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                <text>Neuro-Systemic Applications in Learning, pp. vii-ix.</text>
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                <text>Thomas K.A., Centre for Education Beyond Curriculum, Christ University, Bengaluru, Karnataka, India; Kureethara J.V., Department of Mathematics, Christ University, Bengaluru, Karnataka, India; Bhattacharyya S., Rajnagar Mahavidyalaya, Birbhum, West Bengal, India</text>
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                <text>3D printing; Additive manufacturing; Additive printing materials; Assistive respiration; Berating machine; Coronavirus; COVID-19; Extrusion based 3D printing; Lamination based 3D printing; Life-supporting devices; Lung disease; Materials jetting; Pandemic; Photo polymerization 3D printing; Powderbased 3D printing; Pulmonary infections; Shortage of ventilators; Ventilator components; Ventilator valves; Ventilators</text>
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                <text>The disease caused by a virus known as the novel Coronavirus, also known as "COVID-19" by the public, was classified as a major epidemic by the World Health Organisation in 2019. Each country across the globe is affected by COVID-19. While writing this, over 150 million people were affected by the fast-spreading deadly pandemic, and over 3.5 million deaths due to COVID-19 were reported worldwide as per WHO's official COVID-19 dash panel-https://covid19.who.int/Economy and social life of no territory on earth was left unaffected by the COVID-19. Now vaccines are ready, it may take a reasonable amount of time to complete the vaccination process. One major challenge was the need for more support equipment like Beds, Oxygen Cylinders, and Ventilators. Improvisation in the mass production of many critical components, especially those supporting 3D printing technology, has shown some well-managed results in handling the shortage of many critical components. This chapter examines and describes how 3D printing technologies were used during the dangerous pandemic. It aims to describe many 3D-printed devices like face masks, face shields, various valves, etc. It also makes an effort to point out the dominant drawbacks of additive manufacturing technology in this area and examines the options for a future pandemic.  2023 Bentham Science Publishers. All rights reserved.</text>
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                <text>Thomas K.T.; Jacob L.; Shukla S.</text>
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                <text>The Role of AI, IoT, and Blockchain in Mitigating the Impact of COVID-19, pp. 26-47.</text>
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&lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85205745843&amp;amp;partnerID=40&amp;amp;md5=08ec9c177df73a9509084b25626c5288" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-85205745843&amp;amp;partnerID=40&amp;amp;md5=08ec9c177df73a9509084b25626c5288&lt;/a&gt;</text>
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                <text>Thomas K.T., Department of Data Science, CHRIST (Deemed to be University), Pune Lavasa Campus - The Hub of Analytics, Maharashtra, 412112, India; Jacob L., Department of Data Science, CHRIST (Deemed to be University), Pune Lavasa Campus - The Hub of Analytics, Maharashtra, 412112, India; Shukla S., Department of Data Science, CHRIST (Deemed to be University), Pune Lavasa Campus - The Hub of Analytics, Maharashtra, 412112, India</text>
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                <text>Deep Learning-based Gender Recognition Using Fusion of Texture Features from Gait Silhouettes</text>
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                <text>Behavioral biometrics; Biometrics; Convolutional neural network (CNN); Gait energy image (GEI); Gait silhouettes; Gender recognition; Histogram of oriented gradient (HOG)</text>
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                <text>The gait of a person is the manner in which he or she walks. The human gait can be considered as a useful behavioral type of biometric that could be utilized for identifying people. Gait can also be used to identify a persons gender and age group. Recent breakthroughs in image processing and artificial intelligence have made it feasible to extract data from photographs and videos for various classifying purposes. Gender can be regarded as soft biometric that could be useful in video captured using surveillance cameras, particularly in uncontrolled environments with erratic placements. Gender recognition in security, particularly in surveillance systems, is becoming increasingly popular. Popularly used deep learning algorithms for images, convolutional neural networks, have proven to be a good mechanism for gender recognition. Still, there are drawbacks to convolutional neural network approaches, like a very complex network model, comparatively larger training time and highly expensive in computational resources, meager convergence quickness, overfitting of the network, and accuracy that may need improvement. As a result, this paper proposes a texture-based deep learning-based gender recognition system. The gait energy image, that is created by adding silhouettes received from a portion of the video which portrays an entire gait cycle, can be the most often utilized feature in gait-based categorization. More texture features, such as histogram of oriented gradient (HOG) and entropy for gender identification, have been examined in the proposed work. The accuracy of gender classification using whole body image, upper body image, and lower body image is compared in this research. Combining texture features is more accurate than looking at each texture feature separately, according to studies. Furthermore, full body gait images are more precise than partial body gait images.  2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.</text>
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                <text>Thomas K.T.; Pushpalatha K.P.</text>
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                <text>Lecture Notes in Networks and Systems, Vol-462, pp. 153-165.</text>
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                <text>Springer Science and Business Media Deutschland GmbH</text>
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                <text>&lt;a href="https://doi.org/10.1007/978-981-19-2211-4_13" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1007/978-981-19-2211-4_13&lt;/a&gt;
&lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85135036534&amp;amp;doi=10.1007%2F978-981-19-2211-4_13&amp;amp;partnerID=40&amp;amp;md5=d33575cfde25f003a4966359d78819db" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-85135036534&amp;amp;doi=10.1007%2f978-981-19-2211-4_13&amp;amp;partnerID=40&amp;amp;md5=d33575cfde25f003a4966359d78819db&lt;/a&gt;</text>
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                <text>ISSN: 23673370; ISBN: 978-981192210-7</text>
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                <text>Thomas K.T., School of Computer Sciences, Mahatma Gandhi University, Kottayam, India, Christ University, Pune, India; Pushpalatha K.P., School of Computer Sciences, Mahatma Gandhi University, Kottayam, India</text>
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                <text>A Pilot Study of the DREAMS Program: A Community Collaborative Intervention for the Psychosocial Development of Middle School Students</text>
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                <text>after school program; DREAMS intervention; psychosocial development; school-community partnership</text>
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                <text>The purpose of this study was to pilot the DREAMS (Desire, Readiness, Empowerment, Action, and Mastery for Success) program, a community-collaborative, after-school intervention program designed specifically to address the holistic developmental needs of students at school. The author originally developed and implemented the program in Kerala, India, and later redesigned it for American school students. Combining the theories of Vygotsky and Erikson, the DREAMS model emphasizes the impact of the community on the development of children. This study evaluates the effects of a summer camp, the primary intervention of a three-year program, on the self-worth, self-esteem, and self-concept of 20 middle school students in Northeast Louisiana. After students attended the week-long program, the most significant improvements were observed in self-esteem and self-worth. Further longitudinal or comparative experimental research on the complete design would provide stronger evidence to draw more substantive conclusions.  (2024), (California State University). All rights reserved.</text>
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                <text>Thomas L., Department of Psychology, Christ University, Maharashtra, India; Curl A.L., Department of Family Science &amp;amp; Social Work, Miami University, Oxford, OH, United States; Thameling C.L., Communication Program, University of Louisiana at Monroe, United States; Vijaya R., Department of Psychology, Christ University, Maharashtra, India; Custer S., Department of Psychology, Miami University, Oxford, OH, United States</text>
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                <text>DREAMS After-School Programme for the Holistic Development of Children Amid Covid-19</text>
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                <text>After-School Programme; ASP Design; ASP Implementation; COVID-19; DREAMS; Holistic Development; Pandemic; Virtual ASP</text>
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                <text>After-school programmes (ASPs) help to facilitate students learning. DREAMS ASP facilitates schoolchildren with holistic development interventions at different locations. Due to the pandemic, DREAMS conducted their ASP in the online mode. The present study aims to narrate the case of ASP in the virtual mode and discuss participants experiences on holistic development at one of its locations. The study employed qualitative study designs. The sample of the study included participants from DREAMS ASP site at Kerala, India. The study interviewed four mentors, seven participants, and their parents to understand participants holistic development. However, the study excluded physical and spiritual aspects of holistic development. It found that the virtual DREAMS ASP was joyful, and there was a significant, positive change in all the selected dimensions of holistic development as reported by mentors, children, and parents. The study encourages future researchers to provide opportunities and frameworks to conduct more ASPs in India.  2022 IGI Global. All rights reserved.</text>
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                <text>Thomas L.; Prakasha G.S.; Joseph J.</text>
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                <text>International Journal of Virtual and Personal Learning Environments, Vol-12, No. 1</text>
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&lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85149978671&amp;amp;doi=10.4018%2FIJVPLE.310008&amp;amp;partnerID=40&amp;amp;md5=76da65e860f9d319f0c6f8a5bb949526" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-85149978671&amp;amp;doi=10.4018%2fIJVPLE.310008&amp;amp;partnerID=40&amp;amp;md5=76da65e860f9d319f0c6f8a5bb949526&lt;/a&gt;</text>
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                <text>ISSN: 19478518</text>
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                <text>Thomas L., Christ University, India; Prakasha G.S., Christ University, India; Joseph J., Christ University, India</text>
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                <text>Kho Kho Model: A Novel Technique for Efficient Handoff in Vehicular Ad-hoc Networks</text>
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              <elementText elementTextId="173391">
                <text>DSRC; Handoff; IEEE 802.11p; Kho Kho Model; Mobility; NS-3; Vehicular Ad hoc Networks; WAVE</text>
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                <text>The highly mobile nature of VANET implies that the nodes involved are constantly disconnecting and reconnecting as they switch between access points or move out of the range of their access points. In such scenarios, seamless connectivity is essential, especially when emergency services are involved. Handoff is a process in wireless communication that takes care of the switching process that happens between access points whenever a mobile device moves from one point to another. In a dynamic scenario involving vehicular nodes, this switching needs to take place between a mobile node or a fixed access point (known as RSUs), as quickly as possible. To this end, this research work proposes a novel handoff method known as the Kho Kho Model - which is loosely based on the traditional Indian sport of the same name. The model groups together nodes that are moving in the same direction, thereby effectively reducing the amount of processing required to perform handoff for a set of nodes. The use of ANN have helped to improve handoff since it can help in making decisions quickly by making use of multiple parameters including signal strength, noise, direction, and others. To improve the efficiency of the proposed handoff model, RBFNN has been used in this research. The proposed model was implemented using NS-3 simulator. The results have shown that the proposed method has a slightly better improvement in the overall NRO, a reduced average delay and reduced jitter compared to the existing handoff method employed by the IEEE 802.11p standard.   2023 IEEE.</text>
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                <text>Thomas L.; Sandeep J.</text>
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              <elementText elementTextId="173394">
                <text>International Conference on Electrical, Computer, Communications and Mechatronics Engineering, ICECCME 2023</text>
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                <text>Institute of Electrical and Electronics Engineers Inc.</text>
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                <text>&lt;a href="https://doi.org/10.1109/ICECCME57830.2023.10252563" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1109/ICECCME57830.2023.10252563&lt;/a&gt;
&lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85174046124&amp;amp;doi=10.1109%2FICECCME57830.2023.10252563&amp;amp;partnerID=40&amp;amp;md5=15cf2f7930f7510e353cac68da50f1ac" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-85174046124&amp;amp;doi=10.1109%2fICECCME57830.2023.10252563&amp;amp;partnerID=40&amp;amp;md5=15cf2f7930f7510e353cac68da50f1ac&lt;/a&gt;</text>
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                <text>ISBN: 979-835032297-2</text>
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                <text>Thomas L., Christ (Deemed to Be University), Department of Computer Science, Karnataka, Bengaluru, India; Sandeep J., Christ (Deemed to Be University), Department of Computer Science, Karnataka, Bengaluru, India</text>
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          <element elementId="50">
            <name>Title</name>
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              <elementText elementTextId="127469">
                <text>Handoff schemes in mobile environments a comparative study</text>
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          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="127470">
                <text>Access points; Ad-Hoc networks; Cost based methods; Cross layer; Handoff; Horizontal Handoff; Routing; Seamless; Switching; Vanets; Vertical handoff; Wireless communications</text>
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                <text>Vehicular ad-hoc networks are one of the most popular applications of Ad-hoc networks, where networks are formed without any sort of physical connecting medium and can be formed whenever required. It is an area in networks that has enjoyed a considerable amount of attention for quite some time. Due to the highly mobile environment where these networks find their usability, it can be understood that there are a lot of problems with respect to maintaining the communication links between the moving vehicular nodes and the static infrastructures which act as the access points (AP) for these moving vehicular mobile nodes (MN). The coverage area of each AP is limited and as such, the connections need to be re-established time and again between the MNs and the closest accessible AP. Handoff is the process involved here, which deals with selecting the optimal APs as well as the best network available for data transmission. In this article, the authors compare various handoff methods and categorize them based on the different approaches they follow. Copyright  2020 IGI Global.</text>
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              <elementText elementTextId="127472">
                <text>Thomas L.; Sandeep J.; Goswami B.; Paulose J.</text>
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              <elementText elementTextId="127473">
                <text>International Journal of Service Science, Management, Engineering, and Technology, Vol-11, No. 1, pp. 55-72.</text>
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              <elementText elementTextId="127474">
                <text>IGI Global</text>
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                <text>&lt;a href="https://doi.org/10.4018/IJSSMET.2020010105" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.4018/IJSSMET.2020010105&lt;/a&gt;
&lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85074518317&amp;amp;doi=10.4018%2FIJSSMET.2020010105&amp;amp;partnerID=40&amp;amp;md5=1bbed86c3f504c12c9f1304cba1ee14a" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-85074518317&amp;amp;doi=10.4018%2fIJSSMET.2020010105&amp;amp;partnerID=40&amp;amp;md5=1bbed86c3f504c12c9f1304cba1ee14a&lt;/a&gt;</text>
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                <text>ISSN: 1947959X</text>
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                <text>English</text>
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                <text>Thomas L., Christ (Deemed to be University), Bengaluru, India; Sandeep J., Christ (Deemed to be University), Bengaluru, India; Goswami B., Christ (Deemed to be University), Bengaluru, India; Paulose J., Christ (Deemed to be University), Bengaluru, India</text>
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              <elementText elementTextId="185888">
                <text>A Survey on Various Handoff Methods in Mobile Ad Hoc Network Environment</text>
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          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
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              <elementText elementTextId="185889">
                <text>Access points; Ad hoc networks; Cognitive radio; Cost-based methods; Cross layer; Handoff; Horizontal handoff; Routing; Seamless; Switching; VANET; Vertical handoffs; Wireless communications</text>
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                <text>Communication has never been the same since the advent of cellular phones and numerous applications with different functionalities seem to crop up on a daily basis. Various applications seem to crop up on a daily basis. Ad hoc networks were developed with the intent of creating networks made up of interconnected nodes, on-the-go. Ad hoc networks have numerous applications, the most popular being vehicular ad hoc networks (VANETs). In VANETs, moving vehicles are considered to be the mobile nodes and mobile vehicular nodes move at high speeds. Mobility of the nodes makes it difficult to maintain stable communication links between the nodes and the access points. A process known as handoff is used to bridge this gap and is considered to be one of the solutions for unstable communication links over larger distances. Handoff can usually be seen when the nodes are mobile and start to move away from the access points. This paper discusses and compares various handoff methods that were proposed by various researchers with an intent to increase positive attributes while negating the rest of the components that do not support in increasing the efficiency of the handoff process.  2020, Springer Nature Singapore Pte Ltd.</text>
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                <text>Thomas L.; Sandeep J.; Goswami B.; Paulose J.</text>
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                <text>Advances in Intelligent Systems and Computing, Vol-767, pp. 27-60.</text>
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                <text>DREAMS is a three-year curriculum-based after-school intervention program for enhancing leadership qualities among the underprivileged and college/university youngsters. It is an innovative model providing a platform for the mentors and the mentees to share their thoughts and knowledge and create a future generation with a growth mindset. The current world is expecting authentic thought leadership among its workforces. This leadership would help the constantly changing world to guide and lead the followers effectively for a better outcome. This study explores the impact of the DREAMS intervention program by Christ University in entrenching authentic thought leadership among its undergraduates. The study employs a qualitative approach to explore the perceptions among Christ University undergraduates about the contributions the DREAMS has made to their leadership development. The study finds evidence that DREAMS initiatives at Christ University have transformed undergraduates into authentic thought leaders.  2024 Nova Science Publishers, Inc.</text>
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                <text>Models for Social Responsibility Action by Higher Education Institutions, pp. 289-311.</text>
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                <text>Thomas L., Department of Psychology, Christ University, Bengaluru, India; Sathiyaseelan A., Department of Psychology, Christ University, Bengaluru, India; Sathiyaseelan B., School of Business and Management, Christ University, Bengaluru, India</text>
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                <text>Social Media is a subject that is large and extremely talked about in the present day. The expanding accessibility of the web and the development of social media brought in a necessity for the analysis of data based on a Facebook page. The number of information generated by social media platforms are expanding exponentially. The best approach to understand data of this magnitude lies in mining and analysis of such big data. The present focus is on the analysis of a Facebook Fan Page. This research work concentrates on the examination of the number of likes, post shares and correlation of posts and comments on various topics, fields or areas of a Facebook page. 'Like' is not the only way of rating a post nowadays. There are also recently added features like emoticons which display emotions such as 'love', 'wow', 'angry', 'sad', etc., to rate a post. The objective of this paper is to extract the data available and to perform analysis on a cricket fan page. Python is used to extract and analyse the information.  IAEME Publication.</text>
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                <text>Thomas L.B., Department of Computer Science, CHRIST (Deemed to be University), Bengaluru, India; Paulose J., Department of Computer Science, CHRIST (Deemed to be University), Bengaluru, India</text>
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                <text>TQCEBT 2024 - 2nd IEEE International Conference on Trends in Quantum Computing and Emerging Business Technologies 2024</text>
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&lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85204488484&amp;amp;doi=10.1109%2FTQCEBT59414.2024.10545042&amp;amp;partnerID=40&amp;amp;md5=74bc4bb1d355f87a81d5531786789136" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-85204488484&amp;amp;doi=10.1109%2fTQCEBT59414.2024.10545042&amp;amp;partnerID=40&amp;amp;md5=74bc4bb1d355f87a81d5531786789136&lt;/a&gt;</text>
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                <text>Thomas L.P., Christ (Deemed to Be University), Pune Lavasa Campus, India</text>
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                <text>MuLSA-Multi Linguistic Sentimental Analyzer for Kannada and Malayalam using Deep Learning</text>
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              <elementText elementTextId="183259">
                <text>LSTM; Natural language Processing; RNN; Sentiment Analysis</text>
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            <description>An account of the resource</description>
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                <text>Natural language Processing has been always a topic of interest in artificial intelligence. Opinion mining or Sentiment Analysis is an important application of Natural language Processing. Sentiment Analysis of text is to extract the sentiments underlined in the text. In this paper, a multi-linguistic sentimental analyzer (MuLSA), is implemented, a model that would address Malayalam, Kannada and English text. This model explores two languages in three categories of the text, its original script, transliterated script, and the combination of both along with English. Deep Learning, Recurrent Neural Network with LSTM is used as the basis for this model. The model exhibits 82% of prediction accuracy.  2021 IEEE.</text>
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              <elementText elementTextId="183261">
                <text>Thomas M.; Ca L.</text>
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              <elementText elementTextId="183262">
                <text>Proceedings of the 2021 2nd International Conference on Communication, Computing and Industry 4.0, C2I4 2021</text>
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              <elementText elementTextId="183263">
                <text>Institute of Electrical and Electronics Engineers Inc.</text>
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                <text>&lt;a href="https://doi.org/10.1109/C2I454156.2021.9689301" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1109/C2I454156.2021.9689301&lt;/a&gt;
&lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85125108165&amp;amp;doi=10.1109%2FC2I454156.2021.9689301&amp;amp;partnerID=40&amp;amp;md5=501b45006e609d7cda2949d4e91b4476" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-85125108165&amp;amp;doi=10.1109%2fC2I454156.2021.9689301&amp;amp;partnerID=40&amp;amp;md5=501b45006e609d7cda2949d4e91b4476&lt;/a&gt;</text>
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              <elementText elementTextId="183266">
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                <text>ISBN: 978-166542013-6</text>
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            <description>The file format, physical medium, or dimensions of the resource</description>
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              <elementText elementTextId="183271">
                <text>Thomas M., CHRIST (Deemed to Be University), Department of CSE, India; Ca L., RVITM, Visvesvaraya Technological University, India</text>
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          <element elementId="50">
            <name>Title</name>
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                <text>Non-linear Convection in Couple Stress Fluid with Non-classical Heat Conduction Under Magnetic Field Modulation</text>
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          <element elementId="49">
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            <description>The topic of the resource</description>
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              <elementText elementTextId="183441">
                <text>Couple stress fluid; Magnetic field modulation; Maxwell-Cattaneo law</text>
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            <name>Description</name>
            <description>An account of the resource</description>
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                <text>A theoretical examination of thermal convection for a couple stress fluid which is electrically conducting and possessing significant thermal relaxation time is explored under time dependent magnetic field. Fouriers law fails for a diverse area of applications such as fluids subjected to rapid heating, strongly confined fluid and nano-devices and hence a non-classical heat conduction law is employed. The heat transport in the system is examined and quantified employing the Lorenz model. The Nusselt number is deduced to quantitate the transfer of heat.  2021, Springer Nature Singapore Pte Ltd.</text>
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              <elementText elementTextId="183443">
                <text>Thomas M.; George K.S.; Pranesh S.</text>
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              <elementText elementTextId="183444">
                <text>Communications in Computer and Information Science, Vol-1345, pp. 231-242.</text>
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              <elementText elementTextId="183445">
                <text>Springer Science and Business Media Deutschland GmbH</text>
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            <description>A point or period of time associated with an event in the lifecycle of the resource</description>
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              <elementText elementTextId="183446">
                <text>2021-01-01</text>
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                <text>&lt;a href="https://doi.org/10.1007/978-981-16-4772-7_18" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1007/978-981-16-4772-7_18&lt;/a&gt;
&lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85113334850&amp;amp;doi=10.1007%2F978-981-16-4772-7_18&amp;amp;partnerID=40&amp;amp;md5=d72fc14a0ea88f4e54f638357084cffc" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-85113334850&amp;amp;doi=10.1007%2f978-981-16-4772-7_18&amp;amp;partnerID=40&amp;amp;md5=d72fc14a0ea88f4e54f638357084cffc&lt;/a&gt;</text>
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                <text>Restricted Access</text>
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                <text>ISSN: 18650929; ISBN: 978-981164771-0</text>
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            <name>Format</name>
            <description>The file format, physical medium, or dimensions of the resource</description>
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                <text>Online</text>
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            <name>Language</name>
            <description>A language of the resource</description>
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                <text>English</text>
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                <text>Thomas M., Department of Mathematics, CHRIST (Deemed to be University), Bengaluru, Karnataka, India; George K.S., Department of Science, Christ Academy Institute for Advanced Studies, Bengaluru, Karnataka, India; Pranesh S., Department of Mathematics, CHRIST (Deemed to be University), Bengaluru, Karnataka, India</text>
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          <elementContainer>
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              <name>Title</name>
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      <name>Article</name>
      <description>Faculty Publications -Articles</description>
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        <elementContainer>
          <element elementId="50">
            <name>Title</name>
            <description>A name given to the resource</description>
            <elementTextContainer>
              <elementText elementTextId="131540">
                <text>Identification of language in a cross linguistic environment</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="131541">
                <text>Cross linguistic; Multilinguistic; Sentimental analysis</text>
              </elementText>
            </elementTextContainer>
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          <element elementId="41">
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            <description>An account of the resource</description>
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                <text>World has become very small due to software internationationalism. Applications of machine translations are increasing day by day. Using multiple languages in the social media text is a developing trend. Availability of fonts in the native language enhanced the usage of native text in internet communications. Usage of transliterations of language has become quite common. In Indian scenario current generations are familiar to talk in native language but not to read and write in the native language, hence they started using English representation of native language in textual messages. This paper describes the identification of the transliterated text in cross lingual environment. In this paper a Neural network model identifies the prominent language in the text and hence the same can be used to identify the meaning of the text in the concerned language. The model is based upon Recurrent Neural Networks that found to be the most efficient in machine translations. Language identification can serve as a base for many applications in multi linguistic environment. Currently the South Indian Languages Malayalam, Tamil are identified from given text. An algorithmic approach of Stop words-based model is depicted in this paper. Model can be also enhanced to address all the Indian Languages that are in use. Copyright  2020 Institute of Advanced Engineering and Science. All rights reserved.</text>
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              <elementText elementTextId="131543">
                <text>Thomas M.; Latha C.A.; Puthussery A.</text>
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              <elementText elementTextId="131544">
                <text>Indonesian Journal of Electrical Engineering and Computer Science, Vol-18, No. 1, pp. 544-548.</text>
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              <elementText elementTextId="131545">
                <text>Institute of Advanced Engineering and Science</text>
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            <name>Date</name>
            <description>A point or period of time associated with an event in the lifecycle of the resource</description>
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              <elementText elementTextId="131546">
                <text>2019-01-01</text>
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                <text>&lt;a href="https://doi.org/10.11591/ijeecs.v18.i1.pp544-548" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.11591/ijeecs.v18.i1.pp544-548&lt;/a&gt;
&lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85075585761&amp;amp;doi=10.11591%2Fijeecs.v18.i1.pp544-548&amp;amp;partnerID=40&amp;amp;md5=613c42f6e25c20331cc14cff1470040b" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-85075585761&amp;amp;doi=10.11591%2fijeecs.v18.i1.pp544-548&amp;amp;partnerID=40&amp;amp;md5=613c42f6e25c20331cc14cff1470040b&lt;/a&gt;</text>
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            <elementTextContainer>
              <elementText elementTextId="131548">
                <text>All Open Access; Gold Open Access; Green Open Access</text>
              </elementText>
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                <text>Thomas M., Regional Research Center, Visvesvaraya Technological University, India; Latha C.A., Department of (CSE), AMC Engineering College, Visvesvaraya Technological University, India; Puthussery A., Department of Science and Humanities, CHRIST (Deemed to be University), India</text>
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                <text>Thomas M., Department of Mathematics, CHRIST, Deemed to Be University, Bengaluru, Karnataka, India; Pranesh S., Department of Mathematics, CHRIST, Deemed to Be University, Bengaluru, Karnataka, India; Sangeetha George K., Department of Science, Christ Academy Institute for Advanced Studies, Bengaluru, Karnataka, India</text>
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                <text>Attitude; Generation X; Generation Y; Generation Z; Web Atmospherics</text>
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                <text>Generational examinations are turning out to be necessary with the characteristics they exhibit. This research work aimed at establishing the interceding relationship of disposition of three distinctive generations-Generation X, Generation Y, and Generation Z. In complete, 1200 responses were acquired from both male and female respondents of each generational class dependent on online purchase data collected by employing Google Forms. For the investigation, the model utilized the SOR framework. The results indicated that attitude does not play a vital role in the purchase intention of Generation X followed by the partial mediation of attitude for Generation Y and full mediation effect for Generation Z. This steady increment of attitudinal change underpins the examination by setting up proof that every age shifts in their mentality and purchasing conduct. Online retailers must concentrate on showcasing systems and create online visual merchandising cues which outwardly advance and make a feeling of stimulating attitude for generations. The current study also added value to the existing literature by classifying the customer base not merely on age, but also on their technological perspective of distinguishing web atmospheric cues and catering to their needs from a generational outlook. The study also took into account the importance of the organism's role played by attitude in the S-O-R framework. In this manner, the study helps marketers to design methodologies and plan online visual marketing space for better generational reaction and benefit.  2021, Associated Management Consultants Pvt. Ltd.. All rights reserved.</text>
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                <text>Indian Journal of Marketing, Vol-51, No. 4, pp. 44-57.</text>
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                <text>Thomas M.R., Department of Commerce, CHRIST (Deemed to be University), Bengaluru, Karnataka, 560 029, India; Mathew J., Department of Management Studies, CHRIST (Deemed to be University), Bengaluru, Karnataka, 560 029, India</text>
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