Proceedings Of International Conference On Paradigms Of Communication Computing And Data Analytics
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Proceedings of International Conference on Paradigms of Communication, Computing and Data Analytics by Anupam Yadav,Satyasai Jagannath Nanda,Meng-Hiot Lim Pdf
This book is a collection of selected high-quality research papers presented at International Conference on Paradigms of Communication, Computing and Data Analytics (PCCDA 2023), held at South Asian University, New Delhi, India, during 22–23 April 2023. It discusses cutting-edge research in the areas of advanced computing, communications and data science techniques. The book is a collection of latest research articles in computation algorithm, communication and data sciences, intertwined with each other for efficiency.
Proceedings of the International Conference on Paradigms of Communication, Computing and Data Sciences by Mohit Dua,Ankit Kumar Jain,Anupam Yadav,Nitin Kumar,Patrick Siarry Pdf
This book gathers selected high-quality research papers presented at the International Conference on Paradigms of Communication, Computing and Data Sciences (PCCDS 2021), held at the National Institute of Technology, Kurukshetra, India, during May 07–09, 2021. It discusses high-quality and cutting-edge research in the areas of advanced computing, communications, and data science techniques. The book is a collection of latest research articles in computation algorithm, communication, and data sciences, intertwined with each other for efficiency.
Proceedings of the International Conference on Paradigms of Computing, Communication and Data Sciences by Rajendra Prasad Yadav,Satyasai Jagannath Nanda,Prashant Singh Rana,Meng-Hiot Lim Pdf
This book gathers selected high-quality research papers presented at International Conference on Paradigms of Communication, Computing and Data Sciences (PCCDS 2022), held at Malaviya National Institute of Technology Jaipur, India, during 05 – 07 July 2022. It discusses high-quality and cutting-edge research in the areas of advanced computing, communications and data science techniques. The book is a collection of latest research articles in computation algorithm, communication and data sciences, intertwined with each other for efficiency.
Proceedings of the International Conference on Paradigms of Computing, Communication and Data Sciences by Mayank Dave,Ritu Garg,Mohit Dua,Jemal Hussien Pdf
This book presents best selected papers presented at the International Conference on Paradigms of Computing, Communication and Data Sciences (PCCDS 2020), organized by National Institute of Technology, Kurukshetra, India, during 1–3 May 2020. It discusses high-quality and cutting-edge research in the areas of advanced computing, communications and data science techniques. The book is a collection of latest research articles in computation algorithm, communication and data sciences, intertwined with each other for efficiency.
Proceedings on International Conference on Data Analytics and Computing by Anupam Yadav,Gaurav Gupta,Puneet Rana,Joong Hoon Kim Pdf
This book features selected papers presented at International Conference on Data Analytics and Computing (ICDAC 2022), organized by Department of Mathematics, College of Science and Technology, Wenzhou-Kean University, Wenzhou, China, held during May 28–29, 2022. This book includes state-of-the-art current trends in data science, data analytics optimization, soft computing and related areas. Its primary readers are postgraduate students, researchers and academic professionals.
AI-Driven Marketing Research and Data Analytics by Masengu, Reason,Chiwaridzo, Option Takunda,Dube, Mercy,Ruzive, Benson Pdf
The surge in technological advancements, coupled with the exponential growth of data, has left marketers grappling with the need for a paradigm shift. The once-established methods of consumer engagement are now overshadowed by the complexities of the digital age, demanding a profound understanding of artificial intelligence (AI) and data analytics. The gap between academic knowledge and practical applications in the field of marketing has widened, leaving industry professionals, educators, and students seeking a comprehensive resource to navigate the intricacies of this transformative era. AI-Driven Marketing Research and Data Analytics is a groundbreaking book that serves as a beacon for marketers, educators, and industry leaders alike. With a keen focus on the symbiotic relationship between AI, data analytics, and marketing research, this book bridges the gap between theory and practice. It not only explores the historical evolution of marketing but also provides an innovative examination of how AI and data analytics are reshaping the landscape. Through real-time case studies, ethical considerations, and in-depth insights, the book offers a holistic solution to the challenges faced by marketing professionals in the digital age.
Balancing Automation and Human Interaction in Modern Marketing by Nair, Arjun J.,Manohar, Sridhar,Mittal, Amit,Ahmed, Wasim Pdf
In modern marketing, a pivotal challenge has surfaced - finding the delicate balance between automation and human interaction. This challenge stems from the rapid advancement of artificial intelligence (AI) technologies, which, while promising unparalleled efficiency and innovation, also lack the personal touch inherent in traditional marketing. As AI gains prominence, marketers grapple with integrating automated processes while preserving the authenticity and emotional resonance that human engagement brings. Balancing Automation and Human Interaction in Modern Marketing positions itself as a guiding force in achieving balance amid the changing marketing landscape. Within the pages of this book lies a comprehensive exploration of contemporary marketing challenges centered on striking the right balance between automation and human interaction. The quest for optimal equilibrium threads through topics such as elevating customer experiences, scalable personalization through AI, emotional intelligence in marketing, and the critical role of human-centered design. By addressing these challenges head-on, the book provides practical advice for implementing AI in marketing but positions ethics at the forefront. It advocates for responsible AI-driven marketing, fostering trust, and ensuring that the human touch remains a cornerstone of brand-consumer relationships.
Computational Science and Its Applications – ICCSA 2023 Workshops by Osvaldo Gervasi,Beniamino Murgante,Ana Maria A. C. Rocha,Chiara Garau,Francesco Scorza,Yeliz Karaca,Carmelo M. Torre Pdf
This nine-volume set LNCS 14104 – 14112 constitutes the refereed workshop proceedings of the 23rd International Conference on Computational Science and Its Applications, ICCSA 2023, held at Athens, Greece, during July 3–6, 2023. The 350 full papers and 29 short papers and 2 PHD showcase papers included in this volume were carefully reviewed and selected from a total of 876 submissions. These nine-volumes includes the proceedings of the following workshops: Advances in Artificial Intelligence Learning Technologies: Blended Learning, STEM, Computational Thinking and Coding (AAILT 2023); Advanced Processes of Mathematics and Computing Models in Complex Computational Systems (ACMC 2023); Artificial Intelligence supported Medical data examination (AIM 2023); Advanced and Innovative web Apps (AIWA 2023); Assessing Urban Sustainability (ASUS 2023); Advanced Data Science Techniques with applications in Industry and Environmental Sustainability (ATELIERS 2023); Advances in Web Based Learning (AWBL 2023); Blockchain and Distributed Ledgers: Technologies and Applications (BDLTA 2023); Bio and Neuro inspired Computing and Applications (BIONCA 2023); Choices and Actions for Human Scale Cities: Decision Support Systems (CAHSC-DSS 2023); and Computational and Applied Mathematics (CAM 2023). /div /div /div /div /div /div /div /div /div /div /div
Utilizing AI and Smart Technology to Improve Sustainability in Entrepreneurship by Hossain, Syed Far Abid Pdf
Businesses must confront a pressing challenge—how to navigate the turbulent seas of market dynamics and technological advancements. As traditional business models face obsolescence in the wake of relentless innovation, enterprises failing to quickly to harness the power of advanced technologies risk fading into obscurity. This predicament sets the stage for a critical exploration of the profound impact of artificial intelligence (AI) and smart technology on the sustainability of entrepreneurial ventures. Without a strategic embrace of these innovations, businesses find themselves adrift, struggling to cope with the demands of a rapidly evolving market. Utilizing AI and Smart Technology to Improve Sustainability in Entrepreneurship serves as a guide for entrepreneurs seeking to thrive in this era of unprecedented change. Readers begin with a deep dive into the challenges faced by contemporary businesses. This book meticulously dissects these challenges and provides guidance for those ready to chart a course toward sustainable success by leveraging the transformative and compelling aptitudes of AI. The proposed solution of the integration of AI and smart technologies into the business landscape is one of great promise.
Handbook of Research on Advancements in AI and IoT Convergence Technologies by Zhao, Jingyuan,Kumar, V. Vinoth,Natarajan, Rajesh,Mahesh, T.R. Pdf
Recently, the internet of things (IoT) has brought the vision of a smarter world into reality with a massive amount of data and numerous services. With the outbreak of the COVID-19 pandemic, artificial intelligence (AI) has gained significant attention by utilizing its machine learning algorithms for quality patient care. The integration of IoT with AI may open new possibilities for both technologies and can play a big part in smart healthcare by providing improved insight into healthcare data and allowing for more inexpensive personalized care. The Handbook of Research on Advancements in AI and IoT Convergence Technologies considers recent advancements in AI and IoT convergence technologies with a focus on state-of-the-art approaches, methodologies, and systems for the design, development, deployment, and innovative use of those convergence technologies. It also provides insight into how to develop AI and IoT convergence techniques to meet industrial demands and covers the emerging research topics that are going to define the future of AI and IoT convergence technology development. Covering key topics such as diseases, smart healthcare, social distance monitoring, and security, this major reference work is ideal for industry professionals, nurses, healthcare workers, computer scientists, policymakers, researchers, scholars, practitioners, instructors, and students.
Deep Learning Techniques for Automation and Industrial Applications by Pramod Singh Rathore,Sachin Ahuja,Srinivasa Rao Burri,Ajay Khunteta,Anupam Baliyan,Abhishek Kumar Pdf
This book provides state-of-the-art approaches to deep learning in areas of detection and prediction, as well as future framework development, building service systems and analytical aspects in which artificial neural networks, fuzzy logic, genetic algorithms, and hybrid mechanisms are used. Deep learning algorithms and techniques are found to be useful in various areas, such as automatic machine translation, automatic handwriting generation, visual recognition, fraud detection, and detecting developmental delays in children. “Deep Learning Techniques for Automation and Industrial Applications” presents a concise introduction to the recent advances in this field of artificial intelligence (AI). The broad-ranging discussion covers the algorithms and applications in AI, reasoning, machine learning, neural networks, reinforcement learning, and their applications in various domains like agriculture, manufacturing, and healthcare. Applying deep learning techniques or algorithms successfully in these areas requires a concerted effort, fostering integrative research between experts from diverse disciplines from data science to visualization. This book provides state-of-the-art approaches to deep learning covering detection and prediction, as well as future framework development, building service systems, and analytical aspects. For all these topics, various approaches to deep learning, such as artificial neural networks, fuzzy logic, genetic algorithms, and hybrid mechanisms, are explained. Audience The book will be useful to researchers and industry engineers working in information technology, data analytics network security, and manufacturing. Graduate and upper-level undergraduate students in advanced modeling and simulation courses will find this book very useful.
Proceedings of the 4th International Conference on Big Data Analytics for Cyber-Physical System in Smart City - Volume 1 by Mohammed Atiquzzaman,Neil Yen,Zheng Xu Pdf
This book gathers a selection of peer-reviewed papers presented at the 4th Big Data Analytics for Cyber-Physical System in Smart City (BDCPS 2022) conference, held in Bangkok, Thailand, on December 16–17. The contributions, prepared by an international team of scientists and engineers, cover the latest advances and challenges made in the field of big data analytics methods and approaches for the data-driven co-design of communication, computing, and control for smart cities. Given its scope, it offers a valuable resource for all researchers and professionals interested in big data, smart cities, and cyber-physical systems.
Proceedings of the 4th International Conference on Big Data Analytics for Cyber-Physical System in Smart City - Volume 2 by Mohammed Atiquzzaman,Neil Yuwen Yen,Zheng Xu Pdf
This book gathers a selection of peer-reviewed papers presented at the 4th Big Data Analytics for Cyber-Physical System in Smart City (BDCPS 2022) conference held in Bangkok, Thailand, on December 16–17. The contributions, prepared by an international team of scientists and engineers, cover the latest advances and challenges made in the field of big data analytics methods and approaches for the data-driven co-design of communication, computing, and control for smart cities. Given its scope, it offers a valuable resource for all researchers and professionals interested in big data, smart cities, and cyber-physical systems.
Proceedings of Data Analytics and Management by Ashish Khanna,Zdzislaw Polkowski,Oscar Castillo Pdf
This book includes original unpublished contributions presented at the International Conference on Data Analytics and Management (ICDAM 2022), held at tThe Karkonosze University of Applied Sciences, Poland, during June 2022. The book covers the topics in data analytics, data management, big data, computational intelligence, and communication networks. The book presents innovative work by leading academics, researchers, and experts from industry which is useful for young researchers and students.
2021 International Conference on Big Data Analytics for Cyber-Physical System in Smart City by Mohammed Atiquzzaman,Neil Yen,Zheng Xu Pdf
This book gathers a selection of peer-reviewed papers presented at the third Big Data Analytics for Cyber-Physical System in Smart City (BDCPS 2021) conference, held in Shanghai, China, on Nov. 27, 2021. The contributions, prepared by an international team of scientists and engineers, cover the latest advances made in the field of machine learning, and big data analytics methods and approaches for the data-driven co-design of communication, computing, and control for smart cities. Given its scope, it offers a valuable resource for all researchers and professionals interested in big data, smart cities, and cyber-physical systems.
