We are delighted to introduce the proceedings of the 3rd International Colloquium on Interdisciplinary Islamic Studies. It is annual event hosted and organised by the Graduate School of State Islamic University of Syarif Hidayatullah Jakarta. It was fully 2 days event 20-21 October 2020 by Virtual (online) mode with 3 keynotes speakers: Prof. Abdel Aziz Moenadil from the University of Ibn Thufail, Maroko, Prof Wael Aly Sayyed from the University of Ain Syams, Cairo, Mesir, and Assoc. Prof. Aria Nakissa, Ph.D. from Harvard University. The proceeding consisted of 41 accepted papers from the total of 81 submission papers. The proceeding consisted of 6 main areas of Interdisciplinary Islamic Studies. They are: Islam and medicine, Islam and Science and Technology, Islam and Psychology, Islam and Education, Quran and Hadits, and Islamic Studies with other various aspects. All papers have been scrutinized by a panel of reviewers who provide critical comments and corrections, and thereafter contributed to the improvement of the quality of the papers. Research in Islamic studies and Muslim societies today also increasingly uses interdisciplinary methods and approaches. In order to produce more objective findings, the researchers looked at the need to combine several methods or approaches to an object of study, so that they had additional considerations needed. These additional considerations add a more comprehensive perspective. In this way, in turn they can come up with better findings. Interdisciplinary Islamic studies dispute that Islam is monolithic, militaristic, and primarily Middle Eastern. We strongly believe that ICIIS conference has become a good forum for all researcher, developers, practitioners, scholars, policy makers, especially post graduate students to discuss their understandings of current processes and findings, as well as to look at possibilities for setting-up new trends in SDG and Islamic Interdisciplinary Studies. We also expect that the future ICIIS conference will be as successful and stimulating, as indicated by the contributions presented in this volume.

This book includes original, peer-reviewed research articles from International Conference on Advances in Computer Engineering and Communication Systems (ICACECS 2021), held in VNR Vignana Jyoythi Institute of Engineering and Technology (VNR VJIET), Hyderabad, Telangana, India, during 13–14 August 2021. The book focuses on “Smart Innovations in Mezzanine Technologies, Data Analytics, Networks and Communication Systems” enlargements and reviews on the advanced topics in artificial intelligence, machine learning, data mining and big data computing, knowledge engineering, semantic Web, cloud computing, Internet on Things, cybersecurity, communication systems, and distributed computing and smart systems.

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.

This book is the proceedings of the 4th International Colloquium on Interdisciplinary Islamic Studies (ICIIS), which was held in conjunction with the 1st International Conference on Education, Science, Technology, Indonesian, and Islamic Studies (ICESTIIS) in Jambi, Indonesia, on 20-21 October 2021, using blended platforms, in person and online. The Graduate School of UIN Syarif Hidayatullah Jakarta and UIN Sulthan Thaha Saifuddin, Jambi jointly organized the conference. This conference brought together academic researchers, business professionals, and graduate students to share their experiences and research findings on a wide variety of topics related to interdisciplinary Islamic studies. The proceedings are comprised of 52 high-quality papers chosen from more than 250 submissions. Islam and medicine, Islamic education, Islamic studies, psychology, the Qur'an and Hadith, and science and technology are the six issues covered in the papers. This publication is made possible by the committed steering and organizing committees who oversaw and organized the conference, as well as the reviewers for their academic contributions and commitment to assessing papers.

This proceeding constitutes the thoroughly refereed proceedings of the 1st International Conference on Combinatorial and Optimization, ICCAP 2021, December 7-8, 2021. This event was organized by the group of Professors in Chennai. The Conference aims to provide the opportunities for informal conversations, have proven to be of great interest to other scientists and analysts employing these mathematical sciences in their professional work in business, industry, and government. The Conference continues to promote better understanding of the roles of modern applied mathematics, combinatorics, and computer science to acquaint the investigator in each of these areas with the various techniques and algorithms which are available to assist in his or her research. We selected 257 papers were carefully reviewed and selected from 741 submissions. The presentations covered multiple research fields like Computer Science, Artificial Intelligence, internet technology, smart health care etc., brought the discussion on how to shape optimization methods around human and social needs.

This book focuses on data analytics with machine learning using IoT and blockchain technology. Integrating these three fields by examining their interconnections, Intelligent Data Analytics, IoT, and Blockchain examines the opportunities and challenges of developing systems and applications exploiting these technologies. Written primarily for researchers who are working in this multi-disciplinary field, the book also benefits industry experts and technology executives who want to develop their organizations’ decision-making capabilities. Highlights of the book include: Using image processing with machine learning techniques A deep learning approach for facial recognition A scalable system architecture for smart cities based on cognitive IoT Source authentication of videos shared on social media Survey of blockchain in healthcare Accident prediction by vehicle tracking Big data analytics in disaster management Applicability, limitations, and opportunities of blockchain technology The book presents novel ideas and insights on different aspects of data analytics, blockchain technology, and IoT. It views these technologies as interdisciplinary fields concerning processes and systems that extract knowledge and insights from data. Focusing on recent advances, the book offers a variety of solutions to real-life challenges with an emphasis on security.

This book discusses state-of-the-art reviews of the existing machine learning techniques and algorithms including hybridizations and optimizations. It covers applications of machine learning via artificial intelligence (AI) prediction tools, discovery of drugs, neuroscience, diagnosis in multiple imaging modalities, pattern recognition approaches to functional magnetic resonance imaging, image and speech recognition, automatic language translation, medical diagnostic, stock market prediction, traffic prediction, and product automation. Features: • Focuses on hybridization and optimization of machine learning techniques. • Reviews supervised, unsupervised, and reinforcement learning using case study-based applications. • Covers the latest machine learning applications in as diverse domains as the Internet of Things, data science, cloud computing, and distributed and parallel computing. • Explains computing models using real-world examples and dataset-based experiments. • Includes case study-based explanations and usage for machine learning technologies and applications. This book is aimed at graduate students and researchers in machine learning, artificial intelligence, and electrical engineering.

The three-volume set constitutes the proceedings of the 17th International Conference on Wireless Algorithms, Systems, and Applications, WASA 2022, which was held during October 28-30, 2022. The conference took place in Dalian, China.The 95 full and 62 short papers presented in these proceedings were carefully reviewed and selected from 265 submissions. The contributions in theoretical frameworks and analysis of fundamental cross-layer protocol and network design and performance issues; distributed and localized algorithm design and analysis; information and coding theory for wireless networks; localization; mobility models and mobile social networking; underwater and underground networks; vehicular networks; algorithms, systems, and applications of edge computing

This book deals with the advantages of using artificial intelligence (AI) in the fight against the COVID-19 and against future pandemics that could threat humanity and our environment. This book is a practical, scientific and clinically relevant example of how medicine and mathematics will fuse in the 2020s, out of external pandemic pressure and out of scientific evolutionary necessity. This book contains a unique blend of the world's leading researchers, both in medicine, mathematics, computer science, clinical and preclinical medicine, and presents the research front of the usage of AI against pandemics. Equipped with this book the reader will learn about the latest AI advances against COVID-19, and how mathematics and algorithms can aid in preventing its spreading course, treatments, diagnostics, vaccines, clinical management and future evolution.