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                <text>Data Mining Approaches forHealthcare Decision Support Systems</text>
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                <text>Bayes; C4.5; Clinical decision support system; HDSS; WEKA</text>
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                <text>Data mining is a user-friendly approach to locating previously unknown or hidden information in data. The employment of data mining technologies in the healthcare system may result in the finding of relevant data. Data mining is used in healthcare medicine to construct learning models that predict a patients condition. Data mining technologies have the potential to benefit all stakeholders in the healthcare industry. For example, data mining may aid health providers in detecting theft and fraud, medical organizations in making customer service management decisions, physicians in discovering effective therapies and best practices, and customers in obtaining suitable and less expensive healthcare. Contemporary systems, due to their complexity and size, are unable to control and analyze the huge amounts of data generated by healthcare operations. Data mining is a technique and mechanism for converting a large amount of data into useful information. The fundamental purpose of this research is to look at what makes clinical data mining unique, to give an overview of existing clinical decision support systems, to identify and select the most common data mining algorithms used in modern Health and Demographic Surveillance System (HDSS), and to compare different data mining algorithms.  2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.</text>
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                <text>Pramanik S.; Galety M.G.; Samanta D.; Joseph N.P.</text>
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                <text>Lecture Notes in Networks and Systems, Vol-490, pp. 721-733.</text>
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                <text>Pramanik S., Department of CSE, Haldia Institute of Technology, West Bengal, Haldia, India; Galety M.G., College of Information Technology and Computer Science, Catholic University in Erbil, Erbil, Iraq; Samanta D., Department of Computer Science, CHRIST University, Karnataka, Bangalore, India; Joseph N.P., Department of Computer Science, CHRIST University, Karnataka, Bangalore, India</text>
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                <text>A Novel Approach for Segmenting Coronary Artery from Angiogram Videos</text>
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                <text>Coronary angiogram; Coronary artery; Keyframe; Segmentation; Video</text>
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                <text>This paper addresses the research focuses on coronary artery disease; it is one of the major heart diseases affecting the people all around the world in the recent era. This heart disease is primarily diagnosed using a medical test called angiogram test. During the angiogram procedure the cardiologist often physically selects the frame from the angiogram video to diagnose the coronary artery disease. Due to the waning and waxing changeover in the angiogram video, its hard for the cardiologist to identify the artery structure from the frame. So, finding the keyframe which has a complete artery structure is difficult for the cardiologist. To help the cardiologist a method is proposed, to detect the keyframe which has segmented artery from the angiogram video.  2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.</text>
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                <text>Kavipriya K.; Hiremath M.</text>
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                <text>Lecture Notes in Networks and Systems, Vol-528, pp. 191-200.</text>
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                <text>&lt;a href="https://doi.org/10.1007/978-981-19-5845-8_14" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1007/978-981-19-5845-8_14&lt;/a&gt;
&lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85141685562&amp;amp;doi=10.1007%2F978-981-19-5845-8_14&amp;amp;partnerID=40&amp;amp;md5=100b916d9a9695191283efaf9794a86d" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-85141685562&amp;amp;doi=10.1007%2f978-981-19-5845-8_14&amp;amp;partnerID=40&amp;amp;md5=100b916d9a9695191283efaf9794a86d&lt;/a&gt;</text>
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                <text>ISSN: 23673370; ISBN: 978-981195844-1</text>
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                <text>Kavipriya K., CHRIST (Deemed to Be University), Bangalore, India; Hiremath M., CHRIST (Deemed to Be University), Bangalore, India</text>
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                <text>ML-Based Prediction Model for Cardiovascular Disease</text>
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                <text>Cardiovascular disease (CVD); Logistic regression; Nae Bayes; Random forest</text>
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                <text>In this paper, the prediction of cardiovascular disease model based on the machine learning algorithm is implemented. In medical system applications, data mining and machine learning play an important role. Machine learning algorithms will predict heart disease or cardiovascular disease. Initially, online datasets are applied to preprocessing stage. Preprocessing stage will divide the data from baseline data. In the same way, CVD events are collected from data follow-ups. After that, data will be screened using the regression model. The regression model consists of logistic regression, support vector machine, nae Bayes, random forest, and K-nearest neighbors. Based on the techniques, the disease will be classified. Before classification, a testing procedure will be performed. At last from results, it can observe that accuracy, misclassification, and reliability will be increased in a very effective way.  2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.</text>
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                <text>Nagavelli U.; Samanta D.; Thomas B.</text>
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                <text>Lecture Notes in Networks and Systems, Vol-490, pp. 91-98.</text>
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&lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85138760730&amp;amp;doi=10.1007%2F978-981-19-4052-1_11&amp;amp;partnerID=40&amp;amp;md5=d149662a92dcb6a3c3e504032593a768" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-85138760730&amp;amp;doi=10.1007%2f978-981-19-4052-1_11&amp;amp;partnerID=40&amp;amp;md5=d149662a92dcb6a3c3e504032593a768&lt;/a&gt;</text>
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                <text>Nagavelli U., Dayananda Sagar Research Foundation, University of Mysore (UoM), Karnataka, Mysore, India; Samanta D., Dayananda Sagar Research Foundation, University of Mysore (UoM), Karnataka, Mysore, India, Department of Computer Science, CHRIST Deemed to be University, Karnataka, Bangalore, India; Thomas B., Department of Computer Science, CHRIST Deemed to be University, Karnataka, Bangalore, India</text>
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                <text>Environmental Concern in TPB Model for Sustainable IT Adoption</text>
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                <text>Environmental concern; Millennial; Structure equation modeling; Sustainable information technology; Theory of planned behavior</text>
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                <text>Rapid advancement in technology and continuous environmental degradation has attracted the attention of practitioners toward sustainable solutions. This study aims to investigate educated millennial beliefs and behavior toward sustainable IT practices. The Theory of Planned Behavior (TPB) model deployed in the study was extended through perceived environmental responsibility. A survey was conducted to examine the sustainable IT adoption behavior of millennial in the National Capital Region, Delhi India. Variance based partial least square structure equation modeling was employed to evaluate the hypothesized model. Findings of the study confirm environmental concern (ER) a precursor for attitude (ATT), perceived behavioral control (PBC), and subjective norm (SN). Further, there is a significant positive influence of ATT, PBC, and SN on the adoption intention of sustainable IT practices, followed by the effect of adoption intention on actual adoption behavior. Study disseminates valuable insights to policymakers and marketers to formulate strategies and policies to attain sustainability through sustainable IT practices.  2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.</text>
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                <text>Kumar N., School of Business and Management, CHRIST University, Bangalore, India; Raut R.D., Department of Applied Electronics, Sant Gadge Baba University, Maharashtra, Amravati, India; Upreti K., Department of Computer Science and Engineering, Dr. Akhilesh Das Gupta Institute of Technology and Management, Delhi, India; Alam M.S., Razak Faculty of Technology and Informatics, Universiti Teknologi Malaysia, Kuala Lumpur, Malaysia; Shafiuddin M., Oman College of Management and Technology, Halban, Oman; Verma M., Delhi Technological University, Shahbad Daulatpur, Bawana Road, Delhi, India</text>
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                <text>Comparative Study of Graph Theory for Network System</text>
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                <text>Cluster; Degree; Matching index; Mesh network model; Operators; Ring network model; Star network model</text>
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                <text>The historical background of how graph theory emerged into world and gradually gained importance in different fields of study is very well stated in many books and articles. Some of the most important applications of graph theory can be seen in the field network theory. Its significance can be seen in some of the complex network systems in the field of biological system, ecological system, social systems as well as technological systems. In this paper, the basic concepts of graph theory in terms of network theory have been provided. The various network models like star network model, ring network model, and mesh network model have been presented along with their graphical representation. We have tried to establish the link between the models with the existing concepts in graph theory. Also, many application-based examples that links graph theory with network theory have been looked upon.  2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.</text>
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                <text>Dahal R.; Samanta D.; Karuppiah M.; Biswas J.</text>
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                <text>Lecture Notes in Networks and Systems, Vol-492, pp. 73-84.</text>
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                <text>ISSN: 23673370; ISBN: 978-981193678-4</text>
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                <text>Dahal R., Department of Mathematics, CHRIST University, Bangalore, India; Samanta D., Department of Computer Science, CHRIST University, Bangalore, India; Karuppiah M., Department of Computer Science and Engineering, SRM Institute of Science and Technology, Delhi-NCR Campus, Uttar Pradesh, Ghaziabad, 201204, India; Biswas J., Department of Computer Science, CHRIST University, Bangalore, India</text>
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                <text>Traffic Management in Forest and Ecosystem Conservation. A Study on NH 766 Through Bandipore National Park and Proposing a Traffic Management Plan with Alternate Route Consideration</text>
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                <text>Forest conservation; Sustainable transportation; Traffic management plan</text>
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                <text>Transportation network is inevitable in the developing world. In India where we have a rich forest cover, many of the roads are passing through eco-sensitive areas such as national parks and wildlife sanctuaries. There are issues being reported due to these roads passing through the eco-sensitive areas such as animal deaths due to road accidents, loss of habitats, fragmentation of ecosystems, and loss of forest cover. The CalicutKollegal national highway, NH766 is passing through Bandipore national park on the stretch which connects Sultan Bathery and Gundelpette. Recently, a conflict had risen between environmental activists and the public for imposing a complete traffic ban along the NH766 passing through the Bandipore NP. A baseline study had conducted on the NH766, and the impact of the same on the ecosystem existing is analyzed through the data collected. A network analysis is performed on the alternate route available for bypassing the traffic. Traffic management plan and policies are derived out of the analysis on the baseline data collected and the inferences drawn from the network analysis performed on the alternate routes.  2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.</text>
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                <text>Wilson A.B.M.; Naseer M.A.</text>
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                <text>Lecture Notes in Civil Engineering, Vol-261, pp. 703-718.</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/10.1007/978-981-19-2273-2_46" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1007/978-981-19-2273-2_46&lt;/a&gt;
&lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85142698500&amp;amp;doi=10.1007%2F978-981-19-2273-2_46&amp;amp;partnerID=40&amp;amp;md5=95e61f09939bd422fee16c7051be1665" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-85142698500&amp;amp;doi=10.1007%2f978-981-19-2273-2_46&amp;amp;partnerID=40&amp;amp;md5=95e61f09939bd422fee16c7051be1665&lt;/a&gt;</text>
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            <elementTextContainer>
              <elementText elementTextId="176197">
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                <text>ISSN: 23662557; ISBN: 978-981192272-5</text>
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            <description>The file format, physical medium, or dimensions of the resource</description>
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              <elementText elementTextId="176199">
                <text>Online</text>
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            <description>A language of the resource</description>
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              <elementText elementTextId="176200">
                <text>English</text>
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            <description>The nature or genre of the resource</description>
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                <text>Wilson A.B.M., School of Architecture, Christ (Deemed to be University), Kengeri, Bangalore, India; Naseer M.A., Department of Architecture and Planning, National Institute of Technology-Calicut, Kozhikode, India</text>
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                <text>A Systematic Review of AI Privileges to Combat Widen Threat of Flavivirus</text>
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            <description>The topic of the resource</description>
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              <elementText elementTextId="176176">
                <text>Artificial intelligence; Ensemble classifier; Flavivirus; Healthcare; Machine learning; Prediction</text>
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                <text>In order to prevent the extraordinary spread of sickness caused by Flavivirus, the healthcare business as well as public health are working tirelessly. Individual lives have been affected, but mosquito-infested public locations have made a considerable influence on the general publics health. Site adaptability, climate change, and inadequate healthcare services and surveillance all contribute to the spread of the virus. The potential dangers of this virus, on the other hand, have been uncovered through extensive and ongoing research in the healthcare business. Modern healthcare facilities may benefit from the reasoning capabilities and ever-evolving analysis techniques provided by artificial intelligence. More conclusive findings have been demonstrated in the realm of AI applications in healthcare domains such as cancer, neurology, and cardiology. A number of research works have justified the use of AI-oriented algorithms for intelligently handling unstructured and huge healthcare data. When it comes to using artificial intelligence (AI) to identify, forecast, diagnose, and treat disease using data from public health and biological databases, the current effort aims to undertake an extensive examination. There may be issues in integrating assistive technology into the current healthcare system, as well. Because of this review, we hope that by merging AI research with clinical and public health specialists, critical knowledge may be extracted from data in order to unchain the relevant information of Flavivirus disease from its chains.  2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.</text>
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                <text>Potluri S.; Satpathy S.; Mahapatra S.; Nanjundan P.; Mohanty S.N.</text>
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                <text>Smart Innovation, Systems and Technologies, Vol-317, pp. 189-199.</text>
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              <elementText elementTextId="176183">
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                <text>Sinha S.K., Department of CSE, CHRIST Deemed to Be University, Bangalore, India; Mukhopadhyay D., Department of CSE, CHRIST Deemed to Be University, Bangalore, India; Bhattacharyya S., Rajnagar Mahavidyalaya, Rajnagar, Birbhum, India</text>
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                <text>Pawar V., Assistant Professor, Department of Computer Applications, CMR Institute of Technology, Bengaluru, India, Research Scholar, Department of Computer Science, Christ Deemed to be University, Bengaluru, India; Jose D.V., Christ Deemed to be University, Bangalore, India</text>
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                <text>Covid-19 pandemic has affected the lives of people across the globe. People belonging to all the sectors of the society have faced a lot of challenges. Strict measures like lockdown and social distancing have been imposed several times by governments throughout the world. Universities had to incorporate the online method of teaching instead of the regular offline classes to implement social distancing. Online classes were beneficial to most of the students; at the same time, there were many difficulties faced by the students due to lack of facilities to attend classes online. Students faced a lot of challenges, and a sense of anxiety was prevalent during the uncertain times of the pandemic. This research article analyzes the stress among students considering the tweets across the globe related to students stress. The algorithms considered for classification of tweets as positive or negative are support vector machine (SVM), bidirectional encoder representation from transformers (BERT), and long short-term memory (LSTM). The accuracy of the abovementioned algorithms is compared.  2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.</text>
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                <text>Jyothsna R.; Rohini V.; Paulose J.</text>
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                <text>Smart Innovation, Systems and Technologies, Vol-317, pp. 317-324.</text>
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&lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85145010365&amp;amp;doi=10.1007%2F978-981-19-6068-0_31&amp;amp;partnerID=40&amp;amp;md5=d53e6ff3872ff78ede9deb4a491cff80" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-85145010365&amp;amp;doi=10.1007%2f978-981-19-6068-0_31&amp;amp;partnerID=40&amp;amp;md5=d53e6ff3872ff78ede9deb4a491cff80&lt;/a&gt;</text>
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              <elementText elementTextId="176127">
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                <text>ISSN: 21903018; ISBN: 978-981196067-3</text>
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                <text>Jyothsna R., Christ University, Bangalore, India; Rohini V., Christ University, Bangalore, India; Paulose J., Christ University, Bangalore, India</text>
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                <text>Teaching Learning-Based Optimization with Learning EnthusiasmMechanism for Optimal Control of PV Inverters in Utility Grids for Techno-Economic Goals</text>
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            <elementTextContainer>
              <elementText elementTextId="176106">
                <text>Energy cost; LebTLBO; Optimal deployment; Utility-owned DG</text>
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                <text>This study presents the optimal placement and operation of distributed generation (DG) sources in a distribution system embedded with utility-owned DG sources. Cost minimization and technical improvement of the network are the key objectives of the distribution company (DisCo). With the increasing popularity for renewable energy sources, DisCos are installing their own DGs to fulfill their electricity demand partially. When DisCos are the DG owners, the technical and economic considerations overlap. A novel method is proposed in this paper based on the recent variant of the teaching learning-based optimization (TLBO) algorithm and learning enthusiasm-based TLBO (LebTLBO) to optimize locations, sizes, and operational power factors of DGs in a distribution system with DisCo-owned DGs. A multi-objective function to improve voltage stability, reduce distribution losses, and reduce energy costs has been considered for solving the problem.  2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.</text>
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            <name>Creator</name>
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            <elementTextContainer>
              <elementText elementTextId="176108">
                <text>John N.; Janamala V.; Rodrigues J.</text>
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            <description>A related resource from which the described resource is derived</description>
            <elementTextContainer>
              <elementText elementTextId="176109">
                <text>Lecture Notes in Electrical Engineering, Vol-928, pp. 1-13.</text>
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              <elementText elementTextId="176110">
                <text>Springer Science and Business Media Deutschland GmbH</text>
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                <text>&lt;a href="https://doi.org/10.1007/978-981-19-5482-5_1" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1007/978-981-19-5482-5_1&lt;/a&gt;
&lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85145007511&amp;amp;doi=10.1007%2F978-981-19-5482-5_1&amp;amp;partnerID=40&amp;amp;md5=685bd7a91063d4f7f31e528200e3e752" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-85145007511&amp;amp;doi=10.1007%2f978-981-19-5482-5_1&amp;amp;partnerID=40&amp;amp;md5=685bd7a91063d4f7f31e528200e3e752&lt;/a&gt;</text>
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              <elementText elementTextId="176113">
                <text>Restricted Access</text>
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              <elementText elementTextId="176114">
                <text>ISSN: 18761100; ISBN: 978-981195481-8</text>
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            <name>Format</name>
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              <elementText elementTextId="176116">
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                <text>Conference paper</text>
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                <text>John N., Department of Electrical and Electronics Engineering, School of Engineering and Technology, Christ (Deemed to Be University), Karnataka, Bangalore, 560 074, India; Janamala V., Department of Electrical and Electronics Engineering, School of Engineering and Technology, Christ (Deemed to Be University), Karnataka, Bangalore, 560 074, India; Rodrigues J., Department of Electrical and Electronics Engineering, School of Engineering and Technology, Christ (Deemed to Be University), Karnataka, Bangalore, 560 074, India</text>
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              <description>A name given to the resource</description>
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            <name>Title</name>
            <description>A name given to the resource</description>
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              <elementText elementTextId="176091">
                <text>Low temperature synthesis of MoO3 nanoparticles by hydrothermal method: Investigation on their structural and optical properties</text>
              </elementText>
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          </element>
          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="176092">
                <text>Luminescence; Micro-strain effects; Orthorhombic; Wide bandgap; Williamson-Hall plots</text>
              </elementText>
            </elementTextContainer>
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            <description>An account of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="176093">
                <text>Molybdenum trioxide nanoparticles have recently achieved notable attention in optoelectronic and biomedical applications by virtue of their excellent structural, optical, electrical, and catalytic characteristics. The work presented here demonstrates the synthesis of orthorhombic MoO3 through the facile hydrothermal method at low temperature. Structural and optical characterization of the prepared sample was examined. XRD studies and Raman spectroscopy were carried out to study the structural behavior of the sample. The XRD peaks were concordant with the standard peaks of MoO3, which corresponds to the orthorhombic structure of MoO3. Micro-strain effects were also verified by the W-H method using UDM, UDEDM, and USDM. Raman spectroscopic data ascertained the orthorhombic phase of MoO3. From Tauc plot, a wide bandgap value (4.9 eV) was evaluated. In photoluminescence spectroscopy, peaks are related to the transition among the sub-bands of Mo5+ defects. Being a wide bandgap oxide semiconductor, MoO3 is a promising and worthy material for luminescence applications.  2022</text>
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              <elementText elementTextId="176094">
                <text>Avani A.V.; Chrisma R.B.; Anila E.I.</text>
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              <elementText elementTextId="176095">
                <text>Materials Today: Proceedings, Vol-80, pp. 629-633.</text>
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              <elementText elementTextId="176096">
                <text>Elsevier Ltd</text>
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            <name>Date</name>
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              <elementText elementTextId="176097">
                <text>2023-01-01</text>
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                <text>&lt;a href="https://doi.org/10.1016/j.matpr.2022.11.060" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1016/j.matpr.2022.11.060&lt;/a&gt;
&lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85143072897&amp;amp;doi=10.1016%2Fj.matpr.2022.11.060&amp;amp;partnerID=40&amp;amp;md5=5d1378af5de7538e8cbeef1ebab32682" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-85143072897&amp;amp;doi=10.1016%2fj.matpr.2022.11.060&amp;amp;partnerID=40&amp;amp;md5=5d1378af5de7538e8cbeef1ebab32682&lt;/a&gt;</text>
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            <description>Information about rights held in and over the resource</description>
            <elementTextContainer>
              <elementText elementTextId="176099">
                <text>Restricted Access</text>
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                <text>ISSN: 22147853</text>
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            <description>The file format, physical medium, or dimensions of the resource</description>
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                <text>Online</text>
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              <elementText elementTextId="176102">
                <text>English</text>
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                <text>Avani A.V., Department of Physics and Electronics, CHRIST (Deemed to be University), Karnataka, Bengaluru, 560029, India; Chrisma R.B., Department of Physics and Electronics, CHRIST (Deemed to be University), Karnataka, Bengaluru, 560029, India; Anila E.I., Department of Physics and Electronics, CHRIST (Deemed to be University), Karnataka, Bengaluru, 560029, India</text>
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            <element elementId="50">
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            <description>A name given to the resource</description>
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                <text>A Shortest Path Problem for Drug Delivery Using Domination and Eccentricity</text>
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            <name>Subject</name>
            <description>The topic of the resource</description>
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                <text>Comparison; Domatic number; Domination; Drug delivery; Eccentricity; Networking; Routing problem; Shortest path; Weighted edges</text>
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                <text>The concept of domination was first introduced in by Ore in 1962. With this, the study of domination gained importance and has been vigorously studied since then. The idea about eccentricity for vertices in a graph was given by Buckley and Harary in 1990. This paper combined the ideas about domination and eccentricity and provides the observation obtained during the study. Most of the basic ideas about domination and eccentricity has been covered and also a comparative study between these two has been stated along with problem of drug transportation through networks. These ideas can be further used to solve the real-world problems which uses concepts of domination and eccentricity like for example drug delivery game theory problems, routing problem, assignment problem and many more.  2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.</text>
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              <elementText elementTextId="176080">
                <text>Kartha J.R.; Dahal R.; Samanta D.; Poonia R.C.; Bhattacharya A.; Dutta S.</text>
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              <elementText elementTextId="176081">
                <text>Smart Innovation, Systems and Technologies, Vol-316, pp. 207-215.</text>
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              <elementText elementTextId="176082">
                <text>Springer Science and Business Media Deutschland GmbH</text>
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&lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85144198664&amp;amp;doi=10.1007%2F978-981-19-5403-0_17&amp;amp;partnerID=40&amp;amp;md5=dbc7463e6c07cd5f2257a98690e5da08" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-85144198664&amp;amp;doi=10.1007%2f978-981-19-5403-0_17&amp;amp;partnerID=40&amp;amp;md5=dbc7463e6c07cd5f2257a98690e5da08&lt;/a&gt;</text>
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                <text>Kartha J.R., CHRIST (Deemed to Be University), Karnataka, Bengalore, India; Dahal R., CHRIST (Deemed to Be University), Karnataka, Bengalore, India; Samanta D., CHRIST (Deemed to Be University), Karnataka, Bengalore, India; Poonia R.C., CHRIST (Deemed to Be University), Karnataka, Bengalore, India; Bhattacharya A., Institute of Engineering Management, Kolkata, India; Dutta S., Institute of Engineering Management, Kolkata, India</text>
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                <text>Improvised Model for Estimation of Cable Bending Stiffness Under Various Slip Regimes</text>
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                <text>Bending stiffness; Coulomb friction force; Hertzian contact theory; Interwire slippage; Stranded cables</text>
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                <text>It is well known that the bending response of a stranded cable varies between two extremes, known as a monolithic stickslip state and a completely frictionless loose wire state. While the monolithic state offers the maximum stiffness for the cable, the latter loose wire assembly results in minimum stiffness. The estimation of the actual behavior of the cable under any loading scenario demands a proper modeling that accounts for the interaction of the constituent wires in the intermittent slip stages. During loading, the wires are not only subjected to forces along their axes but are considerably acted upon with radial forces that cause clenching effect. Major research works have focused on the frictional resistance of these radial forces from the Coulomb hypothesis, which contributes to the macro slip phenomenon. As the effect of these radial clenching forces are also significant in causing high contact stresses between wires at the adjacent layers, the need for considering the micro slip at these locations is also vital in the evaluation of the net cable stiffness. In this paper, a novel model is proposed that considers the slip caused by the Coulomb friction hypothesis and the micro slip caused by the Hertzian contact friction for the evaluation of bending stiffness. The variation of the bending stiffness has been evaluated for a single-layered cable as a function of bending curvature at various locations by studying their slip regimes. The predicted results are compared with the published results to establish the refined combined slip hypothesis suggested in this paper. The suggested slip model in this paper has also been accounted with the improvised kinematic relations that consider the wire stretch effect, a parameter that has been neglected in this cable research till date.  2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.</text>
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                <text>Lecture Notes in Mechanical Engineering, pp. 389-402.</text>
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                <text>Dulabhai H.P., CHRIST (Deemed to be University), Bangalore, 560074, India; Parthasarthy N.S., CHRIST (Deemed to be University), Bangalore, 560074, India; Hebbar G.S., CHRIST (Deemed to be University), Bangalore, 560074, India</text>
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                <text>A Review of the Detection of Pulmonary Embolism from Computed Tomography Images Using Deep Learning Methods</text>
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                <text>Computed tomography; Convolutional neural network; Deep learning; Pulmonary embolism</text>
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                <text>Medical imaging has been evolving at a steady pace generating enormous amounts of health data, and the use of deep learning (DL) has helped a great deal in processing the detailed data. Deep learning-based methods are used in different medical imaging tasks to detect and diagnose diseases. For example, medical imaging is used to diagnose pulmonary embolism (PE), a commonly occurring cardiovascular disease with high mortality and prevalence and a low diagnosis rate. According to medical experts, PE has resulted in many deaths because of missed diagnoses for the medical condition. Another critical aspect of the disease is the possibility of permanent lung damage if left untreated. The use of deep learning methods in medical imaging is attributed to their ability to use learning-based methods to process enormous amounts of data. However, there are some unique challenges in the detection of PE. PE is not specific in its clinical presentation and is easily ignored, making it difficult to diagnose. Deep learning-based detection methods help a great deal in the disease detection in miniature sub-branches of the alveoli, and images with noisy artifacts easily compared to manual diagnosis.  2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.</text>
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                <text>Das M.P.; Rohini V.</text>
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                <text>Smart Innovation, Systems and Technologies, Vol-317, pp. 349-360.</text>
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                <text>ISSN: 21903018; ISBN: 978-981196067-3</text>
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                <text>Das M.P., Department of Computer Science, CHRIST (Deemed to be University), Bengaluru, India; Rohini V., Department of Computer Science, CHRIST (Deemed to be University), Bengaluru, India</text>
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                <text>Effect of pH on the structural and optical properties of cobalt oxide nanoparticles synthesized by hydrothermal method</text>
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                <text>Hydrothermal method; Micro strain; Point defects; Quantum size effect; Scherrer equation; Williamson - Hall Plot</text>
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                <text>The paper focuses on the synthesis and characterization of cobalt oxide nanoparticles synthesized under different alkaline pH of the precursor solution by hydrothermal method. Cubic spinel Co3O4 crystallites were observed by X-ray diffraction pattern (XRD) and Raman spectrum. The crystallite size decreases as the pH value increases. The absorption spectrum exhibited two broad bands which are in good agreement with the cobalt oxide band structure. The change in bandgap was observed with pH of the precursor solution in agreement with size effects. Photoluminescence (PL) spectra consist of a broad emission with different peaks which are due to point defects.  2022</text>
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                <text>Chrisma R.B.; Avani A.V.; Anila E.I.</text>
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                <text>Materials Today: Proceedings, Vol-80, pp. 942-946.</text>
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                <text>ISSN: 22147853</text>
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                <text>Chrisma R.B., Christ (Deemed to be University), Karnataka, Bengaluru, 560029, India; Avani A.V., Christ (Deemed to be University), Karnataka, Bengaluru, 560029, India; Anila E.I., Christ (Deemed to be University), Karnataka, Bengaluru, 560029, India</text>
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                <text>Thickness dependent tungsten trioxide thin films deposited using DC magnetron sputtering for electrochromic applications</text>
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                <text>Corning glass; Electrochromism; FTO substrates; Hybrid thin films; WO&lt;sub&gt;3&lt;/sub&gt;</text>
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                <text>DC magnetron sputtering was used to grow tungsten oxide (WO3) thin films on FTO and corning substrates. SEM, XRD, Electrochemical Analyzer, and UVVis Spectrometer were used to analyze surface morphology, structural properties, electrochromic characteristics, and optical characteristics. At an 800 nm wavelength, a decrease in thin-film thickness increased optical transmittance from 87 % to 95 %. Furthermore, coloring efficiency was observed to vary with the thickness of thin films for both 500 nm and 375 nm are 10.34 cm2 C-1 to 18.57 cm2 C-1. In comparison to the high-thickness thin film, the lesser-thickness deposited nano-thin film has a higher diffusion coefficient. At 8 10-4 mbar partial pressure, the diffusion coefficients for the smaller and the high-thickness thin film are 7.28x10-14 cm2s?1 and 6.0x10-14 cm2s?1, respectively. The diffusion coefficient and coloring efficiency have been found to have a considerable influence on the thickness and surface-to-volume ratio, which could be important in electrochromic applications.  2022</text>
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                <text>G V A.R.; Shaik H.; Naveen Kumar K.; Imran Jafri R.; Abdul Sattar S.; Gupta J.; Doreswamy B.H.</text>
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                <text>Materials Today: Proceedings, Vol-80, pp. 817-823.</text>
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                <text>ISSN: 22147853</text>
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                <text>G V A.R., Department of Physics, Nitte Meenakshi Institute of Technology, VTU, Karnataka, Belgaum, 590018, India, Research Center, Department of Physics, SJB Institute of Technology, VTU, Karnataka, Belgaum, 560060, India; Shaik H., Department of Physics, Nitte Meenakshi Institute of Technology, VTU, Karnataka, Belgaum, 590018, India, Center for Nanomaterials and MEMS, Nitte Meenakshi Institute of Technology, Yelahanka, Bengaluru, 560064, India; Naveen Kumar K., Department of Physics, Nitte Meenakshi Institute of Technology, VTU, Karnataka, Belgaum, 590018, India, Center for Nanomaterials and MEMS, Nitte Meenakshi Institute of Technology, Yelahanka, Bengaluru, 560064, India; Imran Jafri R., Department of Physics and Electronics, Christ University, Hosur Road, Bengaluru, 560029, India; Abdul Sattar S., Department of Physics, Nitte Meenakshi Institute of Technology, VTU, Karnataka, Belgaum, 590018, India; Gupta J., Department of Physics, Nitte Meenakshi Institute of Technology, VTU, Karnataka, Belgaum, 590018, India, Center for Nanomaterials and MEMS, Nitte Meenakshi Institute of Technology, Yelahanka, Bengaluru, 560064, India; Doreswamy B.H., Research Center, Department of Physics, SJB Institute of Technology, VTU, Karnataka, Belgaum, 560060, India</text>
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                <text>Fractional ReactionDiffusion Model: An Efficient Computational Technique for Nonlinear Time-Fractional Schnakenberg Model</text>
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              <elementText elementTextId="176008">
                <text>Homotopy analysis method; Laplace transform; LiouvilleCaputo derivative; Schnakenberg model</text>
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                <text>In this article, the q-homotopy analysis transform method (q-HATM) is committed to finding the solutions and analyzing the gathered results for the nonlinear fractional-order reactiondiffusion systems such as the fractional Schnakenberg model. These models are well known for the modelling of morphogen in developmental biology. The efficiency and reliability of the q-HATM, which is the proper mixture of Laplace transform and q-HAM, always keep it in a better position in comparison with many other analytical techniques. By choosing a precise value for the auxiliary parameter ?, one can modify the region of convergence of the series solution. In the current framework, the investigation of the Schnakenberg models is implemented with exciting results. The acquired results guarantee that the considered method is very satisfying and scrutinizes the complex nonlinear issues that arise in the arena of science and technology.  2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.</text>
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              <elementText elementTextId="176010">
                <text>Malagi N.S.; Prakasha D.G.; Veeresha P.; Prasannakumara B.C.</text>
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              <elementText elementTextId="176011">
                <text>Lecture Notes in Networks and Systems, Vol-415, pp. 427-454.</text>
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              <elementText elementTextId="176012">
                <text>Springer Science and Business Media Deutschland GmbH</text>
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                <text>&lt;a href="https://doi.org/10.1007/978-981-19-0179-9_26" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1007/978-981-19-0179-9_26&lt;/a&gt;
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            <elementTextContainer>
              <elementText elementTextId="176015">
                <text>Restricted Access</text>
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                <text>ISSN: 23673370; ISBN: 978-981190178-2</text>
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              <elementText elementTextId="176018">
                <text>English</text>
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                <text>Malagi N.S., Department of Studies in Mathematics, Davangere University, Davangere, Shivagangothri, 577007, India; Prakasha D.G., Department of Studies in Mathematics, Davangere University, Davangere, Shivagangothri, 577007, India; Veeresha P., Center for Mathematical Needs, Department of Mathematics, CHRIST (Deemed to Be University), Bengaluru-560029, India; Prasannakumara B.C., Department of Studies in Mathematics, Davangere University, Davangere, Shivagangothri, 577007, India</text>
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                <text>Integrated Health Care Delivery and Telemedicine: Existing Legal Impediments in India</text>
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              <elementText elementTextId="175994">
                <text>Consent; Digital healthcare; Medico-legal standards; Telemedicine</text>
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                <text>The technological innovation in the healthcare sector has contributed to the growth of telemedicine in India. Health services fall under State responsibility as per the Indian Constitution by virtue of Schedule 7although policy and planning framework are under the scope of Central government. Telemedicine cannot not work as an autonomous service, rather, ought to be subjected to different regulations having complex ethical, medico-legal manifestations. As far as India is concerned, Ministry of Health and Family Welfare of India (MoHFW) is the body responsible for initiating the policy of digitization of healthcare. However the point ishow far digital health services going appropriately in India. Based on NDHBs comprehensive architectural framework of Federated National Health Information System in January 2020 and as the pandemic strategy Medical Council of India and the NITI Aayog released new guidelines on telemedicine with respect to registered medical practitioners, this research needed to be checked. Thus, the examination was done in these aspects. Guidelines were revisited to see how the hospitals in Delhi and NOIDA function based on the records submitted in medical consultation given to patients using telemedicine. It is felt that telemedicine being a nebulous concept in India, it needs to be analyzed in the light of prospective opportunities it would offer. There is a need for collaborative approaches on digital health, revision in the prevailing legal and ethical frameworks, the clinical practices corresponding to standing medical guidelines. Also, it is found that there exist no uniform telemedicine practices balancing the privacy norms, medico-legal responsibility and regulatory standards. To arrive at conclusion, the best practices prevailed in other countries are examined and adopted. It is felt that the policies existing in telemedicine need to be bifurcated as digital consultation, digital photography, remote patient monitoring (RPM) separately.  2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.</text>
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                <text>Mathew M.</text>
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                <text>Lecture Notes in Networks and Systems, Vol-490, pp. 527-534.</text>
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                <text>ISSN: 23673370; ISBN: 978-981194051-4</text>
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                <text>Mathew M., Associate Professor, School of Law, Christ (Deemed to be University) Delhi N.C.R, Delhi, India</text>
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