=10.1016%2fj.surfcoat.2015.09.006&partnerID=40&md5=b1e58563480e3339e0eabf7e1c726aa7</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 2578972 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 Hasniyati M.R., Biomaterials Niche Area Group, School of Materials and Mineral Resources Engineering, Universiti Sains Malaysia, Engineering Campus, Nibong Tebal, Penang, 14300, Malaysia; Zuhailawati H., Biomaterials Niche Area Group, School of Materials and Mineral Resources Engineering, Universiti Sains Malaysia, Engineering Campus, Nibong Tebal, Penang, 14300, Malaysia; Sivakumar R., Biomaterials Niche Area Group, School of Materials and Mineral Resources Engineering, Universiti Sains Malaysia, Engineering Campus, Nibong Tebal, Penang, 14300, Malaysia; Dhindaw B.K., Faculty of Engineering, Christ University, Bangalore, 560060, 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 Optimization-Based Cash Management Model for Microfinance Applications Using GSA and PSO Subject The topic of the resource Cash forecasting; Daily model; GSA; Minimization; Optimization; PSO Description An account of the resource Banks and businesses use cash as a means for exchange in finance on a regular basis to please customers. Making decisions about cash management can be challenging because banks must keep significant sums of cash in order to sustain high levels of client satisfaction. In this paper, linear PSO and GSA models are given for estimating the daily cash demand of a bank by taking into account the variables Year of Reference (RY), Years Month (My), Months Day (Dm), Days Week (Dw), Payday Effect Salary (Se), and Holiday Effect (He). Using PSO and GSA in MATLAB, the algorithms for estimating both the model coefficients for short term are implemented from the real data of a specific bank branch. The proposed system's overall cost is minimized using a fitness function. It was discovered that the results are in good accord with the observed data and that the PSO-based cash management model outperformed other models with superior accuracy. The models are then used for future cash management for validation. The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024. Creator An entity primarily responsible for making the resource Alli A.; Sheetal; Deepa S. Source A related resource from which the described resource is derived Smart Innovation, Systems and Technologies, Vol-395 SIST, pp. 221-231. 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/10.1007/978-981-97-5081-8_19" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-981-97-5081-8_19</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85208616430&doi=10.1007%2F978-981-97-5081-8_19&partnerID=40&md5=3973ca643457ac141547e1533fc367ab" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85208616430&doi=10.1007%2f978-981-97-5081-8_19&partnerID=40&md5=3973ca643457ac141547e1533fc367ab</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 21903018; ISBN: 978-981975080-1 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 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 Alli A., Presidency College, Bengaluru, India; Sheetal, Presidency College, Bengaluru, India; Deepa S., 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 Optimized deep maxout for breast cancer detection: consideration of pre-treatment and in-treatment aspect Subject The topic of the resource CT images; Fuzzy filter; Hierarchical DBSCAN (density-based clustering algorithm); Shark optimized deep Maxout neural network; Smell indulged shuffled shepherd optimization (SSISSO) Description An account of the resource Breast cancer is one of the deadliest diseases, accounting for the second-highest rate of cancer mortality among females. Breast tissue begins to develop cancerous, malignant lumps as the disease progresses. Self-examinations and routine clinical checks aid in early diagnosis, which considerably increases the likelihood of survival. Because of this, we have created a revolutionary method for finding breast cancer that has the following four steps. Fuzzy filters are used in the initial pre-processing stage to reduce noise and improve outcomes from the incoming data. In the second stage, we have presented an Improved Hierarchical DBSCAN (Density-based clustering algorithm) for the segmentation of anomalous areas. Feature extraction will be carried out following segmentation. We have also developed a better kurtosis-based feature to complement traditional statistical and shape-based features and deliver better results. The Optimized Deep Maxout Neural Network is used for classification in the final step, with the suggested Shark Smell Indulged Shuffled Shepherd Optimization used to optimize the weight parameter (SSISSO). At 90% the learning percentage of the proposed model SSISSO model has achieved 0.984391 accuracy, which is superior to 22.54%, 28.46%, 17.44%, 17%, 15.04%, 13.28%, 29.45%, 28.59%, 21.58%, and 30.72% as compared to other methods like SVM-BS1, CNN-BS7, LSTM, NN, Bi-GRU, RNN, ARCHO, AOA, HGS, CMBO, SSOA, and SSO. Finally, the results of the proposed breast cancer detection technique are compared with conventional techniques. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2023. Creator An entity primarily responsible for making the resource Rajput D.; Bejoy B.J. Source A related resource from which the described resource is derived Multimedia Tools and Applications, Vol-83, No. 10, pp. 31017-31047. 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/s11042-023-16505-4" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/s11042-023-16505-4</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85171287675&doi=10.1007%2Fs11042-023-16505-4&partnerID=40&md5=6f342ff1b2febc31a687f467770366a7" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85171287675&doi=10.1007%2fs11042-023-16505-4&partnerID=40&md5=6f342ff1b2febc31a687f467770366a7</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 13807501; CODEN: MTAPF 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 Rajput D., Department of Computer Science and Engineering, School of Engineering and Technology, CHRIST (Deemed to be University), Bangalore, 560074, India; Bejoy B.J., Department of Computer Science and Engineering, School of Engineering and Technology, CHRIST (Deemed to be University), 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 Optimized gateway oriented unicast and multicast routing for multi hop communication network Subject The topic of the resource Cluster head; Gateway; Multicasting; Routing; Unicasting Description An account of the resource Networking and communication in an infrastructure less environment had brought interest in the development of mobile ad hoc networks (MANET). Growth of technologies in years has increased the size of the network and its applications. In larger MANET, it becomes important to maintain the quality of performance for increased overhead scenarios. Grouping of network optimizes the workload with reduced overhead for routing and maintenance in larger MANET. Mobile nodes are grouped by the use of clustering algorithms. Once the MANET environment is formed, the network needs appropriate architecture and methods to have efficient and effective transactions. Mobility, energy, selection of cluster head and gateway are parallel related with efficiency metrics of the network optimizing these parameter helps to increase performance of network in terms of higher packet delivery ratio, less energy consumption and jitter. This work proposes a routing architectural algorithm especially for very large network to get high-quality performance. The proposed method uses unicasting and multicasting approaches in an optimized way for routing and maintenance of the network. Analysis results prove that the proposed model has performed with higher packet delivery ration of 1.17% with a reduced jitter of 0.0014 s. Springer Nature Singapore Pte Ltd 2017. Creator An entity primarily responsible for making the resource Sandeep J.; Umadevi M.; Devapriya M. Source A related resource from which the described resource is derived Communications in Computer and Information Science, Vol-775, pp. 193-205. Publisher An entity responsible for making the resource available Springer Verlag 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/10.1007/978-981-10-6427-2_16" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-981-10-6427-2_16</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85030836439&doi=10.1007%2F978-981-10-6427-2_16&partnerID=40&md5=f56dba5d722fe0ba2fea6836deae6492" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85030836439&doi=10.1007%2f978-981-10-6427-2_16&partnerID=40&md5=f56dba5d722fe0ba2fea6836deae6492</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 18650929; ISBN: 978-981106426-5 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 Sandeep J., Department of Computer Science, Christ University, Bangalore, India; Umadevi M., PG & Research Department of Computer Science, Government Arts College, Coimbatore, India; Devapriya M., PG & Research Department of Computer Science, Government Arts College, Coimbatore, 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 Optimized green synthesis of ZnO nanoparticles: evaluation of structural, morphological, vibrational and optical properties Description An account of the resource In this study, leaf extracts of Aloe vera (AV), Azadirachta indica (AI), and Amaranthus dubius (AD) were used to synthesize zinc oxide nanoparticles utilizing a simple green synthesis process. The structural, optical, band energy, size, surface area, and shape of as-prepared nanoparticles were studied using analytical techniques. The hexagonal phase was revealed by XRD studies for all three samples: AV-ZnO, AI-ZnO, and AD-ZnO, with crystallite sizes of 35.8nm, 30.83nm, and 33.1nm, respectively. The UVVisible spectra of AV-ZnO, AI-ZnO, and AD-ZnO exhibit the characteristic absorption in the range of 200 to 450nm, and the band gap energy was found to be 3.10eV, 3.12eV, and 3.07eV, respectively. FESEM and TEM studies revealed that the ZnO NPs are rod-shaped with a roughly spherical appearance. EDAX analysis confirmed the presence of zinc and oxygen and indicates that the formed product is a pure phase of ZnO NPs. Increased antibacterial activity was noted for AV-ZnO, AI-ZnO, and AD-ZnO against gram-negative (Klebsiella pneumonia, Shigella dysenteriae), gram positive (Staphylococcus aureus, and Bacillus) bacterial strain. 2022, The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature. Creator An entity primarily responsible for making the resource Almarhoon Z.M.; Indumathi T.; Kumar E.R. Source A related resource from which the described resource is derived Journal of Materials Science: Materials in Electronics, Vol-33, No. 30, pp. 23659-23672. 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/s10854-022-09125-5" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/s10854-022-09125-5</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85138707241&doi=10.1007%2Fs10854-022-09125-5&partnerID=40&md5=ddcbefb4304df147756b0f1619d613f0" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85138707241&doi=10.1007%2fs10854-022-09125-5&partnerID=40&md5=ddcbefb4304df147756b0f1619d613f0</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 9574522 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 Almarhoon Z.M., Department of Chemistry, College of Science, King Saud University, P.O. Box 2455, Riyadh, 11451, Saudi Arabia; Indumathi T., Department of Chemistry, CHRIST (Deemed to Be University), Karnataka, Bangalore, 560029, India; Kumar E.R., Department of Physics, KPR Institute of Engineering and Technology, Tamil Nadu, Coimbatore, 641407, India https://archives.christuniversity.in/files/original/3726fd03d7cf5f77c84eb9b358b4e0a0.pdf 56161d63c95bb03c16f49350be8a000c 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 MPHIL Mphil Mphil Thesis 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 Optimized Handoff Strategy for Vehicular Ad-hoc Network based Communication Creator An entity primarily responsible for making the resource Libin Thomas Date A point or period of time associated with an event in the lifecycle of the resource 2019 Source A related resource from which the described resource is derived Computer Science Description An account of the resource The dissertation titled ???Optimized Handoff Strategy for Vehicular Ad-hoc Network based Communication??? is the compilation of all efforts taken and tasks completed in order to implement an optimal handoff method in Vehicular Ad-hoc Network communication.Wireless communication technologies have been improving exponentially. Ad-hoc networks can form a network of wireless nodes anywhere and they are not bound by the limitations of a static infrastructure. This enhances the ability of mobile nodes to communicate with each other even in situations where a defined architecture is absent. Vehicular Ad-hoc Networks (VANETs) has its applications in dynamic environments that involve nodes with high mobility. The nodes frequently move between the coverage areas of different access points. This increases the chance of link breakage and new link formation in communication network. Handoff is a process that helps in transferring the session details between one access point to another whenever the node is about to move away from a currently serving access point. Many handoff methods have been proposed but a majority of them utilize just a particular attribute of a network to employ the channel selection process. This process of network selection would be skewed as other attributes of a network play important roles in improving its overall efficiency. Multiple Attributes Decision Making (MADM) methods make use of different attributes in order to perform the network selection process. Use of MADM methods help in selecting optimal access points that can provide services to the nodes for a longer duration. In the proposed system, MADM methods have been utilized to modify existing protocols in order to optimize their approach for handoff operations. Various scenarios involving vehicular nodes and different access points have been considered in order to improve the efficiency of the proposed system across applications. The proposed handoff mechanism follows a proactive approach where the target access points are selected before the mobile node reaches the edge of its coverage area. This leads to a seamless transition of the communication channels. Based on the client/access point information stored in the data log, optimal access points which are situated along the direction of the node???s movement can be selected. NS2 and SUMO have been implemented to simulate mobile environments that accommodate handoff operations. 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 Optimized handwritten character recognition using artificial neural network Subject The topic of the resource Artificial Neural Network; Binarization; Character recognition; Image processing; Kurtosis; Pattern recognition; Segmentation; Skeletonization; Skewness Description An account of the resource Handwritten character recognition (HCR) plays important role in the modern world and is one of the focused area of research in the field of image processing and pattern recognition. Handwritten character recognition refers to the process of conversion of hand-written character into printed/word file character which can immensely improve the interface between man and machine in numerous application. It is difficult to process with great variations in writing styles, different size and orientation angle of the character that are existing. Also segmentation of cursive handwritten text is difficult as the edges cant be detected easily. There are numerous approaches to recognize handwritten data. The images are acquired using a digital camera or scanner and stored in standard format like JPG, PNG etc. The second stages include pre-processing techniques like Binarization, Skeletonization, thinning, resizing the image and segmentation. In our work we mainly concentrated on extracting statistical features of alphabets like mean, variance, standard deviation, Skewness and kurtosis, which differentiates a character from another. We used feed forward algorithm to train Artificial Neural Network (ANN). The features of input character after pre-processing are fed into ANN. A database of 650 samples is created to test input samples for recognition of character by neural net-work. The Experimental results that we have achieved show 88.46 % accuracy rate with minimum time taken for training. IJSTR 2020. Creator An entity primarily responsible for making the resource Varma M.P.; Hore S.J.; Uday C.; Omnath Reddy S.; Pillai V.J. Source A related resource from which the described resource is derived International Journal of Scientific and Technology Research, Vol-9, No. 1, pp. 4442-4445. Publisher An entity responsible for making the resource available International Journal of Scientific and Technology Research 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="" target="_blank" rel="noreferrer noopener"></a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85081207796&partnerID=40&md5=87678d8ea8fe275241e7c00936b5a2b9" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85081207796&partnerID=40&md5=87678d8ea8fe275241e7c00936b5a2b9</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 22778616 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 Varma M.P.; Hore S.J.; Uday C.; Omnath Reddy S.; Pillai V.J., 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 Optimized heat transport in Marangoni boundary layer flow of a magneto nanomaterial driven by an exponential interfacial temperature distribution Description An account of the resource In a small boundary layer of the fluid interface, the temperature distribution deviates from being linear with the spatial coordinate and exhibits an exponential form. Hence, the Marangoni convective flow of a nanoliquid driven by an exponential interfacial temperature distribution is modeled in this study. Due to practical applicability, the working fluid is chosen to be ethylene glycol-based magnesium oxide nanoliquid, which is modeled using experimentally estimated properties. In the system, the external effects of an inclined magnetism, thermal radiation, and an internal heat source are considered. Heat transport is rigorously analyzed using an empirical model, which is estimated using the robust response surface methodology (RSM) to find the optimal working conditions and to estimate the sensitivity. The modeled problem is simulated numerically using the finite difference-based scheme and a parametric analysis is conducted to study the effect of magnetic field, inclination of magnetic field, radiation, and internal heat source parameters. The internal heat generation (increase of 0.94%) factor dominates the augmentation in the thermal field but at some distance, the thermal radiation factor has a predominant impact (58.99%). The inclination angle of the magnetic field has a prominent decremental impact on the velocity profile. Also, the radiative heat flux enhances the temperature profile. Optimal working conditions are estimated to be with a magnetic inclination of 10 and using a liquid with 0.25% volume fraction of 100 nm. This study finds applicability in crystal growth, drying silicon wafers, and heat exchangers. 2022 Wiley-VCH GmbH. Creator An entity primarily responsible for making the resource Mackolil J.; Basavarajappa M. Source A related resource from which the described resource is derived ZAMM Zeitschrift fur Angewandte Mathematik und Mechanik, Vol-102, No. 11 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/zamm.202100485" target="_blank" rel="noreferrer noopener">https://doi.org/10.1002/zamm.202100485</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85136724448&doi=10.1002%2Fzamm.202100485&partnerID=40&md5=5914b63993152d1f59539dfd05fd8950" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85136724448&doi=10.1002%2fzamm.202100485&partnerID=40&md5=5914b63993152d1f59539dfd05fd8950</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 442267 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 Mackolil J., Centre for Mathematical Needs, Department of Mathematics, CHRIST (Deemed to be University), Bengaluru, India; Basavarajappa M., Centre for Mathematical Needs, Department of Mathematics, CHRIST (Deemed to be University), Bengaluru, India, School of Mathematical and Statistical Sciences, The University of Texas Rio Grande Valley, Edinburg, 78539, TX, United States 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 Optimized Load Balancing Technique for Software Defined Network Subject The topic of the resource Load balancing; Performance enhancement; SDN; Software-defined networks Description An account of the resource Software-defined networking is one of the progressive and prominent innovations in Information and Communications Technology. It mitigates the issues that our conventional network was experiencing. However, traffic data generated by various applications is increasing day by day. In addition, as an organization's digital transformation is accelerated, the amount of information to be processed inside the organization has increased explosively. It might be possible that a Software-Defined Network becomes a bottleneck and unavailable. Various models have been proposed in the literature to balance the load. However, most of the works consider only limited parameters and do not consider controller and transmission media loads. These loads also contribute to decreasing the performance of Software- Defined Networks. This work illustrates how a software-defined network can tackle the load at its software layer and give excellent results to distribute the load. We proposed a deep learning-dependent convolutional neural networkbased load balancing technique to handle a software-defined network load. The simulation results show that the proposed model requires fewer resources as compared to existing machine learning-based load balancing techniques. 2022 Tech Science Press. All rights reserved. Creator An entity primarily responsible for making the resource Kumar A.; Anand D.; Jha S.; Joshi G.P.; Cho W. Source A related resource from which the described resource is derived Computers, Materials and Continua, Vol-72, No. 1, pp. 1409-1426. Publisher An entity responsible for making the resource available Tech Science 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/10.32604/cmc.2022.024970" target="_blank" rel="noreferrer noopener">https://doi.org/10.32604/cmc.2022.024970</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85125396053&doi=10.32604%2Fcmc.2022.024970&partnerID=40&md5=60ee45072d752c9abab13d3295995767" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85125396053&doi=10.32604%2fcmc.2022.024970&partnerID=40&md5=60ee45072d752c9abab13d3295995767</a> Rights Information about rights held in and over the resource All Open Access; Gold Open Access Relation A related resource ISSN: 15462218 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 Kumar A., Department of Computer Science and Engineering, Chandigarh University, Punjab, Mohali, 140413, India; Anand D., Department of Computer Science and Engineering, Chandigarh University, Punjab, Mohali, 140413, India; Jha S., School of Computational Sciences, CHRIST (Deemed to be University), Ghaziabad, 201003, India; Joshi G.P., Department of Computer Science and Engineering, Sejong University, Seoul, 05006, South Korea; Cho W., Department of Automotive ICT Convergence Engineering, Daegu Catholic University, Gyeongsan, 38430, 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 Optimized Metamaterial Loaded Square Fractal Antenna for Gain and Bandwidth Enhancement Description An account of the resource This paper presents a report on the enhanced performance of an optimized metamaterial loaded square fractal antenna (OMSFA). The design and simulation of the antenna was carried out using Electronic Desk Top HFSS version 18.2 software. The antenna layer spreads over an area of 23 square millimeter on a FR4 substrate whose dielectric permittivity is 4.4. The substrate size measures an area of 46 mm X 28 mm, with 1.6 mm thickness. Also the design includes a microstrip feed and truncated ground. The antenna resonates well with a deep return loss of-38.9 dB in a broad bandwidth of 3.2 GHz (128 %) between 2 GHz and 5.2 GHz. The OMSFA produces enhanced gain of 9.8 dB at 2.5 GHz. The radiation is more focused due to the effect of metamaterial loading. The proposed antenna is recommended for wireless application in the lower region (S band) of the microwave spectrum. 2018 IEEE. Creator An entity primarily responsible for making the resource Suganthi S. Source A related resource from which the described resource is derived 2018 12th International Congress on Artificial Materials for Novel Wave Phenomena, METAMATERIALS 2018, pp. 349-351. 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 2018-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/MetaMaterials.2018.8534154" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/MetaMaterials.2018.8534154</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85058561054&doi=10.1109%2FMetaMaterials.2018.8534154&partnerID=40&md5=0d2398be006819d654f40b61b1711ded" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85058561054&doi=10.1109%2fMetaMaterials.2018.8534154&partnerID=40&md5=0d2398be006819d654f40b61b1711ded</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 978-153864702-8 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 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 Suganthi S., ECE Department, 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 Optimized Multi-Scale Attention Convolutional Neural Network for Micro-Grid Energy Management System Employing in Internet of Things Subject The topic of the resource convolutional neural network; ensemble Kalman filter; fault detection; internet of things; microgrid energy management; sheep flock optimization Description An account of the resource The combination of micro-grid energy management systems (EMSs) with the Internet of Things (IoT) offers a promising way to improve energy use and distribution. However, challenges such as device compatibility and the difficulty of managing energy efficiently make it hard to implement these systems effectively. This study offers a significant advancement in energy management by using IoT for microgrid systems. An Optimized Multi-scale Attention Convolutional Neural Network for microgrid EMS employing IoT (OMACNN-MGEMS-IoT) is proposed in this study, which enables efficient monitoring and control of energy resources. The proposed model's input data are gathered from the MQTT dataset. This research employs a Regularized Bias-aware Ensemble Kalman Filter (RBAEKF) for pre-processing input data, ensuring the removal of outliers and updating missing values. The MACNN is then used for effective fault detection within the microgrid. To enhance its performance, the Sheep Flock Optimization Algorithm (SFOA) is introduced to optimize the MACNN parameters, ensuring accurate fault detection. Implemented on the MATLAB platform, the performance of the OMACNN-MGEMS-IoT method is assessed through various performance metrics, demonstrating significant improvements. Notably, the proposed method achieves higher cost reductions of 25%, 22%, and 26% compared to existing approaches such as the IoT platform for energy management in multi-micro grid systems (IoT-PEM-MMS), a micro-grid system infrastructure implementing IoT for efficient energy management in buildings (MSII-IoT-EEM) and a hybrid deep learning-based online energy management scheme for industrial microgrids (HDL-OEM-IM). The findings highlight the impact of the proposed OMACNN-MGEMS-IoT method in enhancing energy efficiency and cost-effectiveness in microgrid systems. 2025 John Wiley & Sons Ltd. Creator An entity primarily responsible for making the resource Vetriveeran D.; Sambandam R.K.; Sekar T.; Venkatachalam A. Source A related resource from which the described resource is derived Optimal Control Applications and Methods Publisher An entity responsible for making the resource available John Wiley and Sons Ltd 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/10.1002/oca.3253" target="_blank" rel="noreferrer noopener">https://doi.org/10.1002/oca.3253</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85216361861&doi=10.1002%2Foca.3253&partnerID=40&md5=f50fb57b9643bc5db1bb8f0ef59ab081" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85216361861&doi=10.1002%2foca.3253&partnerID=40&md5=f50fb57b9643bc5db1bb8f0ef59ab081</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 1432087; CODEN: OCAMD 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 Vetriveeran D., Department of Computer Science and Engineering, Christ University, Bangalore, India; Sambandam R.K., Department of Computer Science and Engineering, Christ University, Bangalore, India; Sekar T., Department of Computer Science and Engineering, Bharath Institute of Higher Education and Research, Chennai, India; Venkatachalam A., Department of Computer Science and Engineering, Christ 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 Optimized production of keratinolytic proteases from Bacillus tropicus LS27 and its application as a sustainable alternative for dehairing, destaining and metal recovery Subject The topic of the resource Bacillus tropicus; Dehairing; Destaining; Keratinase; Metal recovery; Optimization; Protease Description An account of the resource The present study describes the isolation and characterization of Bacillus tropicus LS27 capable of keratinolytic protease production from Russell Market, Shivajinagar, Bangalore, Karnataka, with its diverse application. The ability of this strain to hydrolyze chicken feathers and skim milk was used to assess its keratinolytic and proteolytic properties. The strain identification was done using biochemical and molecular characterization using the 16S rRNA sequencing method. Further a sequential and systematic optimization of the factors affecting the keratinase production was done by initially sorting out the most influential factors (NaCl concentration, pH, inoculum level and incubation period in this study) through one factor at a time approach followed by central composite design based response surface methodology to enhance the keratinase production. Under optimized levels of NaCl (0.55 g/L), pH (7.35), inoculum level (5%) and incubation period (84 h), the keratinase production was enhanced from 41.62 U/mL to 401.67 9.23 U/mL (9.65 fold increase) that corresponds to a feather degradation of 32.67 1.36% was achieved. With regard to the cost effectiveness of application studies, the crude enzyme extracted from the optimized medium was tested for its potential dehairing, destaining and metal recovery properties. Complete dehairing was achieved within 48 h of treatment with crude enzyme without any visible damage to the collagen layer of goat skin. In destaining studies, combination of crude enzyme and detergent solution [1 mL detergent solution (5 mg/mL) and 1 mL crude enzyme] was found to be most effective in removing blood stains from cotton cloth. Silver recovery from used X-ray films was achieved within 6 min of treatment with crude enzyme maintained at 40 C. 2023 Elsevier Inc. Creator An entity primarily responsible for making the resource Liya S.M.; Umesh M.; Nag A.; Chinnathambi A.; Alharbi S.A.; Jhanani G.K.; Shanmugam S.; Brindhadevi K. Source A related resource from which the described resource is derived Environmental Research, Vol-221 Publisher An entity responsible for making the resource available Academic Press 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/10.1016/j.envres.2023.115283" target="_blank" rel="noreferrer noopener">https://doi.org/10.1016/j.envres.2023.115283</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85146445028&doi=10.1016%2Fj.envres.2023.115283&partnerID=40&md5=62e555f71d486d4ce092b92bc30f1894" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85146445028&doi=10.1016%2fj.envres.2023.115283&partnerID=40&md5=62e555f71d486d4ce092b92bc30f1894</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 139351; PubMed ID: 36639016; CODEN: ENVRA 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 Liya S.M., Department of Life Sciences, CHRIST (Deemed to be University), Karnataka, Bangalore, India; Umesh M., Department of Life Sciences, CHRIST (Deemed to be University), Karnataka, Bangalore, India; Nag A., Department of Life Sciences, CHRIST (Deemed to be University), Karnataka, Bangalore, India; Chinnathambi A., Department of Botany and Microbiology, College of Science, King Saud University, PO Box -2455, Riyadh, 11451, Saudi Arabia; Alharbi S.A., Department of Botany and Microbiology, College of Science, King Saud University, PO Box -2455, Riyadh, 11451, Saudi Arabia; Jhanani G.K., Center for Transdisciplinary Research (CFTR), Department of Pharmacology, Saveetha Dental College, Saveetha Institute of Medical and Technical Sciences, Saveetha University, Chennai, India; Shanmugam S., Chair of Biosystems Engineering, Institute of Forestry and Engineering, Estonian University of Life Sciences, Kreutzwaldi 56, Tartu, 51014, Estonia; Brindhadevi K., University Centre for Research & Development, Department of Chemistry, Chandigarh University, Mohali, India https://archives.christuniversity.in/files/original/dcd7647d4df1371e064c6332338311cb.png ae8597b1fb62da5294ca14f6fc0ece85 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 Patents Subject The topic of the resource Patent Description An account of the resource Patent Patent Patents 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 Optimized score card for mentoring student using artificial intelligence and methods thereof / Subject The topic of the resource Electronics Description An account of the resource Patent Number: 202011040658, Applicant: Dr Priti Verma. The invention discloses a mentoring system capable of improving student™s performance in the field of Learning in Theoretical, practical, behavioral, sports, cultural activities and life skills for the betterment of the life of an individual. Creator An entity primarily responsible for making the resource Kulkarni, Praveen. Source A related resource from which the described resource is derived <a href="https://drive.google.com/file/d/188CKav3CBXkW7A3Eyj-sdVVjFY9D4Nff/view" target="_blank" title="Optimized score card for mentoring student using artificial intelligence and methods thereof /" rel="noreferrer noopener">https://drive.google.com/file/d/188CKav3CBXkW7A3Eyj-sdVVjFY9D4Nff/view</a> Publisher An entity responsible for making the resource available Intellectual Property India Date A point or period of time associated with an event in the lifecycle of the resource 2020-03-18 Language A language of the resource English Type The nature or genre of the resource Patent https://archives.christuniversity.in/files/original/73ebfcb0968a4038f9fc0bb5fd18e64b.png ae8597b1fb62da5294ca14f6fc0ece85 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 Patents Subject The topic of the resource Patent Description An account of the resource Patent Patent Patents 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 Optimized score card for mentoring students using artificial intelligence and methods thereof / Subject The topic of the resource Electronics Description An account of the resource Patent Number: 202011040658, Applicant: Dr Priti Verma. The invention discloses a mentoring system capable of improving student's performance in the field of Learning in Theoretical, practical, behavioral, sports, cultural activities and life skills for the betterment of the life of an individual. The feedback system has the capability of generating feedback with better accuracy and hence easily identifying the areas of weaknesses and strengths of the students. Creator An entity primarily responsible for making the resource V R, Gurudas. Source A related resource from which the described resource is derived <a href="https://drive.google.com/file/d/1G6mZruXpxjHlsAYVZSmvIbvMMVZFWcHz/view" target="_blank" title="Optimized score card for mentoring students using artificial intelligence and methods thereof /" rel="noreferrer noopener">https://drive.google.com/file/d/1G6mZruXpxjHlsAYVZSmvIbvMMVZFWcHz/view</a> Publisher An entity responsible for making the resource available Intellectual Property India Date A point or period of time associated with an event in the lifecycle of the resource 2020-03-18 Language A language of the resource English Type The nature or genre of the resource Patent 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 Optimized task group aggregation-based overflow handling on fog computing environment using neural computing Subject The topic of the resource ABC; Fog computing; Neural computing and ANN; Overflow handling; Resource scheduling; TGA; Virtual machines Description An account of the resource It is a non-deterministic challenge on a fog computing network to schedule resources or jobs in a manner that increases device efficacy and throughput, diminishes reply period, and maintains the system well-adjusted. Using Machine Learning as a component of neural computing, we developed an improved Task Group Aggregation (TGA) overflow handling system for fog computing environments. As a result of TGA usage in conjunction with an Artificial Neural Network (ANN), we may assess the models QoS characteristics to detect an overloaded server and then move the models data to virtual machines (VMs). Overloaded and underloaded virtual machines will be balanced according to parameters, such as CPU, memory, and bandwidth to control fog computing overflow concerns with the help of ANN and the machine learning concept. Additionally, the Artificial Bee Colony (ABC) algorithm, which is a neural computing system, is employed as an optimization technique to separate the services and users depending on their individual qualities. The response time and success rate were both enhanced using the newly proposed optimized ANN-based TGA algorithm. Compared to the present works minimal reaction time, the total improvement in average success rate is about 3.6189 percent, and Resource Scheduling Efficiency has improved by 3.9832 percent. In terms of virtual machine efficiency for resource scheduling, average success rate, average task completion success rate, and virtual machine response time are improved. The proposed TGA-based overflow handling on a fog computing domain enhances response time compared to the current approaches. Fog computing, for example, demonstrates how artificial intelligence-based systems can be made more efficient. 2021 by the authors. Licensee MDPI, Basel, Switzerland. Creator An entity primarily responsible for making the resource Arri H.S.; Khosa R.S.; Jha S.; Prashar D.; Joshi G.P.; Doo I.C. Source A related resource from which the described resource is derived Mathematics, Vol-9, No. 19 Publisher An entity responsible for making the resource available MDPI 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/10.3390/math9192522" target="_blank" rel="noreferrer noopener">https://doi.org/10.3390/math9192522</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85116607183&doi=10.3390%2Fmath9192522&partnerID=40&md5=d392508c32f799bad2ed9bb8ef9f6a09" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85116607183&doi=10.3390%2fmath9192522&partnerID=40&md5=d392508c32f799bad2ed9bb8ef9f6a09</a> Rights Information about rights held in and over the resource All Open Access; Gold Open Access Relation A related resource ISSN: 22277390 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 Arri H.S., School of Computer Science and Engineering, Lovely Professional University, Phagwara, Punjab, 144411, India; Khosa R.S., School of Computer Science and Engineering, Lovely Professional University, Phagwara, Punjab, 144411, India; Jha S., School of Computational Sciences, CHRIST (Deemed to be University), Mariam Nagar, Meerut Road, Delhi NCR, Ghaziabad, 201003, India; Prashar D., School of Computer Science and Engineering, Lovely Professional University, Phagwara, Punjab, 144411, India; Joshi G.P., Department of Computer Science and Engineering, Sejong University, Gwangjin-gu, Seoul, 05006, South Korea; Doo I.C., Artificial Intelligence Education, Hankuk University of Foreign Studies, Dongdaemun-gu, Seoul, 02450, 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 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 Optimized Tree Strategy with Principal Component Analysis Using Feature Selection-Based Classification for Newborn Infant's Jaundice Symptoms Description An account of the resource One of the most important and difficult research fields is newborn jaundice grading. The mitotic count is an important component in determining the severity of newborn jaundice. The use of principal component analysis (PCA) feature selection and an optimal tree strategy classifier to produce automatic mitotic detection in histopathology images and grading is given. This study makes use of real-time and benchmark datasets, as well as specific approaches for detecting jaundice in newborn newborns. According to research, the quality of the feature may have a negative impact on categorization performance. Additionally, compressing the classification method for exclusive main properties can result in a classification performance bottleneck. As a result, identifying appropriate characteristics for training the classifier is required. By combining a feature selection method with a classification model, this is possible. The major outcomes of this study revealed that image processing techniques are critical for predicting neonatal hyperbilirubinemia. Image processing is a method of translating analogue images to digital formats and manipulating them. The primary goal of medical image processing is to collect information useful for disease detection, diagnosis, monitoring, and therapy. Image datasets can be used to validate the performance of newborn jaundice detection. When compared to conventional approaches, it offers results that are accurate, quick, and time efficient. Accuracy, sensitivity, and specificity, which are common performance indicators, were also predictive. 2021 Debabrata Samanta et al. Creator An entity primarily responsible for making the resource Samanta D.; Karthikeyan M.P.; Karuppiah M.; Parwani D.; Maheshwari M.; Shukla P.K.; Nuagah S.J. Source A related resource from which the described resource is derived Journal of Healthcare Engineering, Vol-2021 Publisher An entity responsible for making the resource available Hindawi Limited 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/10.1155/2021/9806011" target="_blank" rel="noreferrer noopener">https://doi.org/10.1155/2021/9806011</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85120910720&doi=10.1155%2F2021%2F9806011&partnerID=40&md5=ef464ebc78cb7723a732bfc72a7ae4f3" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85120910720&doi=10.1155%2f2021%2f9806011&partnerID=40&md5=ef464ebc78cb7723a732bfc72a7ae4f3</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: 20402295; PubMed ID: 34858565 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 Samanta D., Department of Computer Science, CHRIST Deemed to Be University, Bangalore, India; Karthikeyan M.P., Department of Computer Science, PPG College of Arts and Science, Coimbatore, India; Karuppiah M., Department of Computer Science and Engineering, SRM Institute of Science and Technology, Delhi-NCR Campus, Uttar Pradesh, Ghaziabad, 201204, India; Parwani D., Sant Hirdaram Girls College Bhopal, Madhya Pradesh, Bhopal, India; Maheshwari M., Department of Computer Application, MCNUJC, Madhya Pradesh, Bhopal, India; Shukla P.K., Computer Science and Engineering Department, University Institute of Technology Rajiv Gandhi Proudyogiki Vishwavidyalaya, Technological University of Madhya Pradesh, Bhopal, 462033, India; Nuagah S.J., Department of Electrical Engineering, Tamale Technical University, Tamale, Ghana 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 Optimized uplink scheduling model through novel feedback architecture for wimax network Subject The topic of the resource Feedback; MUS; QoE; Scheduling; Wi-MaX Description An account of the resource Broadband Wireless Access has drawn the fine attention due to the wide range of data requirement and user mobility all the time. Moreover, WiMAX provides the best QoE (Quality of Experience) which is based on the IEEE 802.16 standards; this includes several services such as data, video and audio. However, in order to provide the effective and smooth experience i.e. QoS scheduling plays one of the critical part. In past several mechanism has been proposed for effective scheduling however, through the research it is observed that it can be furthermore improvised hence in this we propose a mechanism named as OUS (Optimized Uplink Scheduling) which helps in improvising the QoS. In here, we have proposed a novel feedback architecture and proposed optimized scheduling which helps in computing the bandwidth request this in terms helps in reducing the delay as well as jitter. Moreover, the performance evaluation is performed through extensive simulation by varying the different SS and frequency and the results analysis confirms that our mechanism performs way better than the existing algorithm. BEIESP. Creator An entity primarily responsible for making the resource Mahesh D.S.; Chandramouli H.; Chitnis S.R. Source A related resource from which the described resource is derived International Journal of Innovative Technology and Exploring Engineering, Vol-9, No. 1, pp. 1353-1359. Publisher An entity responsible for making the resource available Blue Eyes Intelligence Engineering and Sciences Publication 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/10.35940/ijitee.L3835.119119" target="_blank" rel="noreferrer noopener">https://doi.org/10.35940/ijitee.L3835.119119</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85075146577&doi=10.35940%2Fijitee.L3835.119119&partnerID=40&md5=8a2ff4eaf9ea6538ef68671b7984273a" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85075146577&doi=10.35940%2fijitee.L3835.119119&partnerID=40&md5=8a2ff4eaf9ea6538ef68671b7984273a</a> Rights Information about rights held in and over the resource All Open Access; Gold Open Access Relation A related resource ISSN: 22783075 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 Mahesh D.S., Dept. of CSE, Faculty of Engineering, CHRIST (Deemed to be University), Bangalore, India; Chandramouli H., Dept. of CSE, East Point College of Engineering, Bangalore, India; Chitnis S.R., Dept. of CSE, Dayananda Sagar 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 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 Optimizing Antenna Structures for 60 GHz Systems Microstrip Patch vs Microstrip Slot Subject The topic of the resource 5G; microstrip patch antenna; millimeter wave frequency; slot antenna; V-band Description An account of the resource This paper conducts a thorough comparison between microstrip patch and microstrip slot antennas for 60 GHz wireless communication systems, excluding the meander line antenna. The design process involves meticulous selection of substrate material, antenna geometry, and feed mechanism to achieve a compact, efficient, and wideband antenna suitable for 60 GHz applications. Performance analysis, based on theoretical derivations and HFSS simulator simulations, covers key parameters like radiation pattern, gain, and bandwidth. Results demonstrate that the proposed microstrip antenna meets 60 GHz system requirements, indicating potential for further optimization. The study highlights the unique advantages and disadvantages of each antenna structure, emphasizing that selection should align with specific application needs. This comparative analysis aids researchers and engineers in making informed decisions regarding the most suitable antenna structure for their 60 GHz wireless communication requirements. 2024 IEEE. Creator An entity primarily responsible for making the resource Raj C.; Suganthi S. Source A related resource from which the described resource is derived 2024 1st International Conference on Trends in Engineering Systems and Technologies, ICTEST 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/ICTEST60614.2024.10576195" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ICTEST60614.2024.10576195</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85198367801&doi=10.1109%2FICTEST60614.2024.10576195&partnerID=40&md5=9127874e4715ba927a308f1941bbb339" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85198367801&doi=10.1109%2fICTEST60614.2024.10576195&partnerID=40&md5=9127874e4715ba927a308f1941bbb339</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 979-835030779-5 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 Raj C., Christ (Deemed to Be University), Department of Ece, Karnataka, India; Suganthi S., Christ (Deemed to Be University), Department of Ece, 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 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 Optimizing Drug Discovery for Breast Cancer in a Laboratory Environment Using Machine Learning Subject The topic of the resource Breast cancer; Deep Learning; Drug discovery; Machine learning models; Personalized medicine Description An account of the resource Breast cancer therapy can be greatly enhanced by the proposed method that combines experimental and computational techniques. Employing a state-of-the-art in vitro system, we evaluated biopsy tissues at different cancer stages, monitoring them for 48 hours. Later on, our investigation involved the application of machine learning models including nae Bayes (NB), artificial neural networks (ANN), random forest (RF), and decision trees (DT). Surprisingly, these models reached high test accuracies - ANN 93.2%, NB 90.4%, DT 87.8%, and RF 85.9%. The dataset's impedance dynamics data provide evidence for treatment efficacy. Therapeutic strategies need to be adjusted for particular patients and their stage of cancer since the results underscore the usefulness of personalized breast cancer therapy. This study will significantly contribute to new tailored treatment options available for breast cancer patients. 2024 IEEE. Creator An entity primarily responsible for making the resource Borkhade G.; Singh J.; Shelke N.A.; Upreti K.; Kuwar V.; Tiwar M. Source A related resource from which the described resource is derived 2024 International Conference on Wireless Communications, Signal Processing and Networking, WiSPNET 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/WiSPNET61464.2024.10532839" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/WiSPNET61464.2024.10532839</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85195136393&doi=10.1109%2FWiSPNET61464.2024.10532839&partnerID=40&md5=7bfe1a2451e5da729c370d3340bde84c" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85195136393&doi=10.1109%2fWiSPNET61464.2024.10532839&partnerID=40&md5=7bfe1a2451e5da729c370d3340bde84c</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 979-835035084-5 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 Borkhade G., Bharati Vidyapeeth College of Engineering, Navi Mumbai, India; Singh J., Alliance School of Advanced Computing, Alliance University, Bangalore, India; Shelke N.A., School of Computer Science Engineering and Technology, Bennett University, Greater Noida, India; Upreti K., CHRIST (Deemed to Be University), Delhi-NCR, Department of Computer Science, Ghaziabad, India; Kuwar V., Dr. D y Patil Vidyapeeth, Centre for Online Learning, Pune, India; Tiwar M., Bharati Vidyapeeth's College of Engineering, Computer Science and Engineering, 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 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 Optimizing energy consumption in wireless sensor networks using python libraries Description An account of the resource Wireless sensor networks (WSNs) are widely utilized in various fields, including environmental monitoring, healthcare, and industrial automation. Optimizing energy consumption is one of the most challenging aspects of WSNs due to the limited capacity of the batteries that power the sensors. This chapter explores using Python libraries to optimize the energy consumption of WSNs. In WSNs, various nodes, including sensor, relay, and sink nodes, are introduced. How Python libraries such as NumPy, Pandas, Scikit-Learn, and Matplotlib can be used to optimize energy consumption is discussed. Techniques for optimizing energy consumption, such as data aggregation, duty cycling, and power management, are also presented. By employing these techniques and Python libraries, the energy consumption of WSNs can be drastically decreased, thereby extending battery life and boosting performance. 2023, IGI Global. All rights reserved. Creator An entity primarily responsible for making the resource Jose J.; Arulkumar N. Source A related resource from which the described resource is derived Advanced Applications of Python Data Structures and Algorithms, pp. 222-235. 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/10.4018/978-1-6684-7100-5.ch011" target="_blank" rel="noreferrer noopener">https://doi.org/10.4018/978-1-6684-7100-5.ch011</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85167771217&doi=10.4018%2F978-1-6684-7100-5.ch011&partnerID=40&md5=8d3d546b6a35dc15781d0acd88bf7c27" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85167771217&doi=10.4018%2f978-1-6684-7100-5.ch011&partnerID=40&md5=8d3d546b6a35dc15781d0acd88bf7c27</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 978-166847102-9; 978-166847100-5 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 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 Jose J., CHRIST University (Deemed), India; Arulkumar N., CHRIST University (Deemed), India