Emerging technologies have become both crucibles and showrooms for the practical application of artificial intelligence, the internet of things, and cloud computing, and for integrating big data into everyday life. Is the digital world optimized and sustainable using intelligence systems, machine learning, and cyber security methods? This complex concoction of challenges requires new thinking of the synergistic utilization of intelligence systems, machine learning, deep learning and blockchain methods, data-driven decision-making with automation infrastructure, autonomous transportation, and connected buildings.

Effective AI, Blockchain, and E-Governance Applications for Knowledge Discovery and Management provides a global perspective on current and future trends concerning the integration of intelligent systems with cybersecurity applications, including recent advances and challenges related to the concerns of security and privacy issues in deep learning with an emphasis on the current state-of-the-art methods, methodologies and implementation, attacks, and countermeasures. The book also discusses the challenges that need to be addressed for implementing DL-based security mechanisms that should have the capability of collecting or distributing data across several applications. Topics covered include skill development and tools for intelligence systems, deep learning, machine learning, blockchain, IoT, cloud computing, data ethics, and infrastructure. It is ideal for independent researchers, research scholars, scientists, libraries, industry experts, academic students, business associations, communication and marketing agencies, entrepreneurs, and all potential audiences with a specific interest in these topics.

Coverage:

The many academic areas covered in this publication include, but are not limited to:

Assembly of Smarter Street Lights Using Internet of Thing (LORA)
Cloud Solutions
Convolution Neural Networks
Deep Learning and Blockchain for Smart Agriculture
Digital Health and Telemedicine
Internet of Things (IoT)
Machine Learning
Machine Learning in Education and Skill Development
Patient-Centric Healthcare
Recommendation Algorithm Prediction
Reinforcement Learning Methods for Plant Disease Classification
Smart City
Smart Healthcare System
Smart Parking Models
Soil Quality Prediction

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Editor/Author Biographies

Rajeev Kumar is a PostDoc Researcher, IUKL Malaysia and Professor, Moradabad Institute of Technology, Moradabad- (India). He is Visited international countries London, United Kingdom and Mauritius as professional activities. Under his supervision awarded 4 scholar their Ph.D. and 5 Scholar is Ongoing their research work. He is awarded 3 times Best project supervisor award; He is delivered a guest lecture, keynote speaker, chaired a session in many National and International conferences, Faculty Development program and workshop; He is completed one Research Project from DST in Bhimtal; He is organized many IEEE international conferences and workshop. He is authored and coauthored more than 85 papers in refereed international journal (SCI and Non- SCI) and conferences like IEEE, Springer, American Institute of Physics, New York Science international Journal New York City (USA), American Science Journal, BioInfo science Journal, Academic science of international journal (USA), International Journal of researcher, American Journal of Physics (USA) and many international Conferences and National Conferences, like IIT Roorkee (International Conference) etc.

Abu Bakar A. Hamid chose academia as his profession in 1992, beginning as a lecturer and later rising to a Professor of Marketing and Supply Chain Management. He holds a BBA and an MBA from Northrop University (USA) and a PhD from the University of Derby, UK. He has demonstrated an excellent record of teaching and supervision for more than 25 years in the academic field, at both undergraduate and postgraduate levels. Above all, his achievement in graduating more than 35 PhD candidates proves his ability, capability, and passion in postgraduate supervisions. He has also produced impactful research and publications which directly strengthen his expertise in his area of interest. In particular, he has published more than 300 articles in competitive international journals, proceedings, books, and book chapters. He also managed to secure several competitive national grants and consultancies for various projects. Such commitment is truly a landmark of an academician. His accolades, academic recognition, and leadership demonstrate his level of professorship. His notable contributions are recognized locally and internationally, as proven by the multiple invitations he has received to be an invited speaker, reviewer, editor in journals, external assessor, and internal or external examiner. With such calibre, he has much to contribute to any academic institution in the world.

Dato’ Dr Noor Inayah Yaakub serves as Professor at Faculty of Economics and Management, Faculty of Law and Institute of West Asian Studies, University Kebangsaan Malaysia since 1998 until 2014. She serves as a Director of the Centre for Corporate Planning & Leadership, Deputy Dean for Research Graduate School of Business, and the -rst Head of Quality, Faculty of Law UKM. She serves at Global Wisdom Centre, University Islam Malaysia. She was admitted to the Malaysian Bar as an Advocate & Solicitor of the High Court of Malaya in 1996 became a quali-ed Shariah lawyer. She practiced law with Messrs. Abraham & Ooi and Co from 1996 to 1998S. She is also a quali-es Syarie lawyer of Negeri Sembilan. She has more than 20 years of experience in teaching Islamic Law, Syariah and Conventional Banking Law, Takaful and Insurance Law, Equity & Trust Law and Business Law and Ethics. She serves as Member of the Board Shariah Committee at CIMB Bank Berhad and Sun Life Malaysia Takaful Berhad. She served as Member of Board Shariah Committee at CIMB Islamic Bank Berhad until March 24, 2017.

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