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                <text>Sirisha K.L.S., Keshav Memorial Institute of Technology, India; Richa, Government Leather Institute Kanpur, India; Anuradha R., Department of Information Technology, Institute of Aeronautical Engineering, Hyderabad, India; Anandhi R.J., Department of Information Science Engineering, New Horizon College of Engineering, Bangalore, India; Gupta L.R., Lovely Professional University, Phagwara, India; Acharjee P.B., Computer Science, CHRIST University, Bangaluru, India</text>
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                <text>Goswami S., Institute of Business Management, GLA University, Uttar Pradesh, Mathura, India; Nassa V.K., Department of Information Communication Technology(ICT), Tecnia Institute of Advanced Studies(Delhi), Affiliated with Guru Gobind Singh Indraprastha University, India; Hussain S.S., Department of Information Technology, Institute of Aeronautical Engineering, Telangana, Hyderabad, India; Anandhi R.J., Department of Information Science Engineering, New Horizon College of Engineering, Bangalore, India; Gupta L.R., Lovely Professional University, Phagwara, India; Bikash P., CHRIST University, Pune, India</text>
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                <text>Modern cities tremendous development of urbanization necessitates smart responses to pressing problems like mobility, medical care, power, and civil construction. The Internet of Things (IoT), which can use sustainable data and communication innovations, is evolving into the foundation for the upcoming trends of smart cities. To meet the demands of the expanding populace, several demands of the smart city must be taken into account. The IoT expansion has greatly generated a variety of study avenues for the smart city on the flip side of developing innovation. The suggested research proposal offers the analytic network procedure (ANP) for analyzing smart cities while maintaining in mind application instances of the smart city. In complicated circumstances when there are ambiguous options, the ANP technique performs effectively. The projected methods experimental findings demonstrate its viability for use case-based evaluation of IoT-enabled smart cities.  2024 selection and editorial matter, Prof. (Dr.) Dorota Jelonek, Prof. (Dr.) Narendra Kumar, Prof. (Dr.) Mamta Chahar, Prof. (Dr.) Rusudan Kinkladze and Prof. (Dr.) Lilla Knop; individual chapters, the contributors.</text>
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                <text>Recent Trends in Engineering and Science for Resource Optimization and Sustainable Development;pp.198-201</text>
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                <text>Mythily E., Department of Commerce with Cost and Management Accounting, PSG College of Arts &amp;amp; Science, Coimbatore, India; Ramya S.S., Department of Commerce, PSG College of Arts &amp;amp; Science, Coimbatore, India; Sangeeta K., Department of Computer Science and Engineering, Institute of Aeronautical Engineering, Hyderabad, India; Swathi B., Department of Information Science Engineering, New Horizon College of Engineering, Bangalore, India; Kumar M., Lovely Professional University, Phagwara, India; Bikash P., CHRIST University, Pune, India; Kumar N., NIET, NIMS University, Jaipur, India</text>
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                <text>The aim of this research is to learn how big data strategies (BDS) as a corporate culture might improve confidence and cooperative performance across civil and defence sectors involved in disaster relief activities. The research conceptualized a unique conceptual framework to demonstrate, employing the competitive value model (CVM), how BDS influences swift confidence (SC) and cooperative performance (CP) beneath the moderating impact of the corporate culture. The findings have four significant consequences. Initially, the BDS has a strong beneficial influence on SC and CP. Secondly, neither adaptable orientation (AO) nor regulated orientation (RO) had any effect on constructing SC. Thirdly, AO has a strong and beneficial moderating influence on the path connecting BDS and CP. As a result, RO shows a considerable negative moderating impact on the path linking BDS and CP.  2024 selection and editorial matter, Prof. (Dr.) Dorota Jelonek, Prof. (Dr.) Narendra Kumar, Prof. (Dr.) Mamta Chahar, Prof. (Dr.) Rusudan Kinkladze and Prof. (Dr.) Lilla Knop; individual chapters, the contributors.</text>
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                <text>Recent Trends in Engineering and Science for Resource Optimization and Sustainable Development;pp.189-192</text>
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                <text>Chowdhary H., School of doctoral Studies and research, National Forensic Sciences University, Sector 9, Gujarat, Gandhinagar, India; Gupta P., Department of Computer Science and Engineering, Institute of Aeronautical Engineering, Telangana, Hyderabad, India; Swathi B., Department of Information Science Engineering, New Horizon College of Engineering, Bangalore, India; Kansal L., Lovely Professional University, Phagwara, 144433, India; Acharjee P.B., CHRIST University, Pune, India</text>
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                <text>Recent Trends in Engineering and Science for Resource Optimization and Sustainable Development;pp.185-188</text>
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                <text>Champaneria T.A., U &amp;amp; P U. Patel Department of Computer Engineering, CHARUSAT University, India; Patil K.V., Department of Information Technology, Bharati Vidyapeeth College of Engineering for Women Pune 43, Maharashtra, India; Yamini S., Department of Computer Science and Engineering, Institute of Aeronautical Engineering, Telangana, Hyderabad, India; Reddy U., Department of Artificial Intelligence and Machine Learning, New Horizon College of Engineering, Bangalore, India; Kansal L., Lovely Professional University, Phagwara, India; Acharjee P.B., Computer Science, CHRIST University, Bangaluru, India</text>
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                <text>The Internet of Things (IoT) has received a lot of interest in recent times. IoT depicts the upcoming internet and is defined as an environment of linked gadgets, computational processes, and other items that collaborate to transmit information or data with greater ease and economic advantages. Nevertheless, because of the presence of numerous concerns, IoT adoption, architecture, and innovation continue concerns. As a result, the purpose of this study was to identify and analyze the concerns in the adoption, architecture, and innovation of IoT systems in construction enterprises in the Indian environment. The research analysis and professional comments have been employed to identify the barriers to IoT adoption, architecture, and innovation. This research may assist professionals and policymakers in addressing barriers to successful IoT adoption and spread. At last, findings and potential research possibilities are provided.  2024 selection and editorial matter, Prof. (Dr.) Dorota Jelonek, Prof. (Dr.) Narendra Kumar, Prof. (Dr.) Mamta Chahar, Prof. (Dr.) Rusudan Kinkladze and Prof. (Dr.) Lilla Knop; individual chapters, the contributors.</text>
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                <text>Recent Trends in Engineering and Science for Resource Optimization and Sustainable Development;pp.177-180</text>
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                <text>Mishra A.B., International Institute of Management Studies, Maharashtra, Pune, India; Panda S.R., ECE for Diploma, India; Anitha G., Department of Computer Science and Engineering, Institute of Aeronautical Engineering, Telangana, Hyderabad, India; Reddy U., Department of Artificial Intelligence and Machine Learning, New Horizon College of Engineering, Bangalore, India; Sethi G., Lovely Professional University, Phagwara, India; Acharjee P.B., Computer Science, CHRIST University, Bangaluru, India</text>
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                <text>For several decades, the concept and technology of combining actuators and sensors into a system to monitor and operate tangible structures distantly was understood and developed. Nevertheless, slightly over a decade back, the notion of the Internet of Things (IoT) emerged and was utilized to merge such techniques into a prevalent architecture. The study outlines and addresses IoT conceptual structures suggested as part of continuing standardization attempts, layout problems regarding IoT hardware and software parts, and delegates of IoT application domains like healthcare, smart cities, the farming industry, and nano-scale uses. The research verifies the argument that an agreement on the precise scope of the IoTs will likely be formed, as enabling innovation evolves and novel application domains have been presented. Current modifications, nevertheless, are a bit muted, and their variants on application domains have been distinct, with statistics and information technologies serving a significant part in the IoT environment.  2024 selection and editorial matter, Prof. (Dr.) Dorota Jelonek, Prof. (Dr.) Narendra Kumar, Prof. (Dr.) Mamta Chahar, Prof. (Dr.) Rusudan Kinkladze and Prof. (Dr.) Lilla Knop; individual chapters, the contributors.</text>
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                <text>Recent Trends in Engineering and Science for Resource Optimization and Sustainable Development;pp.160-163</text>
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                <text>Singh A., Institute of Business Management, GLA University, Mathura, India; Saxena N.K., INVERTIS UNIVERSITY, Uttar Pradesh, Bareilly, India; Alekhya J., Department of Computer Science and Engineering, Institute of Aeronautical Engineering, Hyderabad, India; Reddy U., Department of Artificial Intelligence and Machine Learning, New Horizon College of Engineering, Bangalore, India; Thethi H.P., Lovely Professional University, Phagwara, India; Acharjee P.B., Computer Science, CHRIST University, Bangaluru, India</text>
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                <text>The objective of the revolution known as Industry 4.0 seeks to optimize goods creation based on consumer requirements, specifications for quality, and financial viability. Big data collected by the Internet of Things (IoT)-based commercial Cyber-Physical Systems (CPS) plays an essential part in boosting platform operation efficiency to promote throughput with improved consumer encounters in Industry 4.0. This study shows big databases derived from IoT-based Optical-Wireless CPS (OWCPSs) for optimizing the functioning of maintenance networks in the electronics-manufacturing Industry 4.0. This research collected and analyzed big databases including five parameters: data delivery, delay, overload, throughput, and package error percentage in OWCPSs. The information gathered is important for optimizing the functioning of service systems in the production of electronic goods Industry 4.0.  2024 selection and editorial matter, Prof. (Dr.) Dorota Jelonek, Prof. (Dr.) Narendra Kumar, Prof. (Dr.) Mamta Chahar, Prof. (Dr.) Rusudan Kinkladze and Prof. (Dr.) Lilla Knop; individual chapters, the contributors.</text>
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                <text>Muralidharan V., Department of ECE, Dr. N.G.P. Institute of Technology, Tamil Nadu, Coimbatore, India; Rane K.P., Department of Electronics and Telecommunications Engineering, Bharati Vidyapeeth College of engineering, Navi Mumbai, India; Rashmi K., Department of Computer Science and Engineering, Institute of Aeronautical Engineering, Hyderabad, India; Chandrashekar R., Department of Mechanical Engineering, New Horizon College of Engineering, Bangalore, India; Nagpal A., Lovely Professional University, Phagwara, India; Acharjee P.B., Computer Science, CHRIST University, Bangaluru, India</text>
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                <text>The function of artificial intelligence (AI) in electronic engineering has been suggested to overcome the issue of an elevated structure error rate in electronic engineering. Using LPWAN innovation in AI as an instance, an innovative structure is presented to increase the safety of the Internet of Things wireless communication infrastructure. The business, processing of information, terminal accessibility, and communication innovation layers make up the majority of the framework. The empirical findings indicate that the structures setup transmits four types of data transfer directions every 30 seconds, and the receiver port constantly gathers the aforementioned command information for 4 hours, contrasted to the conventional framework (15.6 percent), and the package loss rate is 4 percent, significantly enhancing the systems throughput and processing performance. The developed framework is more stable, has a lower bit error rate, and may assist wireless communication effectively. It has been demonstrated that the novel design, using LPWAN innovation as an instance, has a big total capacity as well as a good performance of its electronic engineering connection. The structure number error rate is considerably lowered, and the signal structure number is highly accurate as an outcome.  2024 selection and editorial matter, Prof. (Dr.) Dorota Jelonek, Prof. (Dr.) Narendra Kumar, Prof. (Dr.) Mamta Chahar, Prof. (Dr.) Rusudan Kinkladze and Prof. (Dr.) Lilla Knop; individual chapters, the contributors.</text>
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                <text>Pathak S.P., Client Experience (Capital Markets) FIS Global, Pune, India; Chandra A.S., Faculty of Management and Commerce, PES University Bengaluru Karnataka, India; Lohitha G., Department of Information Technology, Institute of Aeronautical Engineering, Telangana, Hyderabad, India; Jain M., Institute of Business Management, GLA University, Uttar Pradesh, Mathura, India; Joseph C., School of Law, Christ (Deemed to be University), India; Ravichand M., Velagapudi Ramakrishna Siddhartha Engineering College, India, Siddhartha Academy of Higher Education - A Deemed to be University, Andhra, Vijayawada, India; Mohammed A.F.K., Ain shams university  Egypt, Egypt</text>
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                <text>The use of electronic voting technologies has grown in popularity as a way to make elections more secure and accessible. The implementation of blockchain-based encrypted identity management in electronic voting is explored in this study, which also offers a solid option to improve the reliability and credibility of voting systems. This study explores the possibilities for anonymous and transparent electronic voting while preserving voter privacy and anonymity by incorporating blockchain technology. It has always been challenging to create an electronic voting system that properly satisfies the requirements of administrators. This problem is now being resolved by blockchain technologies, which provide a distributed database with irreversible, encrypted identity management and secure transactions. A fascinating advancement in the realms of data innovation, dependability, and transparency is distributed ledger technology. Distributed ledger technology is commonly used in public blockchain. Virtually limitless potential for earning from sharing economies are provided by blockchain technology. This project aims to determine whether blockchain technology can be used to create electronic voting devices are used as a service.  2024 selection and editorial matter, Prof. (Dr.) Dorota Jelonek, Prof. (Dr.) Narendra Kumar, Prof. (Dr.) Mamta Chahar, Prof. (Dr.) Rusudan Kinkladze and Prof. (Dr.) Lilla Knop; individual chapters, the contributors.</text>
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                <text>Prasad C.D., Department of Mechanical Engineering, RV Institute of Technology and Management (RVITM), Bengaluru, India; Pradeep Kumar G.S., Department of Mechanical Engineering, Christ University, Karnataka, Bengaluru, India; Shashi Kumar M.E., Department of Mechanical Engineering, Amrita School of Engineering, Amrita Vishwa Vidyapeetham, Karnataka, Bengaluru, India; Krupa R., Department of Mechanical Engineering, Nitte Meenakshi Institute of Technology, Karnataka, Bengaluru, India; Rajesh M.N., Department of Mechanical Engineering, GITAM (deemed to be) University, Karnataka, Bengaluru, India; Veeresha G., Department of Mechanical Engineering, New Horizon College of Engineering, Karnataka, Bengaluru, India</text>
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                <text>George J., CHRIST (Deemed to be University, BGR Campus, Karnataka, Bengaluru, India; Upreti K., Department of Computer Science, Delhi NCR, Ghaziabad, India; Alapatt B.P., Department of Economics, CHRIST University, Delhi NCR, India</text>
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                <text>Cognitive Cloud Computing: Building Intelligent Systems for Tomorrow;pp.137-154</text>
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                <text>Kumar P., Department of Economics, CHRIST University, Delhi NCR, India; Chauhduri S., Department of Economics, CHRIST University, Delhi NCR, India; Nijhawan P., T&amp;amp; A Consulting Global Pvt. Ltd, Gurgugram, India; Poonia R.C., Department of Computer Science, CHRIST (Deemed to be University, Bengaluru, India; Shankar U., Faculty of Management and Social Sciences, Qaiwan International University, Kurdistan, Sulaymaniyah, Iraq; Ahmad F., Department of Economics, CHRIST University, Delhi NCR, India</text>
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                <text>The healthcare sector has witnessed significant changes as cyber-physical systems (CPS) bring embedded technologies that are developed from human and physical surroundings to smart objects. Wearable technologies such as wearable fitness trackers, biosensors, and smartwatches stand as good examples of smart healthcare that may improve decision-making and real-time patient monitoring. Through advances in personal health technology, mobile medication, and smart sensing, these technologies aid the medical treatment of the patient. Such advancements enable monitoring and programming health data streams continually, which supports early diagnosis and better care. However, challenges persist in integrating machine learning into health wearables; it still poses a limitation, improving algorithm accuracy and reliability so that the use can be widespread. Advances in skin-based, textile-based, and biofluidic designs have allowed medical wearables to monitor neuro, cardiovascular, and metabolic disorders, which are being further extended to drug delivery systems. The present study identifies gaps and advances in the field using secondary data from articles, journals, and research papers. It highlights future research directions on the clinical applications of wearable technology and its role in routine safety and health monitoring. Findings have indicated that regulated data privacy, equity, and fairness must be pursued to fully realize CPS-enabled wearables in terms of a healthcare revolution.  2026 selection and editorial matter, Jossy George, Kamal Upreti, Ramesh Chandra Poonia, Ankit Gautam, and Danish Nadeem; individual chapters, the contributors.</text>
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                <text>Cognitive Cloud Computing: Building Intelligent Systems for Tomorrow;pp.124-136</text>
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                <text>Mathew P.L., Department of Economics, CHRIST University, Delhi NCR, India; Chaudhry S., Department of Economics, CHRIST University, Delhi NCR, India; Upreti K., School of Sciences, CHRIST University, Delhi NCR, India; Farooqui S., Centre for Online Learning, Dr. D. Y. Patil Vidyapeeth, Pune Sant Tukaram Nagar, Pimpri, Pune, India; Radhakrishnan G.V., Kalinga School of Management, Kalinga Institute of Industrial Technology, Bhubaneswar, India</text>
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                <text>World urbanization, at an accelerated rate, leads to a growing need for innovative cities that consider advances in AI and cyber-physical systems (CPS). A smart city is a development of a traditional environment of an urban setting, enhancing it with information and communication technology (ICT) and CPS to improve the quality of life, sustainability, and efficiency of the inhabitants. This chapter will cover the major constituents, challenges, and opportunities associated with the development of smart cities from the historically congested and ad hoc planned cities. A smart city connects a digitally empowered environment through sensors, processors, and communication systems integrated into urban infrastructures, allowing continuous monitoring of public health, mobility, energy consumption, and so on. The combination of AI and data analytics with smart city technologies will help optimize services in cities, reduce environmental effects, and accelerate socioeconomic development and decision-making. Improvement to cities is still a debatable issue, and there are additional obstacles to be overcome, such as infrastructural inadequacy, budgetary constraints, and technical issues. Realization of the full potential of smart cities will occur through successful resolution of the aforementioned issues. All the issues of this chapter can be addressed by adopting a multidisciplinary approach emphasizing sustainable designs, publicprivate sector partnerships, and regulatory frameworks. If ignored, such problems will definitely lead to adverse effects on implementation, an increase in socioeconomic inequality, and damage to the environment. This chapter relies on the secondary methodology of research and assimilates knowledge from journal articles, literature, and earlier research regarding smart cities, CPS, and AI applications. It defines current trends, recognizes long-standing problems, and suggests ways to bridge them, along with some directions for future research. This will help in understanding the ability of AI to make smart city adaptation strong concerning population growth, health crises, and climate change. It will also strengthen and connect the urban landscape of the future. Thus, by solving these problems and their consequent impacts, smart cities can totally transform urban life.  2026 selection and editorial matter, Jossy George, Kamal Upreti, Ramesh Chandra Poonia, Ankit Gautam, and Danish Nadeem; individual chapters, the contributors.</text>
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