202 20 16481 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 Comparison of Affine and DCGAN-based Data Augmentation Techniques for Chest X-Ray Classification Subject The topic of the resource Affine; Data Augmentation; Deep Learning; Generative adversarial networks (GANs); Medical Domain Description An account of the resource Data augmentation, also called implicit regularization, is one of the popular strategies to improve the generalization capability of deep neural networks. It is crucial in situations where there is a scarcity of high-quality ground-truth data. Also getting new samples is expensive and time consuming. This is a typical issue in the medical domain. Therefore, this study compares the performance of Affine and Generative Adversarial Networks (GAN)- based data augmentation techniques on the chest image X-Ray dataset. The Pneumonia dataset contains 5863 chest X-Ray images. The traditional Affine data augmentation technique is applied as a pre-processing technique to various deep learning-based CNN models like VGG16, Inception V3, InceptionResNetV2, DenseNet-169 and DenseNet-202 to compare their performance. On the other hand, DCGAN architecture is applied to the dataset for augmentation. Evaluation measures like accuracy, recall and AUC depict that DCGAN outperforms other traditional models. The most important advantage of DCGAN is that it is able to identify fake images with 100% accuracy. This is especially relevant for the medical domain as it deals with the life of individuals. Thus, it can be concluded that DCGAN has better performance as compared to affine transformations applied to traditional CNN models. 2023 The Authors. Published by Elsevier B.V. Creator An entity primarily responsible for making the resource Bali M.; Mahara T. Source A related resource from which the described resource is derived Procedia Computer Science, Vol-218, pp. 283-290. 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 2022-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1016/j.procs.2023.01.010" target="_blank" rel="noreferrer noopener">https://doi.org/10.1016/j.procs.2023.01.010</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85163729526&doi=10.1016%2Fj.procs.2023.01.010&partnerID=40&md5=7e8b38ba8634fd2cec389ff5d8a16fb8" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85163729526&doi=10.1016%2fj.procs.2023.01.010&partnerID=40&md5=7e8b38ba8634fd2cec389ff5d8a16fb8</a> Rights Information about rights held in and over the resource All Open Access; Gold Open Access Relation A related resource ISSN: 18770509 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 Bali M., SBM, Christ University, Bangalore, 560029, India; Mahara T., SBM, Christ 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 Comparison of Augmentation and Preprocessing Techniques for Improved Generalization Performance in Deep Learning based Chest X-Ray Classification Subject The topic of the resource Augmentation; CNN; ResNet; Transfer Learning; X Ray Description An account of the resource Convolutional Neural Network (CNN) models are well known for image classification; however, the downside of CNN is the ineffectiveness to generalize and inclination towards over-fitting in case of a small train dataset. A balanced and sufficient data is thus essential to effectively train a CNN model, but this is not always possible, especially in the case of medical imaging data, as often patients with the same disease are not always available. Image augmentation addresses the given issue by creating new data points artificially with slight modifications. This study, investigates ten different methods with various parameters and probability and their combined effect on the test dataset's generalization performance and F1 Score. For the study, three pre-Trained CNN models, namely ResNetl8, ResNet34, and ResNet50, are fine tuned on a small training dataset of 500 Pneumonia and 160 Non-Pneumonia(Normal) Images for each augmentation setting. The test accuracy, F1 Score, and generalization performance were calculated for a test dataset consisting of 50 Pneumonia and 16 Non-Pneumonia(Normal) Images. 2022 IEEE. Creator An entity primarily responsible for making the resource Prakash S.; Ramamurthy B. Source A related resource from which the described resource is derived 2022 International Conference on Trends in Quantum Computing and Emerging Business Technologies, TQCEBT 2022 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 2022-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/TQCEBT54229.2022.10041560" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/TQCEBT54229.2022.10041560</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85149184914&doi=10.1109%2FTQCEBT54229.2022.10041560&partnerID=40&md5=bb6f44f7217424455a2969c4e6eb131c" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85149184914&doi=10.1109%2fTQCEBT54229.2022.10041560&partnerID=40&md5=bb6f44f7217424455a2969c4e6eb131c</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 978-166545361-5 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 Prakash S., CHRIST (Deemed to Be University), Computer Science Department, Bengaluru, India; Ramamurthy B., CHRIST (Deemed to Be University), Computer Science Department, 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 Faculty Publications 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/. Creator An entity primarily responsible for making the resource Upadhye, Truptee; Nanjundan, Preethi Title A name given to the resource Comparison of Convergence Rates in Federated Learning and Federated Multi-Task Learning Using the CIFAR-10 Dataset Date A point or period of time associated with an event in the lifecycle of the resource 01-01-2025 Source A related resource from which the described resource is derived IEEE International Conference on "Computational, Communication and Information Technology", ICCCIT 2025;pp.370-375 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/ICCCIT62592.2025.10928151" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ICCCIT62592.2025.10928151</a> <a href="https://www.scopus.com/pages/publications/105002257005?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105002257005?origin=resultslist</a> Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Upadhye T., CHRIST University, Department of Data Science, Bangalore, India; Nanjundan P., CHRIST University, Department of Data Science, Bangalore, India Description An account of the resource Many smart or cell phones have built-in distance, signal, and air pollution sensors. While collecting information, an acceleration registering device is a three-dimensional one and it can be applied in the gait analysis to address issues such as falls and health status determination. Indeed, the data is abundance in terms of quantity and some of the data may be of great concern in terms of privacy. In the time of Industry 4.0 the data has emerged as a key resource. Personal information/identity must not be maintained and hence cannot be stored at one place or all collected in a single place. AI models are moving to decentralized where a machine learning setting called Federated learning (FL) is being applied. FL has adversities such as statistical and systems heterogeneity. Actually, to better use shared information and build local models, Federated Multi-task learning (FMTL) has been devised. We also compare the number of iterations required to converge using CIFAR dataset of FL and FMTL. Several graphs illustrated in this paper show that convergence rates depend on the algorithm, number of communication rounds and number of clients or devices. Thus, it is clear that in some cases FL outperforms with FMTL in terms of convergence or conversely. However, it cannot be deduced that the type of FMTL always converges better than FL. The reliance on this graph is evident in this paper in order to as explain as prove the fact that, as the number of clients in FL rises, the rate of convergence declines. If ten communication rounds are employed with the use of the MOCHA algorithm, the model does not converge appropriately. The RMSE score declined from 1.14 to 1.02 throughout 20 epochs. 2025 IEEE. Subject The topic of the resource convergence; data center; Federated Learning; Federated Multitask Learning; localized model; shared model; statistical challenges Publisher An entity responsible for making the resource available Institute of Electrical and Electronics Engineers Inc. Relation A related resource ISBN: 979-833151296-5; Language A language of the resource English Type The nature or genre of the resource Conference paper Rights Information about rights held in and over the resource Restricted Access; Hardcopy may be available in the library 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 Comparison of cultivated Cordyceps militaris and wild Ophiocordyceps sinensis using high-performance thin-layer chromatography Subject The topic of the resource Adenosine; Cordycepin; Cordyceps militaris; High-performance thin-layer chromatography; Ophiocordyceps sinensis Description An account of the resource Cordyceps, a fungus from the Clavicipitaceae family, has long been utilised in traditional Chinese medicine as a rare and prized mushroom. Among 750 known species, two noteworthy species within the genus are Ophiocordyceps sinensis and Cordyceps militaris. Among the active components generated by this genus, cordycepin and adenosine are particularly significant and exhibit various pharmacological properties. To evaluate and compare the concentrations of cordycepin and adenosine, high-performance thin-layer chromatography profiling was employed on lab-grown C. militaris and wild O. sinensis. Water and ethanol were utilised to extract the nucleosides. The concentrations of these nucleosides from different samples were calculated by using Rf (Retention factor) values of both cordycepin and adenosine standards. Interestingly, the fruiting bodies of C. militaris obtained through solid-state fermentation exhibited a higher cordycepin content (12.3 mg/g) compared to biomass obtained via liquid static culture. In the case of O. sinensis, cordycepin was found to be absent, with only adenosine (approximately 0.81 mg/g) being quantified. 2024 World Researchers Associations. All rights reserved. Creator An entity primarily responsible for making the resource Krishna K.V.; Alok M. Source A related resource from which the described resource is derived Research Journal of Biotechnology, Vol-19, No. 12, pp. 163-170. Publisher An entity responsible for making the resource available World Researchers Associations 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/10.25303/1912rjbt1630170" target="_blank" rel="noreferrer noopener">https://doi.org/10.25303/1912rjbt1630170</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85210747948&doi=10.25303%2F1912rjbt1630170&partnerID=40&md5=57c9211a3a7cafade3f8b3d40caef46e" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85210747948&doi=10.25303%2f1912rjbt1630170&partnerID=40&md5=57c9211a3a7cafade3f8b3d40caef46e</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 22784535 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 Krishna K.V., Applied and Industrial Biotechnology Laboratory, CHRIST (Deemed-to-be University), Hosur Road, Karnataka, Bangalore, India; Alok M., Applied and Industrial Biotechnology Laboratory, CHRIST (Deemed-to-be University), Hosur Road, Karnataka, Bangalore, India, Adjunct Faculty, Division of Life Sciences, Gyeongsang National University, 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 Comparison of DQ Method with I cos? Controller in Solar Power System Connected to Grid with EV Load Subject The topic of the resource Direct axis Quadrature axis method; Distributed Generation; Electric Vehicles; I cos ? controller; Photovoltaic Description An account of the resource Electric Vehicles and Photovoltaic power generation integrated to grid introduces power quality issues. Power quality issues during power integration needs improvement. Control of grid interfaced converters improves grid side power quality in integrated solutions. Power injection to the grid is controlled to get rid of power quality issues. Control techniques that can improve the power injection to the grid needs to be analyzed. This paper compares DQ and I cos ? controller while PV and EVs with non-linear loads are also connected in the power grid. Performance evaluation of both controllers are analyzed by comparing power injection to the grid. 2022 IEEE. Creator An entity primarily responsible for making the resource Harish B.N.; Surendra U. Source A related resource from which the described resource is derived IEEE International Conference on Distributed Computing and Electrical Circuits and Electronics, ICDCECE 2022 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 2022-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/ICDCECE53908.2022.9792847" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ICDCECE53908.2022.9792847</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85133418576&doi=10.1109%2FICDCECE53908.2022.9792847&partnerID=40&md5=a5d5b206f783ffb70ef543fe494d2775" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85133418576&doi=10.1109%2fICDCECE53908.2022.9792847&partnerID=40&md5=a5d5b206f783ffb70ef543fe494d2775</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 978-166548316-2 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Conference paper Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Harish B.N., School of Engineering and Technology, Christ (Deemed to Be University), Department of Electrical and Electronics Engineering, Bangalore, India; Surendra U., School of Engineering and Technology, Christ (Deemed to Be University), Department of Electrical and Electronics Engineering, 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 Comparison of Full Training and Transfer Learning in Deep Learning for Image Classification Subject The topic of the resource Deep learning; Full training; Image classification; Transfer learning Description An account of the resource The deep learning algorithms on a small dataset are often not efficient for image classification problems. Make use of the features learned by a model trained on large similar dataset and saved for future reference is a method to solve this problem. In this work, we present a comparison of full training and transfer learning for image classification using Deep Learning. Three different deep learning architectures namely MobileNetV2, InceptionV3 and VGG16 were used for this experiment. Transfer learning showed higher accuracy and less loss than full-training. According to transfer learning results, MobileNetV2 model achieved 98.96%, InceptionV3 model achieved 98.44% and VGG16 model achieved 97.405 as highest test accuracies. The full-trained models did not achieve as much accuracy as that of transfer learning models on the same dataset. The accuracies achieved by full-training for MobileNetV2, InceptionV3 and VGG16 are 79.08%, 73.44% and 75.62% respectively. 2021, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. Creator An entity primarily responsible for making the resource Cyriac S.; Raju N.; Ramaswamy S. Source A related resource from which the described resource is derived Lecture Notes in Networks and Systems, Vol-290, pp. 58-67. 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 2021-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1007/978-981-16-4486-3_6" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-981-16-4486-3_6</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85115096089&doi=10.1007%2F978-981-16-4486-3_6&partnerID=40&md5=bfde80a3a10871d099b82789ff794b09" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85115096089&doi=10.1007%2f978-981-16-4486-3_6&partnerID=40&md5=bfde80a3a10871d099b82789ff794b09</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 23673370; ISBN: 978-981164485-6 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 Cyriac S., Centre for Digital Innovation, CHRIST (Deemed To Be University), Bangalore, India; Raju N., Centre for Digital Innovation, CHRIST (Deemed To Be University), Bangalore, India; Ramaswamy S., Department of Computer Science, 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 Comparison of genetic algorithm with Particle Swarm Optimisation, ant colony optimisation and Tabu search based on university course scheduling system Subject The topic of the resource Ant colony optimisation; Genetic algorithm; Hard constraint; Particle Swarm Optimisation; Soft constraint; Tabu search Description An account of the resource Objectives: Planning and allocation of the various resources according to the constraints is a hilarious task. The paper aims to find a suitable method to solve the university course scheduling problem. Methods and Statistical Analysis: This paper compares the usage of Particle Swarm Optimisation (PSO), Ant Colony Optimisation (ACO), Tabu Search and Genetic Algorithm (GA) in the preparation of University Course Scheduling System. Certain hard constraints, which has to be satisfied and some soft constraints that can be satisfied are considered. Findings: The algorithm should check for the satisfaction of the hard constraints and the possibility of satisfying the soft constraints. Application/Improvements: The performance of the suitable method is found by comparing with the other methods based on various parameters. Creator An entity primarily responsible for making the resource Rohini V.; Natarajan A.M. Source A related resource from which the described resource is derived Indian Journal of Science and Technology, Vol-9, No. 21 Publisher An entity responsible for making the resource available Indian Society for Education and Environment Date A point or period of time associated with an event in the lifecycle of the resource 2016-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.17485/ijst/2016/v9i21/85379" target="_blank" rel="noreferrer noopener">https://doi.org/10.17485/ijst/2016/v9i21/85379</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-84976384871&doi=10.17485%2Fijst%2F2016%2Fv9i21%2F85379&partnerID=40&md5=b1e4435bad268c2f3cbceda3a8ed5a91" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-84976384871&doi=10.17485%2fijst%2f2016%2fv9i21%2f85379&partnerID=40&md5=b1e4435bad268c2f3cbceda3a8ed5a91</a> Rights Information about rights held in and over the resource All Open Access; Gold Open Access Relation A related resource ISSN: 9746846 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 Rohini V., Christ University, Hosur Road, Bangalore, Karnataka, 560029, India, Bannari Amman Institute of Technology, Alathukombai Post, Erode District, Sathyamangalam, Tamil Nadu, 638401, India; Natarajan A.M., Christ University, Hosur Road, Bangalore, Karnataka, 560029, India, Bannari Amman Institute of Technology, Alathukombai Post, Erode District, Sathyamangalam, Tamil Nadu, 638401, 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 Comparison of Gradient Boosting and Extreme Boosting Ensemble Methods for Webpage Classification Subject The topic of the resource Extreme Gradient Boosting; Gradient Tree Boosting; Web page classification; Web scraping Description An account of the resource Web page classification is an important task in various areas like web content filtering, contextual advertising and maintaining or expanding web directories etc. Machine Learning methods have been found to perform well to classify web pages, and ensemble models have been used to improve the results obtained from single classifiers. The Gradient Boosting and Extreme Boosting ensemble models are used in this work for binary classification. The dataset containing URLs of web pages have been collected manually. The comparison between the two boosting algorithms validated the improvement in accuracy and speed obtained through Extreme boosting. Extreme boosting has been found to be around ten times faster than Gradient boosting and also shows improvement in accuracy. The effect of three preprocessing techniques; lemmatization, stop words removal and regular expressions shows that these preprocessing techniques improves the accuracy of the results but not significantly. 2020 IEEE. Creator An entity primarily responsible for making the resource Dutta J.; Kim Y.W.; Dominic D. Source A related resource from which the described resource is derived Proceedings - 2020 5th International Conference on Research in Computational Intelligence and Communication Networks, ICRCICN 2020, pp. 77-82. 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 2020-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/ICRCICN50933.2020.9296176" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ICRCICN50933.2020.9296176</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85099206710&doi=10.1109%2FICRCICN50933.2020.9296176&partnerID=40&md5=b9e0ad5cb0c563be8a36598bd06647c9" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85099206710&doi=10.1109%2fICRCICN50933.2020.9296176&partnerID=40&md5=b9e0ad5cb0c563be8a36598bd06647c9</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 978-172818818-8 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 Dutta J., CHRIST (Deemed to Be University), Centre for Digital Innovation, Bangalore, India; Kim Y.W., CHRIST (Deemed to Be University), Centre for Digital Innovation, Bangalore, India; Dominic D., CHRIST (Deemed to Be University), Centre for Digital Innovation, 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 Comparison of HOG and fisherfaces based face recognition system using MATLAB Subject The topic of the resource Error-correcting output code (ECOC); Fisherface; Histogram of oriented gradients (HOG); Linear discriminant analysis (LDA); Principal component analysis (PCA) Description An account of the resource Face recognition and validation is not an easy task due to barriers in between like variation in pose, facial expressions and illumination. There are many algorithms available to build a face recognition system. One such popular method of approach is the Histogram of Oriented Gradients (HOG). It is a simple but effective algorithm. Even though it gives satisfactory results, it sometimes mismatches query image with irrelevant images, especially in poor lighting conditions. This paper presents a more accurate technique called Fisherfaces. It is a more reliable method for face recognition and validation. Fisherface algorithm is utilized primarily for reducing the dimensionality of the feature space. Fisherface method for image recognition involves a series of steps. Firstly, the face space dimension is reduced using Principal Component Analysis (PCA) method, then the Linear Discriminant Analysis (LDA) method is used for feature extraction. Fisherface method produced good results even under complex situations like varying illumination conditions and images with different poses and expressions which is a major drawback of HOG. Fisherface algorithm can reach a maximum accuracy of 96.87%. Error Correcting Output Code (ECOC) is the classifier used for both HOG and Fisherfaces. 2021 IEEE. Creator An entity primarily responsible for making the resource Megha Chandra Reddy N.V.; Kumar K. Source A related resource from which the described resource is derived 2021 2nd International Conference for Emerging Technology, INCET 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/INCET51464.2021.9456366" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/INCET51464.2021.9456366</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85113291655&doi=10.1109%2FINCET51464.2021.9456366&partnerID=40&md5=1468ab883f7f7adfcc70b175468dd2fd" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85113291655&doi=10.1109%2fINCET51464.2021.9456366&partnerID=40&md5=1468ab883f7f7adfcc70b175468dd2fd</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 978-172817029-9 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource 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 Megha Chandra Reddy N.V., Christ(Deemed to Be) University, Dept. of Electronics and Communication Engineering, Bangalore, India; Kumar K., Christ(Deemed to Be) University, Dept. of Electronics and Communication Engineering, 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 Comparison of Machine Learning Algorithms for Predicting Chronic Kidney Disease Subject The topic of the resource Chronic Kidney Disease; CKD classification; Machine learning algorithms; Random Forest; XGBoost Description An account of the resource Early detection and characterization of chronic renal disease are crucial to ensure that patients receive the best possible treatment. This study uses data mining techniques to uncover hidden information about patients. The outcomes of using the Random Forest, Multilayer Perceptron (MLP), Support Vector Machine (SVM), Decision Tree, XGBoost, LGBM Classifier, GaussianNB, KNeighbors Classifier, and XGBRF classifier have been compared. In our study, we demonstrate that Random Forest and XGBoost algorithms are more effective in classifying and predicting the severity level of chronic kidney disease 2022 IEEE. Creator An entity primarily responsible for making the resource James N.; Kaushik J. Source A related resource from which the described resource is derived 2022 2nd International Conference on Advance Computing and Innovative Technologies in Engineering, ICACITE 2022, pp. 1134-1139. 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 2022-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/ICACITE53722.2022.9823572" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ICACITE53722.2022.9823572</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85135454910&doi=10.1109%2FICACITE53722.2022.9823572&partnerID=40&md5=65ef5e0557bf4c52f52418742048c87b" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85135454910&doi=10.1109%2fICACITE53722.2022.9823572&partnerID=40&md5=65ef5e0557bf4c52f52418742048c87b</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 978-166543789-9 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource 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 James N., Christ (Seems to Be University), Department of Data Science, Pune, India; Kaushik J., Christ (Seems to Be University), Department of Data Science, Pune, India Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Conference Papers Conference Paper Faculty Publications- Conference Papers Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Comparison of Machine Learning-Based Intrusion Detection Systems Using UNSW-NB15 Dataset Subject The topic of the resource Cyber security; Intrusion detection; Machine learning; UNSW-NB15 Description An account of the resource Various machine learning classifiers have been employed recently to enhance network intrusion detection. In the literature, researchers have put forth a wide range of intrusion detection solutions. The accuracy of the machine learning classifiers intrusion detection is limited by the fact that they were trained on dated samples. Therefore, the most recent dataset must be used to train the machine learning classifiers. In this study, UNSW-NB15, machine learning classifiers are trained using the most recent dataset. A taxonomy of classifiers based on eager and lazy learners is used to train the chosen classifiers, such as K-Means (KNN), Polynomial Features, Random Forest (RF), and Naive Bayes (NB), Linear Regression. In order to decrease the redundant and unnecessary features in the UNSW-NB15 dataset, chi-Square, a filter-based feature selection technique, is used in this study. When comparing these machine learning classifiers, performance is measured in terms of accuracy, mean squared error (MSE), precision, recall, and F1-score with or without feature selection technique. The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd 2024. Creator An entity primarily responsible for making the resource Sambandam R.K.; Daniel D.; Gokulapriya R.; Vetriveeran D.; Jenefa J.; Anuneshwar Source A related resource from which the described resource is derived Lecture Notes in Networks and Systems, Vol-844, pp. 311-324. 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/10.1007/978-981-99-8479-4_23" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-981-99-8479-4_23</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85181976034&doi=10.1007%2F978-981-99-8479-4_23&partnerID=40&md5=afbe76ab5f9c6bf9880d6ef41029a9dc" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85181976034&doi=10.1007%2f978-981-99-8479-4_23&partnerID=40&md5=afbe76ab5f9c6bf9880d6ef41029a9dc</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 23673370; ISBN: 978-981998478-7 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 Sambandam R.K., Department of CSE, SOET, CHRIST (Deemed to be University), Kengeri Campus, Bangalore, India; Daniel D., Department of CSE, SOET, CHRIST (Deemed to be University), Kengeri Campus, Bangalore, India; Gokulapriya R., Department of CSE, SOET, CHRIST (Deemed to be University), Kengeri Campus, Bangalore, India; Vetriveeran D., Department of CSE, SOET, CHRIST (Deemed to be University), Kengeri Campus, Bangalore, India; Jenefa J., Department of CSE, SOET, CHRIST (Deemed to be University), Kengeri Campus, Bangalore, India; Anuneshwar, Department of CSE, SOET, CHRIST (Deemed to be University), Kengeri Campus, 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 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 Comparison of streams delineated using various SRTM, ASTER and Cartosat DEM Subject The topic of the resource ASTER; Cartosat; DEM; SRTM; Toposheets Description An account of the resource Results from the study on the comparison of the stream network delineated from Shuttle Radar Topography Mission (SRTM) DEM, Advanced Space borne Thermal Emission and Reflection Radiometer (ASTER) DEM and Cartosat DEM with the stream network extracted from Toposheets concluded that SRTM DEM of 30m resolution was correlated well with the stream network extracted from SOI toposheets compared to ASTER and Cartosat DEM. It is recommended to utilise SRTM open access DEM of 30m resolution from research work carried out over the study area. 2021 Ecological Society of India. All rights reserved. Creator An entity primarily responsible for making the resource Suresh D.; Priya M.G.; Vaishnavi B. Source A related resource from which the described resource is derived Indian Journal of Ecology, Vol-48, No. 3, pp. 757-759. Publisher An entity responsible for making the resource available Ecological Society of India 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="" target="_blank" rel="noreferrer noopener"></a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85109607568&partnerID=40&md5=2f8c59122e813791b3fa7052524958a5" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85109607568&partnerID=40&md5=2f8c59122e813791b3fa7052524958a5</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 3045250 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 Suresh D., Department of Civil Engineering, Saveetha Engineering College, Chennai, 602 105, India; Priya M.G., Centre For Incubation, Innovation, Research and Consultancy (CIIRC), Jyothy Institute of Technology, Bangalore, 560 082, India; Vaishnavi B., 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 Comparison of TDD and PAIR programming for improving software quality Subject The topic of the resource Pair programming; Software quality; Test-driven development Description An account of the resource These days, programming improvement groups utilizing coordinated procedures have started widely adopting Test-driven development and Pair Programming. Test-driven development (TDD) is a transformative way to deal with improvement, which joins test-first improvement where you compose a test before you compose simple enough creation code to satisfy that test and refactoring. Pair Programming is a sort of communitarian programming where two individuals are working at the same time on a similar programming task. In this paper the TDD and Pair Programming is applied for a dataset, collected from a group of users and compared. For our research, we executed structured experiments with five set of pair programmers and ten individual programmers. Both groups developed programs in Java. The outcome acquired demonstrates the strategy helps in expanding the software quality. IAEME Publication. Creator An entity primarily responsible for making the resource Sushma V.S.; Nizar Banu P.K. Source A related resource from which the described resource is derived International Journal of Civil Engineering and Technology, Vol-9, No. 1, pp. 944-952. Publisher An entity responsible for making the resource available IAEME Publication 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="" target="_blank" rel="noreferrer noopener"></a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85042018844&partnerID=40&md5=252bd52296411b849862ade25783cf23" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85042018844&partnerID=40&md5=252bd52296411b849862ade25783cf23</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 9766308 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 Sushma V.S., Department of Computer Science, CHRIST (Deemed to be University), Bengaluru, India; Nizar Banu P.K., Department of Computer Science, 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 Comparison of the effect of suction-injection-combination on Rayleigh-Bard convection in the case of asymmetric boundaries with those of symmetric ones Description An account of the resource The effect of suction-injection-combination (SIC) on the linear and weakly nonlinear stability of Rayleigh-Bard convection is considered in the paper for the cases of symmetric and asymmetric boundary conditions. Using the Maclaurin series with an appropriate number of terms, expression for eigenfunctions is obtained. The linear theory corroborates the results obtained using the chosen eigenfunctions in the limiting case of the no-SIC effect by matching accurately with the exact values concerning the critical Rayleigh number (Rac) and the wave number (?c). It is found that the effect of SIC is to stabilize the system in the case of symmetric boundaries irrespective of SIC being pro-gravity or anti-gravity. However, the effect of SIC is to stabilize/destabilize the system depending on SIC being pro-gravity or anti-gravity in the case of the asymmetric boundaries. We also noted a similar effect in the case of ?c wherein a maximum error of order 10 ? 4 was observed. The main novelty of the present work is studying the influence of SIC on the nonlinear dynamics of the considered problem. It is shown that the effect of SIC is to hasten the onset of chaos. Using various indicators (the largest Lyapunov exponent, the time series solution, the amplitude spectrum, and the phase-space plots), the dynamical behavior of the system is analyzed and the influence of SIC on the dynamics is recorded. The change due to the boundary effect and the SIC on the size of convection rolls and the trapping region where the dynamical system evolves within a bound is highlighted in the paper. 2023 Author(s). Creator An entity primarily responsible for making the resource Kanchana C.; Siddheshwar P.G.; Pez L.M.; Laroze D. Source A related resource from which the described resource is derived Physics of Fluids, Vol-35, No. 5 Publisher An entity responsible for making the resource available American Institute of Physics 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/10.1063/5.0146657" target="_blank" rel="noreferrer noopener">https://doi.org/10.1063/5.0146657</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85159786556&doi=10.1063%2F5.0146657&partnerID=40&md5=fffa2703afc2330ee0d1d9b189a2f081" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85159786556&doi=10.1063%2f5.0146657&partnerID=40&md5=fffa2703afc2330ee0d1d9b189a2f081</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 10706631; CODEN: PHFLE 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 Kanchana C., Instituto de Alta Investigaci, CEDENNA, Universidad de Tarapac Casilla 7 D, Arica, Chile; Siddheshwar P.G., Center for Mathematical Needs, Department of Mathematics, CHRIST(Deemed to be University), Bengaluru, 560029, India; Pez L.M., Departamento de Fica, FACI, Universidad de Tarapac Casilla 7 D, Arica, 1000000, Chile; Laroze D., Instituto de Alta Investigaci, CEDENNA, Universidad de Tarapac Casilla 7 D, Arica, Chile 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 Comparison of the inter-item correlations of the Big Five Inventory-10 (BFI-10) between Western and non-Western contexts Subject The topic of the resource BFI-10; Brief scales; Inter-item correlations; Omega coefficient; Personality traits; Western vs. non-Western countries Description An account of the resource The Big Five Inventory-10 (BFI-10; Rammstedt & John, 2007) is one of many short versions of personality inventories that measure the Big Five trait dimensions. Short versions of scales often present methodological challenges as a trade-off for their convenience. Based on samples from 28 countries (N = 10,560), the current study investigated inter-item correlations estimated using Omega coefficients within each of the five personality characteristics measured by the BFI-10. Results showed that inter-item correlations were significantly lower, in the sample data from non-Western countries compared with the Western countries, for three of the five personality traits, specifically Conscientiousness, Extraversion, and Emotional Stability. Our findings indicate that the psychometric challenges exist across different cultures and traits. We offer recommendations when using short-item scales such as BFI-10 in survey research. 2022 Elsevier Ltd Creator An entity primarily responsible for making the resource Park J.; van den Broek K.L.; Bhullar N.; Ogunbode C.A.; Schermer J.A.; Doran R.; Ardi R.; Hanss D.; Maran D.A.; Albzour M.; Aquino S.D.; Ayanian A.H.; Chegeni R.; Chukwuorji J.C.; Enea V.; Ghanbarian E.; Ghorayeb J.; Jiang F.; Kehinde O.A.; Lins S.; Lomas M.J.; Lu S.; Marot T.; Mbungu W.; Navarro-Carrillo G.; Onyutha C.; Reyes M.E.S.; Salmela-Aro K.; Sollar T.; Tahir H.; Tan C.-S.; Torres-Mar J.; Tsubakita T.; Volkodav T.; Wlodarczyk A.; Yadav R. Source A related resource from which the described resource is derived Personality and Individual Differences, Vol-196 Publisher An entity responsible for making the resource available Elsevier Ltd Date A point or period of time associated with an event in the lifecycle of the resource 2022-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1016/j.paid.2022.111751" target="_blank" rel="noreferrer noopener">https://doi.org/10.1016/j.paid.2022.111751</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85131564626&doi=10.1016%2Fj.paid.2022.111751&partnerID=40&md5=3a5c1b46efed3d53ef953128b19a2cc0" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85131564626&doi=10.1016%2fj.paid.2022.111751&partnerID=40&md5=3a5c1b46efed3d53ef953128b19a2cc0</a> Rights Information about rights held in and over the resource All Open Access; Green Open Access Relation A related resource ISSN: 1918869; CODEN: PEIDD 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 Park J., School of Management, NUCB Business School, Japan; van den Broek K.L., Copernicus Institute of Sustainable Development, Utrecht University, Netherlands, Research Centre for Environmental Economics, Heidelberg University, Germany; Bhullar N., School of Psychology, University of New England, NSW, Australia, Discipline of Psychology, Edith Cowan University, Australia; Ogunbode C.A., School of Psychology, University of Nottingham, UK, United Kingdom; Schermer J.A., Department of Management and Organisational Studies, Faculty of Social Science, University of Western Ontario, Canada; Doran R., Department of Psychosocial Science, Faculty of Psychology, University of Bergen, Bergen, Norway; Ardi R., Department of Psychology, Universitas Airlangga, Indonesia; Hanss D., Department of Social Sciences, Darmstadt University of Applied Sciences, Germany; Maran D.A., Department of Psychology, University of Torino, Turin, Italy; Albzour M., Department of Social and Behavioral Science, Birzeit University, Palestine; Aquino S.D., Psychology Department, Pontifical Catholic University of Rio de Janeiro, Brazil; Ayanian A.H., The Institute for Interdisciplinary Research on Conflict and Violence, Bielefeld University, Germany; Chegeni R., PROMENTA Research Center, Department of Psychology, University of Oslo, Oslo, Norway; Chukwuorji J.C., Department of Psychology, University of Nigeria, Nigeria; Enea V., Department of Psychology, Alexandru Ioan Cuza University of Iasi, Ia?i, Romania; Ghanbarian E., Department of Human Ecology, University of Alberta, Canada; Ghorayeb J., Department of Psychology, Zayed University, Dubai, United Arab Emirates; Jiang F., Department of Human Resources and Organisational Behaviour, University of Greenwich, Beijing, China; Kehinde O.A., Department of Psychology, Obafemi Awolowo University, Ife, Nigeria; Lins S., Faculty of Psychology and Education Sciences, University of Porto, Portugal; Lomas M.J., School of Health and Society, University of Salford, UK, United Kingdom; Lu S., School of Applied Social Sciences, De Montfort University, UK, United Kingdom; Marot T., Psychology Department, Pontifical Catholic University of Rio de Janeiro, Brazil; Mbungu W., Department of Civil and Water Resources Engineering, School of Engineering and Technology, Sokoine University of Agriculture, Morogoro, Tanzania; Navarro-Carrillo G., Department of Psychology, University of Ja, Spain; Onyutha C., Department of Civil and Environmental Engineering, Kyambogo University, Uganda; Reyes M.E.S., Department of Psychology, College of Science, University of Santo Tomas, Manila, Philippines; Salmela-Aro K., Department of Educational Sciences, University of Helsinki, Helsinki, Finland; Sollar T., Department of Psychological Sciences, Faculty of Social Sciences and Healthcare, Constantine the Philosopher University in Nitra, Nitra, Slovakia; Tahir H., Department of Psychosocial Science, Faculty of Psychology, University of Bergen, Bergen, Norway; Tan C.-S., Department of Psychology and Counselling, Faculty of Arts and Social Science, Universiti Tunku Abdul Rahman, Kampar, Malaysia; Torres-Mar J., Department of Research Methods in Behavioural Sciences, University of Granada, Granada, Spain; Tsubakita T., Faculty of Management, Nagoya University of Commerce and Business, Japan; Volkodav T., Faculty of Pedagogy, Psychology and Communicative Studies, Kuban State University, Krasnodar, Russian Federation; Wlodarczyk A., Escuela de Psicolog, Facultad de Humanidades, Universidad Catica del Norte, Antofagasta, Chile; Yadav R., School of Business and Management, 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 Faculty Publications 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/. Creator An entity primarily responsible for making the resource Soibam, Davita Devi; Siddheshwar, Pradeep G.; Idris, Ruwaidiah Title A name given to the resource Comparison of the Results of Steady Darcy-Be ?ard Convection Problems of the Classical and the Barletta Types Date A point or period of time associated with an event in the lifecycle of the resource 01-01-2025 Source A related resource from which the described resource is derived CFD Letters;Volume;17;Issue;9;pp.163-177 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.37934/cfdl.17.9.163177" target="_blank" rel="noreferrer noopener">https://doi.org/10.37934/cfdl.17.9.163177</a> <a href="https://www.scopus.com/pages/publications/105003423467?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105003423467?origin=resultslist</a> Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Soibam D.D., Centre for Mathematical Needs, Mathematics Department, CHRIST (Deemed to be University), Bengaluru, 560029, India; Siddheshwar P.G., Centre for Mathematical Needs, Mathematics Department, CHRIST (Deemed to be University), Bengaluru, 560029, India; Idris R., Special Interest Group for Modelling and Data Analytics, Faculty of Computer Science and Mathematics, Universiti Malaysia Terengganu, Kuala Nerus, Terengganu, 21030, Malaysia Description An account of the resource The linear stability analysis of the Barletta-Darcy-Bnard convection problem in a horizontal fluid-saturated porous layer is extended to a weakly nonlinear stability analysis considering local thermal equilibrium (LTE) between the fluid and solid phases. The minimal Fourier-Galerkin expansion is used for the case of a free upper surface (Neumann boundary condition on the stream function) along with isothermal boundary condition for which heat transport is quantified in terms of the Nusselt number. The present article aims to fill the literature gap between the linear and nonlinear stability analyses of classical Darcy-Bnard convection and of Barletta-Darcy-Bnard convection. Weakly non-linear stability analysis has not been performed in the case of the non-classical Darcy-Bnard convection problem. A comparison of results of the present problem with those of the classical Darcy-Bnard convection problem is made. It is found that the cell size is larger in the case of the former problem compared to the latter. The critical Darcy-Rayleigh number, however is smaller in the former one. The Nusselt number varies inversely as the Rayleigh number, R and hence the Nusselt number increases with decrease in R which implies that more heat is transported in Barletta-Darcy-Bnard convection compared to classical Darcy-Bnard convection. 2025, Semarak Ilmu Publishing. All rights reserved. Subject The topic of the resource linear stability; Newtonian fluid; Nusselt number; Porous medium; weakly nonlinear stability Publisher An entity responsible for making the resource available Semarak Ilmu Publishing Relation A related resource ISSN: 21801363; Language A language of the resource English Type The nature or genre of the resource Article Rights Information about rights held in and over the resource All Open Access; Gold Open Access Format The file format, physical medium, or dimensions of the resource online 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 Comparison of Various Types of Lubrication During Hard Turning of H13 Tool Steel by Analysing Flank Wear Using ANOVA Subject The topic of the resource ANOVA; Flank wear; Hard turning; MCFA; MQL; SEM Description An account of the resource Hard machining of components has been a new attraction in the field of manufacturing, as it avoids the need for multiple cost inculcation processes for a single part. Hard machining attracts a wide attention to the researchers because of the usage of hard tools, tougher machinery and enormous quantities of cutting fluids. Optimized use of any of these functionaries can result in reduction of cost as well as safer and clean working environments. In this research new cutting fluid reduction processes were compared along with the use of hard metal inserts. These two methods suggest an enormous amount of cost reduction along with cleaner shop floor. Minimal quantity lubrication (MQL) and minimal cutting fluid application (MCFA) capacities in cutting fluid reduction as mentioned by various researchers in past two decades. These methods were compared in this research paper for finding out the best possible system. Flank wear is considered as a crucial parameter in hard machining as the wear rate affects other deserving product qualities such as surface finish and job profiles. In this research tungsten carbide coated hard metal inserts were used instead of conventional CBN or diamond tipped tools, which are of higher in price margin. The study comprised of Taguchis L9 orthogonal array, which was advised by previous researchers as good tool for optimisation. MQL and MCFA assisted experimentation were performed with same cutting conditions, which were then again compared with dry hard machining and wet machining. Influence of each input parameters where critically evaluated using ANOVA. The results revealed that a promising reduction in tool wear was noticed in MCFA assisted hard machining. 2020, Springer Nature Singapore Pte Ltd. Creator An entity primarily responsible for making the resource Raj A.; Ramesha K.; Sajan J.U.; Khan D.M.; Varshini U.A. Source A related resource from which the described resource is derived Lecture Notes in Mechanical Engineering, pp. 489-497. 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 2020-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1007/978-981-32-9931-3_47" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-981-32-9931-3_47</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85087847742&doi=10.1007%2F978-981-32-9931-3_47&partnerID=40&md5=84f3455e5d8939f284215f6c6db14e16" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85087847742&doi=10.1007%2f978-981-32-9931-3_47&partnerID=40&md5=84f3455e5d8939f284215f6c6db14e16</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 21954356; ISBN: 978-981329930-6 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 Raj A., Department of Mechanical and Automobile Engineering, Faculty of Engineering, Christ University, Bangalore, 560074, India; Ramesha K., Department of Mechanical and Automobile Engineering, Faculty of Engineering, Christ University, Bangalore, 560074, India; Sajan J.U., Department of Mechanical and Automobile Engineering, Faculty of Engineering, Christ University, Bangalore, 560074, India; Khan D.M., Department of Mechanical and Automobile Engineering, Faculty of Engineering, Christ University, Bangalore, 560074, India; Varshini U.A., Department of Mechanical and Automobile Engineering, Faculty of Engineering, Christ University, Bangalore, 560074, India https://archives.christuniversity.in/files/original/f6742691c839ccf995be7999f5c9191e.pdf 9a4bd3175e5338a1eac87906787614fd 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 COMPARISON OF VIOLENCE IN TELEVISION ANIMATION IN THE PAST TWO DECADES AND IF THERE IS AN EFFECT ON THE MINDS ON THE VIEWERS Creator An entity primarily responsible for making the resource Singh Anuradha Date A point or period of time associated with an event in the lifecycle of the resource 2012 Source A related resource from which the described resource is derived Media Studies Description An account of the resource Cartoons are the most popular form of entertainment for children. There are very few children who do not watch cartoons. Cartoons are animated figures which carry a story along with it. Every child is exposed to cartoons in some way or the other and whether we except it or not cartoons do have an impact on the minds of the viewers. That??s why most of the cartoons for children are sweet and innocent. But there are a few cartoons that have violence in them. This violence at times can affect the minds and the thinking process of the child. Over the past two decades violence in cartoons has increased. So this study compares the cartoons in the two decades and the increase and the effect it has on the minds. The study to a certain extent proved that the sample population believes that the violence that they view affects them in some way or the other. 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 Comparisons of Stock Price Predictions Using Stacked RNN-LSTM Subject The topic of the resource Interest patterns; Investments; Long Short-Term Memory (LSTM); Machine learning; Neural networks; RNN; Stock market Description An account of the resource This paper seeks to identify how the RNN-LSTM can be used in predicting the rise and fall in stock markets thereby helping investors to understand stock prices. Therefore, by predicting the nature of the stock market, investors can use different machine learning techniques to understand the process of selecting the appropriate stock and enhance the return investments thereafter. Long Short-Term Memory (LSTM) is a deep learning technique that helps to analyze and predict the data with respect to the challenges, profits, investments and future performance of the stock markets. The research focuses on how neural networks can be employed to understand price changes, interest patterns and trades in the stock market sector.The datasets of companies such as IBM, Cisco, Microsoft, Tesla and GE were used to build the stacked RNN-LSTM model using timesteps of 7 and 14days. The two layered stacked RNN-LSTM models of the companies such as Microsoft and Tesla achieved their highest model accuracies after being trained over a span of one year whereas the other companies acquired their highest accuracies after being trained over a span of 4 to 5years which implies that the rate of change of economic factors affecting Microsoft and Tesla over a short span of time is high as compared to the other existing companies. 2021, Springer Nature Switzerland AG. Creator An entity primarily responsible for making the resource Sequeira S.; Banu P.K.N. Source A related resource from which the described resource is derived Communications in Computer and Information Science, Vol-1483, pp. 380-390. 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 2021-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1007/978-3-030-91244-4_30" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-3-030-91244-4_30</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85122516327&doi=10.1007%2F978-3-030-91244-4_30&partnerID=40&md5=be50908b7b2c024fc662217e06cb21a2" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85122516327&doi=10.1007%2f978-3-030-91244-4_30&partnerID=40&md5=be50908b7b2c024fc662217e06cb21a2</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 18650929; ISBN: 978-303091243-7 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 Sequeira S., Department of Computer Science, CHRIST (Deemed to be University), Bangalore, India; Banu P.K.N., Department of Computer Science, 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 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 Compendium of Qubit Technologies inQuantum Computing Subject The topic of the resource Charge-phase qubits; Dots and donors; NMR; Photonic qubits; Quantum computing; Qubit; Solid-state qubits; Topology; Trapped ion Description An account of the resource Quantum computing is information processing based on the principles of quantum mechanics. Qubits are at the core of quantum computing. A qubit is a quantum state where information can be encoded, processed, and readout. Any particle, sub-particle, or quasi-particle having a quantum phenomenon is a possible qubit candidate. Ascendancy in algorithms and coding demands knowledge of the specificities of the inherent hardware. This paper envisages qubits from an information processing perspective and analyses core qubit technologies. 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. Creator An entity primarily responsible for making the resource Sebastian E.; Poonia R.C. Source A related resource from which the described resource is derived Lecture Notes in Networks and Systems, Vol-686 LNNS, pp. 91-100. 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/10.1007/978-981-99-2100-3_8" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-981-99-2100-3_8</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85172231552&doi=10.1007%2F978-981-99-2100-3_8&partnerID=40&md5=091b8c21d9ee5b6c775154f4904f2823" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85172231552&doi=10.1007%2f978-981-99-2100-3_8&partnerID=40&md5=091b8c21d9ee5b6c775154f4904f2823</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 23673370; ISBN: 978-981992099-0 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Conference paper Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Sebastian E., Department of Computer Science, Assumption College, Kerala, Changanassery, 686101, India; Poonia R.C., Department of Computer Science, CHRIST (Deemed to be University), Karnataka, Bangalore, 560029, India