462 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 ENHANCING FOREST ECOSYSTEM RESILIENCE TO CLIMATE CHANGE WITH VANET AND INTEGRATED NATURAL RESOURCES MODELLING Subject The topic of the resource adaptive management; climate change; early warning system; environmental sensors; forest ecosystems; integrated modelling; Vehicular Ad Hoc Networks Description An account of the resource Forest ecosystems are immediately threatened by rising global temperatures and changing climatic patterns. Periodic assessments also contribute to a reduction in the frequency of monitor-ing, which could cause environmental changes to go unnoticed. This work develops a novel real-time monitoring and early warning system to meet this difficulty. By integrating Vehicular Ad Hoc Networks (VANET) with sophisticated natural resources modelling, the proposed method aims to revolutionise the way forest ecosystems are managed. This study strives to design and implement a comprehensive system that harnesses the power of VANET to collect real-time data from sensors deployed on vehicles, and integrates advanced modelling to predict, assess, and mitigate risks to forest ecosystems. The proposed method involves deploying a network of vehicles equipped with environmental sensors within VANET. These sensors continuously collect data on crucial environmental parameters, such as temperature, humidity, air quality, and spatial information. The data are transmitted through a secure VANET communication protocol to a centralised processing unit, where it is integrated with climate models and ecosystem dynamics models. Resilience metrics and thresholds are defined to trigger a tiered early warning system. Preliminary testing of the system demonstrates promising accuracy and responsiveness. The integrated approach allows for dynamic risk assessment, enabling the identification of potential threats such as extreme weather events, invasive species, or disease outbreaks. Early warnings prompt adaptive management strategies, showcasing the systems potential to significantly enhance forest ecosystem resilience. This research presents a pioneering solution to the escalating challenges faced by forest ecosystems in the time of climate change. The real-time monitoring, early warning system, amalgamating VANET and integrated modelling, stand as a robust tool for forest managers, policymakers, and communities to proactively address environmental changes. The findings underscore the systems potential to transform forest management practices, marking a critical step toward sustainable and resilient ecosystems. 2024, Scibulcom Ltd. All rights reserved. Creator An entity primarily responsible for making the resource Satish N.; Premkumar M.; Yuvaraj N.; Anand R.; Suganthi D.; Acharjee P.B.; Rajaram A. Source A related resource from which the described resource is derived Journal of Environmental Protection and Ecology, Vol-25, No. 1, pp. 247-256. Publisher An entity responsible for making the resource available Scibulcom 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="" target="_blank" rel="noreferrer noopener"></a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85187192875&partnerID=40&md5=92f934cd91f37a18bee30e5a7cbcf9d2" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85187192875&partnerID=40&md5=92f934cd91f37a18bee30e5a7cbcf9d2</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 13115065 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 Satish N., Department of Information Technology, Mahendra Institute of Technology, Mallasamudharam, Namakkal, India; Premkumar M., Department of Information Technology, Mahendra Institute of Technology, Mallasamudharam, Namakkal, India; Yuvaraj N., Department of Computer Science and Engineering, KSR College of Engineering, Namakkal, Thiruchengode, India; Anand R., Department of Computer Science and Engineering, Prathyusha Engineering College, Thiruvallur, Tamil Nadu, Aranvoyalkuppam, India; Suganthi D., Department of Computer Science, Saveetha College of Liberal Arts and Sciences, Thandalam, Chennai, India; Acharjee P.B., CHRIST University, Lavasa Campus, Pune, India; Rajaram A., Department of Electronics and Communication Engineering, E.G.S Pillay Engineering College, Tamil Nadu, Nagapattinam, 611 002, 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 Applications of neuroscience in education practices: A research review in cognitive neuroscience Subject The topic of the resource Applications of neuroscience; Brain-based learning; Circadian rhythms; Circadian rhythms and learning; Classroom applications of neuroscience; Education; Modulating teaching practices; Neuroscience; Neuroscientific research; Research in education; Scientific progress for teaching and learning Description An account of the resource The human brain is the most complex and mysterious organ in the body responsible for learning. Applications of neuroscience and genetics need to be comprehended to modulate teaching and learning practices in education. Considering the scope for application of advanced sciences in education practices, this book chapter simplifies and reviews ten critical research findings relevant for students and teachers for classroom applications and for modulating learning patterns for different age groups. The concept is also relevant for parents and the academic fraternity at large. The Author(s), under exclusive license to Springer Nature Switzerland AG 2021. All rights reserved. Creator An entity primarily responsible for making the resource Satralkar M.; Cherian J.; Thomas K.A. Source A related resource from which the described resource is derived Neuro-Systemic Applications in Learning, pp. 117-135. Publisher An entity responsible for making the resource available Springer International Publishing Date A point or period of time associated with an event in the lifecycle of the resource 2021-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1007/978-3-030-72400-9_6" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-3-030-72400-9_6</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85165586303&doi=10.1007%2F978-3-030-72400-9_6&partnerID=40&md5=eddd326764d8359dca2839bc746c67f0" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85165586303&doi=10.1007%2f978-3-030-72400-9_6&partnerID=40&md5=eddd326764d8359dca2839bc746c67f0</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 978-303072400-9; 978-303072399-6 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 Satralkar M., School of Education, CHRIST (Deemed to be University), Bengaluru, Karnataka, India; Cherian J., School of Education, CHRIST (Deemed to be University), Bengaluru, Karnataka, India; Thomas K.A., School of Education, Centre for Education Beyond Curriculum (CEDBEC), CHRIST (Deemed to be University), Bengaluru, Karnataka, India Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource 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 Metal-Free KOtBu-Mediated Protocol towards the Synthesis of Quinolines, Indenoquinolines and Acridines Subject The topic of the resource Acridines; Indenoquinolines; KOtBu; Naphthyridines; Quinolines Description An account of the resource An expeditious strategy has been developed for the synthesis of diverse quinolines, indenoquinolines and acridines using KOtBu-mediated reaction conditions. The designed process utilizes 2-aminoaryl carbaldehydes/2-aminoaryl ketones and methyl/methylene group containing ketones as readily available feedstock. The chemical transformation was affected at room temperature within a short duration of time to obtain diverse N-heterocycles yields up to 92 %. The established process also exhibits considerable functional group tolerance with an operational simplicity. 2024 Wiley-VCH GmbH. Creator An entity primarily responsible for making the resource Satya Kishore P.; Gujjarappa R.; Jagdishbhai Patel M.; Polina S.; Kishore Putta V.P.R.; Singh V.; Malakar C.C.; Pralhad Pujar P. Source A related resource from which the described resource is derived ChemistrySelect, Vol-9, No. 4 Publisher An entity responsible for making the resource available John Wiley and Sons Inc Date A point or period of time associated with an event in the lifecycle of the resource 2024-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1002/slct.202304897" target="_blank" rel="noreferrer noopener">https://doi.org/10.1002/slct.202304897</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85182806309&doi=10.1002%2Fslct.202304897&partnerID=40&md5=7ec5d81cea645c94947acd528ac9f9c3" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85182806309&doi=10.1002%2fslct.202304897&partnerID=40&md5=7ec5d81cea645c94947acd528ac9f9c3</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 23656549 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 Satya Kishore P., Department of Chemistry, CHRIST (Deemed to be University), Bangalore, 560029, India; Gujjarappa R., Department of Chemistry, National Institute of Technology Manipur, Langol, Imphal, Manipur, 795004, India; Jagdishbhai Patel M., Department of Chemistry, Indian Institute of Technology Guwahati, Assam, Guwahati, 781 039, India; Polina S., Department of Chemistry, CHRIST (Deemed to be University), Bangalore, 560029, India; Kishore Putta V.P.R., Department of Chemistry, CHRIST (Deemed to be University), Bangalore, 560029, India; Singh V., Department of Chemistry, Central University of Punjab, Punjab, Bathinda, 151001, India; Malakar C.C., Department of Chemistry, National Institute of Technology Manipur, Langol, Imphal, Manipur, 795004, India; Pralhad Pujar P., Department of Chemistry, CHRIST (Deemed to be University), Bangalore, 560029, India Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Conference Papers Conference Paper Faculty Publications- Conference Papers Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Sentimental analysis on voice using AWS comprehend Subject The topic of the resource Aws Athena; Aws Comprehend; Aws Glue; Lambda; NLP; Quick sight; S3; Sentimental analysis; Transcribe Description An account of the resource Sentimental analysis plays an important role in these days because many start-ups have started with user-driven content [1]. Sentiment analysis is an important research area in natural language processing. Natural language processing has a wide range of applications like voice recognition, machine translation, product review, aspect-oriented product analysis, sentiment analysis and text classification etc [2]. This process will improve the business by analyse the emotions of the conversation. In this project author going to perform sentimental analysis using Amazon Comprehend. Amazon Comprehend is a natural language processing (NLP) service that uses machine learning to extract the content of the document. By using this service can extract the unstructured data like images, voice etc. Thus, will identify the emotions of the conversation and give the output whether the conversation is Positive, Negative, Neutral, or Mixed. To perform this author going to use some services from Aws like s3 which is used for the data store, Transcribe which is used for converting the audio to text, Aws Glue is used to generate the metadata from the comprehend file, Aws Comprehend is used to generate the sentiment file from the audio, Lambda is used to trigger from the data store s3, Aws Athena is used to convert text into structured data and finally there is quick sight where he can visualize the data from the given file. 2020 IEEE. Creator An entity primarily responsible for making the resource Satyanarayana G.; Bhuvana J.; Balamurugan M. Source A related resource from which the described resource is derived 2020 International Conference on Computer Communication and Informatics, ICCCI 2020 Publisher An entity responsible for making the resource available Institute of Electrical and Electronics Engineers Inc. Date A point or period of time associated with an event in the lifecycle of the resource 2020-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/ICCCI48352.2020.9104105" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ICCCI48352.2020.9104105</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85087063912&doi=10.1109%2FICCCI48352.2020.9104105&partnerID=40&md5=af6413e9208aa4532cd692fbb37b1b8a" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85087063912&doi=10.1109%2fICCCI48352.2020.9104105&partnerID=40&md5=af6413e9208aa4532cd692fbb37b1b8a</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 978-172814513-6 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 Satyanarayana G., Jain University, Department of MCA (SCT), Bangalore, India; Bhuvana J., Jain University, Department of MCA, Bangalore, India; Balamurugan M., Christ University, Department of CSE, 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 Cloud based ERP Model using Optimized Load Balancer Subject The topic of the resource Big Data; Business intelligence; data analytics; Database; Deep Learning; Finance marketing Description An account of the resource Enterprise Resource Planning (ERP) and Cloud computing are turning out to be increasingly more significant in the field of Information Technology (IT) furthermore, Communication. These are two distinct segments of current data frameworks, and there are a few inside and out examinations about Enterprise Resource Planning on cloud computing framework. ERP frameworks are related with a few issues, for example, shared synchronization of multi-composed assets, constrained customization, massive overhauling cost, arrangement mix, industry usefulness, reinforcement support and innovation refreshes. These issues render ERP frameworks execution excruciating, complex and time-devouring and create the need for a huge change in ERP structure to upgrade ERP frameworks foundation and usefulness. Cloud Computing (CC) stages can defeat ERP frameworks inconsistencies with financially savvy, redid and profoundly accessible figuring assets. The objective of this examination is to blend ERP and CC benefits to lessen the factor of consumption cost and execution delays through a proposed system. For this reason, investigate the unmistakable issues in current ERP frameworks through a complete correlation between ERP when moving to CC condition. Also, a conventional structure is proposed for 'Cloud-based ERP frameworks'. 2020 IEEE. Creator An entity primarily responsible for making the resource Saurabh; Jayapandian N. Source A related resource from which the described resource is derived Proceedings of the International Conference on Electronics and Sustainable Communication Systems, ICESC 2020, pp. 603-607. Publisher An entity responsible for making the resource available Institute of Electrical and Electronics Engineers Inc. Date A point or period of time associated with an event in the lifecycle of the resource 2020-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/ICESC48915.2020.9155684" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ICESC48915.2020.9155684</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85090841868&doi=10.1109%2FICESC48915.2020.9155684&partnerID=40&md5=637200028cb02f12674c6b32e3f9d15d" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85090841868&doi=10.1109%2fICESC48915.2020.9155684&partnerID=40&md5=637200028cb02f12674c6b32e3f9d15d</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 978-172814108-4 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 Saurabh, Cse, Christ Deemed to Be University, Kengeri Campus, Bangalore, India; Jayapandian N., Cse, Christ Deemed to Be University, Kengeri Campus, Bangalore, India Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource 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 Workplace bullying in the service sector Subject The topic of the resource Adult bullying; work harassment scale; workplace bullying Description An account of the resource Context: Bullying is a problem that people, the world over, grapple with. It is manifest in different forms among different sections of people. Despite its prevalence, workplace bullying has not received much attention in scholarly literature in India. It is also not widely acknowledged as a threat to individual and organizational well-being. The purpose of this study is to add to the existing body of literature on the topic and to draw attention to the gravity of the issue. Aims: The primary objectives are to identify if there exist variations in its incidence on the basis of gender and years of experience, to identify the source of negative behavior, and the type of bullying that is most prevalent. Settings and Design: The study is a type of cross-sectional, descriptive study. Subjects and Methods: Data have been collected from a sample of 84 respondents using the Work Harassment Scale. All respondents are white-collar employees of the service sector in the cities of India. The data were analyzed using IBM SPSS v25. Results: The results find that there is no difference in the incidence of bullying on the basis of either gender or years of experience. Moreover, the source of negative behavior is generally one's superiors, and the most prevalent type is 'verbal aggression.' Conclusions: The study concludes with suggestions of steps to be implemented at the national and organizational level, to combat the problem. 2022 Authors. All rights reserved. Creator An entity primarily responsible for making the resource Savapandit N.; Bharathi Source A related resource from which the described resource is derived Indian Journal of Social Psychiatry, Vol-38, No. 2, pp. 143-147. Publisher An entity responsible for making the resource available Wolters Kluwer Medknow Publications 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/10.4103/ijsp.ijsp_176_20" target="_blank" rel="noreferrer noopener">https://doi.org/10.4103/ijsp.ijsp_176_20</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85150907777&doi=10.4103%2Fijsp.ijsp_176_20&partnerID=40&md5=57727d0dd835b8aef84b9131e0ef6370" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85150907777&doi=10.4103%2fijsp.ijsp_176_20&partnerID=40&md5=57727d0dd835b8aef84b9131e0ef6370</a> Rights Information about rights held in and over the resource All Open Access; Gold Open Access Relation A related resource ISSN: 9719962; CODEN: ISPSE 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 Savapandit N., Department of Sociology and Social Work, CHRIST (Deemed to be University), Karnataka, Bengaluru, India; Bharathi, Department of Sociology and Social Work, CHRIST (Deemed to be University), Karnataka, Bengaluru, India https://archives.christuniversity.in/files/original/f29398a7487e5de6d1739cf99145f2f6.pdf d27c9664050cdbbd01f62694f729b526 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource MPHIL Mphil Mphil Thesis Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource STUDY ON ORGANIZATIONAL CULTURE IN RELATION TO HUMAN RESOURCE MANAGEMENT PRACTICES IN HOTEL INDUSTRY IN BANGALORE Creator An entity primarily responsible for making the resource Savio Nigli Kerwin Date A point or period of time associated with an event in the lifecycle of the resource 2012 Source A related resource from which the described resource is derived Management Studies Description An account of the resource This research focuses and examines the relationship between organizational culture and human resource management practices in hotel industry in Bangalore. Organizational culture is palpable in any organization which has a diversified work force. Hotel industry is built with employees with various values and beliefs. These factors reflect in the culture and are related with the various human resource management practices. There is a significant relationship between organizational culture and human resource management practices in the hotel industry in Bangalore. There were eleven dimensions of organizational culture and thirteen dimensions of human resource management practices that were considered for examining the relationship between organizational culture and human resource management practices. The sample for the study was 135 mid-level managers of different category of hotels in the geographical location of Bangalore. Organizational culture survey scale developed by Pareek, U. (2003) and human resource management practices scale developed by Sebastian, S., & Patrick, H. A. (2010) was administered for this study. This research concludes by the finding fact that there is significant relationship between organizational culture and human resource management practices in the hotel industry. The study also shows that the culture in hotel industry is narcissistic. Keywords: Organizational culture, Human resource management practices, hotel industry 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 Intensity of hospital waste generation and disposal in the selected hospitals in Kerala, India: an analysis based on hospital ownership Subject The topic of the resource Disposal; Hospital waste generation rate; Hospital waste management; Ownership-wise; Treatment Description An account of the resource Management of hospital wastes has been considered as an integral part of hospital hygiene and infection control, which in turn depends on the intensity of waste generation and disposal. This study analyses the ownership-wise intensities of hospital waste generated, treated and disposed in the selected hospitals in the state of Kerala, India. These intensities are examined using secondary data collected from four districts of Kerala for the period from 2010 to 2014. The intensity of hospital waste generation is measured on the basis of per bed per kilogram per day and also per patient per kilogram per day basis. The study shows that private hospitals are producing significantly higher amount of waste than government and co-operative hospitals. However, private hospitals are found to be more efficient compared to government hospitals in treating and disposing the hospital waste. It is also found that the co-operative hospitals are well-organized in treating and disposing the liquid waste compared with other hospitals in Kerala. 2023, The Author(s), under exclusive licence to Springer Nature Japan KK, part of Springer Nature. Creator An entity primarily responsible for making the resource Savitha K.L.; Joseph T.J. Source A related resource from which the described resource is derived Journal of Material Cycles and Waste Management, Vol-25, No. 3, pp. 1760-1770. 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 2023-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1007/s10163-023-01649-0" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/s10163-023-01649-0</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85151476375&doi=10.1007%2Fs10163-023-01649-0&partnerID=40&md5=82086dff94482d8a428085f02e991aa1" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85151476375&doi=10.1007%2fs10163-023-01649-0&partnerID=40&md5=82086dff94482d8a428085f02e991aa1</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 14384957 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 Savitha K.L., Department of Economics, Christ University, Yeshwanthpur Campus, Bangalore, 560058, India; Joseph T.J., Department of Economics, Central University of Kerala, Kerala, Kasaragod, 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 CloudML: Privacy-Assured Healthcare Machine Learning Model for Cloud Network Subject The topic of the resource Cloud privacy; Clustering; Encryption; Healthcare datasets; Machine learning; Network performance Description An account of the resource Cloud computing is the need of the twenty-first century with an exponential increase in the volume of data. Compared to any other technologies, the cloud has seen fastest adoption in the industry. The popularity of cloud is closely linked to the benefits it offers which ranges from a group of stakeholders to huge number of entrepreneurs. This enables some prominent features such as elasticity, scalability, high availability, and accessibility. So, the increase in popularity of the cloud is linked to the influx of data that involves big data with some specialized techniques and tools. Many data analysis applications use clustering techniques incorporated with machine learning to derive useful information by grouping similar data, especially in healthcare and medical department for predicting symptoms of diseases. However, the security of healthcare data with a machine learning model for classifying patients information and genetic data is a major concern. So, to solve such problems, this paper proposes a Cloud-Machine Learning (CloudML) Model for encrypted heart disease datasets by employing a privacy preservation scheme in it. This model is designed in such a way that it does not vary in accuracy while clustering the datasets. The performance analysis of the model shows that the proposed approach yields significant results in terms of Communication Overhead, Storage Overhead, Runtime, Scalability, and Encryption Cost. 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. Creator An entity primarily responsible for making the resource Savitha S.; Ravichandran S.K. Source A related resource from which the described resource is derived Lecture Notes in Networks and Systems, Vol-213, pp. 51-64. 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 2022-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1007/978-981-16-2422-3_5" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-981-16-2422-3_5</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85115172237&doi=10.1007%2F978-981-16-2422-3_5&partnerID=40&md5=df2db7df7e45b9f22f7a937c73565bf3" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85115172237&doi=10.1007%2f978-981-16-2422-3_5&partnerID=40&md5=df2db7df7e45b9f22f7a937c73565bf3</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 23673370; ISBN: 978-981162421-6 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 Savitha S., Department of Computer Science and Engineering, Christ University, Bangalore, India; Ravichandran S.K., Department of Computer Science and Engineering, Christ University, Bangalore, India Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource 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 Perceptive VM Allocation in Cloud Data Centers for Effective Resource Management Subject The topic of the resource Cloud Computing; Parallelization; Prediction Model; Resource Management; VM Allocation Description An account of the resource Virtual Machine allocation in cloud computing centers has become an important research area. Efficient VM allocation can reduce power consumption and average response time which can benefit both the end users as well as the cloud vendors. This work presents a perceptive priority aware VM allocation policy named P-PAVA algorithm, which takes into account the priority of an application along with its compute, memory and bandwidth requirement. The algorithm performs allocation of the applications based on the priority it gets using a machine learning based prediction model. Furthermore, to reduce the overhead of the allocation algorithm, parallelization is employed before assigning various workloads. To achieve this, the algorithm employs the First fit technique as a baseline for the requests allocation with a criteria as low priority. When compared to the state of the art algorithm for VM allocation for priority aware applications, P-PAVA performs better on several criteria such as average response time, execution time and power consumption. 2021 IEEE. Creator An entity primarily responsible for making the resource Savitha S.; Salvi S. Source A related resource from which the described resource is derived 2021 6th International Conference for Convergence in Technology, I2CT 2021 Publisher An entity responsible for making the resource available Institute of Electrical and Electronics Engineers Inc. Date A point or period of time associated with an event in the lifecycle of the resource 2021-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/I2CT51068.2021.9417960" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/I2CT51068.2021.9417960</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85106470103&doi=10.1109%2FI2CT51068.2021.9417960&partnerID=40&md5=7609a0f44b36449ece544a912ad90478" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85106470103&doi=10.1109%2fI2CT51068.2021.9417960&partnerID=40&md5=7609a0f44b36449ece544a912ad90478</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 978-172818876-8 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 Savitha S., Christ University, Department of Computer Science Engineering, Bangalore, India; Salvi S., National Institute of Technology Karnataka, Department of Information Technology, Surathkal, 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 Effectiveness of gamification in facilitating microlearning for gen Z Description An account of the resource This chapter offers a thorough examination of the uses, advantages, and difficulties of gamification in higher education. In contrast to game-based learning, gamification uses specific game features to improve the learning experience. This chapter investigates the use of gamification to engage and inspire Generation Z (Gen Z) pupils with the goal of enhancing their academic performance. It underlines the necessity for game development that increases motivation and engagement in educational settings and highlights the measurement of student progress based on completed activities. Effective instructional approaches are crucial in a time where there is a constant stream of information and people have short attention spans. A promising approach to overcoming these difficulties in both online and offline education utilizing ICT technologies is offered as gamified microlearning, which combines microlearning and games. 2024, IGI Global. Creator An entity primarily responsible for making the resource Savithri M.; Philip S.; Sharma T.; Singh N.K. Source A related resource from which the described resource is derived Global Perspectives on Micro-Learning and Micro-Credentials in Higher Education, pp. 137-158. 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 2024-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.4018/979-8-3693-0343-6.ch009" target="_blank" rel="noreferrer noopener">https://doi.org/10.4018/979-8-3693-0343-6.ch009</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85189061226&doi=10.4018%2F979-8-3693-0343-6.ch009&partnerID=40&md5=e74e9ab5b5d9e0cbec713eb2be944d8a" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85189061226&doi=10.4018%2f979-8-3693-0343-6.ch009&partnerID=40&md5=e74e9ab5b5d9e0cbec713eb2be944d8a</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 979-836930345-0; 979-836930343-6 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 Savithri M., Christ University, India; Philip S., Christ University, India; Sharma T., Christ University, India; Singh N.K., Christ 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 Editorials Editorial Faculty Publications- Editorial Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Women at work: The cultural and creative industries Description An account of the resource [No abstract available] Creator An entity primarily responsible for making the resource Sawhney R. Source A related resource from which the described resource is derived Studies in South Asian Film and Media, Vol-11, No. 2, pp. 167-172. Publisher An entity responsible for making the resource available Intellect Ltd. 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/10.1386/safm_00026_2" target="_blank" rel="noreferrer noopener">https://doi.org/10.1386/safm_00026_2</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85102821944&doi=10.1386%2Fsafm_00026_2&partnerID=40&md5=e5e979da122f2542ee8b489484221718" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85102821944&doi=10.1386%2fsafm_00026_2&partnerID=40&md5=e5e979da122f2542ee8b489484221718</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 17564921 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Editorial Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Sawhney R., Dept. of English and Cultural Studies, Christ University, Bangalore, India Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource 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 Classification of financial news articles using machine learning algorithms Subject The topic of the resource Classifications; n-grams; Stock market; Support vector machine; Text mining Description An account of the resource The opinion helps in determining the direction of the stock market. Information hidden in news articles is an information treasure which needs to be extracted. The present study is conducted to explore the application of text mining in binning the financial articles according to the opinion expressed inside them. It is discovered that using the tri-n-gram feature extraction process in conjugation with Support Vector machines increases the reliability and precision of the binning process. The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd 2021. Creator An entity primarily responsible for making the resource Saxena A.; Banik A.; Saswat C.; Joan Jose M.; Bhagat V. Source A related resource from which the described resource is derived Lecture Notes in Networks and Systems, Vol-132, pp. 193-199. 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 2021-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1007/978-981-15-5309-7_20" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-981-15-5309-7_20</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85090375590&doi=10.1007%2F978-981-15-5309-7_20&partnerID=40&md5=547939bc37d8157d9d15e0a7debf0c17" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85090375590&doi=10.1007%2f978-981-15-5309-7_20&partnerID=40&md5=547939bc37d8157d9d15e0a7debf0c17</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 23673370 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 Saxena A., CHRIST (Deemed to be University), Bengaluru, India; Banik A., CHRIST (Deemed to be University), Bengaluru, India; Saswat C., CHRIST (Deemed to be University), Bengaluru, India; Joan Jose M., CHRIST (Deemed to be University), Bengaluru, India; Bhagat V., 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 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 Reading behind the tweets: A sentiment Clustering Approach Subject The topic of the resource Crude oil; prices; sentiment analysis; topic modeling; tweets Description An account of the resource Market sentiment influence crude oil future prices in direct or indirect way. In order to measure the polarity of market sentiment various techniques has been deployed by industry and academia alike. This pilot study successfully introduced two instruments, namely topic modeling and Sentiment clustering, to unearth the prevailing sentiments behind crude oil future pricesThree main conclusions that can be drawn from empirical results are. First, the K-Means clustering algorithm is an effective technique for sentiment clustering compared to Louveian and MDS clustering techniques. Second sentiment polarity-related positive sentiments have shown more variations in comparison to neutral and negative sentiments. Third It is possible to extract the keywords related to essential factors influencing crude oil prices using the LDA technique under topic modeling 2022 IEEE. Creator An entity primarily responsible for making the resource Saxena A.; Bhagat V.; Mahajan J. Source A related resource from which the described resource is derived 2022 International Conference on Advanced Computing Technologies and Applications, ICACTA 2022 Publisher An entity responsible for making the resource available Institute of Electrical and Electronics Engineers Inc. Date A point or period of time associated with an event in the lifecycle of the resource 2022-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/ICACTA54488.2022.9753107" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ICACTA54488.2022.9753107</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85129202605&doi=10.1109%2FICACTA54488.2022.9753107&partnerID=40&md5=84aa518054ccdd6d5d63beb342d87b3c" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85129202605&doi=10.1109%2fICACTA54488.2022.9753107&partnerID=40&md5=84aa518054ccdd6d5d63beb342d87b3c</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 978-166549515-8 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 Saxena A., Christ University, India; Bhagat V., Christ University, India; Mahajan J., Christ 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 Insurance Data Analysis with COGNITO: An Auto Analysing and Storytelling Python Library Subject The topic of the resource auto-analysis; automation; encoding; Feature engineering; NLP; pre-processing; problem solving; storytelling Description An account of the resource Data pre-processing has taken an enhanced role with the advent of Machine learning. It is a vital element that forms the encore of the data science and business analytics process. Data pre-processing involves generating descriptive statistical summary, data cleaning, and data manipulation based on inputs gained after the initial analysis. Of late, it has been observed that data science practitioners spend 45% to 50% of their time cleaning and processing the data. Much time can be saved if the data transformation process can be automated. The COGNITO framework helps in performing the automated feature engineering and data storytelling of the dataset based on end-user discretion. The present work discusses the process and results obtained when automated feature engineering was performed on an insurance dataset using COGNITO. 2021 IEEE. Creator An entity primarily responsible for making the resource Saxena A.; Bhagat V.V.; Robins B. Source A related resource from which the described resource is derived 2021 International Conference on Intelligent Technologies, CONIT 2021 Publisher An entity responsible for making the resource available Institute of Electrical and Electronics Engineers Inc. Date A point or period of time associated with an event in the lifecycle of the resource 2021-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/CONIT51480.2021.9498523" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/CONIT51480.2021.9498523</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85114889720&doi=10.1109%2FCONIT51480.2021.9498523&partnerID=40&md5=103312d41cb022a71288e7a360e6bfa9" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85114889720&doi=10.1109%2fCONIT51480.2021.9498523&partnerID=40&md5=103312d41cb022a71288e7a360e6bfa9</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 978-172818583-5 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Conference paper Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Saxena A., Christ University, Management Studies, Bangalore, India; Bhagat V.V., Christ University, Data Science, Bangalore, India; Robins B., Data Science Cleverinsight Inc., 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 The Intellectual Structure of Application of Artificial Intelligence in Forecasting Methods: A Literature Review using Bibliometric Thematic Analysis Description An account of the resource Crude oil is a valuable asset class which forms the nucleus of the energy core of the transport sector for any country. According to report [1], crude oil helps in meeting 93% of energy needs for the transportation sector globally. It has been projected across various forums that crude oil along with coal and natural gas is going to satisfy world energy needs for the forthcoming years. Consequently, it has been observed that fluctuations in crude oil prices tilt the economies of scale across the world. 2024 Sachi Nandan Mohanty, Preethi Nanjundan and Tejaswini Kar. Creator An entity primarily responsible for making the resource Saxena A.; Mahajan J.; Bhagat V.; Subha M.V.; Paul B.P.; Jain V. Source A related resource from which the described resource is derived Artificial Intelligence in Forecasting: Tools and Techniques, pp. 283-303. Publisher An entity responsible for making the resource available CRC Press Date A point or period of time associated with an event in the lifecycle of the resource 2024-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1201/9781003399292-18" target="_blank" rel="noreferrer noopener">https://doi.org/10.1201/9781003399292-18</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85195934461&doi=10.1201%2F9781003399292-18&partnerID=40&md5=2005295d66bbeaa2f32b1306d9cf4155" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85195934461&doi=10.1201%2f9781003399292-18&partnerID=40&md5=2005295d66bbeaa2f32b1306d9cf4155</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 978-104005150-4; 978-103250615-9 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Book chapter Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Saxena A., Christ University, India; Mahajan J., Christ University, India; Bhagat V., Christ University, India; Subha M.V., Anna University, India; Paul B.P., Christ Academy, India; Jain V., Marwadi 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 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 Designing an artificial intelligence-enabled large language model for financial decisions Subject The topic of the resource Artificial intelligence; Financial analytics; Financial decision; FinSageNet; Large language models Description An account of the resource Purpose: Artificial intelligence (AI) has profoundly reshaped financial decision-making, introducing a paradigm shift in how institutions and individuals navigate the complex finance landscape. The study evaluates the significant impact of integrating advanced AI and large language models (LLMs) in financial decision analytics. Design/methodology/approach: The study offers FinSageNet, a novel framework designed and tested to harness the potential of LLMs in financial decisions. The framework excels in handling and analyzing large volumes of numerical and textual data through advanced data mining techniques. Findings: FinSageNet demonstrates exceptional text summarization capabilities, outperforming models like FLAN and GPT-3.5 in Rouge score metrics. The proposed model has shown more accuracy than generic models. Originality/value: The study emphasizes the significance of consistently updating models and adopting a comprehensive approach to integrating AI into financial decisions. This study improves our understanding of how artificial intelligence transforms financial analytics and decision-making processes. 2025, Emerald Publishing Limited. Creator An entity primarily responsible for making the resource Saxena A.; Rishi B. Source A related resource from which the described resource is derived Management Decision Publisher An entity responsible for making the resource available Emerald Publishing Date A point or period of time associated with an event in the lifecycle of the resource 2025-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1108/MD-02-2024-0305" target="_blank" rel="noreferrer noopener">https://doi.org/10.1108/MD-02-2024-0305</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85216339102&doi=10.1108%2FMD-02-2024-0305&partnerID=40&md5=d612ef79f97e1f9611a0bb2ca6d15a18" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85216339102&doi=10.1108%2fMD-02-2024-0305&partnerID=40&md5=d612ef79f97e1f9611a0bb2ca6d15a18</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 251747 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 Saxena A., School of Business and Management, Christ University, Bangalore, India; Rishi B., School of Management and Entrepreneurship, Shiv Nadar Institution of Eminence Deemed to be University, Gautam Buddha Nagar, 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 Stock Market Trend Analysis on Indian Financial News Headlines with Natural Language Processing Subject The topic of the resource Data Mining; Machine Learning; NLP; Sentiment Analysis; stock prediction; Trend Analysis Description An account of the resource Predicting the stock movement in the real-time scenario has been the most challenging and sophisticated in business. This business is affected by several factors from physical to psychological as well as rational to irrational. So far only few aspects have been taken into account while breaking down the conclusion. Implementing sentiment analysis, a subfield of Natural Language Processing (NLP), from the news, social media or financial document, investors decide whether they should invest for the company. The results have shown a significant and a feasible method for predicting the stock market trend with higher accuracy. The current research has mainly focus on finding the sentiment score from the news headlines and finding the hidden trend from it. Further the trading signals are generated based on the prevailing trend and trends are executed by the automated trading system. Using this algorithm, traders can reduce the manual intervention in the buy and sell decisions related to the stock market. 2021 IEEE. Creator An entity primarily responsible for making the resource Saxena A.; Vijay Bhagat V.; Tamang A. Source A related resource from which the described resource is derived 2021 Asian Conference on Innovation in Technology, ASIANCON 2021 Publisher An entity responsible for making the resource available Institute of Electrical and Electronics Engineers Inc. Date A point or period of time associated with an event in the lifecycle of the resource 2021-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/ASIANCON51346.2021.9544965" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ASIANCON51346.2021.9544965</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85117622721&doi=10.1109%2FASIANCON51346.2021.9544965&partnerID=40&md5=190562bf484e813b30b679786d2cbf51" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85117622721&doi=10.1109%2fASIANCON51346.2021.9544965&partnerID=40&md5=190562bf484e813b30b679786d2cbf51</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 978-172818583-5 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Conference paper Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Saxena A., Christ (Deemed to Be University), Bangalore, India; Vijay Bhagat V., Christ (Deemed to Be University), Bangalore, India; Tamang A., Independent Consultant, 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 Framing and control for sustainability of industries Subject The topic of the resource Data analytics; Recycling; Regulatory framework; Sustainability; Sustainability fund; Zero footprint Description An account of the resource Purpose: The paper attempts to frame the challenge of managing the transition to a sustainable economy by way of a conceptual model consisting of a zero-footprint regulatory regime and a sustainability fund. Design/methodology/approach: A conceptual model of the sustainable industrial revolution has been developed based on the learnings from industries such as originators (mining), farming, pharmaceuticals, pesticides and chemicals and long-lasting artefacts against an overall perspective. Findings: It is suggested to have an institutional structural mechanism in place to ensure that footprint is minimized through recycling including refurbishing, resale or transformation. This includes management of recycling businesses through execution of a zero-waste regulatory regime that will build and use a sustainability fund. Research limitations/implications: The limitations of the paper are arising out of the topic being an issue of gigantic proportions with immense complexity. An attempt has been made to bring out the inescapability and the imperative of a sustainable industrial revolution. Practical implications: This paper presents practical aspects such as collusion between trash and recycling businesses, land use and social aspects of criticality of public support. If implemented, the suggested model can make a paradigm shift in the way firms, industry and governments can handle the challenge of sustainability. Originality/value: The value of this conceptual paper lies in an attempt to extend the learning organization framework to the concept of a regulatory model for sustainability that is not limited to the definition of a firm but stands extended to industries and to the economics, land use and demographics of the planet. 2021, Emerald Publishing Limited. Creator An entity primarily responsible for making the resource Saxena R.; Kishore S.; Srivastava V. Source A related resource from which the described resource is derived Technological Sustainability, Vol-1, No. 1, pp. 64-81. Publisher An entity responsible for making the resource available Emerald 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="https://doi.org/10.1108/TECHS-08-2021-0003" target="_blank" rel="noreferrer noopener">https://doi.org/10.1108/TECHS-08-2021-0003</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85165442265&doi=10.1108%2FTECHS-08-2021-0003&partnerID=40&md5=74969a2fafa81c0580a88c7863b8b877" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85165442265&doi=10.1108%2fTECHS-08-2021-0003&partnerID=40&md5=74969a2fafa81c0580a88c7863b8b877</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 27541312 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 Saxena R., Cobot Systems, Bengaluru, India; Kishore S., Indian Railways, Rail Wheel Factory, Bengaluru, India; Srivastava V., School of Business and Management, Christ University, Bengaluru, India https://archives.christuniversity.in/files/original/a318954763d6212fdf37c62b853a9dcc.png ae8597b1fb62da5294ca14f6fc0ece85 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Patents Subject The topic of the resource Patent Description An account of the resource Patent Patent Patents Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Prehistorian indoor navigation based on sensory invasion for visually challenged people / Subject The topic of the resource Physics Description An account of the resource Patent Number: 202141024018, Applicant: Dr. M. Kasiselvanathan. In this era, navigation continues to be a vital component in both outdoor and indoor environments, and many solutions have been given in both cases. Usually GPS is used for navigation, but in an indoor or underground environment, its signal is almost never available. In this work, we used LiDAR (Light Detection And Ranging) sensor and IMU sensor. LIDAR sensor is a famous remote sensing strategy utilized for estimating the specific distance of an item on the world's surface. Creator An entity primarily responsible for making the resource Saxena, Anshul. Source A related resource from which the described resource is derived <a href="https://drive.google.com/file/d/1iVeauPMZ3nxiIB0ySe-xE3GqdK17xGZy/view" target="_blank" title="Prehistorian indoor navigation based on sensory invasion for visually challenged people /" rel="noreferrer noopener">https://drive.google.com/file/d/1iVeauPMZ3nxiIB0ySe-xE3GqdK17xGZy/view</a> Publisher An entity responsible for making the resource available Intellectual Property India Date A point or period of time associated with an event in the lifecycle of the resource 2021-03-29 Language A language of the resource English Type The nature or genre of the resource Patent