225 20 11858 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Articles Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Augmented Reality-Enabled Education for Middle Schools Subject The topic of the resource Augmented reality; Education; Mobile application Description An account of the resource Augmented reality acts as an add-on to teachers while teaching students, and this helps the teachers and students to have an interactive session. Augmented realitys usage in education is cited as one of the major changes in the educational sector. Thus, the work carried out makes a positive impact in the educational industry. Augmented reality provides features like image recogntion, motion tracking, facial recognition, plane detection, etc., to provide interactive sessions. Simultaneous localization and mapping and concurrent odometry and mapping have proved to be efficient algorithms for augmented reality on mobile devices. The work carried out allows students to view interactive newspapers while reading a specific article. It also allows them to view a dynamic three-dimensional model of the solar system on their smartphone using augmented reality. 2020, Springer Nature Singapore Pte Ltd. Creator An entity primarily responsible for making the resource Kapoor V.; Naik P. Source A related resource from which the described resource is derived SN Computer Science, Vol-1, No. 3 Publisher An entity responsible for making the resource available Springer Date A point or period of time associated with an event in the lifecycle of the resource 2020-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1007/s42979-020-00155-6" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/s42979-020-00155-6</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85115781209&doi=10.1007%2Fs42979-020-00155-6&partnerID=40&md5=380fb368c0201baac74c5dc64106c942" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85115781209&doi=10.1007%2fs42979-020-00155-6&partnerID=40&md5=380fb368c0201baac74c5dc64106c942</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 2662995X 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 Kapoor V., Department of Computer Science and Engineering, CHRIST (Deemed to be University), Bangalore, India; Naik P., Department of Computer Science and Engineering, 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 Developing a global sustainable electricity use index using the pressure-state-response framework Subject The topic of the resource Electricity; Entropy; PSR framework; Sustainable electricity use Description An account of the resource This study analyse and compare the sustainable electricity usage in 60 countries listed on the official websites of World Energy Consumption Statistics and Climate Bond Initiative. The study also analyses the impact of increased usage of sustainable electricity on the economies' dependence on non-renewable energy sources in the evaluation system. We used a standard index system based on the Pressure-State Response (PSR) model to measure global sustainable electricity usage. Model results convey that Norway is the best performer in sustainable electricity usage, while several European countries display commendable scores, confirming their commitment to sustainable electricity practices. On the other hand, despite being the leading economies in terms of GDP, major economies such as the United States, China, Japan, and India have underperformed compared to others in the evaluation system. The study employs regression techniques to explain the relationship between sustainable electricity usage and non-renewable energy dependence. Results confirm a negative relationship between the variables, indicating the role of sustainable energy practices in reducing fossil fuel consumption. It emphasizes the urgency of a balanced approach to economic growth and natural resource usage to support a green future. 2024 Elsevier Ltd Creator An entity primarily responsible for making the resource Kappil S.R.; Aneja R.; Verma A. Source A related resource from which the described resource is derived Utilities Policy, Vol-91 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 2024-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1016/j.jup.2024.101826" target="_blank" rel="noreferrer noopener">https://doi.org/10.1016/j.jup.2024.101826</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85204736103&doi=10.1016%2Fj.jup.2024.101826&partnerID=40&md5=85c912b30bc32376b60bf7a5663fee1b" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85204736103&doi=10.1016%2fj.jup.2024.101826&partnerID=40&md5=85c912b30bc32376b60bf7a5663fee1b</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 9571787 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 Kappil S.R., Department of Data Science, Christ University, Karnataka, Bangalore, India; Aneja R., Department of Economics, Central University of Haryana, Mahendergarh, India; Verma A., Department of Economics, Central University of Haryana, Mahendergarh, 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 Relative Efficiencies of Farmer Producer Companies in India- Slack-Based Model Approach Subject The topic of the resource Farmer producer companies; Kerala; Slack-based measures Description An account of the resource The concept of the farmer producer company (FPC) model has received a large momentum especially during the 20202021 farmers' protest in India. This paper examines the relative efficiencies of 46 FPCs in Kerala using non-radial data envelopment analysis (DEA) for the financial year 2018-19. We use a non-oriented slack-based model (SBM) under assumptions of constant and variable returns to scale. The results reveal that 36.96 per cent of the sample FPCs are overall technical efficient and 50 per cent of the FPCs are pure technical efficient. It is found that technical inefficiency is reported for a few FPCs due to scale inefficiency. Among the input and output targets suggested for inefficient FPCs, reduction in the 'number of shareholders' and augmentation of 'profits' reported in most cases to improve their efficiency scores. Based on the findings, we suggest the concerned stakeholders to provide additional financial and non-financial supports to the needy rather than focusing on establishing new FPCs. 2022 IEEE. Creator An entity primarily responsible for making the resource Kappil S.R.; Kumar Sahoo A.; Samuel L.C. Source A related resource from which the described resource is derived Proceedings - 2022 4th International Conference on Advances in Computing, Communication Control and Networking, ICAC3N 2022, pp. 108-114. 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/ICAC3N56670.2022.10074574" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ICAC3N56670.2022.10074574</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85152189416&doi=10.1109%2FICAC3N56670.2022.10074574&partnerID=40&md5=cf82084709d7061672fe5138d53b5bfc" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85152189416&doi=10.1109%2fICAC3N56670.2022.10074574&partnerID=40&md5=cf82084709d7061672fe5138d53b5bfc</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 978-166547436-8 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 Kappil S.R., Central University of Haryana, Department of Economics, India; Kumar Sahoo A., Central University of Haryana, Department of Economics, India; Samuel L.C., Department of Data 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 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 Efficiency study of coconut producer companies in India-A DEA approach Subject The topic of the resource DMU; EBITDA; FPC Model; Technical Efficiency Description An account of the resource The concept of the Farmer Producer Company (FPC) model has been a hot issue, especially during the 2020-21 Indian farmers' protest. Considering the pioneering initiatives of the Coconut Development Board (CDB) in setting up CPCs, we compare the technical efficiencies of CPCs that focus on coconut and its byproducts in Rural India for two consecutive financial years (2018-19 and 2019-20). Coconut Producer Companies' efficiency scores are estimated using Data Envelopment Analysis (DEA), a mathematical technique to assess technical efficiencies across homogeneous units. The results reveal that 35.11 percent of the sampled CPCs for FY 2018-19 are overall technical efficient, and approximately 76 percent are purely technical efficient. It is found that technical inefficiency is reported for a few CPCs due to scale inefficiency. The overall technical and pure technical efficiency have improved in FY 2019-20 compared to the previous period. 2024 Srinesh Thakur, Anvita Electronics, 16-11-762, Vijetha Golden Empire, Hyderabad. Creator An entity primarily responsible for making the resource Kappil S.R.; Sahoo A.K.; Joseph A. Source A related resource from which the described resource is derived Emerging Trends and Innovations in Industries of the Developing World: A Multidisciplinary Approach, pp. 7-13. 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 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-s2.0-85174142350&partnerID=40&md5=85f1ab376973624bf85ed2598151ecba" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85174142350&partnerID=40&md5=85f1ab376973624bf85ed2598151ecba</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 978-100381954-7; 978-103260103-8 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Book chapter Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Kappil S.R., Central University of Haryana, India; Sahoo A.K., Central University of Haryana, India; Joseph A., CHRIST (Deemed to be University), India Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource 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 Depth Wise Separable Convolutional Neural Network with Context Axial Reverse Attention Based Sentiment Analysis on Movie Reviews Subject The topic of the resource Bag-Of-Words and Term Frequency-Inverse Document Frequency; Bowerbird Optimization Algorithm; Depth Wise Separable Convolutional Neural Networks with Context Axial Reverse Attention Network; Sentiment Analysis Description An account of the resource Sentiment Analysis (SA) in movie reviews involves using natural language processing techniques to determine the sentiment expressed in reviews. This analysis helps in understanding the overall audience sentiment towards a movie, categorizing reviews as positive, negative, or neutral. It's useful for filmmakers, marketers, and audiences. The existing methods does not provide sufficient accuracy, error rate and complexity was increased. To overcome the aforementioned problem, Depth Wise Separable Convolutional Neural Networks with Context Axial Reverse Attention Network (DWSCNN-CARAN) is proposed for accurately classifying SA in movie reviews. In this input image is taken from two datasets such as IMDB dataset and Polarity dataset. The pre-processing is done using six steps namely, Cleaning, Tokenization, Case Folding, Normalization, Stop Word Elimination, and Stemming for the purpose of removing noises. Following that feature extraction are done using Bag-Of-Words and Term Frequency-Inverse Document Frequency (BOW-TF-IDF). After that classification are done using Depth Wise Separable Convolutional Neural Networks with Context Axial Reverse Attention Network (DWSCNN-CARAN)for classifying the AS in movie reviews. The efficiency of the proposed DWSCNN-CARAN-BOA is analyzed using a dataset and attains 99.94% accuracy, 98.76% recall and attains better results compared with the existing methods. In the future, this approach will use the adversarial instances it generated to conduct adversarial training and assess the potential improvement in classification performance. It also looks into the possibilities of creating adversarial examples at the word and sentence levels by combining structured knowledge from high-quality knowledge bases. 2024 IEEE. Creator An entity primarily responsible for making the resource Kapruwan A.; Pandey P.; Tripathi A.P.; Dhaundiyal P.; Patil H.; Maranan R. Source A related resource from which the described resource is derived 4th International Conference on Sustainable Expert Systems, ICSES 2024 - Proceedings, pp. 651-657. Publisher An entity responsible for making the resource available Institute of Electrical and Electronics Engineers Inc. Date A point or period of time associated with an event in the lifecycle of the resource 2024-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/ICSES63445.2024.10763067" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ICSES63445.2024.10763067</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85214783688&doi=10.1109%2FICSES63445.2024.10763067&partnerID=40&md5=ec20b8acf81337abae00768f2939bc2b" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85214783688&doi=10.1109%2fICSES63445.2024.10763067&partnerID=40&md5=ec20b8acf81337abae00768f2939bc2b</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 979-833154036-4 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Conference paper Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Kapruwan A., Graphic Era Deemed to be University, Department of Computer Science & Engineering, Uttarakhand, Dehradun, 248002, India; Pandey P., Akgec Ghaziabad, Department of Mca, Uttar Pradesh, Ghaziabad, 201001, India; Tripathi A.P., School of Business & Management (SBM), Christ (Deemed to be University), Delhi NCR campus, Uttar Pradesh, Ghaziabad, 201003, India; Dhaundiyal P., School of Business & Management (SBM), Christ (Deemed to be University), Delhi NCR campus, Uttar Pradesh, Ghaziabad, 201003, India; Patil H., School of Computer Science & Engineering, Iilm University, Uttar Pradesh, Greater Noida, 201306, India; Maranan R., Saveetha School of Engineering, Simats, Department of Research and Innovation, Tamil Nadu, Chennai, 602105, 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 Comparative Study of Pollution Levels in Major Cities of India During Covid-19 in India Subject The topic of the resource CO; Covid-19; NO; NO2; NOx; Ozone; PM10; PM2.5; pollutants; SO2 Description An account of the resource This paper aims to study the major pollutants of the four metro cities of India before and after covid 19 first wave. The cities considered for the study are Bangalore, Delhi, Mumbai, and Kolkata. The major pollutants considered for the study are PM2.5, PM10, NO, NO2, NOx, SO2, CO, and Ozone. The basic aim of the study is to find the effect of lockdown and covid restrictions on the level of pollutants across the four major cities of India. We used both parametric and non-parametric tests for the analysis using SPSS. From the study, it is clear that there is a significant decrease in all the major pollutants across India's major cities.6. 2023, University of Wollongong. All rights reserved. Creator An entity primarily responsible for making the resource Kapse M.; Akhil B.; Elangovan N.; Sharma V.; Rajagopal K. Source A related resource from which the described resource is derived Australasian Accounting, Business and Finance Journal, Vol-17, No. 1, pp. 247-255. Publisher An entity responsible for making the resource available University of Wollongong 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/10.14453/aabfj.v17i1.16" target="_blank" rel="noreferrer noopener">https://doi.org/10.14453/aabfj.v17i1.16</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85147996036&doi=10.14453%2Faabfj.v17i1.16&partnerID=40&md5=72a41bcb6fe476236ccc61dc5e6bb0c0" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85147996036&doi=10.14453%2faabfj.v17i1.16&partnerID=40&md5=72a41bcb6fe476236ccc61dc5e6bb0c0</a> Rights Information about rights held in and over the resource All Open Access; Gold Open Access Relation A related resource ISSN: 18342000 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 Kapse M., Symbiosis Centre for Management and Human Resource Development (SCMHRD), Symbiosis International University, Pune, India; Akhil B., IBM-India, Bangalore, India; Elangovan N., School of Business and Management, Christ University (Deemed University), Bangalore, India; Sharma V., Symbiosis Centre for Management and Human Resource Development (SCMHRD), Symbiosis International University, Pune, India; Rajagopal K., Symbiosis Centre for Management and Human Resource Development (SCMHRD), Symbiosis International University, 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 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 Cultural quotient: Evolving culturally intelligent business scholar-practitioners Description An account of the resource Analytical competency is an essential skill when it comes to the present-day business scenario of the world. However, these days we see a shift in the business needs when it comes to working in a globalized environment. Not only is the intelligence quotient (IQ) looked at but organizations these days are in pursuit of individuals who have another side to their profile - the culturally intelligent side (assessed using the cultural quotient). The need of such a skill can be attributed to the fact that organizations are now churning out their human side of addressing the employees when it comes to ensuring that they blend in the organization with ease. Acquiring a workforce which possesses high cultural intelligence can be a tough task; however, training employees to become culturally competent can be a doable task. Like any other personality trait which can be imbibed over time through constant analysis and observation, cultural competency is one such area which may be cultivated through various methodologies and practices. 2018, IGI Global. Creator An entity primarily responsible for making the resource Kapse M.; Bhattacharjee S.; Raj P. Source A related resource from which the described resource is derived Handbook of Research on Cross-Cultural Business Education, pp. 325-339. Publisher An entity responsible for making the resource available IGI Global Date A point or period of time associated with an event in the lifecycle of the resource 2018-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.4018/978-1-5225-3776-2.ch015" target="_blank" rel="noreferrer noopener">https://doi.org/10.4018/978-1-5225-3776-2.ch015</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85143961305&doi=10.4018%2F978-1-5225-3776-2.ch015&partnerID=40&md5=3adad865a15f436077dc323fd67cc511" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85143961305&doi=10.4018%2f978-1-5225-3776-2.ch015&partnerID=40&md5=3adad865a15f436077dc323fd67cc511</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 978-152253777-9; 978-152256144-6 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 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 Kapse M., Christ University, India; Bhattacharjee S., Christ Institute of Management, India; Raj P., Christ Institute of Management, 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 Using Analytics to Measure the Impact of Pollution Parameters in Major Cities of India Subject The topic of the resource Air pollution; CO; COVID-19; Economic activity; Infection rate; NO; NO2; NOx; Ozone; PM10; PM2.5; Population density; SO2 Description An account of the resource Coronavirus is airborne and can spread easily. Air pollution may have an impact on breathing and also keep the virus airborne. The levels of air pollution were impacted by the lockdown measures, restricting the vehicular and industrial pollutants. Therefore, there is a need to understand the relation between air pollution levels and the Coronavirus infection rate. The study aims to find the effect of various pollutants across major cities of India on the R-value. The pollution data was collected from the Governments official portal. The major pollutants on which the data was collected are PM2.5, PM10, NO, NO2, NOx, SO2, CO, and Ozone. The data on air pollution levels were also collected for the selected cities from April 2020 to April 2021. The spread is measured as the reproduction number at time t (Rt), which is an estimate of infectious disease transmissibility throughout an outbreak, or it is the rating of Coronavirus or any diseases ability to spread. The data is analysed using MS Excel and R Programming. Descriptive statistics and regularisation are performed on the data. The study results reveal that some pollutants positively and negatively affect the infection rate. However, the effect is very low, and it concluded that the pollution might not directly affect infection rates. The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2023. Creator An entity primarily responsible for making the resource Kapse M.; Elangovan N.; Kumar A.; Selvam J.D. Source A related resource from which the described resource is derived Analytics Enabled Decision Making, pp. 265-280. 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 2023-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1007/978-981-19-9658-0_12" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-981-19-9658-0_12</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85171519258&doi=10.1007%2F978-981-19-9658-0_12&partnerID=40&md5=aeb756e8d199e753234c913285d38383" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85171519258&doi=10.1007%2f978-981-19-9658-0_12&partnerID=40&md5=aeb756e8d199e753234c913285d38383</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 978-981199658-0; 978-981199657-3 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 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 Kapse M., Symbiosis Center for Management and Human Resource Development, Symbiosis International (Deemed University), Pune, India; Elangovan N., CHRIST (Deemed to Be University), Bengaluru, India; Kumar A., Tata Consultancy Services, Bengaluru, India; Selvam J.D., CHRIST (Deemed to Be University), Bengaluru, India Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Book Chapter Book Chapter Faculty Publications- Book Chapter Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource A Comparative Analysis of Machine Learning Algorithms for Image Classification: Evaluating Performance Subject The topic of the resource AdaBoost; Artificial Neural Networks (ANN); Decision tree; Image classification; k-Nearest Neighbour (kNN); Logistic regression; Machine learning; Nae Bayes; Random forest; Support Vector Machine (SVM) Description An account of the resource Image classification plays a crucial role in various applications, and selecting the most effective machine learning algorithm is essential for achieving accurate results. In this study, we conducted a comparative analysis of several well-known supervised machine learning techniques, including logistic regression, support vector machine (SVM), k-nearest neighbours (kNN), nae Bayes, decision trees, random forest, AdaBoost, and artificial neural networks (ANN). To assess the performance of these algorithms, we utilised different fonts of the English alphabet as our dataset and performed the analysis using the R programming language. We evaluated the algorithms based on standard performance criteria, such as the area under the Receiver Operating Characteristic curve (ROC), accuracy, F1 score, precision, and recall. Our research findings demonstrated that the classification performance varied depending on the training size of the dataset. Notably, as the training size increased, neural networks exhibited superior performance compared to other machine learning techniques. Consequently, we conclude that neural networks and SVM are the most effective algorithms for image classification based on our study. By conducting this comprehensive analysis, we contribute valuable insights into selecting appropriate machine learning algorithms for image classification tasks. Our findings emphasise the significance of considering the training dataset size and highlight the advantages of neural networks and SVM in achieving high classification accuracy. This study provides valuable guidance for practitioners and researchers in choosing the most suitable machine learning algorithm for image classification, considering their specific requirements and dataset characteristics. The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024. Creator An entity primarily responsible for making the resource Kapse M.; Elangovan N.; Lalkiya M.; Deshpande A. Source A related resource from which the described resource is derived Data-Driven Decision Making, pp. 59-75. 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 2024-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1007/978-981-97-2902-9_3" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-981-97-2902-9_3</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85215969257&doi=10.1007%2F978-981-97-2902-9_3&partnerID=40&md5=4cb4e5f6c90b9e4b06296fea5bee18e7" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85215969257&doi=10.1007%2f978-981-97-2902-9_3&partnerID=40&md5=4cb4e5f6c90b9e4b06296fea5bee18e7</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 978-981972902-9; 978-981972901-2 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 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 Kapse M., Symbiosis Centre for Management and Human Resource Development, Symbiosis International (Deemed University), Pune, India; Elangovan N., School of Business and Management, CHRIST (Deemed to Be University), Bangalore, India; Lalkiya M., Bangalore, India; Deshpande A., Indira School of Business Studies, PGDM, 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 Classifying voice-based customer query using machine learning technique Subject The topic of the resource Feature extraction; Stemming; Tokenization; Vectorization; Voice recognition Description An account of the resource Timely attention to issues raised by customers is critical. It is imperative that the average handling time is lesser, which in turn contributes to productivity. It was found from the data from the banking industry in the US that, on average, a customer service call last for seven minutes. The first two minutes are for the call to get redirected to the respective team. This study investigates a method using machine learning to classify and redirect the customers into the respective department directly based on their initial voice response or voice message. It will substantially reduce the service time. CRISP-DM methodology is being used to design the process of the study. The most frequently occurring issues and the department to which they are associated are created through machine learning from the dataset that contained product reviews and metadata of different issues. The programming languages that are used in this study are Python, HTML and Java. An interface is created by using HTML, which makes it quite user-friendly. The study tests the effectiveness of converting voice to text and interprets which department the call should be transferred to address the issue. A support vector machine and a logistic regression model were used for the prediction, and it was found that the models provided an accuracy of 83 and 84 percent, respectively. The study proves that using ML and voice recognition reduces the average handling time. 2021 Ecological Society of India. All rights reserved. Creator An entity primarily responsible for making the resource Kapse M.; Elangovan N.; Varghese A.; Joy A.; Tom C. Source A related resource from which the described resource is derived Indian Journal of Ecology, Vol-48, pp. 69-72. 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-s2.0-85113799410&partnerID=40&md5=44e4f957c86c2241c77b893bc18806d9" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85113799410&partnerID=40&md5=44e4f957c86c2241c77b893bc18806d9</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 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 Kapse M., School of Business and Management, Christ (Deemed to be University, Bengaluru, 560 029, India; Elangovan N., School of Business and Management, Christ (Deemed to be University, Bengaluru, 560 029, India; Varghese A., School of Business and Management, Christ (Deemed to be University, Bengaluru, 560 029, India; Joy A., St Joseph's College of Arts and Science (Autonomous), Bengaluru, 660 027, India; Tom C., St Joseph's College of Arts and Science (Autonomous), Bengaluru, 660 027, 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 Using Academic Performance Indicator to Evaluate the Cost to Company of Management Graduates Subject The topic of the resource Elastic Net; Multiple Regression Analysis; R Software; Residual Analysis; Ridge and Lasso Regression Description An account of the resource As the placement season hits CBS Business School, India, the pressure to get placed is at its peak. As the placement season draws to a close, the unplaced students storm the Directors office complaining about unfair treatment in the process. They lay blame on the random shortlisting followed by the Placement co-ordinator. Concerned with these allegations, the Director calls on faculty to investigate the situation. During the conversation one of the students, Rachit, expresses regret in not focusing solely on academics and instead on developing a more well-rounded profile. He feels that that is the reason for his failure to get placed. A fundamental question arises of how closely academic performance and Cost to Company (CTC) are related. Data is collected to examine the validity of the long-held belief that higher academic performance leads to higher paying job placement. 2022 NeilsonJournals Publishing. Creator An entity primarily responsible for making the resource Kapse M.; Kaul N.; Poulose J.; Sharma V.; Bhattacharjee S. Source A related resource from which the described resource is derived Journal of Organizational Behavior Education, Vol-15, pp. 47-50. Publisher An entity responsible for making the resource available NeilsonJournals Publishing 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="" target="_blank" rel="noreferrer noopener"></a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85158143186&partnerID=40&md5=fa732e80b35c288085183d5d621540fb" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85158143186&partnerID=40&md5=fa732e80b35c288085183d5d621540fb</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 16497627 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 Kapse M., Symbiosis Centre for Management and Human Resource Development (SCMHRD), Symbiosis International (Deemed University), Pune, India; Kaul N., Symbiosis Centre for Management and Human Resource Development (SCMHRD), Symbiosis International (Deemed University), Pune, India; Poulose J., School of Business and Management, CHRIST (Deemed to be University), NCR, Delhi, India; Sharma V., Symbiosis Centre for Management and Human Resource Development (SCMHRD), Symbiosis International (Deemed University), Pune, India; Bhattacharjee S., School of Management, Presidency 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 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 Unsupervised Feature Selection Approach for Smartwatches Subject The topic of the resource Conjoint analysis; Laplacian score; Multi-cluster; Smartwatch; Spectral; Unsupervised Feature Selection Description An account of the resource Traditional feature selection methods can be time-consuming and labor-intensive, especially with large datasets. This studys unsupervised feature selection approach can automate the process and help identify important features preferred by a particular segment of users. The unsupervised feature selection method is applied for smartwatches. Smartwatches continue to gain popularity. It is important to understand which features are most important to users to design and develop smartwatches that are more engaging, user-friendly, and meet the needs and preferences of their target audience. The rapid pace of technological innovation in the smartwatch industry means that new features and functionalities are constantly being developed. Multi-cluster feature selection, Laplacian score, and unsupervised spectral feature are used. Conjoint analysis is done on the most common features in all three selection methods. The unsupervised feature selection technique is used for identifying the relevant and important features of new smartwatch users.The practical implication of the research is in the application of the technique in the new product design of smartwatches. The result of the study also informs smartwatch manufacturers and developers on the features they need to prioritize and invest in. This can ultimately result in better and more user-friendly smartwatches and a good overall experience for the user. The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024. Creator An entity primarily responsible for making the resource Kapse M.; Sharma V.; Elangovan N.; Gupta S. Source A related resource from which the described resource is derived Lecture Notes in Networks and Systems, Vol-869 LNNS, pp. 467-481. 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/10.1007/978-981-99-9040-5_35" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-981-99-9040-5_35</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85190375622&doi=10.1007%2F978-981-99-9040-5_35&partnerID=40&md5=80ea41d518bcd9f20336a403aabb36b0" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85190375622&doi=10.1007%2f978-981-99-9040-5_35&partnerID=40&md5=80ea41d518bcd9f20336a403aabb36b0</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 23673370; ISBN: 978-981999039-9 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 Kapse M., Symbiosis Centre for Management and Human Resource Development, Symbiosis International (Deemed University), Pune, India; Sharma V., Symbiosis Centre for Management and Human Resource Development, Symbiosis International (Deemed University), Pune, India; Elangovan N., School of Business Management, Christ University, Karnataka, Bangalore, India; Gupta S., Prestige Institute of Management and Research, Madhya Pradesh, Indore, 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 Consumer's Brand Switching Behaviour for Cell Phones Subject The topic of the resource Management Description An account of the resource The IUP Journal of Marketing Management, ICFAI, Vol. XV, Issue 4, ISSN No. 0972-6845 Creator An entity primarily responsible for making the resource Kapse, Manohar Publisher An entity responsible for making the resource available The IUP Journal of Marketing Management Date A point or period of time associated with an event in the lifecycle of the resource 2016 Language A language of the resource English Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Articles Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource An Expected Model of Management Program in India Subject The topic of the resource Management Description An account of the resource Pravara Management Review, Vol 15, Issue 2, pp. 17-23, ISSN No. 0975-7201 Creator An entity primarily responsible for making the resource Kapse, Manohar Publisher An entity responsible for making the resource available Pravara Management Review Date A point or period of time associated with an event in the lifecycle of the resource 2012 Language A language of the resource English Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Conference Papers Conference Paper Faculty Publications- Conference Papers Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource A Predictive Modelling of Factors Influencing Job Satisfaction Through a CNN-BiGRU Algorithm Subject The topic of the resource Bidirectional Gating Recurrent Unit (BiGRU); Convolutional Neural Network (CNN); Long short Term Memory (LSTM) Description An account of the resource The fields of humanities, psychology, and sociology are where the word 'job satisfaction' originated. According to psychology, it is a condition in which a worker experiences his circumstances emotionally and responds by experiencing either pleasure or suffering. It is regarded as a variable in various sociological categories pertaining to how each employee assesses and thinks about his work. Because a satisfied employee contributes to and builds upon an organization's success, job satisfaction is intimately tied to an employee's performance and the quality of the work they do. As a result, job satisfaction directly correlates to an organization's success. The proposed strategy incorporates data preprocessing, feature selection, and model training. The missing value is a common feature of data preparation. Feature selection is chosen using the ANOVA F-Test Filter, the Chi-Square Filter, and the full Data Set Construction procedure. The model's efficacy can be evaluated with the help of CNN-BiGRU. The proposed technique is compared to two more models: BiGRU and CNN. It has been shown that our proposed technique outperforms two other models. 2023 IEEE. Creator An entity primarily responsible for making the resource Kar R.; Renjith Krishnan K.; Antony P.; Rashmi B.H.; Padmapriya S.; Unni M.V. Source A related resource from which the described resource is derived International Conference on Self Sustainable Artificial Intelligence Systems, ICSSAS 2023 - Proceedings, pp. 68-73. 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/ICSSAS57918.2023.10331757" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ICSSAS57918.2023.10331757</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85181163473&doi=10.1109%2FICSSAS57918.2023.10331757&partnerID=40&md5=2993a1258d288e148441506558f66966" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85181163473&doi=10.1109%2fICSSAS57918.2023.10331757&partnerID=40&md5=2993a1258d288e148441506558f66966</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 979-835030085-7 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 Kar R., St. Claret College, Department of Management, Bangalore, India; Renjith Krishnan K., College of Economics and Business Administration, University of Technology and Applied Sciences, Shinas, Oman; Antony P., Jyoti Nivas College Autonomous, Department of Mba, Bangalore, India; Rashmi B.H., School of Business and Management, Christ University, Bangalore, India; Padmapriya S., Christ University, Department of Commerce, Bangalore, India; Unni M.V., St. Claret College, Department of Management, 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 Detection of high-frequency pulsation in WR135: Investigation of stellar wind dynamics Description An account of the resource We report the detection of high-frequency pulsations in WR 135 from short-cadence (10 minute) optical photometric and spectroscopic time series surveys. The harmonics up to the sixth order are detected from the integrated photometric flux variations, while the comparatively weaker eighth harmonic is detected from the strengths of the emission lines. We investigate the driving source of the stratified winds of WR 135 using the radiative transfer modeling code, CMFGEN, and find the physical conditions that can explain the propagation of such pulsations. From our study, we find that the optically thick subsonic layers of the atmosphere are close to the Eddington limit and are launched by the Fe opacity. The outer optically thin supersonic winds (Tross = 0.1 0.01) are launched by the He II and C IV opacities. The stratified winds above the sonic point undergo velocity perturbation that can lead to clumps. In the optically thin supersonic winds, dense clumps of smaller size (fVFF = 0.27 0.3, where fVFF is the volume filling factor) pulsate with higher-order harmonics. The larger clumps (fVFF = 0.2) oscillate with lower-order harmonics of the pulsation and affect the overall wind variability. 2024. The Author(s). Creator An entity primarily responsible for making the resource Kar S.; Das R.; Mathew B.; Baug T.; Mandal A. Source A related resource from which the described resource is derived Astronomical Journal, Vol-168, No. 5 Publisher An entity responsible for making the resource available American Astronomical Society 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/10.3847/1538-3881/ad77d0" target="_blank" rel="noreferrer noopener">https://doi.org/10.3847/1538-3881/ad77d0</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85206939456&doi=10.3847%2F1538-3881%2Fad77d0&partnerID=40&md5=f5775b75913ad58d4631e52dbd7818bc" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85206939456&doi=10.3847%2f1538-3881%2fad77d0&partnerID=40&md5=f5775b75913ad58d4631e52dbd7818bc</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: 46256 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 Kar S., S.N. Bose National Centre for Basic Sciences, Kolkata, 700106, India; Das R., S.N. Bose National Centre for Basic Sciences, Kolkata, 700106, India; Mathew B., Department of Physics and Electronics, Christ University, Bangalore, 560029, India; Baug T., S.N. Bose National Centre for Basic Sciences, Kolkata, 700106, India; Mandal A., S.N. Bose National Centre for Basic Sciences, Kolkata, 700106, 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 Student engagement in community development: A strategy for whole-person development Subject The topic of the resource Community development; Student engagement; Volunteerism; Whole-person development Description An account of the resource Student engagement in community development has been closely linked to enhanced learning outcomes and whole-person development. The Centre for Social Action (CSA) at Christ University emerged as a student-led student-driven initiative to promote volunteerism and engagement in community development that enabled the student community to identify and work on development initiatives. The objective of the chapter is to examine the factors that influence student engagement in community development initiatives and explore the factors that motivate them to volunteer. It also looks at their perception of the benefits for the two main stakeholders in the process, namely the students themselves and the community that they work with. This chapter uses a qualitative framework, and the data is collected through in-depth interviews and focus group discussions with current and past volunteers with CSA. The participants in the study have been selected using purposive sampling techniques and represent students who have worked on the major initiatives undertaken by CSA, namely the activity centre and the various social awareness and sensitization initiatives. The interviews and the focus group discussions have been conducted on virtual meeting platforms, and the data has been analyses thematically. The research design lends itself to a rich exploration of student perception of their engagement in community development, their motivation, the benefits that they perceive of their engagement with the activities for both themselves and other stakeholders, and how it ties into the construct of whole-person development at the individual level and whole-person education at a broader level. 2024 Nova Science Publishers, Inc. Creator An entity primarily responsible for making the resource Kar S.M.; George J.; Jiby Jose E. Source A related resource from which the described resource is derived Models for Social Responsibility Action by Higher Education Institutions, pp. 247-264. Publisher An entity responsible for making the resource available Nova Science Publishers, 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="" target="_blank" rel="noreferrer noopener"></a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85183082874&partnerID=40&md5=2b44917492727e537f10f8dec7137f81" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85183082874&partnerID=40&md5=2b44917492727e537f10f8dec7137f81</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 979-889113251-1; 979-889113097-5 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Book chapter Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Kar S.M., Christ University, Bengaluru, India; George J., Christ University, Bengaluru, India; Jiby Jose E., Christ University, Bengaluru, India Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource 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 Predicting Price Direction of Bitcoin based on Hybrid Model of LSTM and Dense Neural Network Approach Subject The topic of the resource Bitcoin; Dense Neural Network (DNN); Normalization Description An account of the resource Bitcoin is a rapidly growing but extremely risky cryptocurrency. It marks a watershed moment in the history of cash. These days, digital currency is preferred to actual money. Bitcoin has decentralized authority and placed it in the hands of its users. Many people are joining the largest and most well-known Bitcoin mining pools as the risk of working alone is too great. In order to enhance their chances of creating the next block in the Bitcoins blockchain and decrease the mining reward volatility, users can band together to form Bitcoin pools. This tendency toward consolidation may also be seen in the rise of large-scale mining farms equipped with powerful mining resources and speedy processing capability. Because of the risk of a 51% assault, this pattern shows that Bitcoin's pure, decentralized protocol is moving toward greater centralization in its distribution network. Not to be overlooked is the resulting centralization of the bitcoin network as a result of cloud wallets making it simple for new users to join. Because of the easily hackable nature of Bitcoin technologies, this could lead to a wide range of security vulnerabilities. The proposed approach uses normalization and filling missing values in preprocessing, PCA for feature Extraction and finally training the model using LSTM-DNN Models. The proposed approach outperforms other two models such as CNN and DNN. 2023 IEEE. Creator An entity primarily responsible for making the resource Karahyla J.K.; Sharma N.; Chamoli S.; Shirgire A.; Kant R.; Chauhan A. Source A related resource from which the described resource is derived 2023 4th International Conference on Electronics and Sustainable Communication Systems, ICESC 2023 - Proceedings, pp. 953-958. Publisher An entity responsible for making the resource available Institute of Electrical and Electronics Engineers Inc. Date A point or period of time associated with an event in the lifecycle of the resource 2023-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/ICESC57686.2023.10193561" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ICESC57686.2023.10193561</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85168306900&doi=10.1109%2FICESC57686.2023.10193561&partnerID=40&md5=a89c84b43b94652e3f282ec9a0e67182" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85168306900&doi=10.1109%2fICESC57686.2023.10193561&partnerID=40&md5=a89c84b43b94652e3f282ec9a0e67182</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 979-835030009-3 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Conference paper Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Karahyla J.K., Pgcc Hospital Management Professor and Head Respiratory Medicine Mmimsr Mm Deemed University, Human Rights, Haryana,Mullana, Ambala, India; Sharma N., Lovely Professional University, Physical Education, Punjab, Phagwara, India; Chamoli S., Graphic Era Hill University, Department of Computer Science and Engineering, Dehradun, India; Shirgire A., Dr D y Patil Institute of Technology, Department of Civil Engineering, Maharashtra,Pimpri, Pune, India; Kant R., Shoolini University, Cse Department, Himachal Pradesh, Solan, India; Chauhan A., Christ (Deemed to Be University), Department of Life Sciences, Karnataka, Bengaluru, India Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource 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, macroeconomic policies, and analysis of the inflation-unemployment dynamics in india Subject The topic of the resource COVID-19; Demand; Fiscal policy; India; Inflation; Monetary Policy; Shocks; Supply; Unemployment Description An account of the resource Indian economy could largely withstand the adversities of 2008 recession, the signs of a downturn were clearer by 2017 following the arrival of twin policies, Demonetization as well as the Goods and Services Tax. The COVID-19 pandemic has deepened the crisis leading to a significant reduction in production and total expenditure. Although India has resorted to a combination of conventional policies monetary as well as fiscal injections to face the economic crisis, it has had serious negative consequences on production and employment. We investigate the nature of relationship between inflation and unemployment during the recession and the pandemic times using the non-linear regression analysis. The results reveal that the recessionary phase has given way to a stagflationary situation owing to inflation persistence in the short run. We suggest the usefulness of a more comprehensive term structure strat?gy to deal with the adverse supply shocks and policy failures. Indian Institute of Finance. Creator An entity primarily responsible for making the resource Karakunnel J.J.; Victor V.; Athan S.L.A.; Fekete-Farkas M. Source A related resource from which the described resource is derived Finance India, Vol-38, No. 2, pp. 339-356. Publisher An entity responsible for making the resource available Indian Institute of Finance Date A point or period of time associated with an event in the lifecycle of the resource 2024-01-01 Identifier An unambiguous reference to the resource within a given context <a href="" target="_blank" rel="noreferrer noopener"></a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85203838621&partnerID=40&md5=c3946fb448d0943a6f1bc33cff3b978b" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85203838621&partnerID=40&md5=c3946fb448d0943a6f1bc33cff3b978b</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 9703772 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 Karakunnel J.J., CHRIST (Deemed-to-be-University), The Department of Economics, Bhavani Nagar, SG Palya, Karnataka, Bangalore, 560029, India; Victor V., Indian Institute of Technology (IIT) Roorkee, Department of Humanities and Socieal Science, Roorkee, 247667, India; Athan S.L.A., CHRIST (Deemed-to-be-University), The Department of Economics, Bhavani Nagar, SG Palya, Karnataka, Bangalore, 560029, India; Fekete-Farkas M., Hungarian University of Agricultural and Life Sciences, Faculty of Economics and Social Science, Per Koly str. 1, Glo, 2100, Hungary 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 Sustainable environment protection and waste management in higher education institutions: A case study Subject The topic of the resource Higher educational institutions; Social responsibility; Student volunteers; Sustainable environment protection; Waste management Description An account of the resource Sustainable environment protection and waste management are global concerns that major cities are grappling with, and it is the most important environmental factor that higher educational institutions in India are considering right now. "Parivarthana, "-the recycling unit of the Centre for Social Action at Christ University, Bengaluru, is evolved as a paradigm for all higher education institutions in terms of long-term environmental protection through waste management and the efforts of student volunteers. The student volunteers have been successful in sensitizing all members of the University to the importance of environmental conservation, and there is rising evidence of accountability among all members regarding waste management. The basic sense of social responsibility of student volunteers toward environmental sustainability is the primary focus of this chapter. Student volunteers who have a higher sense of social responsibility have a better attitude toward their studies, which leads to higher academic accomplishment and a desire to take action to address environmental challenges. Their environmental awareness, climate change, the need to reduce greenhouse gas emissions, efficient use of natural resources, waste management, and sustainable consumerism have served as an example for students of other higher educational institutions. A qualitative method with a case study approach was applied for this research with In-depth interviews with all stakeholders of the unit. The objectives include the participants' understanding of the prevailing process of waste management in the unit, the relation between waste management and Climate change, and the role of the student volunteers and other stakeholders of the Higher Educational Institutions in bringing a model to Sustainable Development and Global Climate Change. 2024 Nova Science Publishers, Inc. Creator An entity primarily responsible for making the resource Karalam S.; Mathew A.R. Source A related resource from which the described resource is derived Models for Social Responsibility Action by Higher Education Institutions, pp. 1-20. Publisher An entity responsible for making the resource available Nova Science Publishers, 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="" target="_blank" rel="noreferrer noopener"></a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85183084007&partnerID=40&md5=cf623083843a761e484b9d5c49a4e052" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85183084007&partnerID=40&md5=cf623083843a761e484b9d5c49a4e052</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 979-889113251-1; 979-889113097-5 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Book chapter Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Karalam S., Department of Sociology and Social Work, Christ University, Bengaluru, India; Mathew A.R., Social Axiom Foundation, Bengaluru, India