112 20 11858 https://archives.christuniversity.in/files/original/98b8c4de574f7b6ab8f73b29d28d41a2.jpg 0b6dfeeadbd8dbf97f5aef738454f6b9 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 Medical waste treatment device / Subject The topic of the resource Medical Waste Treatment Device Description An account of the resource Patent Number: 354500-001, Applicant: Ila Anand. Creator An entity primarily responsible for making the resource Dawar, Gaurav. Source A related resource from which the described resource is derived <a href="https://drive.google.com/file/d/1bqMxCGE3LFWWSetzT7vnN0NkFs8e02_Y/view" target="_blank" title="Medical waste treatment device /" rel="noreferrer noopener">https://drive.google.com/file/d/1bqMxCGE3LFWWSetzT7vnN0NkFs8e02_Y/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 2022-05-19 Language A language of the resource English Type The nature or genre of the resource Patent https://archives.christuniversity.in/files/original/4015c9c029c82c1b94fbe0ae51516faa.jpg 0b6dfeeadbd8dbf97f5aef738454f6b9 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 Model between viral branding factors and trustworthiness / Subject The topic of the resource Academic Model Building ( Management ) Description An account of the resource Patent Number: 202211039578, Applicant: Dr. Vikas Singla. The importance of Viral branding (VB) strategy in building long-term and sustainable psychological links with consumers had been sufficiently highlighted in literature. However, very few research attempted to provide a structured tool for its measurement. This study proposed a 13- point four-factor multidimensional scale which could be used to measure VB formally. Dimensions measuring VB were derived from literature and then examined on different brands in order to achieve a reliable and valid scale. Creator An entity primarily responsible for making the resource Dawar, Gaurav. Source A related resource from which the described resource is derived <a href="https://drive.google.com/file/d/1wSkh_EQl0ki7YdREE6N7UU41c2RnCG0M/view" target="_blank" title="Model between viral branding factors and trustworthiness /" rel="noreferrer noopener">https://drive.google.com/file/d/1wSkh_EQl0ki7YdREE6N7UU41c2RnCG0M/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 2022-05-22 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 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 Data Analytics and ML for Optimized Performance in Industry 4.0 Description An account of the resource Industry 4.0, the fourth industrial revolution, has revolutionized manufacturing and production systems by integrating Data Analytics (DA) and Machine Learning (ML) techniques. Predictive maintenance, which predicts equipment malfunctions and schedules maintenance in advance, is a crucial application of DA and ML within Industry 4.0. It reduces downtime, improves productivity, and lowers costs. Demand forecasting, which uses historical data and ML algorithms to predict future product demand, and anomaly detection, which identifies abnormal patterns or events within large datasets, are also critical applications of DA and ML in Industry 4.0. They enhance operational efficiency and reduce costs. However, the adoption of DA and ML presents several challenges for organizations, including infrastructure, personnel, ethical, and privacy concerns. To realize the benefits of DA and ML, companies must invest in appropriate hardware and software and develop the necessary expertise. They must also handle data responsibly and transparently to ensure privacy and ethical standards. Despite these challenges, the integration of DA and ML in Industry 4.0 is critical for optimized performance, improved productivity, and cost savings. 2024 selection and editorial matter, Nidhi Sindhwani, Rohit Anand, A. Shaji George and Digvijay Pandey; individual chapters, the contributors. Creator An entity primarily responsible for making the resource Daya Sagar K.V.; Ramachandran K.K.; Acharjee P.B.; Singh P.; Satyala H.; Singh B. Source A related resource from which the described resource is derived Robotics and Automation in Industry 4.0: Smart Industries and Intelligent Technologies, Vol-45689, pp. 275-287. Publisher An entity responsible for making the resource available CRC Press 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/10.1201/9781003317456-15" target="_blank" rel="noreferrer noopener">https://doi.org/10.1201/9781003317456-15</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85191824754&doi=10.1201%2F9781003317456-15&partnerID=40&md5=ee2e7c5fd88fee6b4f0ebadbac00c861" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85191824754&doi=10.1201%2f9781003317456-15&partnerID=40&md5=ee2e7c5fd88fee6b4f0ebadbac00c861</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 978-100383735-0; 978-103232943-7 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 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 Daya Sagar K.V., Department of Electronics and Computer Engineering, Koneru Lakshmaiah Education Foundation, Guntur, India; Ramachandran K.K., Department of ManagementCommerce/International Business, Dr. G R D College of Science, Coimbatore, India; Acharjee P.B., Christ University, Pune, India; Singh P., Department of CSE Guru Ghasidas Vishwavidyalaya, Bilaspur, India; Satyala H., Department of Operation Management, Indian Institute of Management, Ranchi, India; Singh B., Department of Food Science and Technology, IK Gujral Punjab Technical University, Punjab, 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 Efficient detection of faults and false data injection attacks in smart grid using a reconfigurable Kalman filter Subject The topic of the resource False data injection attack; Kalman filter; Random attack; Reconfigurable Euclidean detector; Smart grid Description An account of the resource The distribution denial of service (DDoS) attack, fault data injection attack (FDIA) and random attack is reduced. The monitoring and security of smart grid systems are improved using reconfigurable Kalman filter. Methods: A sinusoidal voltage signal with random Gaussian noise is applied to the Reconfigurable Euclidean detector (RED) evaluator. The MATLAB function randn() has been used to produce sequence distribution channel noise with mean value zero to analysed the amplitude variation with respect to evolution state variable. The detector noise rate is analysed with respect to threshold. The detection rate of various attacks such as DDOS, Random and false data injection attacks is also analysed. The proposed mathematical model is effectively reconstructed to frame the original sinusoidal signal from the evaluator state variable using reconfigurable Euclidean detectors. 2022, Institute of Advanced Engineering and Science. All rights reserved. Creator An entity primarily responsible for making the resource Dayananda P.; Srikantaswamy M.; Nagaraju S.; Velluri R.; Kumar D.M. Source A related resource from which the described resource is derived International Journal of Power Electronics and Drive Systems, Vol-13, No. 4, pp. 2086-2097. Publisher An entity responsible for making the resource available Institute of Advanced Engineering and Science Date A point or period of time associated with an event in the lifecycle of the resource 2022-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.11591/ijpeds.v13.i4.pp2086-2097" target="_blank" rel="noreferrer noopener">https://doi.org/10.11591/ijpeds.v13.i4.pp2086-2097</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85139948832&doi=10.11591%2Fijpeds.v13.i4.pp2086-2097&partnerID=40&md5=fb190e305d9e228144980183b77de5da" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85139948832&doi=10.11591%2fijpeds.v13.i4.pp2086-2097&partnerID=40&md5=fb190e305d9e228144980183b77de5da</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: 20888694 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 Dayananda P., Department of Electrical and Electronics Engineering, SJB Institute of Technology, Bangalore, India; Srikantaswamy M., Department of Electronics and Communication Engineering, JSS Academy of Technical Education, Bangalore, India; Nagaraju S., Department of Electrical and Electronics Engineering, Sri Jayachamarajendra College of Engineering, Mysore, India; Velluri R., Department of Computer Science and Engineering, CHRIST (Deemed to be University), Bengaluru, India; Kumar D.M., Department of Electronics and Instrumentation Engineering, JSS Academy of Technical Education, 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 Editorials Editorial Faculty Publications- Editorial 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 Low Dimension Elemental and van der Waals Hetetostructures Materials including C Nanostructures and Perovskites Description An account of the resource [No abstract available] Creator An entity primarily responsible for making the resource De Padova P.; Hegde G. Source A related resource from which the described resource is derived Nanomaterials and Nanotechnology, Vol-2023 Publisher An entity responsible for making the resource available Sage-Hindawi 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/10.1155/2023/9802519" target="_blank" rel="noreferrer noopener">https://doi.org/10.1155/2023/9802519</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85176938941&doi=10.1155%2F2023%2F9802519&partnerID=40&md5=a133209333e7d51e25e2f977c93a3f06" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85176938941&doi=10.1155%2f2023%2f9802519&partnerID=40&md5=a133209333e7d51e25e2f977c93a3f06</a> Rights Information about rights held in and over the resource All Open Access; Gold Open Access Relation A related resource ISSN: 18479804 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 Editorial Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant De Padova P., Istituto di Struttura della Materia-CNR (ISM-CNR), Rome, Italy, INFN-LNF, Frascati, Rome, Italy; Hegde G., Department of Chemistry, Christ (Deemed to be University), Bengaluru, India, Centre for Advanced Research and Development (CARD), Christ (Deemed to be University), Bengaluru, India Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Articles Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource A Representation-Based Query Strategy to Derive Qualitative Features for Improved Churn Prediction Subject The topic of the resource Active learning; churn prediction; entropy; query strategy; topic classification Description An account of the resource The effectiveness of any Machine Learning process depends on the accuracy of annotated data that is used to train a learner. However, manual annotation is expensive. Hence, researchers adopt a semi-supervised approach called active learning that aims to achieve state-of-the-art performance using minimal number of samples. Although it boosts classifier performance, the underlying query strategies are unable to eliminate redundancy in selected samples. Redundant samples lead to increased cost and sub-optimal performance of learner. Inspired by this challenge, the study proposes a new representation-based query strategy that selects highly informative and representative subsets of samples for manual annotation. Data comprises messages of a set of customers sent to a service provider. Series of experiments are conducted to analyze the effectiveness of the proposed query strategy, called 'Entropy-based Min Max Similarity' (E-MMSIM), in the context of topic classification for churn prediction. The foundation of E-MMSIM is an algorithm that is popularly used to sequence proteins in protein databases. The algorithm is modified and utilized to select the most representative and informative samples. The performance is evaluated using F1-score, AUC and accuracy. It is observed that 'E-MMSIM' outperforms popular query strategies, and improves performance of topic classifiers for each of the 4 topics of churn prediction. The trained topic classifiers are used to derive qualitative features. These features are further integrated with structured variables for the same group of customers to predict churn. Experiments provide evidence that inclusion of qualitative features derived using E-MMSIM, enhance the performance of churn classifiers by 5%. 2013 IEEE. Creator An entity primarily responsible for making the resource De S.; Prabu P. Source A related resource from which the described resource is derived IEEE Access, Vol-11, pp. 1213-1223. Publisher An entity responsible for making the resource available Institute of Electrical and Electronics Engineers Inc. Date A point or period of time associated with an event in the lifecycle of the resource 2023-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/ACCESS.2022.3233768" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ACCESS.2022.3233768</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85147220302&doi=10.1109%2FACCESS.2022.3233768&partnerID=40&md5=fa0917a76096ca7cb58c24d1ee8ce02c" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85147220302&doi=10.1109%2fACCESS.2022.3233768&partnerID=40&md5=fa0917a76096ca7cb58c24d1ee8ce02c</a> Rights Information about rights held in and over the resource All Open Access; Gold Open Access Relation A related resource ISSN: 21693536 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Article Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant De S., Christ (Deemed to Be University), Department of Data Science, Bengaluru, 560029, India; Prabu P., Christ (Deemed to Be University), Department of Computer Science, Bengaluru, 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 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 Predicting customer churn: A systematic literature review Subject The topic of the resource Customer churn; Machine learning; Primary 68T35; Systematic literature review Description An account of the resource Churn prediction is an active topic for research and machine learning approaches have made significant contributions in this domain. Models built to address customer churn, aim to identify customers who are at a high risk of terminating services offered by a company. Hence, an effective machine learning model indirectly contributes to the revenue growth of an organization, by identifying at risk customers, well in advance. This improves the success rate of retention campaigns and reduces costs associated with churn. The aim of this study is to explore the state-of-the-art machine learning techniques used in churn prediction. A systematic literature review, that is driven by 5 research questions and rigorous quality assessment criteria, is presented. There are 38 primary studies that are selected out of 420 studies published between 2018 and 2021. The review identifies popular machine learning techniques used in churn prediction and provides directions for future research. Firstly, the study finds that churn models lack generalization capability across industry domains. Hence, it identifies a need for researchers to explore techniques that extend beyond model experimentation, to improve efficiency of classifiers across domains. Secondly, it is observed that the traditional approaches to churn prediction depend significantly on demographic, product-usage, and revenue features alone. However, recent papers have integrated social network analysis-related features in churn models and achieved satisfactory results. Furthermore, there is a lack of scientific work that utilizes information-rich content of customer-company-interaction instances via email, chat conversations and other means. This area is the least explored. Thirdly, there is scope to investigate the effect of hybrid sampling strategies on model performance. This has not been extensively evaluated in literature. Lastly, there is no formal guideline on correct evaluation parameters to be used for models applied on imbalanced churn datasets. This is a grey area that requires greater attention. 2022 Taru Publications. Creator An entity primarily responsible for making the resource De S.; Prabu P. Source A related resource from which the described resource is derived Journal of Discrete Mathematical Sciences and Cryptography, Vol-25, No. 7, pp. 1965-1985. Publisher An entity responsible for making the resource available Taylor and Francis 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/10.1080/09720529.2022.2133238" target="_blank" rel="noreferrer noopener">https://doi.org/10.1080/09720529.2022.2133238</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85143532848&doi=10.1080%2F09720529.2022.2133238&partnerID=40&md5=c0276528be8aa19f4631f63c1b78a62f" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85143532848&doi=10.1080%2f09720529.2022.2133238&partnerID=40&md5=c0276528be8aa19f4631f63c1b78a62f</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 9720529 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 De S., Department of Data Science, CHRIST (Deemed to be University), Central Campus, Karnataka, Bangalore, 560029, India; Prabu P., Department of Data Science, CHRIST (Deemed to be University), Central Campus, Karnataka, Bangalore, 560029, India Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Articles Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource A Sampling-Based Stack Framework for Imbalanced Learning in Churn Prediction Subject The topic of the resource Churn prediction; ensemble classifiers; ensemble stack; over-sampling; under-sampling Description An account of the resource Churn prediction is gaining popularity in the research community as a powerful paradigm that supports data-driven operational decisions. Datasets related to churn prediction are often skewed with imbalanced class distribution. Data-level solutions, like over-sampling and under-sampling, have been commonly used by researchers to address this problem. There are limited number of case studies that attempt to evolve these data-level solutions by integrating them with computationally advanced frameworks, like ensembles. Ensembles primarily employ algorithmic diversity using a fixed set of training instances to achieve superior performance. This study aims to introduce algorithmic diversity in ensembles by modifying the fixed set of training instances using diverse sampling strategies to increase predictive performance in imbalanced learning. Data is acquired from the world's largest open hotel commerce platform company. A four-part series of experiments is conducted to analyze the effectiveness of sampling techniques and ensemble solutions on model performance. A new sampling-based stack framework called 'Stacking of Samplers for Imbalanced Learning' is proposed. The framework combines the prediction capabilities of sampling solutions to stimulate the information gain of the meta features in ensemble. It is observed that the proposed framework leads to improvement in model performance with AUC of 86.4% and top-decile lift of 4.7 for customers of the hotel technology provider. Additionally, results show that the framework records a higher information gain for meta features used in a stack, compared to commonly used stack frameworks. 2013 IEEE. Creator An entity primarily responsible for making the resource De S.; Prabu P. Source A related resource from which the described resource is derived IEEE Access, Vol-10, pp. 68017-68028. 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/ACCESS.2022.3185227" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ACCESS.2022.3185227</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85133674427&doi=10.1109%2FACCESS.2022.3185227&partnerID=40&md5=8b07a43d126087ba6ccedc68eb3a7c0a" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85133674427&doi=10.1109%2fACCESS.2022.3185227&partnerID=40&md5=8b07a43d126087ba6ccedc68eb3a7c0a</a> Rights Information about rights held in and over the resource All Open Access; Gold Open Access Relation A related resource ISSN: 21693536 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Article Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant De S., CHRIST (Deemed to Be University), Department of Data Science, Bengaluru, 560029, India; Prabu P., CHRIST (Deemed to Be University), Department of Computer Science, Bengaluru, 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 Effective ML Techniques to Predict Customer Churn Subject The topic of the resource Class imbalance; Customer churn; Ensemble model; Hybrid model; Machine learning Description An account of the resource Customer churn is one of the most challenging problems that affects revenue and growth strategy of a company. According to a recent Gartner Tech Marketing survey, 91% of C-level respondents rate customer churn as one of their top concerns. However, only 43% have invested in additional resources to support customer expansion. Hence, retaining existing customers is of paramount importance to a company's growth. Many authors in the past have presented different versions of models to predict customer churn using machine learning techniques. The aim of this paper is to study some of the most important machine learning techniques used by researchers in the recent years. The paper also summarizes the prediction techniques, datasets used and performance achieved in these studies for a deeper understanding of the domain. The analysis shows that although hybrid and ensemble methods have been widely successful in improving model performance, there is a need for well-defined guidelines on appropriate model evaluation measures. While most approaches used are quantitative in nature, there is lack of research that focuses on information-rich content in customer company interaction instances, like emails, phone calls or customer support chat records. The information presented in the paper will not only help to increase awareness in industry about emerging trends in machine learning algorithms used in churn prediction, but also help new or existing researchers position their research activity appropriately. 2021 IEEE. Creator An entity primarily responsible for making the resource De S.; Prabu P.; Paulose J. Source A related resource from which the described resource is derived Proceedings of the 3rd International Conference on Inventive Research in Computing Applications, ICIRCA 2021, pp. 895-902. 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/ICIRCA51532.2021.9544785" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ICIRCA51532.2021.9544785</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85116941177&doi=10.1109%2FICIRCA51532.2021.9544785&partnerID=40&md5=5f6afd4ea9a86a891e926d03a9cae8d3" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85116941177&doi=10.1109%2fICIRCA51532.2021.9544785&partnerID=40&md5=5f6afd4ea9a86a891e926d03a9cae8d3</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 978-073814627-0 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 De S., Christ (Deemed to Be University), Department of Computer Science, Bangalore, India; Prabu P., Christ (Deemed to Be University), Department of Computer Science, Bangalore, India; Paulose J., Christ (Deemed to Be University), Department of Computer Science, 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 Application of Machine Learning in Customer Churn Prediction Subject The topic of the resource Customer churn; Customer relationship management; Data mining; Machine learning Description An account of the resource Retaining customers is the central component of a company's growth strategy. It is evident that several industries are experiencing a surge in customer churn due to the global pandemic. As a result, customer retention that lies at the core of customer relationship management, has become the foundation for every industry to plan for future growth. By reducing customer churn, a company can maximize its profit. Studies suggest that significant advancements are made in the field of customer churn prediction in domains like telecom, banking, e-commerce and energy sector. The focus of the paper is to present a detailed review of the various machine learning techniques applied to address churn. Fifty-five papers related to churn classification published between 2004 and 2020 are collected and analyzed. The reviewed papers are categorized into five main themes. These themes are feature selection techniques, methods to handle class imbalance, experimentation with machine learning algorithms, hybrid models and ensemble models respectively. Finally, few suggestions are presented as direction for future research. 2021 IEEE. Creator An entity primarily responsible for making the resource De S.; Prabu P.; Paulose J. Source A related resource from which the described resource is derived 3rd IEEE International Virtual Conference on Innovations in Power and Advanced Computing Technologies, i-PACT 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/i-PACT52855.2021.9696771" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/i-PACT52855.2021.9696771</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85126457996&doi=10.1109%2Fi-PACT52855.2021.9696771&partnerID=40&md5=a1b6f3a63a4bb0c1de1189f7fcf5e7cd" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85126457996&doi=10.1109%2fi-PACT52855.2021.9696771&partnerID=40&md5=a1b6f3a63a4bb0c1de1189f7fcf5e7cd</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 978-166542691-6 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 De S., CHRIST (Deemed to Be University), Department of Computer Science, Bangalore, India; Prabu P., CHRIST (Deemed to Be University), Department of Computer Science, Bangalore, India; Paulose J., CHRIST (Deemed to Be University), Department of Computer Science, 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 PHD PhD PhD 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/. Relation A related resource 61000382 Title A name given to the resource A Model for Churn Prediction Based on Qualitative Support Interaction Features for Hotel Technology Provider Subject The topic of the resource Sociology Description An account of the resource Customer retention is a significant driver of a company s growth. Machine learning has gained immense popularity as a means to predict customers at risk of churn. Churn prediction models are capable of highlighting customers who are at high risk of churn well in advance. A popular approach to improve the performance of churn prediction models is by using input variables that are mainly quantitative and structured in nature. There are limited works in literature that newlineinvestigate smart means to effectively utilize and integrate unstructured data into churn prediction models, and study the impact on model efficacy. One of the roadblocks to effectively utilize unstructured data is the associated cost of annotation which is both time consuming and requires intensive manual effort. To overcome this obstacle, researchers often adopt a semi-supervised newlineapproach called active learning that aims to achieve state-of-the-art performance using minimal number of samples. Although active learning boosts classifier performance, the underlying query strategies are unable to eliminate redundancy in selected samples for manual annotation. Redundant samples lead to increased cost and sub-optimal performance of learner. Inspired by this challenge, the study proposes a new representation-based query strategy that selects highly newlineinformative and representative subsets of samples for manual annotation. Data comprises newlinemessages of a set of customers sent to a service provider. Series of experiments are conducted to analyse the effectiveness of the proposed query strategy, called Entropy-based Min Max Similarity (E-MMSIM), in the context of topic classification for churn prediction. The foundation of E-MMSIM is an algorithm that is popularly used to sequence proteins in protein databases. The algorithm is modified and utilized to select the most representative and informative samples. The performance is evaluated using F1-score, AUC and accuracy. Creator An entity primarily responsible for making the resource De, Soumi Source A related resource from which the described resource is derived Author's Submission Publisher An entity responsible for making the resource available Christ(Deemed to be University) Date A point or period of time associated with an event in the lifecycle of the resource 2024-01-01 Contributor An entity responsible for making contributions to the resource Prabu, P Rights Information about rights held in and over the resource Open Access Format The file format, physical medium, or dimensions of the resource PDF Language A language of the resource English Type The nature or genre of the resource PhD Identifier An unambiguous reference to the resource within a given context <a href="http://hdl.handle.net/10603/595259" target="_blank" rel="noreferrer noopener">http://hdl.handle.net/10603/595259</a> Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Articles Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Resilience in Children from Different Socioeconomic Backgrounds: An Exploratory Study Subject The topic of the resource Children; Parenting; Resilience; Socioeconomic background Description An account of the resource Poverty, violence, substance abuse, family dissonance and illness represent a few potential vulnerabilities in the lives of children who are at risk of failing in their future prospects. It is thus essential to explore resilience in children, owing to the excess or deficit of exposure and access in a childs life. This study aims at exploring the resilience of children of the age group 710years, from different socioeconomic backgrounds. The socioeconomic status was determined using the Kuppuswamy socioeconomic scale and these children had parents with authoritarian and permissive parenting styles which were screened through the Parenting Styles and Dimensions Questionnaire which act as risk factors for the children. Data was collected through individual semi-structured interviews with the participants and was analysed using thematic analysis. For the lower socioeconomic status group, the main themes identified were social interaction and competence, overcoming distress and future focus, and for the upper socioeconomic status group, the main themes identified were social interaction and competence and emotional management. The study paves the way for further exploration of the impact of economic status on childrens wellbeing and might inform changes at a clinical, research and policy level. 2023, The Author(s), under exclusive licence to Springer Nature Switzerland AG. Creator An entity primarily responsible for making the resource Dean C.; Afsar M.; Pandey V.P. Source A related resource from which the described resource is derived Human Arenas Publisher An entity responsible for making the resource available Springer Science and Business Media B.V. Date A point or period of time associated with an event in the lifecycle of the resource 2023-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1007/s42087-023-00336-8" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/s42087-023-00336-8</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85148955650&doi=10.1007%2Fs42087-023-00336-8&partnerID=40&md5=219bcb9b4cfb323a35bf09ecf6957be5" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85148955650&doi=10.1007%2fs42087-023-00336-8&partnerID=40&md5=219bcb9b4cfb323a35bf09ecf6957be5</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 25225804 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 Dean C., Department of Psychology, CHRIST Deemed to be University, NCR, Delhi, 201003, India; Afsar M., Department of Psychology, CHRIST Deemed to be University, NCR, Delhi, 201003, India; Pandey V.P., Department of Psychology, Lakshmi Bai College, Delhi University, New 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 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 Encoder-Decoder Approach toward Vehicle Detection Subject The topic of the resource codec; convolutional neural network; moving object detection; Surveillance video; tracking; vehicle detection; YOLOv3 Description An account of the resource Vehicle Detection algorithms run on deep neural networks. But one problem arises, when the vehicle scale keeps on changing then we may get false detection or even sometimes no detection at all, especially when the object size is tiny. Then algorithms like CNN, fast-RCNN, and faster-RCNN have a high probability of missed detection. To tackle this situation YOLOv3 algorithm is being used. In the codec module, a multi-level feature pyramid is added to resolve multi-scale vehicle detection problems. The experiment was carried out with the KITTI dataset and it showed high accuracy in several environments including tiny vehicle objects. YOLOv3 was able to meet the application demand, especially in traffic surveillance Systems. Grenze Scientific Society, 2023. Creator An entity primarily responsible for making the resource Deb P.; Kumar S.; Preethi N. Source A related resource from which the described resource is derived 14th International Conference on Advances in Computing, Control, and Telecommunication Technologies, ACT 2023, Vol-2023-June, pp. 1-6. Publisher An entity responsible for making the resource available Grenze Scientific Society 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="" target="_blank" rel="noreferrer noopener"></a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85174281339&partnerID=40&md5=dc3e0129960322c3647fce9322212e48" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85174281339&partnerID=40&md5=dc3e0129960322c3647fce9322212e48</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource 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 Deb P., Department of Data Science, Christ University Lavasa, Pune, India; Kumar S., Department of Data Science, Christ University Lavasa, Pune, India; Preethi N., Department of Data Science, Christ University Lavasa, 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 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 COVID-19 and stress of Indian youth: An association with background, on-line mode of teaching, resilience and hope Subject The topic of the resource COVID-19; Dimensions of hope; Dimensions of mental health; Dimensions of psychological stress; Dimensions of resilience Description An account of the resource Background: COVID-19 pandemic causes serious threats to physical health and triggers wide varieties of psychological problems, including anxiety and depression. Youth exhibit a greater risk of developing psychological distress, especially during epidemics influencing their wellbeing. Objectives: To identify the relevant dimensions of psychological stress, mental health, hope and resilience and to examine the prevalence of stress in Indian youth and its relationship with socio-demographic information, online-mode of teaching, hope and resilience. Method: A cross-sectional online survey obtained information on socio-demographic background, online-mode of teaching, psychological stress, hope and resilience from the Indian youth. A Factor Analysis is also conducted on the recompenses of the Indian youth on psychological stress, mental health, hope and resilience separately to identify the major factors associated with parameters. The sample size in this study was 317, which is more than the required sample size (Tabachnik et al., 2001). Results: About 87% of the Indian youth perceived moderate to a high levels of psychological stress during the current COVID-19 pandemic. Different demographic, sociographic and psychographic segments were found to have high stress levels due to the pandemic, while psychological stress was found to be negatively correlated with resilience as well as hope. The findings identified significant dimensions of the stress caused by the pandemic and also identified the dimensions of mental health, resilience and hope among the study subjects. Conclusion: As stress has a long-term impact on human psychology and can disrupt the lives of people and as the findings suggest that the young population of the country have faced the greatest amount of stress during the pandemic, a greater need for mental health support is required to the young population, especially in post pandemic situations. The integration of online counselling and stress management programs could assist in mitigating the stress of youth involved in distance learning. 2023 The Author(s) Creator An entity primarily responsible for making the resource Deb S.; Dorji N.; Kar S.; Maria Sunny A.; Deb S.; Ghosh S.; Chakraborty S. Source A related resource from which the described resource is derived Journal of Affective Disorders Reports, Vol-12 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 2023-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1016/j.jadr.2023.100502" target="_blank" rel="noreferrer noopener">https://doi.org/10.1016/j.jadr.2023.100502</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85149453241&doi=10.1016%2Fj.jadr.2023.100502&partnerID=40&md5=5b565e55f892f09c584415372a3de354" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85149453241&doi=10.1016%2fj.jadr.2023.100502&partnerID=40&md5=5b565e55f892f09c584415372a3de354</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: 26669153 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 Deb S., Rajiv Gandhi National Institute of Youth Development, Ministry of Youth Affairs and Sports (MYAS), Government of India (GOI), Pennalur, Tamil Nadu, Sriperumbudur, 602 105, India; Dorji N., Department of Public Health, Faculty of Nursing and Public Health, KhesarGyalpo University of Medical Sciences of Bhutan, Thimphu, Bhutan; Kar S., Department of Mathematics, National Institute of Technology, West Bengal, Durgapur, India; Maria Sunny A., Faculty, Department of Applied Psychology, Rajiv Gandhi National Institute of Youth Development, Ministry of Youth Affairs and Sports (MYAS), Government of India (GOI), Pennalur, Tamil Nadu, Sriperumbudur, 602 105, India; Deb S., Department of Psychology, CHRIST (Deemed to be University), Bengaluru, India; Ghosh S., Xavier Business School, St. Xavier's University, Kolkata, India; Chakraborty S., Xavier Business School, St. Xavier's University, Kolkata, 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 COVID-19 and Mental Health of Indian Youth: Association with Background Variables and Stress Subject The topic of the resource Demographic variables: COVID-19; India; Mental health; Stress; Youth Description An account of the resource The coronavirus has become a public health concern of the decade, affecting the economic, social, and psychological stability of the whole world. Having understood the detrimental impact of the pandemic to the mental health of people of all age groups, youth is understood to be the most vulnerable population who receives its direct impact. The broad objective was to study the mental health status of Indian youth and its association with various demographic variables. Psychological stress and mental health was another relationship that was explored. A group of 317 participants between the age group of 19 to 29 voluntarily took part in the online survey. Gender was found to be associated with overall mental health status (p < 0.01) as well its correlates, namely anxiety (p < 0.05), depression (p < 0.05), and loss of behavioral control (p < 0.01). Association between age and loss of positive affect (p < 0.05), number of siblings and loss of behavioral control (p < 0.01), and family environment and overall mental health scores (p < 0.001) were found. Similarly, feeling of restlessness during lockdown (p < 0.001), availability of support (p < 0.001), and feeling the need to consult a mental health professional were associated with the overall mental health score as well as all its sub-scales. Further, there were strong negative correlations between psychological stress and overall mental health scores, as well as that of anxiety, depression, and loss of behavioral control and positive affect sub-scales. The study highlighted the need for psychological support services for the youth population of the country to cope with and adapt to the new situation. The Editor(s) (if applicable) and The Author(s), under exclusive license to Taylor and Francis Pte Ltd. 2022. Creator An entity primarily responsible for making the resource Deb S.; Dorji N.; Sunny A.M.; Deb S. Source A related resource from which the described resource is derived Handbook of Health and Well-Being: Challenges, Strategies and Future Trends, pp. 357-373. Publisher An entity responsible for making the resource available Springer Nature Date A point or period of time associated with an event in the lifecycle of the resource 2022-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1007/978-981-16-8263-6_15" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-981-16-8263-6_15</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85160486704&doi=10.1007%2F978-981-16-8263-6_15&partnerID=40&md5=15ee774e3e5c3d98986373e0e092d79f" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85160486704&doi=10.1007%2f978-981-16-8263-6_15&partnerID=40&md5=15ee774e3e5c3d98986373e0e092d79f</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 978-981168263-6; 978-981168262-9 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Book chapter Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Deb S., Ministry of Youth Affairs and Sport, Rajiv Gandhi National Institute of Youth Development, Government of India, Chennai, India; Dorji N., Faculty of Nursing and Public Health (FNPH), Khesar Gyalpo University of Medical Sciences of Bhutan, Thimphu, Bhutan; Sunny A.M., Department of Applied Psychology, Ministry of Youth Affairs and Sport, Rajiv Gandhi National Institute of Youth Development, Government of India, Chennai, India; Deb S., Department of Psychology, CHRIST (Deemed To Be University), Bengaluru, India Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Book Book Faculty Publications- Book 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 SOCIAL PSYCHOLOGY: Theories and Applications Description An account of the resource This book examines the concept of social psychology in today's context. It analyses the theoretical concepts of social psychology and their applicationto other fields. It further explores the discipline in a cultural, historical, and philosophical context with special emphasis on religion. The volume goes beyond individual focus and directs its attention to society as the centre of influence. It advocates for a symbiotic relationship between the concepts of social psychology and their implementation in a society transitioning from being value-oriented to commerce-oriented. The book also suggests ways in which social psychology can assist in dealing with issues plaguing today's world. This book will be useful to students of psychology, applied psychology, sociology, social work, public health, gender, and women studies. It will also be indispensable to professionals working in the field of paediatrics, forensic medicine, psychiatry, and law enforcement authorities like police and judiciary. 2024 Sibnath Deb, Anjali Gireesan, Pooja Prabhavalkar and Shayana Deb. Creator An entity primarily responsible for making the resource Deb S.; Gireesan A.; Deb S. Source A related resource from which the described resource is derived Social Psychology: Theories and Applications, pp. 1-420. Publisher An entity responsible for making the resource available Taylor and Francis 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/10.4324/9781003460435" target="_blank" rel="noreferrer noopener">https://doi.org/10.4324/9781003460435</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85183254236&doi=10.4324%2F9781003460435&partnerID=40&md5=a3bcd90a02718f6b66507910e10563bb" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85183254236&doi=10.4324%2f9781003460435&partnerID=40&md5=a3bcd90a02718f6b66507910e10563bb</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 978-100382472-5; 978-103252444-3 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Book Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Deb S., Pondicherry University (A Central University), India; Gireesan A., Pondicherry University, India; Deb S., CHRIST (Deemed to be University), Bengaluru, India Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Articles Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource A Cross-Sectional Study on Mental Health of School Students during the COVID-19 Pandemic in India Subject The topic of the resource COVID-19; level based weight assessment (LBWA); mental health; picture fuzzy force field analysis (PF-FFA); school students; social support Description An account of the resource The broad objective of the present study is to assess the levels of anxiety and depression of school students during the COVID-19 lockdown phase and their association with students background, stress, concerns and social support. In this regard, the present study follows a novel two stage approach. In the first phase, an empirical survey was carried out, based on multivariate statistical analysis, wherein a group of 273 school students participated in the study voluntarily. In the second phase, a novel Picture Fuzzy FFA (PF-FFA) method was applied for understanding the dynamics of facilitating and prohibiting factors for three categories of focus groups (FG), formulated on the basis of attendance in online classes. Findings revealed a significant impact of anxiety and depression on mental health. Further, PF-FFA examinedthe impact of the driving forces that steered children to attend class as contrasted to the the impact of the restricting forces. 2022 by the authors. Creator An entity primarily responsible for making the resource Deb S.; Kar S.; Deb S.; Biswas S.; Dar A.A.; Mukherjee T. Source A related resource from which the described resource is derived Data, Vol-7, No. 7 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 2022-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.3390/data7070099" target="_blank" rel="noreferrer noopener">https://doi.org/10.3390/data7070099</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85135704344&doi=10.3390%2Fdata7070099&partnerID=40&md5=c9aca4154ae699eaccc15932e62bbca3" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85135704344&doi=10.3390%2fdata7070099&partnerID=40&md5=c9aca4154ae699eaccc15932e62bbca3</a> Rights Information about rights held in and over the resource All Open Access; Gold Open Access Relation A related resource ISSN: 23065729 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 Deb S., Rajiv Gandhi National Institute of Youth Development, Post Box No. 6, Sriperumbudur Post, Sriperumbudur, 602105, India; Kar S., National Institute of Technology Durgapur, Mahatma Gandhi Rd, A-Zone, Durgapur, 713209, India; Deb S., Department of Psychology, CHRIST (Deemed to Be University, Hosur Rd, Bhavani Nagar, S.G. Palya, Bengaluru, 560029, India; Biswas S., Calcutta Business School, Bishnupur, 743503, India; Dar A.A., Department of Psychology, School of Liberal Arts Social Sciences, SRM University Neeru Konda, Amaravati, 522502, India; Mukherjee T., Department of Psychology, Justus-Liebig University Giessen, Ludwigstra 23, Gien, 35390, Germany 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 Cloud computing security for public cloud using ciphers and queueing petri nets Subject The topic of the resource Cloud Computing; Cryptography Algorithm; Queuing Petri nets; Security Issues Description An account of the resource Cloud computing is the most used word in the domain of Information Technology, which is making colossal differentiations in the IT business. Nowadays, a massive proportion of data is being made, and the masters are discovering better approaches for managing this data. In a general sense, the word cloud implies a virtual database that stores immense data from various clients. There are three sorts of cloud public, private and hybrid. A public cloud is fundamental for general customers where customers can use cloud benefits free or by paying. Private cloud is for explicit associations, and hybrid one is in a broad sense a mix of both. Cloud offers diverse kind of administrations, for instance, IAAS, PAAS, SAAS where administrations like a stage for running any application, getting to the enormous information extra room, can use any application running under the cloud are given. The cloud similarly has a shortcoming concerning the security for the data warehouse. In a general sense, public cloud is inclined to data modification, data hacking and therefore, the integrity and privacy of the data are being undermined. Here in our work our motive is to verify the information that will be taken care of in the public cloud by using the multi-stage encryption. The estimation that we have proposed is a mix of Rail Fence cipher and Play Fair cipher. 2020, IJSTR. Creator An entity primarily responsible for making the resource Deb S.; Kirubanand V.B. Source A related resource from which the described resource is derived International Journal of Scientific and Technology Research, Vol-9, No. 3, pp. 3271-3274. 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-s2.0-85082521157&partnerID=40&md5=7a3f48f44edef66ddc52f882e2e4a699" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85082521157&partnerID=40&md5=7a3f48f44edef66ddc52f882e2e4a699</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 Deb S., MCA Department, CHRIST (Deemed to be University), Bangalore, India; Kirubanand V.B., 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 School corporal punishment, family tension, and students internalizing problems: Evidence from India Subject The topic of the resource adolescents; India; internalizing problems; mental health; resilience; school corporal punishment Description An account of the resource There is considerable evidence that parental corporal punishment (CP) is positively associated with childrens behavioral and mental health problems. However, there is very little evidence addressing whether CP perpetrated by teachers or school staff is similarly associated with problematic student functioning. To address this gap in the research literature, data were collected from students in a locale where school CP continues to be widely practiced. Participants were 519 adolescents attending public or private schools in Puducherry, a city in eastern India. Students completed surveys assessing school CP, internalizing problems, social support, and resilience. The results indicated that 62% of the students reported experiencing school CP in the past 12 months, with males and those attending public schools being significantly more likely to report school CP than females and those in private schools. Youth who reported school CP reported more anxiety and depression. That relation was more pronounced in youth who reported family tension. Social support and resilience did not moderate the relations. The findings add to the substantial evidence about negative associations regarding the use of CP but in a new venuethe school, and provide some evidence for the need to change how students are disciplined in schools in India and elsewhere. 2016, The Author(s) 2016. Creator An entity primarily responsible for making the resource Deb S.; Kumar A.; Holden G.W.; Simpson Rowe L. Source A related resource from which the described resource is derived School Psychology International, Vol-38, No. 1, pp. 60-77. Publisher An entity responsible for making the resource available SAGE Publications Ltd Date A point or period of time associated with an event in the lifecycle of the resource 2017-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1177/0143034316681378" target="_blank" rel="noreferrer noopener">https://doi.org/10.1177/0143034316681378</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85012164018&doi=10.1177%2F0143034316681378&partnerID=40&md5=ab9b78846dba8ade7a6b2cc7bcd10f80" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85012164018&doi=10.1177%2f0143034316681378&partnerID=40&md5=ab9b78846dba8ade7a6b2cc7bcd10f80</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 1430343 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 Deb S., Pondicherry University, India; Kumar A., Christ University, India; Holden G.W., Southern Methodist University, Dallas, TX, United States; Simpson Rowe L., Southern Methodist University, Dallas, 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 Youth of North East States of India: Issues, Concerns and Need for Mental Health Support as Perceived by NCC Officers Subject The topic of the resource Issues and concerns; mental health; NCC officers; North-East states of India; Youth Description An account of the resource The youth of North-East India are in disadvantaged situations as compared to youth from the rest of the country in all respects. The objective of this article was to examine the views of the NCC Officers of North-East states about youth welfare in the region as they have first-hand experience in dealing with youth. Participants views were obtained on-line, by using a Semi-structured Questionnaire in the form of Google Form. A group of 142 NCC Officers provided feedback. Data collected were subjected to thematic analysis. Findings disclosed that youth of North-East states experience a range of challenges including poverty, lack of internet facilities, inability to attend NCC camps due to ongoing classes, substance dependence, lack of guidance and support leading to dropout and lack of values. The NCC Officers opined that a good number of North-East youths require mental health support and career guidance, in addition to mental health awareness. 2023 Taylor & Francis Group, LLC. Creator An entity primarily responsible for making the resource Deb S.; Paul P.D.; Deb S.; Soni S. Source A related resource from which the described resource is derived Child and Youth Services, Vol-45, No. 1, pp. 95-115. Publisher An entity responsible for making the resource available Routledge 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/10.1080/0145935X.2023.2286974" target="_blank" rel="noreferrer noopener">https://doi.org/10.1080/0145935X.2023.2286974</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85179683899&doi=10.1080%2F0145935X.2023.2286974&partnerID=40&md5=f4ecac321446d6b45a5a87fa3ca2d454" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85179683899&doi=10.1080%2f0145935X.2023.2286974&partnerID=40&md5=f4ecac321446d6b45a5a87fa3ca2d454</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 0145935X 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 Deb S., Rajiv Gandhi National Institute of Youth Development, Tamil Nadu, Sriperumbudur, India; Paul P.D., Rajiv Gandhi National Institute of Youth Development, Tamil Nadu, Sriperumbudur, India, Centre for Training Orientation and Capacity Building, Rajiv Gandhi National Institute of Youth Development, Tamil Nadu, Sriperumbudur, India; Deb S., Department of Psychology, CHRIST (Deemed to be University), Karnataka, Bengaluru, India; Soni S., Indian Institute of Technology, Telangana, Hyderabad, India