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                <text>Integrated Automated Attendance System with RFID, Wi-Fi, and Visual Recognition Technology for Enhanced Classroom Security and Precise Monitoring</text>
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                <text>ESP-32 CAM; ESP8266 Wi-Fi module; IoT; PIR sensors; RFID tags; visual recognition</text>
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                <text>The integrated automated smart attendance system utilizes RFID, Wi-Fi, and visual recognition technologies to elevate classroom security and ensure precise monitoring of attendance records. It consolidates cutting-edge components such as RFID tags, ESP8266 Wi-Fi modules, ESP-32 CAM modules, solenoid locks, servo motors, and PIR sensors to devise a strong remedy. RFID technology enables accurate attendance tracking by assigning tags to students and faculty members. The Wi-Fi and visual recognition components enhance the system's functionalities, facilitating wireless connectivity, instantaneous data transfer, and validation of identities. Solenoid locks and servo motors ensure controlled access, responding to validated attendance records. PIR sensors detect motion, contrasting between genuine presence and proximity. The paper's methodology delineates the necessary hardware and software requirements, procedures for system initialization, testing phases, establishment of server connectivity, implementation of access control mechanisms, and formulation of end-of-session protocols. It highlights the successful integration and validation of hardware components, backend connectivity, identity confirmation, attendance recording, data encryption, and session termination procedures. The research aims to modernize attendance tracking in educational settings, improving efficiency, accuracy, and security while appreciating the need for further adaptation to suit diverse educational environments for broader adoption and sustained advancement.   2024 IEEE.</text>
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                <text>Thaleeparambil N.; Biju A.; Prathap B.</text>
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                <text>Thaleeparambil N., Christ (Deemed to be University), Department of Computer Science and Engineering, Bengaluru, India; Biju A., Christ (Deemed to be University), Department of Computer Science and Engineering, Bengaluru, India; Prathap B., Christ (Deemed to be University), Department of Computer Science and Engineering, Bengaluru, India</text>
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                <text>The ontological causation</text>
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                <text>Journal of Dharma, Vol-33, No. 1, pp. 33-56.</text>
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                <text>Thaliath B., Christ University, Banglore, India, Albert-Ludwigs-University, Freiburg i. Br., Germany, Institute for Philosophy, Humboldt University, Berlin, Germany</text>
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                <text>An iconic turn in philosophy</text>
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                <text>Thaliath B.</text>
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                <text>Journal of Dharma, Vol-34, No. 2, pp. 153-167.</text>
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                <text>2009-01-01</text>
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                <text>Thaliath B., Christ University, Bangalore, India</text>
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                <text>Identification of the Functional Limitation of Marine Loading or Unloading Arm; A Case Study</text>
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                <text>Emergency Release System (ERS); Marine Loading or Unloading Arm; QCDC (Quick Connect Disconnect system); sprayer</text>
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                <text>Marine loading or unloading arms are used to transfer product from tanker vessels that often carries products like petroleum or chemicals from or to the tankers. Cochin Port has dedicated Tanker jetties for handling petroleum with Marine Loading Arms installed for safe handling of cargo. However, my studies in Cochin Port Trust have shown that it has a potential threat to tackle while it is taken for the maintenance process. The case study aids in understanding of the working of marine unloading arm installed in the port and to identify the functional or safety limitations of the existing model installed. This case study also proves that a small change in the design can bring about a big change in the safety of the people working with the equipment. The identified parameters have been studied for providing the necessary alterations of the design which could be implemented on the upcoming project of constructing the marine unloading arm in Cochin Port Trust. To support faster and safety loading/unloading requirement these hydraulically operated marine loading arms are fitted with emergency release couplings and emergency release system. Marine Loading Arms are operated by using the hydraulic system. During maintenance procedure while checking the Emergency Release System (ERS) functionality, accidental release of Emergency release coupling can cause fatality. Hence a fool proof design is suggested with an extra locking arrangement. The studies conducted till now and the reviews conducted contributed in the analysis of the development and validation of the design. A design of a locking machanism for preventing the fatality is created and analysed for suggesting it to the industry so that it could be incorperated in the upcoming project of constructing the marine loading and unloading arm.  2023 American Institute of Physics Inc.. All rights reserved.</text>
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                <text>Thaliath P.B.; Umesh V.; Shivakumar S.; Sasidhar J.; Darshan S.M.; Sajeev V.A.; Prakash A.</text>
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                <text>AIP Conference Proceedings, Vol-2764, No. 1</text>
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                <text>American Institute of Physics Inc.</text>
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                <text>And Double CNN; Deep Learning; Face Detection; Mask Detection; Real-time Monitoring</text>
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                <text>The COVID-19 pandemic has necessitated the widespread use of masks, and in India, mask-wearing in public gatherings has become mandatory, with violators being fined. In densely populated nations like India, strict regulations must be established and enforced to mitigate the pandemics impact. Authorities and cameras conduct real-time monitoring of individuals leaving their homes, but 24/7 surveillance by humans is not feasible. A suggested approach to resolve this problem is to connect human intelligence and Artificial Intelligence (AI) by employing two Machine Learning (ML) models to recognize people who arent wearing masks in live-stream feeds from surveillance, street, and new IP mask recognition cameras. The effectiveness of this method has been demonstrated through its high accuracy compared to other algorithms. The first ML model uses the YOLO (You Only Look Once) model to recognize human faces in real-time video streams. The second ML model is a pre-trained classifier using 180,000 photos to categorize photos of humans into two groups: masked and unmasked. Double is a model that combines face recognition and mask classification into a single model. CNN provides a potential solution that may be utilized with image or video-capturing equipment such as CCTV cameras to monitor security breaches, encourage mask usage, and promote a secure workplace. This studys proposed mask detection technology utilized pre-trained datasets, face detection, and various classifiers to classify faces as having a proper mask, an improper mask, or no mask. The Double CNN-based model incorporated dual convolutional neural networks and a technology-based warning system to provide real-time facial identification detection. The ML model achieved high performance and accuracy of 98.15%, with the highest precision and recall, and can be used worldwide due to its cost-effectiveness. Overall, the proposed mask detection approach can potentially be a valuable instrument for preventing the spread of infectious diseases.  The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.</text>
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                <text>Thamarai Selvi R., Master of Computer Applications, Bishop Heber College, Tiruchirappalli, India; Arulkumar N., Christ University, Bangalore, India; Ramasamy G., Christ University, Bangalore, India</text>
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                <text>Artificial Intelligence (AI); Brand sentiment; Customer behavior analysis; Machine Learning (ML); Marketing strategies; Multichannel marketing; Personalization; Social media marketing; temporal dynamics</text>
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                <text>The study of client behaviour has been revolutionized by the combination of social media marketing with cutting-edge technology like Artificial Intelligence (AI) and Machine Learning (ML) in today's age of digital transformation. This study delves into the complex interplay between AI/ML, consumer involvement, and social media marketing methods. Our research exposes crucial insights via careful data collecting, sentiment analysis, and the construction of prediction models. By stressing the importance of catering content to individual interests, AI-driven customization emerges as a potent tool, increasing user engagement by 18%. Analysis of online sentiment shows how important it is to keep people feeling good about a business; postings with positive feelings get 30% more likes and comments on average. Accurate and time-saving insights from machine learning models provide up new avenues for optimizing marketing's use of available resources. As a result of the study's conclusions, companies will be able to better connect with their customers, use their resources more efficiently, and behave ethically moving forward. Promising new developments in the subject include the next steps, which include sophisticated AI models, temporal dynamics analysis, and investigation of long-term consequences, ethical issues, and multichannel techniques. This study helps companies, marketers, and policymakers better understand the convergence of technology and marketing in today's ever-changing digital world so that they may better serve their customers and build a successful brand over time.   2024 IEEE.</text>
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                <text>Proceedings of 9th International Conference on Science, Technology, Engineering and Mathematics: The Role of Emerging Technologies in Digital Transformation, ICONSTEM 2024</text>
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                <text>Thamaraiselvi P., Business School (MBA), Kumaraguru College of Technology, Tamilnadu, Coimbatore, India; Masih J., School of Management, Bml Munjal University, Haryana, Gurugram, India; Giri P., School of Business And Management, Christ (Deemed To Be University), Delhi NCR, India; Sridevi J., Dr. MG. R. Educational &amp;amp; Research Institute, Management Studies &amp;amp; Dean-Centre of Excellence, India; Karim Shaikh I.A., Faculty of Business, Bahrain Polytechnic, Bahrain; Prasad M.V.R., Gitam School of Business, Gitam (Deemed To Be University), Bangalore, Doddaballapur taluk, Bengaluru, Nagadenahalli, India</text>
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                <text>affect; hybrid features; multilayered binary structured SVM</text>
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                <text>Human affect recognition (HAR) using images of facial expression and electrocardiogram (ECG) signal plays an important role in predicting human intention. This system improves the performance of the system in applications like the security system, learning technologies and health care systems. The primary goal of our work is to recognize individual affect states automatically using the multilayered binary structured support vector machine (MBSVM), which efficiently classify the input into one of the four affect classes, relax, happy, sad and angry. The classification is performed efficiently by designing an efficient support vector machine (SVM) classifier in multilayer mode operation. The classifier is trained using the 8-fold cross-validation method, which improves the learning of the classifier, thus increasing its efficiency. The classification and recognition accuracy is enhanced and also overcomes the drawback of 'facial mimicry' by using hybrid features that are extracted from both facial images (visual elements) and physiological signal ECG (signal features). The reliability of the input database is improved by acquiring the face images and ECG signals experimentally and by inducing emotions through image stimuli. The performance of the affect recognition system is evaluated using the confusion matrix, obtaining the classification accuracy of 96.88%.  2020 The British Computer Society 2020. All rights reserved.</text>
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                <text>Thamba Meshach W.; Hemajothi S.; E A M.A.</text>
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                <text>Computer Journal, Vol-65, No. 4, pp. 897-917.</text>
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                <text>ISSN: 104620; CODEN: CMPJA</text>
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                <text>Thamba Meshach W., Department of Computer Science and Engineering, Prathyusha Engineering College, Aranvoyalkuppam, Thiruvallur District, Tamilnadu, Chennai, 602025, India; Hemajothi S., Department of Electronics and Communication Engineering, Prince Shri Venkateshwara Padmavathy Engineering College, Medavakkam-Mambakkam Road, Tamilnadu, Ponmar, Chennai, 600127, India; E A M.A., Department of Computer Science and Engineering, Christ University, Mysore Rd, Kumbalgodu, Karnataka, Bangalore, 560074, India</text>
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          <element elementId="50">
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            <elementTextContainer>
              <elementText elementTextId="138578">
                <text>Repercussions of global turbulence and market volatility in spot &amp;amp; futures market: India preparedness</text>
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                <text>CRADF; Emerging market; Garch; Price discovery; VECM; Volatility</text>
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                <text>This article examines the repercussions of global turbulence and market volatility in Indian Capital market for the period spanning from January 1, 2003 to August 31, 2013 with a total of 2654 observations and it is broken into pre-crisis and post-crisis respectively. The study employed Generalized Autoregressive Conditional Heteroskedasticity (1,1) model to measure the volatility persistence by employing dummy variables. Cointegrating Regression Augmented Dickey Fuller (CRADF) and Vector Error Correction Model (VECM) was employed to investigate the casual nexus between spot and futures market in both short and long run equilibrium. The squared residuals of VECM were applied to investigate the lead-lag relationship between the bivariate variables. Our findings indicate that there was a significant change in the post crisis period for spot and futures market volatility. Our result suggests that nothing can be learned and new regulation can only do more harm. Apart from this, nobody knows which financial instrument will be at the centre of the next crisis. Overall, the comprehensive financial sector reform like Credit Default Swap, Valuation Assumptions and Basel II Accord can create more problems and make the investors more complex to meet the global challenges environment. IJER  Serials Publications.</text>
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                <text>Thamilselvan R.; Srinivasan K.</text>
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              <elementText elementTextId="138582">
                <text>International Journal of Economic Research, Vol-11, No. 3, pp. 663-676.</text>
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                <text>&lt;a href="" target="_blank" rel="noreferrer noopener"&gt;&lt;/a&gt;
&lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-84927765215&amp;amp;partnerID=40&amp;amp;md5=943712ae590549d3d6f6eb36aae1edf0" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-84927765215&amp;amp;partnerID=40&amp;amp;md5=943712ae590549d3d6f6eb36aae1edf0&lt;/a&gt;</text>
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              <elementText elementTextId="138587">
                <text>ISSN: 9729380</text>
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            <name>Format</name>
            <description>The file format, physical medium, or dimensions of the resource</description>
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            <description>A language of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="138589">
                <text>English</text>
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          </element>
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                <text>Thamilselvan R., Department of Business Administration, Sathyabama University, Chennai, 600 101, India; Srinivasan K., Faculty of Management Studies, Christ University, Bangalore, Karnataka, 560 02, India</text>
              </elementText>
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          <element elementId="50">
            <name>Title</name>
            <description>A name given to the resource</description>
            <elementTextContainer>
              <elementText elementTextId="136723">
                <text>Partial slip and Joule heating on magnetohydrodynamic radiated flow of nanoliquid with dissipation and convective condition</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="49">
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            <description>The topic of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="136724">
                <text>Convective boundary condition; Magnetohydrodynamic; Nanofluid; Stretching surface; Viscous dissipation</text>
              </elementText>
            </elementTextContainer>
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            <description>An account of the resource</description>
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                <text>Numerical investigation of three-dimensional flow of an electrically conducting nanofluid over a bidirectional stretching surface is proposed here. The slip flow over a convectively stretching sheet is considered. The flow is caused due to a non-linear stretching surface and Lorenz force. Water and copper nanoparticles are used to form nanoliquid. Suitable transformations are employed to reduce the conservation equations into nonlinear coupled, multidegree ordinary differential equations. Resultant nonlinear two-point boundary value problem is numerically integrated using Runge-Kutta-Fehlberg fourth-fifth order method. Computed results are verified with existing results under limiting cases. The influences of pertinent parameters on different flow fields are evaluated and presented via graphical and tabular form. It is found that the thermal radiation and convective heating at boundary stabilizes the thermal boundary layer growth.  2017 The Authors</text>
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                <text>Thammanna G.T.; Gireesha B.J.; Mahanthesh B.</text>
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              <elementText elementTextId="136727">
                <text>Results in Physics, Vol-7, pp. 2728-2735.</text>
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            <description>An entity responsible for making the resource available</description>
            <elementTextContainer>
              <elementText elementTextId="136728">
                <text>Elsevier B.V.</text>
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            </elementTextContainer>
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            <name>Date</name>
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              <elementText elementTextId="136729">
                <text>2017-01-01</text>
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&lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85026736477&amp;amp;doi=10.1016%2Fj.rinp.2017.07.056&amp;amp;partnerID=40&amp;amp;md5=e581224046c16676173967a1bafc6216" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-85026736477&amp;amp;doi=10.1016%2fj.rinp.2017.07.056&amp;amp;partnerID=40&amp;amp;md5=e581224046c16676173967a1bafc6216&lt;/a&gt;</text>
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              <elementText elementTextId="136731">
                <text>All Open Access; Gold Open Access</text>
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                <text>ISSN: 22113797</text>
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              <elementText elementTextId="136734">
                <text>English</text>
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              <elementText elementTextId="136736">
                <text>Thammanna G.T., Department of Studies and Research in Mathematics, Kuvempu University, Shimoga, 577 451, India; Gireesha B.J., Department of Studies and Research in Mathematics, Kuvempu University, Shimoga, 577 451, India; Mahanthesh B., Department of Mathematics and Statistics, Christ University, Bangalore, 560029, India</text>
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                <text>Application of Spray Drying process to convert Beneficial Compounds extracted from Plants into free-flowing powder</text>
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                <text>The use of herbal tablets has been rapidly growing and significant research work is being carried out worldwide with the goal to reap the benefits of the many useful plants that are available with medicinal values. Many of these plants go largely underutilized either due to lack of information on not only just the medicinal properties but simple and effective extraction methodologies as well, without sacrificing the properties of the extracts. Once extracted, the concentrates also must be converted into a suitable form that can be loaded in a capsule etc., ready to be consumed. While there many process methodologies being used worldwide to extract the useful resources from the plant, focus also must be on the process methodology that is being practiced to convert the extract (liquid or semi solid) into a solid free flowing powder form. Thus, in an herbal tablet, there many factors concerned with the manufacturing. They are (i) Identifying the most suitable plant for a particular immunity boosting purpose (ii) extraction of the useful contents, mostly in a liquid or slurry form (iii) transform the extract into a user-friendly product such as powder and finally (iv) encapsulation of the powder for ease of human consumption. This paper brings in a review of the several useful plants available around us across the world. In addition, the paper also highlights the suitable experimental results of the usefulness of spray-drying technology, which is a highly versatile process methodology to transform the extracts into free-flowing powder.  Published under licence by IOP Publishing Ltd.</text>
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                <text>IOP Conference Series: Materials Science and Engineering, Vol-988, No. 1</text>
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                <text>All Open Access; Gold Open Access</text>
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                <text>ISSN: 17578981</text>
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                <text>Thampi A.S., Department of Mechanical and Automobile Engineering, CHRIST (Deemed to Be University), Bangalore, India; Kumar S.R., Department of Mechanical and Automobile Engineering, CHRIST (Deemed to Be University), Bangalore, India; Gowtham Sanjai S., Department of Mechanical and Automobile Engineering, CHRIST (Deemed to Be University), Bangalore, India; Ramaswamy P., Department of Mechanical and Automobile Engineering, CHRIST (Deemed to Be University), Bangalore, India</text>
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                <text>Operational pattern forecast improvement with outlier detection in metro rail transport system</text>
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            <description>The topic of the resource</description>
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              <elementText elementTextId="90814">
                <text>Forecast; Metro rail; Outliers detection; Passenger flow data; Station clustering</text>
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                <text>Transportation is an unavoidable part of every humans life. The mobility system handles the transport of humans from different places using various transport modes. According to a station in a populated area, the main problem is the presence of traffic in peak hours and wasting their valuable time on the road. The only medium which runs above the traffic is metro rails/subways. For these reasons, metro rails become a point of interest for each researchers prophecy and provide valuable recommendations for the smooth functioning of services. Even though, in many cases, the metro systems are affected by abnormal passenger flow. So, this study handles abnormal passenger flow detection and station clustering for the behavior study of a passenger flow system. The research compares outlier detection and anomaly identification for the behavioral analysis of the metro rail passenger flow. The study use data from Kochi Metro Rail Limited for the period 2017 to 2019. Outlier removal has used in passenger flow data before building a forecasting system. In pattern recognition algorithm those components which lie outside the patterns can be considered abnormal (anomaly).The outliers are the component falling apart from the region of interest. The effect of removing the outlier from the time-series pattern is studied against the outlier included pattern to show the improvement.  2023, The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.</text>
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                <text>Thandassery S.; Mulerikkal J.; Raghavendra S.</text>
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            <description>A related resource from which the described resource is derived</description>
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                <text>Multimedia Tools and Applications, Vol-83, No. 4, pp. 11229-11245.</text>
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            <description>An unambiguous reference to the resource within a given context</description>
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                <text>&lt;a href="https://doi.org/10.1007/s11042-023-15637-x" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1007/s11042-023-15637-x&lt;/a&gt;
&lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85163391238&amp;amp;doi=10.1007%2Fs11042-023-15637-x&amp;amp;partnerID=40&amp;amp;md5=85991fe9a0b4c10676250d4a9e4f0650" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-85163391238&amp;amp;doi=10.1007%2fs11042-023-15637-x&amp;amp;partnerID=40&amp;amp;md5=85991fe9a0b4c10676250d4a9e4f0650&lt;/a&gt;</text>
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            <name>Rights</name>
            <description>Information about rights held in and over the resource</description>
            <elementTextContainer>
              <elementText elementTextId="90821">
                <text>Restricted Access</text>
              </elementText>
            </elementTextContainer>
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            <description>A related resource</description>
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              <elementText elementTextId="90822">
                <text>ISSN: 13807501; CODEN: MTAPF</text>
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            <name>Format</name>
            <description>The file format, physical medium, or dimensions of the resource</description>
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              <elementText elementTextId="90823">
                <text>Online</text>
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            <description>A language of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="90824">
                <text>English</text>
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            </elementTextContainer>
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            <description>The nature or genre of the resource</description>
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              <elementText elementTextId="90825">
                <text>Article</text>
              </elementText>
            </elementTextContainer>
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            <description>The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant</description>
            <elementTextContainer>
              <elementText elementTextId="90826">
                <text>Thandassery S., Department of Computer Science and Engineering, Christ (Deemed to be University), Karnataka, Bengaluru, India, Department of Computer Science and Engineering, Rajagiri School of Engineering and Technology, Kochi, India; Mulerikkal J., Department of Information Technology, Rajagiri School of Engineering and Technology, Kochi, India; Raghavendra S., Department of Computer Science and Engineering, Christ (Deemed to be University), Karnataka, Bengaluru, India</text>
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          <name>Dublin Core</name>
          <description>The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.</description>
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              <name>Title</name>
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              <elementTextContainer>
                <elementText elementTextId="64">
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      <name>Article</name>
      <description>Faculty Publications -Articles</description>
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          <element elementId="50">
            <name>Title</name>
            <description>A name given to the resource</description>
            <elementTextContainer>
              <elementText elementTextId="107046">
                <text>Phyllanthus Emblica Extract Protects the Rat Liver Cells Against the Toxicity of Monosodium Glutamate: Experimental Evidence</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="107047">
                <text>Antioxidants; Monosodium glutamate; Oxidative stress; Phyllanthus emblica; Vitamin C; Vitamin E</text>
              </elementText>
            </elementTextContainer>
          </element>
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            <name>Description</name>
            <description>An account of the resource</description>
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                <text>Background: Monosodium glutamate (MSG), used widely in the food industry, is a threat to the public health. We investigated whether the MSG administration depletes non-enzymatic antioxidants, i.e., vitamins C and E in the liver of Wistar albino rats. We also examined the restorative effect of the ethanolic extract of Phyllanthus emblica (P. emblica). Methods: Wistar albino rats (n=42) were adapted and then randomly divided into seven groups of: 1) control, 2, 3, 4) MSG treatment, and 5, 6, 7) combined MSG and P. emblica extract treatment. All rat groups were treated daily for 120 days. They were orally administered either MSG alone or MSG plus the extract combined. The rats were then sacrificed and the liver was harvested from each group, and homogenized to examine the levels of vitamins C and E in the liver, using RP-HPLC method. Results: The vitamins C and E levels significantly declined (P&amp;lt;0.05) in the liver of MSG treated groups compared to those of the control rats. The combined treatment (extract + MSG) at low and moderate doses restored the vitamin C levels but it restored vitamin E only at the low dose (P&amp;lt;0.05). Conclusions: This study clearly demonstrated the deterioration of non-enzymatic antioxidants, i.e., vitamins C and E in the rats' liver after chronic exposure to MSG. The findings support the toxic effect and oxidative stress due to MSG exposure to the liver and the beneficial effect of the extract of P. emblica that inhibits the MSG's harmful effect on the liver.  The Author(s), 2022.</text>
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              <elementText elementTextId="107049">
                <text>Thangachi S.B.; Mokhasi V.S.; Sathyamoorthy Y.K.; Pinnelli V.B.K.; Chiruthanur S.</text>
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              <elementText elementTextId="107050">
                <text>Iranian Journal of Toxicology, Vol-16, No. 3</text>
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            <description>An entity responsible for making the resource available</description>
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                <text>Arak University of Medical Sciences</text>
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                <text>&lt;a href="https://doi.org/10.32598/IJT.16.3.923.1" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.32598/IJT.16.3.923.1&lt;/a&gt;
&lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85133018365&amp;amp;doi=10.32598%2FIJT.16.3.923.1&amp;amp;partnerID=40&amp;amp;md5=5576424f77523903e2f902c41a0bcd73" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-85133018365&amp;amp;doi=10.32598%2fIJT.16.3.923.1&amp;amp;partnerID=40&amp;amp;md5=5576424f77523903e2f902c41a0bcd73&lt;/a&gt;</text>
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              <elementText elementTextId="107054">
                <text>All Open Access; Gold Open Access</text>
              </elementText>
            </elementTextContainer>
          </element>
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                <text>ISSN: 20082967</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="42">
            <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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              <elementText elementTextId="107057">
                <text>English</text>
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            <description>The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant</description>
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              <elementText elementTextId="107059">
                <text>Thangachi S.B., Department of Anatomy, Faculty of Medicine, Vydehi Institute of Medical Sciences and Research Centre, Karnataka, Bengaluru, India; Mokhasi V.S., Department of Anatomy, Faculty of Medicine, Vydehi Institute of Medical Sciences and Research Centre, Karnataka, Bengaluru, India; Sathyamoorthy Y.K., Department of Psychology, Faculty of Social Sciences, CHRIST, Deemed to be University, Karnataka, Bengaluru, India; Pinnelli V.B.K., Department of Biochemistry, Faculty of Medicine, Vydehi Institute of Medical Sciences and Research Centre, Karnataka, Bengaluru, India; Chiruthanur S., Department of Anatomy, Faculty of Medicine, Vydehi Institute of Medical Sciences and Research Centre, Karnataka, Bengaluru, India</text>
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                  <text>Book Chapter</text>
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                <text>Impact of data centers on power consumption, climate change, and sustainability</text>
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                <text>The data-driven economy is transforming with data centers becoming a crucial business infrastructure. However, the increasing reliance on data centers is posing a threat to the environment. Climate change activists are focusing on reducing emissions from sectors like automotive, aviation, and energy. Data centers consume more electricity than the UK, accounting for 3% of global electricity supply and 2% of total greenhouse gas emissions. By 2040, digital data storage is projected to contribute to 14% of the world's emissions. The number of data centers worldwide has surged from 500,000 in 2012 to over 8 million, with energy consumption doubling every four years. The rise in internet penetration rates and the introduction of 5G technologies and IoT devices will further exacerbate the issue, increasing the demand for data processing.  2024, IGI Global.</text>
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                <text>Computational Intelligence for Green Cloud Computing and Digital Waste Management, pp. 60-83.</text>
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                <text>&lt;a href="https://doi.org/10.4018/979-8-3693-1552-1.ch004" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.4018/979-8-3693-1552-1.ch004&lt;/a&gt;
&lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85189569145&amp;amp;doi=10.4018%2F979-8-3693-1552-1.ch004&amp;amp;partnerID=40&amp;amp;md5=6bd52249090496522697b14d4c21ff0d" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-85189569145&amp;amp;doi=10.4018%2f979-8-3693-1552-1.ch004&amp;amp;partnerID=40&amp;amp;md5=6bd52249090496522697b14d4c21ff0d&lt;/a&gt;</text>
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            <description>Information about rights held in and over the resource</description>
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                <text>ISBN: 979-836931553-8; 979-836931552-1</text>
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                <text>Thangam D., Presidency Business School, Presidency College, Bengaluru, India; Muniraju H., Triveni Institute of Commerce and Management, Bengaluru, India; Ramesh R., Department of Management Studies, Knowledge Institute of Technology, Salem, India; Narasimhaiah R., Department of Economics, Jain University, Bengaluru, India; Ahamed Khan N.M., Department of Management, Acharya Institute of Graduate Studies, Bengaluru, India; Booshan S., ISBR College, India; Booshan B., Department of Management, Acharya Institute of Graduate Studies, Bengaluru, India; Manickam T., Christ University, India; Ganesh R.S., Vel Tech Rangarajan Dr. Sagunthala R and D Institute of Science and Technology, India</text>
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          <element elementId="50">
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            <elementTextContainer>
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                <text>GalNAc-siRNA conjugates: Prospective tools on the frontier of anti-viral therapeutics</text>
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            <name>Subject</name>
            <description>The topic of the resource</description>
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              <elementText elementTextId="197361">
                <text>GalNac conjugate; Hepatitis B; Hepatocytes; SiRNA; Virus</text>
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            </elementTextContainer>
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            <description>An account of the resource</description>
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                <text>The growing use of short-interfering RNA (siRNA)-based therapeutics for viral diseases reflects the most recent innovations in anti-viral vaccines and drugs. These drugs play crucial roles in the fight against many hitherto incurable diseases, the causes, pathophysiologies, and molecular processes of which remain unknown. Targeted liver drug delivery systems are in clinical trials. The receptor-mediated endocytosis approach involving the abundant asialoglycoprotein receptors (ASGPRs) on the surfaces of liver cells show great promise. We here review N-acetylgalactosamine (GalNAc)-siRNA conjugates that treat viral diseases such as hepatitis B infection, but we also mention that novel, native conjugate-based, targeted siRNA anti-viral drugs may also cure several life-threatening diseases such as hemorrhagic cystitis, multifocal leukoencephalopathy, and severe acute respiratory syndrome caused by coronaviruses and human herpes virus.  2021 Elsevier Ltd</text>
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            <description>An entity primarily responsible for making the resource</description>
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              <elementText elementTextId="197363">
                <text>Thangamani L.; Balasubramanian B.; Easwaran M.; Natarajan J.; Pushparaj K.; Meyyazhagan A.; Piramanayagam S.</text>
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                <text>Pharmacological Research, Vol-173</text>
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            <description>An entity responsible for making the resource available</description>
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              <elementText elementTextId="197365">
                <text>Academic Press</text>
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              <elementText elementTextId="197366">
                <text>2021-01-01</text>
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                <text>&lt;a href="https://doi.org/10.1016/j.phrs.2021.105864" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1016/j.phrs.2021.105864&lt;/a&gt;
&lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85114692125&amp;amp;doi=10.1016%2Fj.phrs.2021.105864&amp;amp;partnerID=40&amp;amp;md5=018e550bd85fe60324a2a8024e78d290" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-85114692125&amp;amp;doi=10.1016%2fj.phrs.2021.105864&amp;amp;partnerID=40&amp;amp;md5=018e550bd85fe60324a2a8024e78d290&lt;/a&gt;</text>
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          <element elementId="47">
            <name>Rights</name>
            <description>Information about rights held in and over the resource</description>
            <elementTextContainer>
              <elementText elementTextId="197368">
                <text>All Open Access; Green Open Access</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="46">
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            <description>A related resource</description>
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              <elementText elementTextId="197369">
                <text>ISSN: 10436618; PubMed ID: 34474100; CODEN: PHMRE</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="42">
            <name>Format</name>
            <description>The file format, physical medium, or dimensions of the resource</description>
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              <elementText elementTextId="197370">
                <text>Online</text>
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            <description>A language of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="197371">
                <text>English</text>
              </elementText>
            </elementTextContainer>
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            <elementTextContainer>
              <elementText elementTextId="197373">
                <text>Thangamani L., Computational Biology Lab, Department of Bioinformatics, Bharathiar University, Coimbatore, 641046, Tamil Nadu, India; Balasubramanian B., Department of Food Science and Biotechnology, College of Life Science, Sejong University, Seoul, 05006, South Korea; Easwaran M., International Centre for Genetic Engineering and Biotechnology, 110067, New Delhi, India; Natarajan J., Data Mining and Text Mining Laboratory, Department of Bioinformatics, Bharathiar University, Coimbatore, 641046, Tamil Nadu, India; Pushparaj K., Department of Zoology, School of Biosciences, Avinashilingam Institute for Home Science and Higher Education for Women, Coimbatore, 641043, Tamil Nadu, India; Meyyazhagan A., Department of Life Sciences, CHRIST (Deemed to be University), Bengaluru, 560029, Karnataka, India; Piramanayagam S., Computational Biology Lab, Department of Bioinformatics, Bharathiar University, Coimbatore, 641046, Tamil Nadu, India</text>
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  <item itemId="18138" public="1" featured="0">
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          <name>Dublin Core</name>
          <description>The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.</description>
          <elementContainer>
            <element elementId="50">
              <name>Title</name>
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                <elementText elementTextId="44496">
                  <text>Book Chapter</text>
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          </elementContainer>
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      <name>Book Chapter</name>
      <description>Faculty Publications- Book Chapter</description>
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    <elementSetContainer>
      <elementSet elementSetId="1">
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        <description>The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.</description>
        <elementContainer>
          <element elementId="50">
            <name>Title</name>
            <description>A name given to the resource</description>
            <elementTextContainer>
              <elementText elementTextId="149937">
                <text>A Novel Hybrid Model for Time Series Forecasting Using Artificial Neural Network and Autoregressive Integrated Moving Average Models</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="149938">
                <text>ANN; ARIMA; Combination of forecasts; Hybrid model</text>
              </elementText>
            </elementTextContainer>
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            <description>An account of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="149939">
                <text>Enhancing forecast accuracy while using time series is a potential area of research. Evidences exist in the literature to show that hybrid models can significantly improve the forecasting performance, as they combine the exclusive strengths of different models. This paper presents a novel hybrid model by combining forecasts from Autoregressive Integrated Moving Average (ARIMA) and artificial neural network (ANN) models with suitable weights, thereby improving the forecast accuracy. The methodology employs appropriate error metrics to construct the weights. The paper further demonstrates the efficiency of the proposed methodology through an empirical study, based on two real-world time series data sets. Thus, the new methodology can be used for enhancing the forecast accuracy in a number of fields of research.  The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.</text>
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          </element>
          <element elementId="39">
            <name>Creator</name>
            <description>An entity primarily responsible for making the resource</description>
            <elementTextContainer>
              <elementText elementTextId="149940">
                <text>Thangarajan B.; Nagaraja M.S.; Dhandra B.V.</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="48">
            <name>Source</name>
            <description>A related resource from which the described resource is derived</description>
            <elementTextContainer>
              <elementText elementTextId="149941">
                <text>Trends in Mathematics, Vol-Part F2357, pp. 747-754.</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="45">
            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
            <elementTextContainer>
              <elementText elementTextId="149942">
                <text>Springer Science and Business Media Deutschland GmbH</text>
              </elementText>
            </elementTextContainer>
          </element>
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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>
            <elementTextContainer>
              <elementText elementTextId="149943">
                <text>2024-01-01</text>
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            <description>An unambiguous reference to the resource within a given context</description>
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              <elementText elementTextId="149944">
                <text>&lt;a href="https://doi.org/10.1007/978-3-031-41420-6_62" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1007/978-3-031-41420-6_62&lt;/a&gt;
&lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85187153896&amp;amp;doi=10.1007%2F978-3-031-41420-6_62&amp;amp;partnerID=40&amp;amp;md5=8ed69f11c542e6af6dc105eb462037df" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-85187153896&amp;amp;doi=10.1007%2f978-3-031-41420-6_62&amp;amp;partnerID=40&amp;amp;md5=8ed69f11c542e6af6dc105eb462037df&lt;/a&gt;</text>
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          <element elementId="47">
            <name>Rights</name>
            <description>Information about rights held in and over the resource</description>
            <elementTextContainer>
              <elementText elementTextId="149945">
                <text>Restricted Access</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="46">
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            <description>A related resource</description>
            <elementTextContainer>
              <elementText elementTextId="149946">
                <text>ISSN: 22970215</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="42">
            <name>Format</name>
            <description>The file format, physical medium, or dimensions of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="149947">
                <text>Online</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="44">
            <name>Language</name>
            <description>A language of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="149948">
                <text>English</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="51">
            <name>Type</name>
            <description>The nature or genre of the resource</description>
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              <elementText elementTextId="149949">
                <text>Book chapter</text>
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            </elementTextContainer>
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            <description>The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant</description>
            <elementTextContainer>
              <elementText elementTextId="149950">
                <text>Thangarajan B., CHRIST (Deemed to be University), Bengaluru, India; Nagaraja M.S., CHRIST (Deemed to be University), Bengaluru, India; Dhandra B.V., CHRIST (Deemed to be University), Bengaluru, India</text>
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          </element>
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  <item itemId="18139" public="1" featured="0">
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          <description>The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.</description>
          <elementContainer>
            <element elementId="50">
              <name>Title</name>
              <description>A name given to the resource</description>
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                <elementText elementTextId="44496">
                  <text>Book Chapter</text>
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      <name>Book Chapter</name>
      <description>Faculty Publications- Book Chapter</description>
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    <elementSetContainer>
      <elementSet elementSetId="1">
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        <description>The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.</description>
        <elementContainer>
          <element elementId="50">
            <name>Title</name>
            <description>A name given to the resource</description>
            <elementTextContainer>
              <elementText elementTextId="149951">
                <text>Exploring ARIMA Models with Interacted Lagged Variables for Forecasting</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="149952">
                <text>Autoregressive Integrated Moving Average model; Interactions among lagged variables</text>
              </elementText>
            </elementTextContainer>
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            <description>An account of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="149953">
                <text>Including interactions among the explanatory variables in regression models is a common phenomenon. However, including interactions existing among lagged variables in autoregressive models has not been explored so far. In this paper, Autoregressive Integrated Moving Average (ARIMA) model with interactions among the lagged variables is proposed for improving forecast accuracy. The methodology for identifying the interacted lagged variables and including them in the ARIMA model is suggested. Using five different data sets of different types, the paper explores the effect of interacted lagged variables in ARIMA model. The experimental results exhibit that when interactions do actually exist, ARIMA model with interactions improves the forecast accuracy as compared to ARIMA model without interactions.  The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.</text>
              </elementText>
            </elementTextContainer>
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          <element elementId="39">
            <name>Creator</name>
            <description>An entity primarily responsible for making the resource</description>
            <elementTextContainer>
              <elementText elementTextId="149954">
                <text>Thangarajan B.; Nagaraja M.S.; Dhandra B.V.</text>
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            </elementTextContainer>
          </element>
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            <name>Source</name>
            <description>A related resource from which the described resource is derived</description>
            <elementTextContainer>
              <elementText elementTextId="149955">
                <text>Trends in Mathematics, Vol-Part F2357, pp. 735-745.</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="45">
            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
            <elementTextContainer>
              <elementText elementTextId="149956">
                <text>Springer Science and Business Media Deutschland GmbH</text>
              </elementText>
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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>
            <elementTextContainer>
              <elementText elementTextId="149957">
                <text>2024-01-01</text>
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            </elementTextContainer>
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            <description>An unambiguous reference to the resource within a given context</description>
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                <text>Mobile and internet banking have introduced a new way of monetary transactions without the need for physical presence. This research proposes to analyze the sentiments of people regarding digital transactions, mobile, and internet banking. The explosion of internet usage and the huge funding initiatives in electronic banking have drawn the attention of researchers towards internet and mobile banking. This study focuses on customer value perceptions of the internet and mobile banking in India. The recent and forecasted Digital India scheme shows high growth in e-banking in India. The demographic, attitudinal, and behavioral characteristics of mobile bank users were examined. In this study, datasets obtained from Twitter were used. After extensive and repeated analysis, it is found that both mobile and internet banking are well received; the number of positive tweets, especially regarding mobile banking, is much higher than that of internet banking. This leads to the interpretation that people find mobile banking easier and safer, especially during the ongoing COVID-19 pandemic.  2022 Information Resources Management Association. All rights reserved.</text>
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                <text>Thangavel C., Department of Applied Mathematics and Computational Science, Thiagarajar College of Engineering, India; Thangavel R., Independent Researcher, India; Ramanujam E., Department of Computer Science and Engineering, School of Engineering and Technology, Christ University (Deemed), Bengaluru, India; Bennet D.T., Thiagarajar College of Engineering, India; Bennet P.S., Thiagarajar College of Engineering, India</text>
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