Emerging Trends In Data Driven Computing And Communications
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| Author | : Rajeev Mathur |
| Publisher | : Springer Nature |
| Total Pages | : 350 |
| Release | : 2021-09-27 |
| Genre | : Technology & Engineering |
| ISBN | : 9811639159 |
This book includes best selected, high-quality research papers presented at International Conference on Data Driven Computing and IoT (DDCIoT 2021) organized jointly by Geetanjali Institute of Technical Studies (GITS), Udaipur, and Rajasthan Technical University, Kota, India, during March 20–21, 2021. This book presents influential ideas and systems in the field of data driven computing, information technology, and intelligent systems.
| Author | : Faisal Saeed |
| Publisher | : Springer |
| Total Pages | : 1133 |
| Release | : 2018-09-08 |
| Genre | : Technology & Engineering |
| ISBN | : 3319990071 |
This book presents the proceedings of the 3rd International Conference of Reliable Information and Communication Technology 2018 (IRICT 2018), which was held in Kuala Lumpur, Malaysia, on July 23–24, 2018. The main theme of the conference was “Data Science, AI and IoT Trends for the Fourth Industrial Revolution.” A total of 158 papers were submitted to the conference, of which 103 were accepted and considered for publication in this book. Several hot research topics are covered, including Advances in Data Science and Big Data Analytics, Artificial Intelligence and Soft Computing, Business Intelligence, Internet of Things (IoT) Technologies and Applications, Intelligent Communication Systems, Advances in Computer Vision, Health Informatics, Reliable Cloud Computing Environments, Recent Trends in Knowledge Management, Security Issues in the Cyber World, and Advances in Information Systems Research, Theories and Methods.
| Author | : Taser, Pelin Yildirim |
| Publisher | : IGI Global |
| Total Pages | : 334 |
| Release | : 2021-11-05 |
| Genre | : Computers |
| ISBN | : 1799841871 |
The internet of things (IoT) has emerged to address the need for connectivity and seamless integration with other devices as well as big data platforms for analytics. However, there are challenges that IoT-based applications face including design and implementation issues; connectivity problems; data gathering, storing, and analyzing in cloud-based environments; and IoT security and privacy issues. Emerging Trends in IoT and Integration with Data Science, Cloud Computing, and Big Data Analytics is a critical reference source that provides theoretical frameworks and research findings on IoT and big data integration. Highlighting topics that include wearable sensors, machine learning, machine intelligence, and mobile computing, this book serves professionals who want to improve their understanding of the strategic role of trust at different levels of the information and knowledge society. It is therefore of most value to data scientists, computer scientists, data analysts, IT specialists, academicians, professionals, researchers, and students working in the field of information and knowledge management in various disciplines that include but are not limited to information and communication sciences, administrative sciences and management, education, sociology, computer science, etc. Moreover, the book provides insights and supports executives concerned with the management of expertise, knowledge, information, and organizational development in different types of work communities and environments.
| Author | : Giampaolo Bella |
| Publisher | : Springer Nature |
| Total Pages | : 351 |
| Release | : 2023-05-11 |
| Genre | : Computers |
| ISBN | : 3031326369 |
This book constitutes the refereed post-conference proceedings of the 15th International Conference on Innovative Security Solutions for Information Technology and Communications, SecITC 2022, held as a virtual event, during December 8–9, 2022. The 19 revised full papers presented together with 1 invited talk were carefully reviewed and selected from 53 submissions. The papers cover topics such as cryptographic algorithms, digital forensics and cyber security and much more.
| Author | : Swagatam Das |
| Publisher | : Springer Nature |
| Total Pages | : 892 |
| Release | : 2023-06-21 |
| Genre | : Technology & Engineering |
| ISBN | : 9819909813 |
The volume is a collection of best selected research papers presented at International Conference on Advances in Data-driven Computing and Intelligent Systems (ADCIS 2022) held at BITS Pilani, K K Birla Goa Campus, Goa, India during 23 – 25 September 2022. It includes state-of-the art research work in the cutting-edge technologies in the field of data science and intelligent systems. The book presents data-driven computing; it is a new field of computational analysis which uses provided data to directly produce predictive outcomes. The book will be useful for academicians, research scholars, and industry persons.
| Author | : Tzung-Pei Hong |
| Publisher | : Springer Nature |
| Total Pages | : 297 |
| Release | : 2022-09-18 |
| Genre | : Computers |
| ISBN | : 3031108698 |
This edited book covers ongoing research in both theory and practical applications of using deep learning for social media data. Social networking platforms are overwhelmed by different contents, and their huge amounts of data have enormous potential to influence business, politics, security, planning and other social aspects. Recently, deep learning techniques have had many successful applications in the AI field. The research presented in this book emerges from the conviction that there is still much progress to be made toward exploiting deep learning in the context of social media data analytics. It includes fifteen chapters, organized into four sections that report on original research in network structure analysis, social media text analysis, user behaviour analysis and social media security analysis. This work could serve as a good reference for researchers, as well as a compilation of innovative ideas and solutions for practitioners interested in applying deep learning techniques to social media data analytics.
| Author | : Manish Tiwari |
| Publisher | : Springer Nature |
| Total Pages | : 438 |
| Release | : 2022-09-13 |
| Genre | : Technology & Engineering |
| ISBN | : 9811916454 |
This book comprises select proceedings of the 5th International Conference on Optical and Wireless Technologies (OWT 2021). The contents of this book focus on research carried out in optical communication, optoelectronics, optics, wireless communication, wireless networks, sensors, mobile communications, and antenna and wave propagation. The book also explores the combined use of various optical and wireless technologies in next-generation applications and their latest developments in the applications such as photonics, high-speed communication systems and networks, visible light communication, nanophotonics, and wireless and MIMO systems. This book serves as a reference to scientists, academicians, engineers, and policy-makers interested in the field of optical and wireless technologies.
| Author | : I. Jeena Jacob |
| Publisher | : Springer Nature |
| Total Pages | : 901 |
| Release | : 2022-12-02 |
| Genre | : Technology & Engineering |
| ISBN | : 9811960046 |
The book is a collection of peer-reviewed best selected research papers presented at the International Conference on Data Intelligence and Cognitive Informatics (ICDICI 2021), organized by SCAD College of Engineering and Technology, Tirunelveli, India, during July 6–7, 2022. This book discusses new cognitive informatics tools, algorithms and methods that mimic the mechanisms of the human brain which lead to an impending revolution in understating a large amount of data generated by various smart applications. The book includes novel work in data intelligence domain which combines with the increasing efforts of artificial intelligence, machine learning, deep learning and cognitive science to study and develop a deeper understanding of the information processing systems.
| Author | : Jitendra Agrawal |
| Publisher | : Springer Nature |
| Total Pages | : 463 |
| Release | : |
| Genre | : |
| ISBN | : 9819724511 |
| Author | : Hiran, Kamal Kant |
| Publisher | : IGI Global |
| Total Pages | : 332 |
| Release | : 2024-04-29 |
| Genre | : Medical |
| ISBN | : |
The integration of Augmented Reality (AR) and Virtual Reality (VR) with Artificial Intelligence (AI) has immense potential to have beneficial effects for institutions of healthcare and medical education. However, this integration has become so complex, it presents numerous challenges across various domains. Researchers and practitioners often need help to keep pace with the rapid advancements of technologies and applications. Issues such as privacy, security, scalability, and optimization of AR/VR setups remain critical concerns for healthcare industry professionals and academics alike. There needs to be a comprehensive resource that addresses these challenges, if we expect the field to grow in an effective and responsible manner. Modern Technology in Healthcare and Medical Education: Blockchain, IoT, AR, and VR offers a solution to these challenges. By providing insights from researchers and experts in the field, this book serves as a valuable reference for addressing real-world problems. This book is a must-have resource for doctoral and post-doctoral researchers, undergraduate and postgraduate students, industry professionals, and government agencies working in AR/VR. It provides a roadmap for future research and development in this rapidly evolving field. It covers a wide range of topics, including enhancements in AR/VR, AI integration, task-specific training, and applications in healthcare and education.
