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                <text>Sahu S.K., Larsen &amp;amp; Toubro Infotech Limited, Karnataka, Bengaluru, India; Muloor K., Larsen &amp;amp; Toubro Infotech Limited, Karnataka, Bengaluru, India, CHRIST Deemed to be University, Karnataka, Bengaluru, India; Samanta D., CHRIST Deemed to be University, Karnataka, Bengaluru, India, Department of Computing and Information Technologies, RIT Kosovo (A.U.K), Rochester Institute of Technology, RIT Global Campus, Prishtina, Kosovo, 10000; Rajaram P., Department of Computing and Information Technologies, RIT Kosovo (A.U.K), Rochester Institute of Technology, RIT Global Campus, Prishtina, Kosovo, 10000; Sengar S.S., Department of Computer Science, Cardiff Metropolitan University, Cardiff, CF5 2YB, United Kingdom</text>
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                <text>Upreti K., Department of Computer Science, Christ University, Uttar Pradesh, Ghaziabad, India; Kumari P., Department of Psychology and Mental Health, Gautam Buddha University, Uttar Pradesh, Greater Noida, India; Shankar U., Ramcharan School of Leadership, Dr. Vishwanath Karad MIT World Peace University, Maharashtra, Pune, India; Radhakrishnan G., KIIT, Kalinga School of Management, Odisha, Bhubaneswar, India; Udhaya S.K., Department of Computer Science and Engineering, Easwari Engineering College, Tamil Nadu, Chennai, India; Malik K., School of Law, Christ University, Delhi NCR, India</text>
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                <text>HumanComputer Interaction (HCI) has revolutionized the way humans engage with technology, shaping cognitive, emotional, and learning experiences. This chapter explores HCI's impact on well-being, focusing on cognitive load reduction, emotional stability, and adaptive learning. HCI technologies such as AI-driven decision support, emotion-aware systems, and personalized education platforms enhance user engagement by fostering efficiency and well-being. Cognitive well-being benefits from AI-powered cognitive tools that improve memory, decision-making, and mental agility. Emotional well-being is facilitated by affect-sensitive systems, digital therapeutics, and social HCI that reduce stress and increase emotional engagement. Adaptive learning systems, gamification, and assistive technologies also ensure inclusive education by making learning more personalized and accessible to special needs students. Future HCI trends involve neuroadaptive interfaces, wearable-integrated health technology, and AI-based mental health solutions that all improve personalization and user experience. Yet ethical issues, such as data privacy, digital addiction, and algorithmic biases, need to be addressed in order to maintain responsible technology utilization. Achieving balance between digital and physical interactions is important in the preservation of general well-being. The future of HCI, where it becomes empathetic, adaptive, and ethical interfaces, is a future that sees technology enhance not just efficiency but cognitive, emotional, and learning well-being. By making ethical AI design and user-centric experiences a priority, HCI will continue to unleash human potential and develop durable, well-being-oriented technological solutions.  2026 Elsevier Inc. All rights reserved.</text>
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                <text>Artificial Intelligence, the name itself depicts the meaning that providing the knowledge of human to the machine artificially. AI is not a sense or feeling but the software or a model evolved to do complex tasks like human beings. With the invention of computer it has become so easy to do day to day jobs without much effort. HCI is all about interacting with computers. Now-a days it is possible to mesh with the computer through voice, touch, eye movement, and hand gestures. HCI has many challenges but has established in grand manner with the support of Artificial Intelligence. This study provides some important roles of Artificial Intelligence in HCI and its future development.  2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.</text>
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                <text>Muthumari S., S. S. Duraisamy Nadar Mariammal College, Tamil Nadu, Kovilpatti, India; Sangeetha G., Arulmigu Subramania Swamy Arts and Science College, Tamil Nadu, Vilathikulam, India; Venkata Lakshmi S., K.L.N College of Engineering, Madurai, India; Suganthi J., School of Sciences, Christ (Deemed to be) University, Bengaluru, India</text>
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                <text>Literature from the North-East has responded to national, global and local issues, including questions on immigration and ethnic violence. They have resisted the colonial framework of representation and have invoked a sense of cultural and ethnic particularity (Sarma, 2013). This literature has adopted a multilingual register to respond to 1) patriarchal and 2) ethnonationalist discourses that have a forced and overbearing presence in the everyday lives of people and their stories. These writings evoke an ethno-critical approach that engages otherness and difference in such a way as to provoke an interrogation of and a challenge to our familiar realms of experience and is consistent with a recognition and legitimation of heterogeneity (Sarma, 2013). Select stories from First Hand (Volume II, 2018) - The Lonely Courtyard (2018), My Name is Jahanara (2018), and A Market Story (2019) by Kumdo Yumnam provide the heterogeneity that is characteristic of the works of literature emerging from the North-East, thereby resisting the homogeneity often indicative of the term 'North-East'. The analysis will explore how the selected texts negotiate textuality and visuality in a specific manner to present an archive of everyday life that humanises history.  2022 Aesthetics Media Services. All rights reserved.</text>
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                <text>Das R.; Abhaya N.B.</text>
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                <text>Muttungal, Peter V.; George, Jossy P.; Davidson, Benny Godwin J.</text>
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                <text>Muttungal P.V., Christ University, Karnataka, Bangalore, India; George J.P., Christ University, Karnataka, Bangalore, India; Davidson B.G.J., University of the Fraser Valley, British Columbia, Abbotsford, Canada</text>
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                <text>Industry 5.0 (I5.0) saw a paradigm shift from a human-centric automation approach that focused on well-being, sustainability, and resilience. The transformation further elevates the process of personalization in various industries. We focus on the progression of personalization from a traditional rule-based system to advanced technologies. The technological revolution in I5.0 has transformed how we view personalization. The integration of technologies like the Internet of Things (IoT), artificial intelligence (AI), and digital twin technology is allowing businesses to create highly tailored products. This includes personalized recommendations, targeted marketing campaigns, and immersive experiences in the metaverse. The chapter further analyzes various techniques and models in personalization, like collaborative filtering, content-based filtering, and hybrid approaches. Technological advancements also bring many challenges. Concerns like data privacy, hesitancy to share personal information, and irrelevant personalization can impact the content of personalization. The ethical implications of AI personalization, like potential biases and discriminatory outcomes, require careful attention. It is important to balance the benefits of personalization with individuals privacy rights and equitable access to personalized services.  2026 Aarti Saini and Vikas Garg.</text>
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                <text>This investigation underscores the importance of humanizing technology within the healthcare sector, with a specific focus on the significant role of emotional intelligence in shaping the interactions between patients and healthcare providers, particularly in the context of advancing healthcare technology. By integrating empathy into medical interfaces and devices, the user experience is fundamentally grounded in human aspects. The study delves into firsthand experiences of patients using emotionally intelligent healthcare solutions that not only meet their medical needs but also address the emotional complexities of illness and recovery. The integration of emotional sensitivity in medical technology strives to enhance patient comfort and foster more open and communicative relationships between healthcare providers and recipients. Moreover, the research presents a framework for emotional intelligence in healthcare technology, encompassing elements such as emotional recognition, response, and management. This framework is designed to promote a culture of patient understanding and support, enabling healthcare technology to adapt to the emotional requirements of patients. In the ever-evolving healthcare landscape,it is essential to recognize the profound impact of embedding empathy in medical technology, ultimately shaping a more empathetic future for healthcare interactions.  2024 by IGI Global.</text>
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                <text>Varghese N., Department of English and Cultural Studies, Christ University, Bengaluru, India</text>
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                <text>The troubled humanwildlife relationship in the highlands of Kerala is a matter of growing concern due to the constant disruption of the lives and livelihoods of the people who share space with wildlife. Debates surrounding the complexities of humanwildlife conflict often persist, largely due to the divide between the environmentalist perception of conservation and the experiences of farmers confronting wildlife-related threats. This study demonstrates that the precarious social and economic circumstances of the farmers and local communities directly affected by the inter-species conflict undermine the skewed discourse promoting coexistence between humans and wildlife.  2025, Economic and Political Weekly. All rights reserved.</text>
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                <text>Humour is a universal phenomenon that offers several physiological and psychological benefits across cultures. The objectives of this study were to examine the relationships between daily hassles, humour and well-being; and to investigate the moderating effect of humour on the relationship between hassles and well-being. A correlational design was adopted to collect data from 644 participants (men = 300, women = 344), aged between 18 and 58years using purposive and snowballing sampling techniques. The Daily Hassles Scale, Sense of Humour Questionnaire (SHQ-R) and the Personal Well-Being IndexAdult (PWI-A) were administered to the sample. The self-report measures were appropriately scored and the collective data were analyzed. Statistical analyses revealed a positive relationship between sense of humour and well-being. A negative relationship was observed between sense of humour and hassles; and between well-being and hassles. Further, sense of humour was found to be moderating the relationship between daily hassles and well-being. This study highlights the role of humour in softening the impact of hassles on the well-being of the Indian population. This strengthens the construct of humour in the context of positive psychology.  The Author(s) under exclusive licence to National Academy of Psychology (NAOP) India 2024.</text>
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                <text>Psychological Studies, Vol-69, No. 3, pp. 286-295.</text>
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                <text>Padhy M., Centre for Health Psychology, University of Hyderabad, Prof. C.R. Rao Road, Gachibowli, P.O., Telangana, Hyderabad, 500046, India; Hariharan M., Centre for Health Psychology, University of Hyderabad, Prof. C.R. Rao Road, Gachibowli, P.O., Telangana, Hyderabad, 500046, India; Mukherjee O., CHRIST (Deemed to Be University), Delhi NCR, Uttar Pradesh, Ghaziabad, 201003, India; Mutnury S.L., NatFirst Private Limited, Ground Floor, Telangana, Moosapet, Hyderabad, 500018, India</text>
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                <text>Humour as a moderator of stress and defence based coping mechanisms among the youth of Kerala, India</text>
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                <text>Adaptive humour; Defence based coping mechanisms; India; Kerala; Maladaptive humour stress; Youth</text>
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                <text>The goal of this study was to examine the effect of the moderators of adaptive and maladaptive humour on stress and on the four levels of defence based coping mechanism amongst the youth of Kerala, India. Four hundred and fifty-three youth between the age of 18 and 40, selected from two different cities of North Kerala, India (Calicut, Malappuram) and Central Kerala, India (Cochin, Trissur), were asked to fill out three questionnaires assessing stress, coping and humour. Pearson's test of product-moment correlation indicated that stress had a positive and moderate statistically significant correlation with the first three levels of defence based coping mechanism (pathological defences, immature defences and neurotic defences). Furthermore, there was a positive and weak statistically significant correlation between stress and level-IV coping (mature defences). When positive and moderate correlation was found for stress with maladaptive humour, no significant correlation was found with adaptive humour. When coping was studied in relationship with humour, a negative and weak statistically significant correlation was found for level-I coping (pathological defences) with adaptive humour, whereas a positive and moderate statistically significant correlation was found with maladaptive humour. Here level-IV coping (mature defences) was found to have a positive and moderate statistically significant relationship with adaptive and maladaptive humour. Moderator analysis showed that maladaptive humour moderated the association between stress and four levels of defence based coping mechanism. The study implied that youth should be trained to use more of mature means of coping and adaptive humour styles in life.  Universiti Putra Malaysia Press</text>
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                <text>George R.; Baby Shari P.A.</text>
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                <text>Pertanika Journal of Social Sciences and Humanities, Vol-28, No. 4, pp. 2547-2565.</text>
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                <text>Universiti Putra Malaysia</text>
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                <text>All Open Access; Hybrid Gold Open Access</text>
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                <text>ISSN: 1287702</text>
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                <text>George R., Centre for Advanced Research and Training [CART], CHRIST (Deemed to be University), Bangalore, Karnataka, 560029, India; Baby Shari P.A., Department of Psychology, University of Calicut, Kerala, 673635, India</text>
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                <text>Humour as a tool for brand recall. Understanding the concept through five star advertisements /</text>
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                <text>Rajan, Raveena. - 1424044</text>
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                <text>Master of Arts in Media and Communication Studies</text>
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                <text>Media Studies</text>
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                <text>Advertisements are considered as one of the effective tool of promoting a service or product. Though it has high impact on people it uses different appeals to attract the viewers. One of the effective appeals used by advertisers is humour. Humour has been used widely in advertisements since years. Everyone likes humour and the concept behind using humour in advertisements is clearly based on the people’s psychology. The researcher tries to find out whether humour is used as a tool for brand recall or not by using different qualitative and quantitative methods.</text>
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                <text>CHRIST (Deemed To Be University)</text>
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                <text>Department of Media Studies</text>
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                <text>Hunter Prey Optimization for Optimal Allocation of Photovoltaic Units in Radial Distribution System for Real Power Loss and Voltage Stability Optimization</text>
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          <element elementId="49">
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            <description>The topic of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="175868">
                <text>Active power loss minimization; Distribution generation; Hunter-prey optimization; Radial distribution system; Voltage stability</text>
              </elementText>
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                <text>Renewable Energy (RE) based Distribution Generation (DG), is a widely accepted eco-friendly alternative to conventional energy production. On the basic note, a DG is used to provide a part of or all of a customers real power demand and/or as a standby supply, and of all various existing types of DG technologies, Photovoltaic (PV) type distribution generation is considered for the study. The location of distributed generation is defined as the installation and operation of electric power generation modules connected directly to the distribution network or the network on the customer side of the meter, hence signifying the optimal location and size of the DGs used. This paper proposes a new algorithm of Hunter-Prey Optimization (HPO) to determine the optimal allocation of PV integration in the radial distribution systems (RDS). HPO is a new population-based algorithm inspired by the hunting behavior of a carnivore. The optimal sizing and siting of the PVs are determined by the proposed algorithm of HPO and are tested in MATLABR2021b on standard IEEE-33 and 69 test bus systems. On the basic of comparative study with literature, HPO is performed efficiently for solving multi-variable complex optimization problem. Also, the performance of RDSs is significantly improved with optimal PV allocations.  2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.</text>
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              <elementText elementTextId="175870">
                <text>Lahari P.S.; Janamala V.</text>
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              <elementText elementTextId="175871">
                <text>Lecture Notes in Networks and Systems, Vol-608, pp. 817-825.</text>
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              <elementText elementTextId="175872">
                <text>Springer Science and Business Media Deutschland GmbH</text>
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                <text>2023-01-01</text>
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                <text>ISSN: 23673370; ISBN: 978-981199224-7</text>
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                <text>Lahari P.S., Department of Electrical and Electronics Engineering, School of Engineering and Technology, Christ (Deemed to be University), Karnataka, Bangalore, 560074, India; Janamala V., Department of Electrical and Electronics Engineering, School of Engineering and Technology, Christ (Deemed to be University), Karnataka, Bangalore, 560074, India</text>
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                <text>HunterPrey Optimization Algorithm for Optimal Allocation of PV, DSTATCOM, and EVCS in Radial Distribution Systems</text>
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              <elementText elementTextId="74034">
                <text>intelligent algorithm; optimal allocation; radial distribution systems; voltage stability</text>
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                <text>This research article instigates a seminal approach for optimizing reactive power in renewable energy sources (RES) and electric vehicles (EVs) coalescing distribution systems, using the innovative HunterPrey Optimization (HPO) algorithm in conjunction with DSTATCOM as a reactive power compensator. The proposed methodology aims to minimize losses, enhance voltage stability, and improve overall system performance by simultaneously optimizing reactive power flows in photovoltaic RES (PV_DG), EV charging stations (EVCS), and DSTATCOMs within the distribution system. Simulations carried on IEEE-33, IEEE-69, and IEEE-118 test bus systems in MATLAB environment demonstrate that the HPO-based approach achieves a 91.47% and 96.61% reduction in real power losses and an improvement in voltage profile with a minimum voltage value of 0.991 and 0.994 p.u. (respectively for IEEE-33 and 69 bus systems), compared to traditional algorithms. These results highlight the lofty performance of the HPO method, effectively addressing the challenges posed by the integration of RES and EVs along with DSTATCOM.  2024 John Wiley &amp;amp; Sons Ltd.</text>
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                <text>Pappu S.L.; Janamala V.; Veerendra A.S.</text>
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                <text>Patent Number: 202131040276, Applicant: Shovon Nandi.&#13;
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                <text>Artificial Intelligence models have found their usage in the human resource domain. In this paper, job reviewers' opinions on online discussion boards have been captured. The relative importance of factors has been established through an extensive literature review. First, LDA Topic modelling by adopting PCA is performed on unstructured text data has been analyzed. Second, sentiment analysis using the Li-Hu method has been employed to understand job seekers' satisfaction with job portals. The proposed model, 'Hybrid AI Talent Acquisition Model,' follows a novel approach to streamlining the jobseeker opinion related to online outlets.  2022 IEEE.</text>
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                <text>Hybrid Analytical-Machine Learning Framework for SH-Wave Dispersion in Piezo-Flexoelectric Layered Structures with Imperfect Interfaces</text>
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                <text>01-01-2026</text>
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              <elementText elementTextId="211722">
                <text>Journal of Engineering Mechanics;Volume;152;Issue;6;Article No.;4026020;</text>
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                <text>&lt;a href="https://doi.org/10.1061/JENMDT.EMENG-8884" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1061/JENMDT.EMENG-8884&lt;/a&gt; &lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/pages/publications/105035391118?origin=resultslist" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/pages/publications/105035391118?origin=resultslist&lt;/a&gt;</text>
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                <text>Seema, Dept. of Mathematics, Christ Univ., Bengaluru, Karnataka, 560029, India; Singhal A., Dept. of Mathematics, Christ Univ., Bengaluru, Karnataka, 560029, India</text>
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                <text>This study presents a hybrid analytical-machine learning (ML) framework for modeling shear-horizontal (SH) wave propagation in piezo-flexoelectric (PFE) layered structures with imperfect interfacial bonding. The governing dispersion relations were derived using mechanical, electrical, and flexoelectric continuity conditions, establishing explicit links among phase velocity, wave number, layer thickness ratio, and flexoelectric coefficients. Analytical results revealed that nanoscale flexoelectricity and interfacial imperfections significantly influence wave behavior: electrically open (EO) boundaries amplify electromechanical coupling and enhance dispersion, whereas electrically shorted (ES) conditions suppress these effects, leading to reduced phase velocities. To address the computational cost associated with evaluating high-dimensional parametric spaces, ML surrogate models were incorporated. Convolutional neural network (CNN) and k-nearest neighbor (KNN) regressors accurately reproduced analytical dispersion surfaces with errors below 3% and drastically reduced computation time by more than two orders of magnitude. Classification models provided &amp;gt;90% accuracy in distinguishing EO and ES boundary-condition regimes, and generative artificial intelligence (AI) variational autoencoder/generative adversarial network (VAE/GAN) architectures successfully synthesized dispersion surfaces for previously unseen flexoelectric parameter ranges. The proposed hybrid framework combines the physical rigor of analytical modeling with the efficiency of modern ML surrogates, enabling rapid parametric exploration and high-fidelity prediction of SH-wave characteristics. The outcomes support accelerated design of advanced surface acoustic wave (SAW) devices, micro-electro-mechanical systems (MEMS) components, and nanoscale electromechanical systems. Future work will extend the approach to experimental validation and uncertainty-aware modeling for real-world applications.   2026 American Society of Civil Engineers.</text>
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            <name>Subject</name>
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              <elementText elementTextId="211726">
                <text>Imperfect interfaces; Machine learning surrogates; Physics-informed neural networks; Piezo-flexoelectricity; Shear-horizontal waves; Surface acoustic wave (SAW)/micro-electro-mechanical systems (MEMS) applications</text>
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              <elementText elementTextId="211727">
                <text>American Society of Civil Engineers (ASCE)</text>
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                <text>ISSN: 7339399;</text>
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                <text>English</text>
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              <elementText elementTextId="211731">
                <text>Restricted Access; Hardcopy may be available in the library</text>
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                <text>online</text>
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                <text>Hybrid AODV: An Efficient Routing Protocol for Manet Using MFR and Firefly Optimization Technique</text>
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                <text>AODV; end to end delay; MANET; packet delivery ratio; path optimization; routing overhead; throughput</text>
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                <text>A MANET is a category of ad hoc protocol that could vary positions and track itself on the flutter. It utilizes wireless connections that are attached to several networks. They include wirelessly in a self-configured, self-healing network while not having permanent communication linked in a collection of mobile networks. The network topology of nodes typically varies in MANET, and nodes are free to stir errantly and independently as a router as they accelerate traffic to more nodes within the network. Ad hoc on-demand distance vector (AODV) was employed for node selection to attain the shortest path strategy in existing techniques. In the proposed system, the hybrid AODV (HAODV) technique incorporates the MFR (Most Forward within Radius) technique to detect the shortest path routing algorithm. The MFR method was deployed for selecting the neighbor node, while HAODV was deployed to find the shortest path. To find the shortest path based on the updating equation, the Firefly algorithm is also implemented into the Hybrid AODV. The proposed work's performance is calculated by different network parameters like the end to end delay, average routing overhead, throughput, and packet delivery ratio. After comparing AODV and DSR algorithms, the proposed algorithm (HAODV) shows improvement in packet delivery ratio, end-To-end delay, Routing overhead, and throughput.  2021 World Scientific Publishing Company.</text>
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              <elementText elementTextId="119499">
                <text>Goyal A.; Sharma V.K.; Kumar S.; Poonia R.C.</text>
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                <text>Journal of Interconnection Networks, Vol-21, No. 1</text>
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                <text>World Scientific</text>
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                <text>2021-01-01</text>
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                <text>&lt;a href="https://doi.org/10.1142/S0219265921500043" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1142/S0219265921500043&lt;/a&gt;
&lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85104999475&amp;amp;doi=10.1142%2FS0219265921500043&amp;amp;partnerID=40&amp;amp;md5=b6f6e1626dbca34b448bba7c438ad499" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-85104999475&amp;amp;doi=10.1142%2fS0219265921500043&amp;amp;partnerID=40&amp;amp;md5=b6f6e1626dbca34b448bba7c438ad499&lt;/a&gt;</text>
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              <elementText elementTextId="119504">
                <text>Restricted Access</text>
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                <text>ISSN: 2192659</text>
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                <text>Goyal A., KL (Deemed to Be University), Hyderabad Telangana, 500075, India; Sharma V.K., Jagannath University, India, Jaipur, India; Kumar S., CHRIST (Deemed to Be University), Bangalore Karnataka, 560074, India; Poonia R.C., Amity University Rajasthan, Jaipur, India</text>
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