340 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 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 Automated Leukaemia Prediction and Classification Using Deep Learning Techniques Subject The topic of the resource accuracy; activation function; and associative memory; bone marrow; classification; DL; Leukaemia; neural network; neurons Description An account of the resource Leukemia is typically diagnosed based on an abnormal blood count, frequently an elevated White Blood Cell (WBC) count. The diagnosis is established through bone marrow, replaced by neoplastic cells. Acute Lymphoblastic Leukemia (ALL) is a type of leukaemia that affects the blood and bone marrow. Leukaemia primarily affects children and adults around the world. Early leukaemia detection is critical for appropriately treating patients, especially children. This research aims to present a diagnostic method that uses computational intelligence and image processing algorithms to identify blast cells from ALL images. The medical image is prepared initially using the preprocessing and segmentation technique for efficient classification. In this research, the type is accomplished using Bidirectional Associative Memory Neural Networks (BAMNN), where the accuracy is 96.87%, the highest classification rate and outperforms the existing technique. 2023 IEEE. Creator An entity primarily responsible for making the resource Narendran M.; Amarendra K.; Revathy D.; Divyapushpalakshmi M.; Sharma D.K.; Upreti K. Source A related resource from which the described resource is derived 2023 International Conference on Communication, Security and Artificial Intelligence, ICCSAI 2023, pp. 420-425. 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/ICCSAI59793.2023.10421708" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ICCSAI59793.2023.10421708</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85186641652&doi=10.1109%2FICCSAI59793.2023.10421708&partnerID=40&md5=76197f35db710995a317bfa5462e7c87" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85186641652&doi=10.1109%2fICCSAI59793.2023.10421708&partnerID=40&md5=76197f35db710995a317bfa5462e7c87</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 979-835036996-0 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Conference paper Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Narendran M., Kcg College of Technology, Department of Information Technology, Tamil Nadu, Chennai, India; Amarendra K., Koneru Lakshmaiah Education Foundation, Department of Computer Science and Engineering, Andhra Pradesh, Vaddeswaram, 522502, India; Revathy D., Karpaga Vinayaga College of Engineering and Technology, Department of Computer Science and Engineering, Tamil Nadu, Chengalpet, India; Divyapushpalakshmi M., Gitam University, Department of Computer Science and Engineering, Bengaluru, 561203, India; Sharma D.K., Jaypee University of Engineering and Technology, Department of Mathematics, Madhya Pradesh, Guna, 473226, India; Upreti K., Christ (Deemed to Be University), Department of Computer Science, Delhi -NCR, Ghaziabad, 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 An Efficient Quantum Transfer Learning for Cancer Prediction Using Tumour Markers: New Era of Computer in Medical Subject The topic of the resource accuracy; antigen; biomarkers; diagnosis; ovarian cancer; prediction; prognosis; Quantum learning; transfer learning; tumour Description An account of the resource Ovarian cancer prediction models or algorithms estimate a person's risk of getting the disease based on different variables, such as their medical history, genetics, and biomarkers. Early identification and intervention will enhance patient successive diagnosis outcomes. Tumour markers are chemicals frequently detected in higher concentrations than usual in cancer patient's blood, urine, or tissues. They could be certain chemicals or proteins linked to the presence of tumours or cancer kinds. Tumour markers are employed for diagnosis, prognosis, and treatment response monitoring. Applying information or models from one quantum job to enhance the performance of another requires quantum transfer learning. Transferring knowledge from one domain to another seeks to increase learning effectiveness in novel quantum contexts. The main goal of efficient Quantum Transfer Learning (QTL) is to minimize the resources (computer power, data, or time) necessary to transfer between tasks successfully. In this research work, QTL is used to predict Ovarian Cancer (OC) with the assistance of biomarkers. The Quantum Transfer Learning- Ovarian Cancer (QTL-OC) achieves 93.78% accuracy and outperforms the existing techniques. 2023 IEEE. Creator An entity primarily responsible for making the resource Narendran M.; Andi H.K.; Sharma D.K.; Amarendra K.; Uma S.; Poonia R.C. Source A related resource from which the described resource is derived 2023 International Conference on Communication, Security and Artificial Intelligence, ICCSAI 2023, pp. 432-437. 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/ICCSAI59793.2023.10421549" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ICCSAI59793.2023.10421549</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85186679596&doi=10.1109%2FICCSAI59793.2023.10421549&partnerID=40&md5=b01a0309ee6aed345006b0543ea25a9a" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85186679596&doi=10.1109%2fICCSAI59793.2023.10421549&partnerID=40&md5=b01a0309ee6aed345006b0543ea25a9a</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 979-835036996-0 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Conference paper Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Narendran M., Kcg College of Technology, Department of Information Technology, Tamil Nadu, Chennai, India; Andi H.K., Asia Metropolitan University, Centre for Postgraduate Studies, Malaysia; Sharma D.K., Jaypee University of Engineering and Technology, Department of Mathematics, Madhya Pradesh, Guna, 473226, India; Amarendra K., Koneru Lakshmaiah Education Foundation, Department of Computer Science and Engineering, Andhra Pradesh, Vaddeswaram, 522502, India; Uma S., Dhanalakshmi Srinivasan College of Engineering and Technology, Department of Computer Science and Engineering, Tamil Nadu, Mamallapuram, India; Poonia R.C., Christ (Deemed to Be University), Department of Computer Science, Delhi-NCR, Uttar Pradesh, Ghaziabad, 201003, 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 secure and light weight privacy preserving data aggregation algorithm for wireless sensor networks Subject The topic of the resource Data aggregation; Privacy preserving; Wireless communication; WSN Description An account of the resource WSN is a collection of sensors, which senses critical information related to military, opponent tracking, patient health details etc. These sensed critical and private data will be collected and aggregated by aggregators and forward it to the base station. Due to the involvement of sensitive data, there is a demand for secure transmission and privacy preserving data aggregation. In this paper, we propose a light weight, secure, multi party, privacy preserving data aggregation scheme, in which one or more sensors share their private data with aggregator securely without revealing the original content. The aggregators also perform the aggregation operation without knowing the original content. 2020 Alpha Publishers. Creator An entity primarily responsible for making the resource Naresh Babu M.M.; Chakravarthy A.S.N.; Ravindranath C. Source A related resource from which the described resource is derived Journal of Green Engineering, Vol-10, No. 12, pp. 13329-13336. Publisher An entity responsible for making the resource available Alpha Publishers Date A point or period of time associated with an event in the lifecycle of the resource 2020-01-01 Identifier An unambiguous reference to the resource within a given context <a href="" target="_blank" rel="noreferrer noopener"></a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85099133272&partnerID=40&md5=9f5c5fe9379401449fc69fa77da54351" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85099133272&partnerID=40&md5=9f5c5fe9379401449fc69fa77da54351</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 19044720 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 Naresh Babu M.M., Dept. of Computer Science & Engineering, JNTU Kakinada, Kakinada, A.P, India; Chakravarthy A.S.N., Dept. of Computer Science & Engineering, JNTU Kakinada, Kakinada, A.P, India; Ravindranath C., Dept. of Computer Science & Engineering, Christ 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 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 The Influence of Alloying Constituent Fe on Mechanical Properties of NiTi Based Shape Memory Alloys Subject The topic of the resource Martensite Transformation; Mechanical Properties; Microstructure; Shape Memory Alloy; TiNiFe Description An account of the resource The influences of Fe-addition on phase transformation behavior, mechanical properties and microstructure of Ti50Ni50-xFex alloys were investigated by means of optical microscopy, scanning electron microscopy (SEM) and X-ray diffraction (XRD). Results indicate that, as a substitute for Ni, Fe added to TiNi alloys can dramatically decrease the martensite transformation temperature and R phase transformation and martensite transformation are accordingly separated. The results show that TiNiFe alloys exhibit two-step martensitic transformation. The start temperature of martensitic transformation increases sharply from 212 K to 267 K when 2% Fe is added in, and then decreases gradually if Fe content further increases. The hardness of TiNiFe ternary alloys before heat treatment is constant for up to 6% of the composition and suddenly increases for 9% composition and also it behaves same for heat treated specimens because of formation of equilibrium precipitates Ni3Ti formation. 2017 Elsevier Ltd. Creator An entity primarily responsible for making the resource Naresh H.; Bharath H.S.; Prashantha S. Source A related resource from which the described resource is derived Materials Today: Proceedings, Vol-4, No. 10, pp. 11251-11259. Publisher An entity responsible for making the resource available Elsevier Ltd Date A point or period of time associated with an event in the lifecycle of the resource 2017-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1016/j.matpr.2017.09.047" target="_blank" rel="noreferrer noopener">https://doi.org/10.1016/j.matpr.2017.09.047</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85031783537&doi=10.1016%2Fj.matpr.2017.09.047&partnerID=40&md5=15385f2547093b2bc882fff974b972da" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85031783537&doi=10.1016%2fj.matpr.2017.09.047&partnerID=40&md5=15385f2547093b2bc882fff974b972da</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 22147853 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 Naresh H., Christ University, Bengaluru, 560074, India; Bharath H.S., Siddaganga Institute of Technology, BH Road Tumkur, 572106, India; Prashantha S., Siddaganga Institute of Technology, BH Road Tumkur, 572106, 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 Investigation into the Mechanical, Fatigue and Superplastic Characteristics of Shape Memory Alloys (SMA) in CuAlMn, CuAlBeMn, and CuAlFeMn Compositions and Their Composite Variants Subject The topic of the resource Composite variants; Crack strength; Energy absorption capacity; Materials; Residual strength; Shape memory alloy; Shape recovery Description An account of the resource Shape memory alloys (SMAs) exhibit high sensitivity to compositional changes in terms of their super elasticity, shape memory effect, and transition temperatures. A deeper comprehension of SMA composition and its impact on mechanical properties can be attained by differential scanning calorimetry. The current study uses experimental work to assess the energy absorption capacity, mean fracture width, residual strength, and cracking strength of samples made of short shape memory alloy (SMA) fibers that are randomly distributed on the specimens tensile side. In this investigation, three samples were synthesized based on the Cu, Al, and Mn proportions found in CuAlMn shape memory alloys (SMA1, SMA2, and SMA3). Moreover, three samples with different ratios of Cu, Al, Mn, Be, and Fe were synthesized for the shape memory alloys CuAlBeMn and CuAlFeMn (SMA2, and SMA3). The synthesized CuAlMn, CuAlBeMn, and CuAlFeMn SMA alloys showed good strain recovery, ranging from 90 to 95%. The martensite that forms and changes when the alloys are heated and quenched mostly controls the strain recovery by the corresponding SMAs. SMA 2 of the CuAlBeMn has a greater strain recovery rate, rising by 8.5% and 44.38%, respectively, in comparison to SMA 1 and SMA 3. CuAlBiMn shape memory alloys demonstrated superior super elasticity and martensite stability in comparison to SMA 1 and SMA 2 respectively. SMA 1 and SMA 2 demonstrated greater residual strength, cracking strength, and energy absorption capacity for all fiber volume fractions. The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024. Creator An entity primarily responsible for making the resource Naresh H.; Prashantha S.; Ramesha K.; Santhosh N.; Manjunatha M.C. Source A related resource from which the described resource is derived Springer Proceedings in Materials, Vol-60, pp. 407-422. 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 2024-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1007/978-981-97-7071-7_30" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-981-97-7071-7_30</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85210416278&doi=10.1007%2F978-981-97-7071-7_30&partnerID=40&md5=ecffb37d881c2c8d82c89c867b6a0b34" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85210416278&doi=10.1007%2f978-981-97-7071-7_30&partnerID=40&md5=ecffb37d881c2c8d82c89c867b6a0b34</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 26623161 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 Naresh H., Department of Mechanical Engineering, Siddaganga Institute of Technology, Tumakuru, 572103, India; Prashantha S., Department of Mechanical Engineering, Siddaganga Institute of Technology, Tumakuru, 572103, India; Ramesha K., Department of Mechanical and Automobile Engineering, Christ University, Kengeri, Bangalore, 560067, India; Santhosh N., Department of Mechanical Engineering, MVJ College of Engineering, Bangalore, 560067, India; Manjunatha M.C., Department of Mechanical Engineering, Bangalore Institute of Technology, Bangalore, 560067, 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 Ethics of digital journalism Subject The topic of the resource Digital media; Ethics; Journalists; Professionalism; Technology Description An account of the resource Marshall McLuhan proposed that technological changes impact society. Digital media has enabled journalists to reach their audiences instantly with the news. Journalists need more time to decide what to report and how to present it. Ethics is the belief about what is morally correct or acceptable. Traditionally, newspaper reporters devised moral codes to help them in their professional decision-making. There emerged an almost universal set of principles that guided journalists in their profession. Television journalists were compelled to draw up a code of ethics to ward off criticism about sensationalism. Digital media has blurred the distinction between professional and citizen journalists. Twitter allows the man in the street to break the news as it happens. Privacy and copyright are just two of the significant issues that digital journalists must deal with. Digital media throws up these challenges, and this chapter aims to answer them. Is it acceptable to extend the ethical standards of old media to the digital space, or do we need a new set of ethics to guide digital journalists? New principles and ethical standards are being framed to tackle the unique challenges of digital news media. The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024. All rights reserved. Creator An entity primarily responsible for making the resource Naresh Rao H. Source A related resource from which the described resource is derived Handbook of Digital Journalism: Perspectives from South Asia, pp. 545-553. 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 2024-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1007/978-981-99-6675-2_46" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-981-99-6675-2_46</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85206626685&doi=10.1007%2F978-981-99-6675-2_46&partnerID=40&md5=d3c6b4439e48d7c52c9379a4c3effbfc" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85206626685&doi=10.1007%2f978-981-99-6675-2_46&partnerID=40&md5=d3c6b4439e48d7c52c9379a4c3effbfc</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 978-981996675-2; 978-981996674-5 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Book chapter Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Naresh Rao H., Department of Media Studies, Christ (Deemed to be University), Bangalore, India Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Articles Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource A Reflection on the Current Status of Animal-Assisted Therapy in India Subject The topic of the resource Animal-assisted interventions; Human-animal bond; Mental health; Pet therapy; Review; Therapy dogs Description An account of the resource The field of animal-assisted therapy is advancing quickly throughout the world gaining popularity as a complementary therapy. Several countries, especially in the East, are still in their nascent phase in utilizing animal-assisted therapy and a more realistic presentation of their status should drive them towards effective initiatives to promote the field. The primary objective of this paper is to throw light on the current scenario of animal-assisted therapy in India. The relevant databases such as Scopus, Google Scholar, Proquest, PubMed, and JSTOR were searched to identify the research literature. The organizational websites, news, and blog articles, as well as institutional repositories, were explored to maximize the evidence. A total of 24 articles were found which included published research articles as well as unpublished conference papers. Results found a dearth of practice and research throughout the country indicating an urgent need to direct steps in promoting the growth of the field. The contemporary issues in the implementation of animal-assisted therapy such as cultural and religious beliefs, lack of awareness, lack of practising organizations and therapists warrant immediate attention. Reducing the research and practice gap alongside focusing on creating awareness, changing public perception, introducing coursework in educational institutions, the publication of evidence-based research will help in the acceptance and growth of this novel therapeutic field. 2021, The Author(s), under exclusive licence to Springer Nature Switzerland AG. Creator An entity primarily responsible for making the resource Narvekar H.N. Source A related resource from which the described resource is derived Human Arenas, Vol-6, No. 4, pp. 760-775. Publisher An entity responsible for making the resource available Springer Science and Business Media B.V. Date A point or period of time associated with an event in the lifecycle of the resource 2023-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1007/s42087-021-00250-x" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/s42087-021-00250-x</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85115068039&doi=10.1007%2Fs42087-021-00250-x&partnerID=40&md5=b8db96e2a48a3df009f3f8ff06fad63b" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85115068039&doi=10.1007%2fs42087-021-00250-x&partnerID=40&md5=b8db96e2a48a3df009f3f8ff06fad63b</a> Rights Information about rights held in and over the resource All Open Access; Bronze Open Access Relation A related resource ISSN: 25225804 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Article Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Narvekar H.N., Department of Psychology, 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 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 Animal-Assisted Therapy for the Promotion of Social Competence: a Conceptual Framework Subject The topic of the resource Animal-assisted interventions; Human-animal bond; Neurodevelopmental disorders; Social adaptation; Social maturity Description An account of the resource Developmental disorders have a substantial effect on the social competence of children affecting their overall psychosocial functioning. Social competence entails the process of being socially mature by establishing stable and adaptive patterns of social behavior. Animal-assisted therapy, as an alternative treatment modality, has offered some new prospects for improving social cognition. This conceptual paper, thus, attempts to throw light on how animal-assisted therapy can help improve social competence. The paper draws its knowledge from the existing theories and empirical work done to propose a conceptual framework that can enhance social competence by incorporating therapy animals. It can be concluded that animal-assisted therapy has found to improve different dimensions crucial for development of social competence. This further suggests the dire need to explore the effectiveness of human-animal interactions by utilizing it for improving social competence. 2022, The Author(s), under exclusive licence to Springer Nature Switzerland AG. Creator An entity primarily responsible for making the resource Narvekar H.N.; Ghani S. Source A related resource from which the described resource is derived Human Arenas Publisher An entity responsible for making the resource available Springer Science and Business Media B.V. Date A point or period of time associated with an event in the lifecycle of the resource 2022-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1007/s42087-022-00313-7" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/s42087-022-00313-7</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85139122163&doi=10.1007%2Fs42087-022-00313-7&partnerID=40&md5=fa464963ce0383c5ecb279da27018f6a" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85139122163&doi=10.1007%2fs42087-022-00313-7&partnerID=40&md5=fa464963ce0383c5ecb279da27018f6a</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 25225804 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Article Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Narvekar H.N., Department of Psychology, CHRIST (Deemed to be University), Karnataka, Bangalore, 560029, India; Ghani S., Department of Psychology, CHRIST (Deemed to be 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 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 Animal-assisted therapy for children and adolescents with neurodevelopmental disorders: A review Description An account of the resource The increase in neurodevelopmental disorders presents the need for complementary and alternative treatment modalities to support well-being in the maximum possible way. This narrative review was conducted with the aim to explore how animal-assisted therapy as a complementary treatment approach is beneficial for children and adolescents with neurodevelopmental disorders. A search in various databases was conducted to identify articles published in the field of animal-assisted interventions. The review comprised of a total of 32 studies. The discussion of the results was presented in terms of different therapy animals incorporated into the therapeutic environment. The review indicated that animal-assisted therapy has the potential to improve symptoms and various psycho-social variables in individuals suffering from different developmental disabilities. 2024, IGI Global. All rights reserved. Creator An entity primarily responsible for making the resource Narvekar H.N.; Krishnan U. Source A related resource from which the described resource is derived Handbook of Research on Child and Adolescent Psychology Practices and Interventions, pp. 324-340. 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 2023-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.4018/978-1-6684-9983-2.ch017" target="_blank" rel="noreferrer noopener">https://doi.org/10.4018/978-1-6684-9983-2.ch017</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85180379037&doi=10.4018%2F978-1-6684-9983-2.ch017&partnerID=40&md5=b38656a6617f450a3e483d07fc538d3d" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85180379037&doi=10.4018%2f978-1-6684-9983-2.ch017&partnerID=40&md5=b38656a6617f450a3e483d07fc538d3d</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 978-166849984-9; 978-166849983-2 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Book chapter Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Narvekar H.N., Christ University, India; Krishnan U., 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 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 Canine-assisted Therapy in Neurodevelopmental Disorders: A Scoping Review Subject The topic of the resource Animal-assisted intervention; Developmental disorders; Disabilities; Dog-assisted therapy; Human-animal bond; Rehabilitation; Scoping review Description An account of the resource Introduction: Animal-Assisted Therapy has been advocated to benefit individuals with neurodevelopmental disorders. Among all the various kinds of animals used in the therapy, dogs are the most utilized because of their temperament and accessibility. Methods: This systematic scoping review was carried out to present the existing literature employing canine-assisted therapy in the diverse population of neurodevelopmental disorders. The study used the Arksey and O'Malley framework for scoping reviews. Several databases including the gray literature were searched for publications on animal-assisted therapy. Results: The search yielded 4898 articles of which 41 articles were eliigible for inclusion into the review. Conclusions: Scrutiny of the articles suggested a dearth of studies in the various sub-diagnostic categoriesfor neurodevelopmental disorders along with a lack of focus on adult populations with this diagnosis. In addition, the critical need for standardization of therapy guidelines and promotion of animal welfare is reaffirmed. 2022 Elsevier GmbH Creator An entity primarily responsible for making the resource Narvekar H.N.; Narvekar H.N. Source A related resource from which the described resource is derived European Journal of Integrative Medicine, Vol-50 Publisher An entity responsible for making the resource available Elsevier 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/10.1016/j.eujim.2022.102112" target="_blank" rel="noreferrer noopener">https://doi.org/10.1016/j.eujim.2022.102112</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85125546695&doi=10.1016%2Fj.eujim.2022.102112&partnerID=40&md5=14edac3581c67196ad358ab25a2b98fa" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85125546695&doi=10.1016%2fj.eujim.2022.102112&partnerID=40&md5=14edac3581c67196ad358ab25a2b98fa</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 18763820 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 Narvekar H.N., Department of Psychology, CHRIST (Deemed to be University), Bangalore, 560029, India; Narvekar H.N., Department of Optometry, Manipal College of Health Professions, MAHE, Manipal, 576104, 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 61000392 Title A name given to the resource Efficacy of Canine - Assisted Therapy on Social Competence among INdividuals with Autism Spectrum Disorder Subject The topic of the resource Psychology Description An account of the resource Adults with Autism Spectrum Disorder (ASD), because of their deficits in social newlinecompetence, often suffer a great deal in the community. Canine-assisted therapy (CAT) seems to be a useful approach to improve social functioning. This study aimed to investigate whether CAT can assist in improving the social competence of adults newlinewith ASD. The study employed an ABAB single case experimental design with four newlineparticipants. The social performance and social interactions with the therapy dog and newlinetherapist were the target measures of the study, and they were assessed using the newlineVellore Assessment of Social Performance and Animal-assisted Therapy Flowsheet. The baseline measures for the study were taken four times for 4 weeks for two newlinebaseline/reversal phases of the study. CAT was delivered by a trained dog along with newlinea certified animal-assisted practitioner twice a week for 4 weeks for 45-60 minutes newlineduring two intervention phases. The results were interpreted using descriptive, newlinegraphical, and numerical analysis. The mean scores indicated improvement in social newlineperformance and social interaction scores in the intervention phases. The visual newlineinspection showed similar results as indicated by the increasing trend line in newlineintervention phases. The results of the non-overlap of all pairs showed a medium to newlinestrong effect of CAT on improving social performance. The results validated the use newlineof CAT in the enhancement of social competence among adults with ASD. The study newlinesignificantly contributed to the field of CAT as well as has implications for aiding the newlineintegration of adults with ASD into mainstream society by enhancing their social newlinefunctioning. Creator An entity primarily responsible for making the resource Narvekar, Hemangi Narayan 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 Krishnan, Uma. 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/10603/598701" target="_blank" rel="noreferrer noopener">http://hdl.handle.net/10603/598701</a> Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Articles Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Cries of war: Securitization of fluid transnational identities during war (a comparative study of securitization of Chinese Indians and Japanese Americans) Subject The topic of the resource Chinese Indians; comparative study; Copenhagen school; fluid transnational identities; incarceration; internment; Japanese Americans; Second World War; securitization theory; Sino-Indian war Description An account of the resource Fluid transnational identities are an omnipresent reality in the contemporary world, but what happens when war becomes a reality or the threat of war is imminent in a State which contains fluid transnational identities? This article tries to explore these dynamics to determine if the threat from transnational identities is an actual threat during war or an act of an elite few, and what follows after the war, by comparing the experiences of Chinese Indians and Japanese Americans. The study heavily leans on securitization theory to explore the questions posed and elaborate on the situations when habeas corpus was denied thereby incarceration and internment as a practice were justified. The relationship between the transnational population and the State under the Copenhagen School is also further elaborated on. The Author(s) 2021. Creator An entity primarily responsible for making the resource Narzary U. Source A related resource from which the described resource is derived Asian Journal of Comparative Politics, Vol-7, No. 1, pp. 132-145. Publisher An entity responsible for making the resource available SAGE Publications Ltd Date A point or period of time associated with an event in the lifecycle of the resource 2022-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1177/20578911211030003" target="_blank" rel="noreferrer noopener">https://doi.org/10.1177/20578911211030003</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85110944301&doi=10.1177%2F20578911211030003&partnerID=40&md5=0818db3aa74486517e94e843e599332e" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85110944301&doi=10.1177%2f20578911211030003&partnerID=40&md5=0818db3aa74486517e94e843e599332e</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 20578911 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 Narzary U., 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 Brain Tumor Detection using Hyper Parameter Tuning and Transfer Learning Subject The topic of the resource Brain Tumor; Deep Learning; EffcientNetB7; EfficientNetV2; MobileNetv3 Description An account of the resource Brain Tumor is the development of abnormal cells in our brain. There are cancerous and noncancerous brain tumors. Because they can press against healthy brain tissue or spread there, brain tumors are harmful. The early diagnosis of brain tumors is a highly challenging assignment for radiologists. The typical size of a brain tumor doubles in just twenty-five days due to its rapid growth. If not properly cared for, the patient's survival rate typically does not exceed six months. It may quickly result in death. For the purpose of early brain tumor identification, an automatic method is necessary. In this study, an automated strategy is suggested for quickly distinguishing between malignant and non-cancerous brain images. Most of the time, it can be treated if caught during the early stages. Hence the need for more and improved brain tumor detection. The most crucial part here is image processing. The medical images obtained during the test have to be appropriately analysed. Various methods such as MobileNet, EfficientNetB7, and EfficientNetV2 have been used and their efficiency has been analysed. Here we classify the dataset containing 300 images into two. The suggested system will offer improved clinical support for the field of medicine. 2023 IEEE. Creator An entity primarily responsible for making the resource Nasar N.; Thiruthuvanathan M.M.; Pauls A. Source A related resource from which the described resource is derived Proceedings of IEEE InC4 2023 - 2023 IEEE International Conference on Contemporary Computing and Communications 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/InC457730.2023.10263136" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/InC457730.2023.10263136</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85174682639&doi=10.1109%2FInC457730.2023.10263136&partnerID=40&md5=5e8f5d005c0187582e071558fdd04608" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85174682639&doi=10.1109%2fInC457730.2023.10263136&partnerID=40&md5=5e8f5d005c0187582e071558fdd04608</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 979-835033577-4 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 Nasar N., CHRIST(Deemed to Be University), Computer Science and Engineering, Bengaluru, India; Thiruthuvanathan M.M., CHRIST(Deemed to Be University), Computer Science and Engineering, Bengaluru, India; Pauls A., CHRIST(Deemed to Be University), Computer Science and Engineering, 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 Transformative Insights: Unveiling the Potential of Artificial Intelligence in the Treatment of Sleep Disorders - A Comprehensive Review Subject The topic of the resource applications; Artificial intelligence; data analysis; deep learning; machine learning; predictive models; sleep disorder management; sleep disorders; sleep disorders diagnosis; sleep medicine; sleep monitoring; sleep quality; sleep therapy; sleep tracking; treatment Description An account of the resource Disruptions to sleep have a substantial influence on people's overall health and quality of life. The conventional techniques for diagnosing and managing sleep disorders usually rely on subjective assessments and qualitative evaluations, that may have some accuracy and efficacy limitations. Nevertheless, recent developments in the field of artificial intelligence (AI) have presented new opportunities for better diagnosing and treating problems with insomnia. The paper reviews in depth the uses of AI in the domain of medical sleep medicine. We look at the use of algorithmic techniques for deep learning and machine learning for identifying indicators of sleep-related issues, the assessment of sleep quality, sleep tracking, and the establishment of individualized sleep therapeutics. We also discuss how AI is being used to construct forecasting models that may be used to identify individuals who are at risk of experiencing sleep issues and improve treatment strategies. In addition, we talk about the challenges and potential outcomes of incorporating AI-based techniques into clinical practice. Overall, our research highlights how AI has the potential to transform the field of sleeping medicine and improve outcomes for people with sleep-related conditions. 2023 IEEE. Creator An entity primarily responsible for making the resource Nasir M.S.; Alam M.S.; Shahi F.I.; Kamal M.S.; Upreti K.; Vats P. Source A related resource from which the described resource is derived 2023 International Conference on Emerging Trends in Networks and Computer Communications, ETNCC 2023 - Proceedings, pp. 223-228. 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/ETNCC59188.2023.10284945" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ETNCC59188.2023.10284945</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85176752173&doi=10.1109%2FETNCC59188.2023.10284945&partnerID=40&md5=3f141a35ba484e7d05ea6f3c1220c0de" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85176752173&doi=10.1109%2fETNCC59188.2023.10284945&partnerID=40&md5=3f141a35ba484e7d05ea6f3c1220c0de</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 979-835031487-8 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 Nasir M.S., College of Cs and It, Jazan University, Dept. of Computer Science, Jazan, Saudi Arabia; Alam M.S., College of Cs and It, Jazan University, Dept. of Computer Science, Jazan, Saudi Arabia; Shahi F.I., Deanship of E-Learning and It, Jazan University, Jazan, Saudi Arabia; Kamal M.S., College of Cs and It, Jazan University, Dept. of Computer Science, Jazan, Saudi Arabia; Upreti K., Christ (Deemed to Be University), Dept. of Computer Science, Delhi NCR, Ghaziabad, India; Vats P., SCSE, Manipal University Jaipur, Faculty of Engg., Dept. of Cse, Rajasthan, Jaipur, 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 Detection of toxic comments over the internet using deep learning methods Subject The topic of the resource BER; BERT; BidirectionalLSTM; Finetuning; Hate speech; Language model; Neural networks; Pretraining; Sentiment analysis; Social media; Toxic; Toxic comment; Twitter Description An account of the resource People now share their ideas on a wide range of topics on social media, which has become an integral part of contemporary culture. The majority of people are increasingly turning to social media as a necessity, and there are numerous incidents of social media addiction that have been reported. Socialmedia channels. Socialmedia platforms have established their worth over time by bringing individuals from different backgrounds together, but they have also shown harmful side effects that could have serious consequences. One such unfavourable result is how extremely poisonous many discussions on social media are. Online abuse, hate speech, and occasionally outrage culture are now all considered to be toxic. In this study, we leverage the Transformers Bidirectional Encoder Representations to build an efficient model to detect and classify toxicity in user-generated content on social media. The Kaggle dataset with labelled toxic comments, was used to refine the BERT pre-trained model. Other Deep learning models, including Bidirectional LSTM, Bidirectional-LSTM with attention, and a few other models, were also tested to see which performed best in this classification task. We further evaluate the proposed models utilising dataset obtained from Twitter in order to find harmful content (tweets) using relevant hashtags. The findings showed how well the suggested methodology classified and analysed toxic comments. 2024 selection and editorial matter, Arvind Dagur, Karan Singh, Pawan Singh Mehra & Dhirendra Kumar Shukla; individual chapters, the contributors. Creator An entity primarily responsible for making the resource Naskar A.; Harchandani R.; Thomas K.T. Source A related resource from which the described resource is derived Artificial Intelligence, Blockchain, Computing and Security: Volume 1, Vol-1, pp. 447-454. Publisher An entity responsible for making the resource available CRC Press Date A point or period of time associated with an event in the lifecycle of the resource 2023-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1201/9781003393580-68" target="_blank" rel="noreferrer noopener">https://doi.org/10.1201/9781003393580-68</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85180023049&doi=10.1201%2F9781003393580-68&partnerID=40&md5=e6e8bf2b156b8eec2d4e59b40ecdf4c3" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85180023049&doi=10.1201%2f9781003393580-68&partnerID=40&md5=e6e8bf2b156b8eec2d4e59b40ecdf4c3</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 978-100384581-2; 978-103249393-0 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource 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 Naskar A., Department of Data Science, Department of Data Science CHRIST (Deemed to be University) Pune, CHRIST (Deemed to be University), Maharashtra, Lavasa, Pune, Lavasa, India; Harchandani R., Department of Data Science, Department of Data Science CHRIST (Deemed to be University) Pune, CHRIST (Deemed to be University), Maharashtra, Lavasa, Pune, Lavasa, India; Thomas K.T., Department of Data Science, Department of Data Science CHRIST (Deemed to be University) Pune, CHRIST (Deemed to be University), Maharashtra, Lavasa, Pune, Lavasa, 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 Detection of toxic comments over the internet using deep learning methods Subject The topic of the resource BERT; BERT; BidirectionalLSTM; finetuning; hate speech; language model; neural networks; pretraining; sentiment analysis; social media; toxic; toxic comment; twitter Description An account of the resource People now share their ideas on a wide range of topics on social media, which has become an integral part of contemporary culture. The majority of people are increasingly turning to social media as a necessity, and there are numerous incidents of social media addiction that have been reported. Socialmedia channels. Socialmedia platforms have established their worth over time by bringing individuals from different backgrounds together, but they have also shown harmful side effects that could have serious consequences. One such unfavourable result is how extremely poisonous many discussions on social media are. Online abuse, hate speech, and occasionally outrage culture are now all considered to be toxic. In this study, we leverage the Transformers Bidirectional Encoder Representations to build an efficient model to detect and classify toxicity in user-generated content on social media. The Kaggle dataset with labelled toxic comments, was used to refine the BERT pre-trained model. Other Deep learning models, including Bidirectional LSTM, Bidirectional-LSTM with attention, and a few other models, were also tested to see which performed best in this classification task. We further evaluate the proposed models utilising dataset obtained from Twitter in order to find harmful content (tweets) using relevant hashtags. The findings showed how well the suggested methodology classified and analysed toxic comments. 2024 The Author(s). Creator An entity primarily responsible for making the resource Naskar A.; Harchandani R.; Thomas K.T. Source A related resource from which the described resource is derived Artificial Intelligence, Blockchain, Computing and Security - Proceedings of the International Conference on Artificial Intelligence, Blockchain, Computing and Security, ICABCS 2023, Vol-1, pp. 447-454. Publisher An entity responsible for making the resource available CRC Press/Balkema 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/10.1201/9781003393580-68" target="_blank" rel="noreferrer noopener">https://doi.org/10.1201/9781003393580-68</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85186737356&doi=10.1201%2F9781003393580-68&partnerID=40&md5=4db74d0de19fa6fdc5e8a687f66a6f41" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85186737356&doi=10.1201%2f9781003393580-68&partnerID=40&md5=4db74d0de19fa6fdc5e8a687f66a6f41</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 978-103266966-3 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Conference paper Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Naskar A., Department of Data Science, Department of Data Science CHRIST (Deemed to be University) Pune, Lavasa, CHRIST (Deemed to be University) Pune, Maharashtra, Lavasa, India; Harchandani R., Department of Data Science, Department of Data Science CHRIST (Deemed to be University) Pune, Lavasa, CHRIST (Deemed to be University) Pune, Maharashtra, Lavasa, India; Thomas K.T., Department of Data Science, Department of Data Science CHRIST (Deemed to be University) Pune, Lavasa, CHRIST (Deemed to be University) Pune, Maharashtra, Lavasa, 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 Implementation of Movie Recommendation System Using Hybrid Filtering Methods and Sentiment Analysis of Movie Reviews Subject The topic of the resource content based filtering; cosine similarity; count vectorizer; demographic filtering; movie metadata; movie reviews; natural language processing; recommendation system; sentiment analysis Description An account of the resource In present era of digitization of entertainment, immense volume of movies are produced, which results in the necessity of sophisticated recommendation systems. In the streaming platform these systems empower users to discover new and relevant movies, benefiting both viewers and the entertainment industry. This research paper offers a comprehensive method for incorporating movie review sentiment analysis into a hybrid recommendation system. The study focuses on 4890 movies using a broad dataset containing the detailed descriptions of the movies along with the reviews. To employ the demographic filtering, the popularity score of the movies were calculated, then to apply the collaborative filtering, the textual movie descriptions were vectorized using the countvectorizer method. To predict the sentiment of the movie reviews, the high accuracy model "ControX/Sen1"was used. This hybrid recommendation system ranked the movies based on the user's preferences by employing cosine similarity, the sorted list was further filtered with the positive sentiment reviews. By including sentiment analysis, this research advances sophisticated movie recommendation systems by providing a comprehensive method for addressing user preferences and emotional resonance in film selections. 2024 IEEE. Creator An entity primarily responsible for making the resource Naskar I.; Joseph N.P. Source A related resource from which the described resource is derived Proceedings of ICWITE 2024: IEEE International Conference for Women in Innovation, Technology and Entrepreneurship, pp. 513-518. 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/ICWITE59797.2024.10502695" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ICWITE59797.2024.10502695</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85192528346&doi=10.1109%2FICWITE59797.2024.10502695&partnerID=40&md5=953c39083ea5053b894114f1c69152e1" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85192528346&doi=10.1109%2fICWITE59797.2024.10502695&partnerID=40&md5=953c39083ea5053b894114f1c69152e1</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 979-835038328-7 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Conference paper Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Naskar I., Christ (Deemed to Be University), Department of Statistics and Data Science, Karnataka, Bengaluru, India; Joseph N.P., Christ (Deemed to Be University), Department of Statistics and Data Science, Karnataka, Bengaluru, India Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Articles Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Literary Cartography of Performance Ecologies in Sheela Tomys Valli Subject The topic of the resource Ecological Crisis; Ecoprecarity; Indigenous Community; Performances; Spatial Politics Description An account of the resource The shift towards posthumanism is characterized by blurring boundaries between humans and other species alongside emerging narratives centred on climate catastrophes and ecological crises. Sheela Tomys Valli (2022) is one of the most recent works of Indian fiction that actively promotes ecological consciousness. Set against the picturesque landscape of Wayanad, Valli intricately captures the essence of the indigenous community, weaving their stories into its narrative. The paper suggests that reading Valli through a cartographic lens transforms the narrative into an intelligent discourse on spatial politics. The performances in Valli are understood through the lens of performance ecology (Jeff Grygny), reflecting ongoing contemporary ecological debates. Their interrelation is explored by mapping spatial memory and schema of the characters, based on Robert T. Tallys theory of literary cartography (2013). Additionally, the paper will provide an overview of the ecopolitics of Wayanad, with a specific focus on the socio-political conditions of the Paniyar and Kuruchiyar scheduled tribes from which the characters are drawn. The study will underscore the triad of space, performance, and ecology in Valli, invoking a sense of ecoprecarity essential for rethinking and potentially expanding our notion of sustainability. 2024, University of Malaya. All rights reserved. Creator An entity primarily responsible for making the resource Nataraj S.; Narayana S. Source A related resource from which the described resource is derived SARE, Vol-61, No. 2, pp. 46-77. Publisher An entity responsible for making the resource available University of Malaya 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/10.22452/sare.vol61no2.4" target="_blank" rel="noreferrer noopener">https://doi.org/10.22452/sare.vol61no2.4</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85215416540&doi=10.22452%2Fsare.vol61no2.4&partnerID=40&md5=7c9630ef5258ac98c8a8ad9a7c9018a7" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85215416540&doi=10.22452%2fsare.vol61no2.4&partnerID=40&md5=7c9630ef5258ac98c8a8ad9a7c9018a7</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 0127046X 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 Nataraj S., Christ University, Bengaluru, India; Narayana S., Christ University, Bengaluru, India Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource 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 comprehensive LR model for predicting banks stock performance in Indian stock market Subject The topic of the resource Key financial ratios; Logistic regression; Market rate of return; NIFTY; SENSEX; Stock performance Description An account of the resource The study focusses on developing a Logistic Regression model to distinguish between Good and Poor Performance of Bank-stocks which are traded in Indian stock market with regard to the financial ratios. The study- sample comprises of financialratios of 40 nationalised and private banks, for a period of six years. The study ascertains and scrutinizes eleven financial ratios that can categorize the Banksbroadly into two categories as good or poor, up to the accuracy level of 78 percent, based on their rate of return. First, the study predicts the performance of banks by using financial ratios and tries to build the goodness of fit by using Logistic Regression approach. The study also emphasizes that this model can enrich an investors ability to forecast the price of various stocks. However, the paper confers the real-world implications of Logistic Regression model to envisage the performance of Banks in the stock market. The study reveals that the model could be useful to potential investors, fund managers, and investment companies to improve their strategies and to select the out-performing Bank-stocks. Serials Publications Pvt. Ltd. Creator An entity primarily responsible for making the resource Nataraja N.S.; Chilale N.R.; Ganesh L. Source A related resource from which the described resource is derived International Journal of Applied Business and Economic Research, Vol-15, No. 21, pp. 155-164. Publisher An entity responsible for making the resource available Serials Publications Date A point or period of time associated with an event in the lifecycle of the resource 2017-01-01 Identifier An unambiguous reference to the resource within a given context <a href="" target="_blank" rel="noreferrer noopener"></a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85039168946&partnerID=40&md5=bc40f1aaaeab3a83e0bd3ea703ebc726" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85039168946&partnerID=40&md5=bc40f1aaaeab3a83e0bd3ea703ebc726</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 9727302 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 Nataraja N.S., Alliance University, Bangalore, India; Chilale N.R., Vijaya College, Bangalore University, Bangalore, India; Ganesh L., 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 Book Faculty Publications- Book Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Intersection of AI and business intelligence in data-driven decision-making Description An account of the resource In today's rapidly evolving business landscape, organizations are inundated with vast amounts of data, making it increasingly challenging to extract meaningful insights and make informed decisions. The traditional business intelligence (BI) approach must often address the complexity and speed required for effective decision-making in this data-rich environment. As a result, many businesses need help to leverage their data to drive sustainable growth and remain competitive. Intersection of AI and Business Intelligence in Data-Driven Decision-Making presents a transformative solution to this pressing challenge. By exploring the convergence of artificial intelligence (AI) and BI, our book provides a comprehensive framework for leveraging AI-powered BI to revolutionize data analysis, predictive modeling, and decision-making processes. Readers will gain valuable insights into practical applications, emerging trends, and ethical considerations, inspiring and exciting them about the potential of AI in driving business success. Through in-depth discussions, case studies, and best practices, this book equips professionals, researchers, and students with the knowledge and tools needed to navigate the complexities of AI-powered business intelligence. Whether you're looking to predict trends, analyze consumer behavior, or optimize supply chains, this book offers actionable strategies and techniques for implementing AI-powered BI solutions in your organization. 2024 by IGI Global. All rights reserved. Creator An entity primarily responsible for making the resource Natarajan A.K.; Galety M.G.; Iwendi C.; Das D.; Shankar A. Source A related resource from which the described resource is derived Intersection of AI and Business Intelligence in Data-Driven Decision-Making, pp. 1-486. 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/10.4018/979-8-3693-5288-5" target="_blank" rel="noreferrer noopener">https://doi.org/10.4018/979-8-3693-5288-5</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85215356172&doi=10.4018%2F979-8-3693-5288-5&partnerID=40&md5=878d751b15cd07279579681d7520cc41" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85215356172&doi=10.4018%2f979-8-3693-5288-5&partnerID=40&md5=878d751b15cd07279579681d7520cc41</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 979-836935289-2; 979-836935288-5 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Book Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Natarajan A.K., Samarkand International University of Technology, Uzbekistan; Galety M.G., Samarkand International University of Technology, Uzbekistan; Iwendi C., University of Bolton, United Kingdom; Das D., Christ University, India; Shankar A., University of Warwick, United Kingdom