The book “Augmented Intelligence: Deep Learning, Machine Learning, Cognitive Computing, Educational Data Mining (Vol 3)” attempts to integrate various facets of Augmented Intelligence, such as Machine Learning and Deep Learning, from a variety of viewpoints, describing recent research developments and advanced topics in the field that will be of interest to academicians and researchers working in this field.
The aim of this book “Augmented Intelligence: Deep Learning, Machine Learning, Cognitive Computing, Educational Data Mining (Vol 3)” is to provide various audiences with groundbreaking developments in theory, analytical methods, numerical simulation, statistical analysis, modeling, advanced implementation, case studies, analytical outcomes, computational structuring, and significant progress in the field of Machine Learning and Deep Learning.
The book will able to define the model which supports Knowledge Discovery, educational model design, self-learned system, logical reasoning, virtual learning, social network analysis etc. Key features that are valuable and/or beneficial to readers are Augmented Intelligence, Educational Data Mining, Empirical Modeling, Cognitive Computing, and Machine Intelligence. Scientists, application physicians, health practitioners, teachers, scholars, and students will benefit from this book. This book will reveal the various dimensions of computer applications and show how they can be used to solve a variety of real-world problems related to augmented intelligence are the relevant audience of the book.
About the editor:
Om Prakash Jena is currently working as an Assistant Professor in the Department of Computer Science, Ravenshaw University, Cuttack, and Odisha. He has 10 years of teaching and research experience in under graduate and post graduate level. He has published several technical papers in international journals/conferences/edited book chapters of reputed publications. He is a member of IEEE, IETA, IAAC, IRED, IAENG and WACAMLDS. His current research interest includes Database, Pattern Recognition, Cryptography, Network Security, Artificial Intelligence, Machine Learning, Soft Computing, Natural Language Processing, Data Science, Compiler Design, Data Analytics and Machine Automation. He has guided many Projects and thesis in UG, PG level. He has many edited book, published by Wiley, CRC press, Bentham Publication in to his credit and also author of two text book under Kalyani Publisher.
Dr. Alok Ranjan Tripathy is currently working as an Assistant Professor in the Department of Computer Science, Ravenshaw University, Cuttack, and Odisha. He has more than 15 years of teaching experience in under graduate and post graduate level. He obtained his M.Tech degree and Ph.D in Computer Science from Utkal University. He has published several technical papers in international journals/conferences/edited book chapters of reputed publications. He is a life member of ISTE, CSI and Odisha Information Technology Society (OITS). His current research interest includes Algorithms, Pattern Recognition, Cloud Computing, Network Security, Artificial Intelligence, Machine Learning, Quantum Computing and Wireless Sensor Network.
Dr. Brojo Kishore Mishra is currently working as Associate Dean (International Affairs) and Professor at Department of Computer Science & Engineering, School of Engineering & Technology, GIET University, Gunupur, India. He received his PhD degree in the field of Computer Science from Berhampur University, India in 2012. His main research areas include Data Mining, Machine Learning and Security.
Dr. Ahmed A. Elngar is an Assistant Professor of Computer Science, Chair of Scientific Innovation Research Group (SIRG) Director of Technological and Informatics Studies Center Managing Editor of Journal of Cyber security and Information Management (JCIM), Beni-Suef University, Faculty of Computers & Artificial Intelligence, Egypt. Dr. Elngar is the Founder and Head of Scientific Innovation Research Group (SIRG) and Assistant Professor of Computer Science at the Faculty of Computers and Information, Beni-Suef University. Dr. Elngar is a Director of the Technological and Informatics Studies Center (TISC), Faculty of Computers and Information, Beni-Suef University. He is a Managing Editor: Journal of Cyber security and Information Management (JCIM) Dr. Elngar has more than 25 scientific research papers published in prestigious international journals and over 5 books covering such diverse topics as data mining, intelligent systems, social networks and smart environment. Research works and publications. Dr. Elngar is a collaborative researcher He is a member in Egyptian Mathematical Society (EMS) and International Rough Set Society (IRSS). His other research areas include Internet of Things (IoT), Network Security, Intrusion Detection, Machine Learning, Data Mining, Artificial Intelligence. Big Data, Authentication, Cryptology, Healthcare Systems, Automation Systems. He is an Editor and Reviewer of many international journal around the world. Dr. Elngar won several awards including the "Young Researcher in Computer Science Engineering", from Global Outreach Education Summit and Awards 2019, on 31 January 2019 (Thursday) at Delhi, India.
Keywords:
Augmented Intelligence, Natural Language Processing, Knowledge Discovery, Knowledge representation and reasoning, Knowledge Augmentation, Intelligent tutoring and scaffolding, Educational Data Mining, Knowledge in Taxonomies and Ontologies, Machine Intelligence, Cognitive Computing, Deep Learning, Computational thinking and model-building, Brain and Computer Interface, Augmented Reality, Empirical Modelling, Logical Reasoning, Predictive Model Design, Human-Machine Integrity, Machine Learning, Virtual Facilitators and Learning Environment
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