135 20 16481 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Conference Papers Conference Paper Faculty Publications- Conference Papers Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Managing with Machines: A Comprehensive Assessment on the Use of Artificial Intelligence in Organizational Perspectives Subject The topic of the resource artificial intelligence; Business organizations; CRMs; employer productivity Description An account of the resource This complete study, delves into the multifaceted impacts of artificial Intelligence (AI) inside organizational settings, highlighting its ability and demanding situations. The investigation spans numerous aspects along with AI-driven customer relationship management (CRM), employee productivity, and overall performance enhancement thru AI. By analyzing distinct AI applications and methodologies across different organizational functions, this studies presents insights into how AI can transform industries, decorate CRM, improve employee productiveness, and foster sustainable development. Despite the promising programs, the study also addresses the pitfalls and enormous hesitancy in AI adoption due to disasters in some high-profile AI projects. The paper underscores the significance of strategic AI integration, context-consciousness, and the want for organizational readiness to leverage AI's full capability whilst aligning with the Sustainable improvement goals (SDGs). 2024 IEEE. Creator An entity primarily responsible for making the resource Chib S.; Gandhi M.P.; Bose S.S.; Thirulogasundaram V.P.; Prasanna H.N.; Lakshmi S.R. Source A related resource from which the described resource is derived 2024 International Conference on Cybernation and Computation, CYBERCOM 2024, pp. 483-487. 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/CYBERCOM63683.2024.10803230" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/CYBERCOM63683.2024.10803230</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85216264441&doi=10.1109%2FCYBERCOM63683.2024.10803230&partnerID=40&md5=ffc05cd3bfbbb2d509d2691608b827c7" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85216264441&doi=10.1109%2fCYBERCOM63683.2024.10803230&partnerID=40&md5=ffc05cd3bfbbb2d509d2691608b827c7</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 979-833154234-4 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 Chib S., Datta Meghe Institute of Management Studies, Nagpur, India; Gandhi M.P., Yeshwantrao Chavan College of Engineering, Nagpur, India; Bose S.S., Amity Business School, Amity University, Chhattisgarh, Raipur, India; Thirulogasundaram V.P., Donbosco College of Management Studies and Computer Applications, Kumbalagode, Bangalore, 74, India; Prasanna H.N., Sri Venkateswara Coll. of Eng., Bangalore, India; Lakshmi S.R., Christ University, Business and Management, Karnataka, Bangalore, 560073, 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 Beyond Automation: Understanding the Transformational Capabilities of AI in Management Subject The topic of the resource AI; augmentation; automation; management Description An account of the resource The investigation explores at the various ways that artificial intelligence (AI) is affecting management techniques. The study highlights the dichotomy between automation and augmentation, highlighting how artificial intelligence (AI) can replace human work through automation, but its ultimate use in augmenting human capabilities (augmentation) leads to better organisational performance. This analysis reveals how AI-driven tactics enhance operational efficiency, decision-making, and productivity by synthesising research findings from a variety of domains, including manufacturing, banking, municipal sectors, and remote work environments. It also looks at how AI may change management through big data and data analytics, recommending a shift to an integrated strategy that combines automation and human understanding to promote creativity and long-term growth. 2024 IEEE. Creator An entity primarily responsible for making the resource Chib S.; Gandhi M.P.; Sastry N.S.; Zabiullah B.I.; Ragavendra B.S.B.; Lakshmi S.R. Source A related resource from which the described resource is derived Proceedings of International Conference on Communication, Computer Sciences and Engineering, IC3SE 2024, pp. 664-667. 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/IC3SE62002.2024.10592890" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/IC3SE62002.2024.10592890</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85200663710&doi=10.1109%2FIC3SE62002.2024.10592890&partnerID=40&md5=a36e53b49b252ae283b048bf6cbb2ee5" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85200663710&doi=10.1109%2fIC3SE62002.2024.10592890&partnerID=40&md5=a36e53b49b252ae283b048bf6cbb2ee5</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 979-835036684-6 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 Chib S., Datta Meghe Institute Of Management Studies, Madhya Pradesh, Nagpur, India; Gandhi M.P., Yeshwantrao Chavan College Of Engineering, Madhya Pradesh, Nagpur, India; Sastry N.S., School Of Management, Cmr University, Karnataka, Bangalore, India; Zabiullah B.I., School Of Management, Cmr University, Karnataka, Bangalore, India; Ragavendra B.S.B., Donbosco Institute Of Management Studies And Computer Applications, Mba Department, Kumbalgodu, Bangalore, India; Lakshmi S.R., Christ University, Department: Business & Management, Nagasandra, Karnataka, Bangalore, India Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Faculty Publications 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/. Creator An entity primarily responsible for making the resource Chib, Shiney; Pawar, FAlguni; Bose, Shantanu S.; Thiridogasundaram, V.P.; Prasanna, H.N.; Lakshmi, S.R. Title A name given to the resource Achieving Organisational Achievement via the Use of Al in Machine Management Date A point or period of time associated with an event in the lifecycle of the resource 01-01-2025 Source A related resource from which the described resource is derived Security Intelligence in the Age of AI: Navigating Legal and Ethical Frameworks;pp.223-242 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1108/978-1-83608-156-220251013" target="_blank" rel="noreferrer noopener">https://doi.org/10.1108/978-1-83608-156-220251013</a> <a href="https://www.scopus.com/pages/publications/105014907463?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105014907463?origin=resultslist</a> Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Chib S., Datta Meghe Institute of Management Studies, India; Pawar F., Datta Meghe Institute of Management Studies, India; Bose S.S., Amity University, India; Thiridogasundaram V.P., Don Bosco College of Management Studies and Computer Applications, India; Prasanna H.N., Sri Venkateshwara College of Engineering, India; Lakshmi S.R., Christ University, India Description An account of the resource Among the most effective ways of increasing the outcomes of the company, there is the application of Artificial Intelligence ( Al) in machine management. This study article focuses on the role of Al in improving the work of machines and decision-making as well as increasing the effectiveness of organisations. The focus of the study is to enhance the machine management efficiency in order to reduce the downtime, decrease the costs of operation and increase the productivity through the application of Al technologies such as automated systems, predictive maintenance and real-time data analysis. This study finds that the indicators of operational efficiency, product quality and labour safety are determined by a case study of various industries. This study has proposed that the integration of Al into machine management goes beyond being a technical adjustment; it is a shift in the culture and approach of organisations, human resource management (HRM) practices and operations. The real-time insights and predictive analysis of the market that is provided by Al can help in meeting the needs of the market that are ever-evolving while at the same time being efficient and innovative. This makes enterprises to have an edge over the competitors. The findings of the study are therefore a clear indication that in the ever evolving business environment, there is the need to embrace the use of Al to foster growth and development of organisations. 2025 Shiney Chib, Falguni Pawar, Shantanu S. Bose, Thirulogasundaram V.P., Prasanna H.N. and Lakshmi S.R. All rights reserved. Subject The topic of the resource Artificial Intelligence; Business organisations; CRMs; Employer productivity; Organisational achievement Publisher An entity responsible for making the resource available Emerald Publishing Relation A related resource ISBN: 978-183608156-2; 978-183608157-9; Language A language of the resource English Type The nature or genre of the resource Book chapter Rights Information about rights held in and over the resource Restricted Access; Hardcopy may be available in the library Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Articles Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Optimal Feature Selection for the Classification of Hyperspectral Imagery Using Adaptive SpectralSpatial Clustering Subject The topic of the resource Classification; Clustering; Hyperspectral image; Parallel classifiers; Spectralspatial features Description An account of the resource Hyperspectral images captured through the hyperspectral sensors play an imperative part in remote sensing applications in the present context. Unlike traditional images sensed with few bands in the visible spectrum, the hyperspectral (HS) images are obtained with hundreds of spectral band ranges from infrared to ultraviolet regions. Because of its vast spatial and spectral data, it requires an extensive computational system for processing and its hidden features are needed to be unveiled in an effective manner specifically for the classification of HS imagery. This approach exploits the high spectral band correlation and rich spatial information of the HS images for the generation of feature vectors. To attain optimal feature space for the best probable classification, an adaptive approach is incorporated to adaptively choose spectralspatial features for feature selection to classify the pixels effectively. Furthermore, the HS image encompasses several bands including noisy bands. To categorize the images with great accuracy, it is suggested to eradicate the noisy bands whilst retaining the informative bands. In this research, an adaptive spectralspatial feature selection scheme is proposed for HS images where the extremely correlated representative bands are considered for analysis with uncorrelated and noisy spectral bands are judiciously discarded during its classification process. This hybrid approach not merely diminishes the computational time and also improves the general classification accuracy significantly. The empirical result displays that the proposed work surpasses the conventional approach of HS image classification systems. 2018, Springer Science+Business Media, LLC, part of Springer Nature. Creator An entity primarily responsible for making the resource Chidambaram S.; Sumathi A. Source A related resource from which the described resource is derived International Journal of Parallel Programming, Vol-48, No. 5, pp. 813-832. 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/s10766-018-0607-5" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/s10766-018-0607-5</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85055987255&doi=10.1007%2Fs10766-018-0607-5&partnerID=40&md5=e834221680bae90e9273b64cd801b5b2" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85055987255&doi=10.1007%2fs10766-018-0607-5&partnerID=40&md5=e834221680bae90e9273b64cd801b5b2</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 8857458; CODEN: IJPPE 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 Chidambaram S., Department of Electronics and Communication Engineering, Christ University, Bengaluru, India; Sumathi A., Department of Electronics and Communication Engineering, Adhiyamaan College of Engineering, Hosur, 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 No Thesis Title A name given to the resource Rights based approaches to poverty reduction and development reality versus rhetoric Subject The topic of the resource Management Studies Description An account of the resource Over the past two decades erudite understanding of poverty has generated an overlapping consensus on what poverty entails. It is now almost universally accepted that poverty is multi-dimensional, and is a human rights violation that arises mainly from structural inequalities. The search for a holy grail of its reduction has seen widespread deployment of Rights-based newlineapproaches (RBAs), fronted by NGOs, since the turn of the century. In spite of this, coupled with a marked increase in development resources, poverty is proving to be robustly sustainable. The study determined the appropriateness and effectiveness of RBAs newlineas a guiding framework for sustainable poverty reduction and development. This entailed an assessment of the practical impact of RBAs and implementation of RBA strategies as well as identification of key variables necessary for successful rights-based development. As a descriptive survey, the study was underpinned by the pragmatism research philosophy, and employed a mixed methods approach with a concurrent embedded strategy that was largely qualitative but embedding a quantitative strand. Data were collected through interviews, observations and focus group discussions. In all 98 newlineparticipants from 25 villages and 9 organisations were directly studied newline(excluding observations) and were selected using probability and nonprobability sampling methods. Data were analysed using the thematic approach and SPSS. The results of the study highlighted that poverty which had increased during the period covered by the study, is still largely defined from the basic needs and income perspectives, and attributed to individual deficiencies. newlineUnderstanding of RBAs is weak and orientation on RBAs to staff and partners was inadequate. While the quality of development programs improved under RBAs, the quantity and distribution of development outputs and outcomes did not improve. Creator An entity primarily responsible for making the resource Chimhowa, Herbert Kudzanai. 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 2020-01-01 Contributor An entity responsible for making contributions to the resource N, Elangovan and Mapfumo, James. 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/10603/443988" target="_blank" rel="noreferrer noopener">http://hdl.handle.net/10603/443988</a> https://archives.christuniversity.in/files/original/188e6e5c8ef10874bf97e33daef7966a.pdf 2e7cef9b24c39b0015cb8eb407b560f3 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 Thesis 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/. Title A name given to the resource Rights based approaches to poverty reduction and development reality versus rhetoric / Subject The topic of the resource Management Creator An entity primarily responsible for making the resource Chimhowa, Herbert Kudzanai. - 1148001 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 2020-12-22 Language A language of the resource English Type The nature or genre of the resource PhD 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 No Thesis Title A name given to the resource An analysis of operational risk management in small and medium enterprises smes in masvingo province of zimbabwe 2009 2011 Subject The topic of the resource Management Studies Description An account of the resource NA Creator An entity primarily responsible for making the resource Chimwai, Ledwin. 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 2016-01-01 Contributor An entity responsible for making contributions to the resource Duggal,S and Mapfumo, S J. 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/10603/423338" target="_blank" rel="noreferrer noopener">http://hdl.handle.net/10603/423338</a> https://archives.christuniversity.in/files/original/7520ced428c932d2adce31efbc3cd189.pdf 16585d9b7e62e2f0abae531d8c720e98 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 Thesis 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/. Title A name given to the resource An analysis of operational risk management in small and medium enterprises smes in masvingo province of zimbabwe 2009 - 2011 / Subject The topic of the resource Management Creator An entity primarily responsible for making the resource Chimwai, Ledwin. - 1140008 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 2015-12-23 Language A language of the resource English Type The nature or genre of the resource PhD Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Faculty Publications Conference Paper Faculty Publications- Conference Papers Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Chinmayi, P.; Jeswani, Himanshi; Singh, Nandini; Vinay, M.; Jayapriya, J.; Jayadurga, R. Title A name given to the resource Unveiling Sentiment Trends: An Approach to Utilize Machine Learning in Studying User Activities on New Social Applications Date A point or period of time associated with an event in the lifecycle of the resource 01-01-2025 Source A related resource from which the described resource is derived Lecture Notes in Networks and Systems;Volume;1377 LNNS;pp.259-269 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1007/978-981-96-5370-6_19" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-981-96-5370-6_19</a> <a href="https://www.scopus.com/pages/publications/105018804923?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105018804923?origin=resultslist</a> Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Chinmayi P., Christ University, Karnataka, Bangalore, India; Jeswani H., Christ University, Karnataka, Bangalore, India; Singh N., Christ University, Karnataka, Bangalore, India; Vinay M., Christ University, Karnataka, Bangalore, India; Jayapriya J., Christ University, Karnataka, Bangalore, India; Jayadurga R., Christ University, Karnataka, Bangalore, India Description An account of the resource Sentiment analysis is the examination of textual data to determine the writer's attitude, which can be positive, negative, or neutral. In the context of social media analysis, sentiment analysis is peculiar as it helps to identify trends in large amounts of data that are posted by social media users. In the case of sentiment analysis algorithms, the text is categorized into positive, negative, and neutral. Classification of sentiments involves the use of several algorithms such as the decision tree, support vectors, and neural networks. In other words, the paper intends to determine the users sentiment using the decision tree model. Some of the common data sets that have been utilized in this study include the COVID-19 pandemic data, movie reviews, and product ratings. What is tried to be accomplished in this type of case is to determine the efficiency and stability of the decision trees, as well as their optimum success region. Based on the results, it can be pointed out that the accuracy is the highest for the COVID-19 Tweets dataset when referring to the simulation model, which is 98%; hence, the decision tree is best used in the context of the health sector. The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025. Subject The topic of the resource Accuracy; Decision trees; Machine learning techniques; Sentimental analysis Publisher An entity responsible for making the resource available Springer Science and Business Media Deutschland GmbH Relation A related resource ISSN: 23673370; ISBN: 978-981965369-0; Language A language of the resource English Type The nature or genre of the resource Conference paper Rights Information about rights held in and over the resource Restricted Access; Hardcopy may be available in the library Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource 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 AI Applications Computer Vision and Natural Language Processing Subject The topic of the resource Artificial Intelligence; Image Recognition; Natural Language Processing; Technology Integration Description An account of the resource Artificial intelligence (AI) applications in computer vision and natural language processing (NLP) have made major advances in recent years, challenging a number of sectors and areas. This multidisciplinary topic combines NLP, which examines the study of human language, and computer vision, which concentrates on the understanding of visual data. This study examines the wide range of applications that are included within this convergence, highlighting the revolutionary potential of AI technology. AI has made it possible to make significant advances in autonomous systems, object identification, and image recognition in the field of computer vision. These developments have stimulated innovation and increased efficiency, revolutionizing sectors including healthcare, autonomous vehicles, and security. Meanwhile, AI-driven advances in NLP have produced strong language models that can produce, comprehend, and translate text. These approaches have been utilized to improve accessibility and efficiency of communication in chatbots, sentiment analysis, and language translation services. This chapter explores the basic ideas and advancements in these two fields, emphasizing the opportunities and novel challenges that arise from integrating computer vision and NLP. Additionally covered are data privacy, ethical issues, and the possibility of prejudice in AI applications. The study also highlights the ongoing need for these fields' advancement and investigation in order to solve real-world problems and fully utilize AI's potential in the computer vision and NLP industries. 2025 The Institute of Electrical and Electronics Engineers, Inc. Creator An entity primarily responsible for making the resource Chinnaiyan B.; Balasubaramanian S.; Jeyabalu M.; Warrier G.S. Source A related resource from which the described resource is derived Model Optimization Methods for Efficient and Edge AI: Federated Learning Architectures, Frameworks and Applications, pp. 25-41. Publisher An entity responsible for making the resource available wiley 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/10.1002/9781394219230.ch2" target="_blank" rel="noreferrer noopener">https://doi.org/10.1002/9781394219230.ch2</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85212719113&doi=10.1002%2F9781394219230.ch2&partnerID=40&md5=94a43226e23baab7ace490e957bf9b81" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85212719113&doi=10.1002%2f9781394219230.ch2&partnerID=40&md5=94a43226e23baab7ace490e957bf9b81</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 978-139421923-0; 978-139421921-6 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 Chinnaiyan B., Department of Computer Science, CHRIST University, Karnataka, Bangalore, India; Balasubaramanian S., Department of Information Technology, University of Technology and Applied Sciences, Al Mussanah, Oman; Jeyabalu M., Department of Computer Science, CHRIST University, Karnataka, Bangalore, India; Warrier G.S., Department of Computer Science, CHRIST University, Karnataka, 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 Deep Learning-Based Optimised CNN Model for Early Detection and Classification of Potato Leaf Disease Subject The topic of the resource Convolutional neural network; Early blight; Late blight; Potato disease; Potato plant Description An account of the resource After rice and wheat, potatoes are the third-largest crop grown for human use worldwide. The different illnesses that can harm a potato plant and lower the quality and quantity of the yield cause potato growers to suffer significant financial losses every year. While determining the presence of illnesses in potato plants, consider the state of the leaves. Early blight and late blight are two prevalent illnesses. A certain fungus causes early blight, while a specific bacterium causes late blight. Farmers can avoid waste and financial loss if they can identify these diseases early and treat them successfully. Three different types of data were used in this study's identification technique: healthy leaves, early blight, and late blight. In this study, I created a convolutional neural network (CNN) architecture-based system that employs deep learning to categorise the two illnesses in potato plants based on leaf conditions. The results of this experiment demonstrate that CNN outperforms every task currently being performed in the potato processing facility, which needed 32 batch sizes and 50 epochs to obtain an accuracy of about 98%. 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. Creator An entity primarily responsible for making the resource Chinnaiyan R.; Prasad G.; Sabarmathi G.; Swarnamugi; Balachandar S.; Divya R. Source A related resource from which the described resource is derived Smart Innovation, Systems and Technologies, Vol-370, pp. 577-590. Publisher An entity responsible for making the resource available Springer Science and Business Media Deutschland GmbH Date A point or period of time associated with an event in the lifecycle of the resource 2023-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1007/978-981-99-6702-5_47" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-981-99-6702-5_47</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85177837014&doi=10.1007%2F978-981-99-6702-5_47&partnerID=40&md5=356b45265721a1fceb79625537eea4ff" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85177837014&doi=10.1007%2f978-981-99-6702-5_47&partnerID=40&md5=356b45265721a1fceb79625537eea4ff</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 21903018; ISBN: 978-981996701-8 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 Chinnaiyan R., Department of CSE, Alliance College of Engineering and Design, Alliance University, Bengaluru, India; Prasad G., School of CSE, Presidency University, Bengaluru, India; Sabarmathi G., School of Business and Management, CHRIST UNIVERSITY (Deemed to be University), Bengaluru, India; Swarnamugi, Department of CS, Jyoti Nivas College, Bengaluru, India; Balachandar S., CMR Institute of Technology, Bengaluru, India; Divya R., CMR Institute of Technology, 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 Lattice thermal conduction in cadmium arsenide Subject The topic of the resource Cd3As2; dirac semimetals; phonon scattering; thermal conductivity Description An account of the resource Lattice thermal conductivity (LTC) of cadmium arsenide (Cd3As2) is studied over a wide temperature range (1-400 K) by employing the Callaway model. The acoustic phonons are considered to be the major carriers of heat and to be scattered by the sample boundaries, disorder, impurities, and other phonons via both Umklapp and normal phonon processes. Numerical calculations of LTC of Cd3As2 bring out the relative importance of the scattering mechanisms. Our systematic analysis of recent experimental data on thermal conductivity (TC) of Cd3As2 samples of different groups, presented in terms of LTC, ? L, using a nonlinear regression method, reveals good fits to the TC data of the samples considered for T < ? 50 K, and suggests a value of 0.2 for the Gruneisen parameter. It is, however, found that for T > 100 K the inclusion of the electronic component of TC, ? e, incorporating contributions from relevant electron scattering mechanisms, is needed to obtain good agreement with the TC data over the wide temperature range. More detailed investigations of TC of Cd3As2 are required to better understand its suitability in thermoelectric and thermal management devices. 2022 Chinese Physical Society and IOP Publishing Ltd. Creator An entity primarily responsible for making the resource Chinnappagoudra R.F.; Kamatagi M.D.; Patil N.R.; Sankeshwar N.S. Source A related resource from which the described resource is derived Chinese Physics B, Vol-31, No. 11 Publisher An entity responsible for making the resource available Institute of Physics Date A point or period of time associated with an event in the lifecycle of the resource 2022-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1088/1674-1056/ac7863" target="_blank" rel="noreferrer noopener">https://doi.org/10.1088/1674-1056/ac7863</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85141937371&doi=10.1088%2F1674-1056%2Fac7863&partnerID=40&md5=4a24de5cdd7dcfd05add2c7677f550bd" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85141937371&doi=10.1088%2f1674-1056%2fac7863&partnerID=40&md5=4a24de5cdd7dcfd05add2c7677f550bd</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 16741056 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 Chinnappagoudra R.F., Department of Physics, S. S. Government First Grade College, Karnataka, Nargund, 582 207, India, Research Resource Centre, Visvesvaraya Technological University, Karnataka, Belagavi, 590 018, India; Kamatagi M.D., Department of Physics, S. S. Government First Grade College, Karnataka, Nargund, 582 207, India; Patil N.R., Department of Physics, B V B College of Engineering and Technology, Karnataka, Hubli, 580031, India; Sankeshwar N.S., Department of Physics & Electronics, CHRIST (Deemed to be University), Karnataka, Bangalore, 560 029, India Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Articles Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Energy-Aware Multilevel Clustering Scheme for Underwater Wireless Sensor Networks Subject The topic of the resource Clustering algorithm; Energy-aware clustering; Underwater wireless sensor networks; UWSN Description An account of the resource The expansion of wireless sensor networks in the underwater environment resulted in underwater wireless sensor networks. It has dramatically impacted the research arena because of its widespread and real-time applications. But successful implementation of underwater wireless sensor networks faces many issues. The primary concern in the underwater sensor network is sensor nodes' energy depletion problem. In this paper, to improve the lifetime of the underwater wireless sensor network, an Energy-Aware Multi-level Clustering Scheme is proposed. The underwater network region is considered 3D concentric cylinders with multiple levels. Further, each level is divided into various blocks, representing one cluster. The proposed algorithm follows vertical communication mode from the sea bed to the surface area in a bottom-up fashion. Multiple levels with varying heights overcome the communication issues due to high water pressure towards the sea bed. Simulations are carried out to show the efficiency of the proposed algorithm, which performs better in terms of a prolonged network lifetime and average residual energy. The simulation result shows significant improvement in the network lifetime compared with current algorithms. 2013 IEEE. Creator An entity primarily responsible for making the resource Chinnasamy S.; Naveen J.; Alphonse P.J.A.; Dhasarathan C.; Sambasivam G. Source A related resource from which the described resource is derived IEEE Access, Vol-10, pp. 55868-55875. 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.2022.3177722" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ACCESS.2022.3177722</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85130838455&doi=10.1109%2FACCESS.2022.3177722&partnerID=40&md5=774f71cd85f8797054461ef77776c7f1" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85130838455&doi=10.1109%2fACCESS.2022.3177722&partnerID=40&md5=774f71cd85f8797054461ef77776c7f1</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 Chinnasamy S., Madanapalle Institute Of Technology And Science, Madanapalle, 517325, India; Naveen J., Christ (Deemed To Be University), Department Of Computer Science And Engineering, Bengaluru, 560060, India; Alphonse P.J.A., National Institute Of Technology At Tiruchirappalli, Department Of Computer Applications, Tiruchirappalli, 620015, India; Dhasarathan C., Thapar Institute Of Engineering And Technology, Department Of Computer Science And Engineering, Punjab, Patiala, 147004, India; Sambasivam G., Isbat University, Faculty Of Information And Communication Technology, Kampala, Uganda Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Faculty Publications Conference Paper Faculty Publications- Conference Papers Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Chintala, Sridhar; Janapati, RaviChander; Bhardwaj, Payal; Gude, Srihari Title A name given to the resource NAFLD Detection Using Natural Gradient Boosting: A Probabilistic Ensemble Approach for Improved Accuracy and Calibration Date A point or period of time associated with an event in the lifecycle of the resource 01-01-2026 Source A related resource from which the described resource is derived Lecture Notes in Electrical Engineering;Volume;1528 LNEE;pp.252-260 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1007/978-981-95-5831-5_27" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-981-95-5831-5_27</a> <a href="https://www.scopus.com/pages/publications/105031483567?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105031483567?origin=resultslist</a> Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Chintala S., School of CS&AI, SR University, Telangana, Warangal, India; Janapati R., School of CS&AI, SR University, Telangana, Warangal, India; Bhardwaj P., Department of Electronics and Communication Engineering, Birla Institute of Technology, Mesra, Off-Campus Deoghar, Jharkhand, Deoghar, 814142, India; Gude S., Department of Electrical and Electronics Engineering, Christ (Deemed to be University), Karnataka, Bengaluru, India Description An account of the resource A growing global health concern, non-alcoholic fatty liver disease (NAFLD) must be accurately and promptly detected to avoid serious complications. This study suggests a model based on Natural Gradient Boosting (NGBoost) for accurate clinical feature-based NAFLD prediction. In contrast to traditional gradient boosting algorithms, NGBoost uses natural gradients to estimate the entire conditional probability distribution of outcomes, which enhances uncertainty quantification and calibration. Using a publicly accessible Kaggle dataset, the models performance was compared to KNN, SVM, and Decision Tree classifiers. According to experimental results, NGBoost outperformed conventional classifiers in terms of precision, recall, and F1 score, achieving the highest accuracy of 92.8%. Excellent discriminative ability was indicated by the ROC curve, and strong generalization ability with minimal overfitting was confirmed by the trainingvalidation loss analysis. These findings demonstrate how NGBoost may be used to support clinical decisions, allowing for earlier detection and treatment. Subsequent research endeavors will investigate the validation of the model on more extensive real-world datasets and broaden its relevance to additional liver-related conditions. The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2026. Subject The topic of the resource Decision Tree; KNN; Machine learning; NGBoost; Non-alcoholic fatty liver disease (NAFLD) Publisher An entity responsible for making the resource available Springer Science and Business Media Deutschland GmbH Relation A related resource ISSN: 18761100; ISBN: 978-981955830-8; Language A language of the resource English Type The nature or genre of the resource Conference paper Rights Information about rights held in and over the resource Restricted Access; Hardcopy may be available in the library Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Faculty Publications Conference Paper Faculty Publications- Conference Papers Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Chintale, Pradeep; Waghmare, Pranay; Khanna, Shivi; Mahida, Ankur; Gupta, Gaurav; Kumar, Shantanu; Gochhait, Saikat Title A name given to the resource Bridging the Gap: Exploring Blockchains Role in Enhancing Financial Inclusion in the Indian Context Date A point or period of time associated with an event in the lifecycle of the resource 01-01-2025 Source A related resource from which the described resource is derived Lecture Notes in Networks and Systems;Volume;1196 LNNS;pp.129-138 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1007/978-981-97-9526-0_14" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-981-97-9526-0_14</a> <a href="https://www.scopus.com/pages/publications/105009871589?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105009871589?origin=resultslist</a> Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Chintale P., Downingtown, PA, United States; Waghmare P., Symbiosis Institute of Digital and Telecom Management, Constituent of Symbiosis International Deemed University, Pune, India; Khanna S., Christ University, Bangalore, India; Mahida A., Barclays, United Kingdom; Gupta G., Shoolini University, Himachal Pradesh, Solan, India; Kumar S., Amazon, Seattle, WA, United States; Gochhait S., Symbiosis Institute of Digital and Telecom Management, Constituent of Symbiosis International Deemed University, Pune, India Description An account of the resource In recent years, the concept of financial inclusion has gained prominence as a crucial element in both economic and societal progress. This study investigates how blockchain technology could enhance financial accessibility in the unique socioeconomic context of India. Through an extensive analysis of a variety of blockchain applications, such as decentralized banking, digital identity verification, and transparent transaction procedures, this paper investigates the feasibility of utilizing blockchain technology to enhance inclusive financial systems. It closely examines the obstacles to blockchain adoption in India, such as governmental regulations, public sentiment, and the limitations of the countrys technology infrastructure. In order to raise awareness and encourage adoption, it also examines how to include blockchain education initiatives. This study adds to the discussion on financial inclusion and blockchain technology by fusing theoretical knowledge with real-world applications. Additionally, it offers a way to apply blockchain technology to advance inclusive economic growth in India. The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025. Subject The topic of the resource Digital identification; Distributed banking; Education; Indias blockchain technologies; KYC adherence; Mutual-to-peer financing; Partnerships; Policy implications; Public opinion; Regulatory structure; Rural areas; Scalability; Socioeconomic environment,; Sustainability Publisher An entity responsible for making the resource available Springer Science and Business Media Deutschland GmbH Relation A related resource ISSN: 23673370; ISBN: 978-981979525-3; Language A language of the resource English Type The nature or genre of the resource Conference paper Rights Information about rights held in and over the resource Restricted Access; Hardcopy may be available in the library Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource 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 61000387 Title A name given to the resource A Comprehensive Model for Forecasting the Nifty50 Index Using MAchine and Deep Learning Methodologgy with Reference to National Stock Exchange Subject The topic of the resource Computer Science and Engineering Description An account of the resource The volatility and uncertainty make stock and stock price index predictions challenging. Many financial professionals and academics are interested in stock price/index prediction studies. This study presents computational ML and DL intelligence techniques for estimating the NIFTY50 index closing value on the Indian NSE using Fundamental Analysis and Technical Analysis. To forecast the NIFTY50 index, we first employed Fundamental Analysis and max voting, bagging, boosting, and stacking ensemble learning techniques. An embedded feature selection algorithm is utilized to determine the model's best fundamental indicators, and a grid search is performed to tweak hyperparameters for each base regressor. Our results demonstrate that the bagging and stacking regressor model 2 beat all other models, with the lowest RMSE of 0.0084 and 0.0085, respectively, indicating an improved fit of ensemble regressors. Subsequently, TA research was done to exhibit the influence of deep learning on the NIFTY50. This method employs a data augmentation mechanism and three GRU model variations. It is examined using two datasets, TA1 and TA2, which include technical indicators from the NIFTY50 index. The GRU model enhanced the NIFTY50 index prediction using the TA1 technical indicator dataset. Finally, the study examines a hybrid model to estimate equity market trends, combining PCA with ML methods such as ANN, SVM, NB, and RF. The proposed approach uses the trend deterministic data preparation layer to convert the continuous data to a discrete form denoted by +1 or -1. The empirical findings of this hybrid model demonstrate that the RF model with the first three principal components obtains precision of 0.9969, F1-score 0.9968 and AUC score of 1. Overall, the suggested research design outperforms baseline models in our experiments and shows promising results using fundamental and technical analysis indicators. Thus, this study provides an ideal tool for stock market prediction and financial decision-makers. Creator An entity primarily responsible for making the resource Chinthakunta, Manjunath 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 M, Balamurugan and Ghosh, Bikramaditya 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/10603/597559" target="_blank" rel="noreferrer noopener">http://hdl.handle.net/10603/597559</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 Faculty Publications 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/. Creator An entity primarily responsible for making the resource Chirana, Avya Singh; Giri, Pratibha Title A name given to the resource Future of Work in Creative Industries Date A point or period of time associated with an event in the lifecycle of the resource 01-01-2026 Source A related resource from which the described resource is derived Redefining Global Creative Sectors Through AI and Human Augmentation;pp.153-193 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.4018/979-8-3373-7153-5.ch006" target="_blank" rel="noreferrer noopener">https://doi.org/10.4018/979-8-3373-7153-5.ch006</a> <a href="https://www.scopus.com/pages/publications/105032932294?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105032932294?origin=resultslist</a> Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Chirana A.S.; Giri P., School of Business and Management, Christ (Deemed to be University), Delhi, India Description An account of the resource Digital technologies, platform- based labour and AI are causing a significant transformation in the future of work in creative industries. This chapter looks at how the changes are transforming creative professions, work models and career expectations. In the digital transition, numerous cultural barriers to entry have been eliminated and individuals can tap into international markets without institutional intermediaries. With creative employees becoming more freelance and web based entrepreneurs, artists have to manage an increased pressure to balance between creativity and commercial and technological concerns. Lastly, it also gives future research and policy implications such as the need to provide structural systems that safeguard mental health, equitable pay and inclusiveness to opportunities. This chapter contends that creators, platforms, educators and policymakers must work together in order to achieve a healthy and equitable creative economy and sustainable creative futures. 2026 by IGI Global Scientific Publishing. All rights reserved. Publisher An entity responsible for making the resource available IGI Global Relation A related resource ISBN: 979-833737155-9; 979-833737153-5; Language A language of the resource English Type The nature or genre of the resource Book chapter Rights Information about rights held in and over the resource Restricted Access; Hardcopy may be available in the library Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource 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 Post Covid Scenario Effective E-Mentoring System in Higher Education Subject The topic of the resource E-Mentoring; Education; Mentee; Online; Service Learning; Software Description An account of the resource During Covid-19 pandemic many people and institutions preferred online coaching instead of in person education. The problem with online is that it will be difficult to carry on interconnections between students and professors in that environment. The main constraint for conducting online session is that the people in remote areas may find a difficulty to connect to online sessions having network issues. Electronic mentoring (e-mentoring) is implemented like a website in which the mentor and mentee can communicate with each other. With the help of this mentoring the project can provide a best solution for both the mentor and mentee. They can communicate with each other with the help of online platform and even with the help of emails.This proposed method will help them to keep the track of their academic progress and achievements of students. This article mainly focus on the mentoring through physical and virtual environment in which the mentee will be interacting with the mentor to know the progress of their academics. This article discusses about the website which is developed to fulfill the needs of the student and it discusses about the various stages of development that helped in building the website. Students can share their difficulties and their achievements with the mentor who are assigned for them particularly. In future planning to implement artificial intelligence technique to online mentoring process, this is for the betterment of student's growth. 2023 IEEE. Creator An entity primarily responsible for making the resource Chiranmai I.; Rajesh S.M.; Meghana G.; Rose S.; Jayapandian N. Source A related resource from which the described resource is derived International Conference on Innovative Data Communication Technologies and Application, ICIDCA 2023 - Proceedings, pp. 549-554. 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/ICIDCA56705.2023.10100176" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ICIDCA56705.2023.10100176</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85159097388&doi=10.1109%2FICIDCA56705.2023.10100176&partnerID=40&md5=caaf416121a1a7d9ecb9fa07c35d75df" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85159097388&doi=10.1109%2fICIDCA56705.2023.10100176&partnerID=40&md5=caaf416121a1a7d9ecb9fa07c35d75df</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 979-835039720-8 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 Chiranmai I., Christ (Deemed to Be University), Department of Cse, India; Rajesh S.M., Christ (Deemed to Be University), Department of Cse, India; Meghana G., Christ (Deemed to Be University), Department of Cse, India; Rose S., Christ (Deemed to Be University), School of Engineering and Technology, India; Jayapandian N., Christ (Deemed to Be University), Department of Cse, 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 Total Global Dominator Coloring of Trees and Unicyclic Graphs Subject The topic of the resource Global dominator coloring; Total domination number; Total dominator coloring; Total global domination number; Total global dominator coloring; Trees; Unicyclic graphs Description An account of the resource A total global dominator coloring of a graph G is a proper vertex coloring of G with respect to which every vertex v in V dominates a color class, not containing v and does not dominate another color class. The minimum number of colors required in such a coloring of G is called the total global dominator chromatic number, denoted by Xtgd (G). In this paper, the total global dominator chromatic number of trees and unicyclic graphs are explored. 2023 University of Baghdad. All rights reserved. Creator An entity primarily responsible for making the resource Chithra K.P.; Joseph M. Source A related resource from which the described resource is derived Baghdad Science Journal, Vol-20, No. 4, pp. 1380-1386. Publisher An entity responsible for making the resource available University of Baghdad 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/10.21123/bsj.2023.6457" target="_blank" rel="noreferrer noopener">https://doi.org/10.21123/bsj.2023.6457</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85173481589&doi=10.21123%2Fbsj.2023.6457&partnerID=40&md5=6b5ad19298a8604b06a63efbab3d1229" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85173481589&doi=10.21123%2fbsj.2023.6457&partnerID=40&md5=6b5ad19298a8604b06a63efbab3d1229</a> Rights Information about rights held in and over the resource All Open Access; Gold Open Access Relation A related resource ISSN: 20788665 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 Chithra K.P., Department of Mathematics, Christ University, Karnataka, Bangalore, 560029, India; Joseph M., Department of Mathematics, Christ University, Karnataka, Bangalore, 560029, India Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource 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 Total domination coloring of graphs Subject The topic of the resource Domination coloring; Dominator coloring; Total domination coloring; Total dominator coloring Description An account of the resource A total domination coloring of a graph G is a proper coloring of G in which open neighbourhood of each vertex contains at least one color class and each color class is dominated by at least one vertex. The minimum number of colors required for a total domination coloring of G is called the total domination chromatic number of G and is denoted by ctd(G). In this paper, we study the total domination chromatic number of some graph classes. The bounds of total domination chromatic number with respect to the graph parameters such as the domination number, chromatic number, total dominator chromatic number and total domination number are also studied. 2021 the author(s). Creator An entity primarily responsible for making the resource Chithra K.P.; Joseph M. Source A related resource from which the described resource is derived Journal of Mathematical and Computational Science, Vol-11, No. 1, pp. 442-458. Publisher An entity responsible for making the resource available SCIK Publishing Corporation 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/10.28919/jmc/5073" target="_blank" rel="noreferrer noopener">https://doi.org/10.28919/jmc/5073</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85100205567&doi=10.28919%2Fjmc%2F5073&partnerID=40&md5=2fde50d064c55716ff336fa0e421f20b" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85100205567&doi=10.28919%2fjmc%2f5073&partnerID=40&md5=2fde50d064c55716ff336fa0e421f20b</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 19275307 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 Chithra K.P., Department of Mathematics, CHRIST (Deemed to be University), Bangalore, Karnataka, 560029, India; Joseph M., Department of Mathematics, CHRIST (Deemed to be University), Bangalore, Karnataka, 560029, India