Aboul Ella Hassanien (ed.); Ahmad Taher Azar (ed.); Vaclav Snasael (ed.); Janusz Kacprzyk (ed.); Jemal H. Abawajy (ed.) Springer (2015) Kovakantinen kirja
Jemal H. Abawajy (ed.); Mohamed Othman (ed.); Rozaida Ghazali (ed.); Mustafa Mat Deris (ed.); Hairulnizam Mahdin (ed.); Her Springer (2019) Kovakantinen kirja
Jemal H. Abawajy (ed.); Kim-Kwang Raymond Choo (ed.); Rafiqul Islam (ed.); Zheng Xu (ed.); Mohammed Atiquzzaman (ed.) Springer (2019) Pehmeäkantinen kirja
Aboul Ella Hassanien (ed.); Ahmad Taher Azar (ed.); Vaclav Snasael (ed.); Janusz Kacprzyk (ed.); Jemal H. Abawajy (ed.) Springer (2016) Pehmeäkantinen kirja
Sabu M. Thampi (ed.); Elizabeth Sherly (ed.); Soura Dasgupta (ed.); Jaime Lloret Mauri (ed.); Jemal H. Abawajy (ed.); Khoro Springer (2020) Pehmeäkantinen kirja
Debasis Giri (ed.); Rajkumar Buyya (ed.); S. Ponnusamy (ed.); Debashis De (ed.); Andrew Adamatzky (ed.); Jemal H. Abawajy Springer (2020) Pehmeäkantinen kirja
Rozaida Ghazali (ed.); Nazri Mohd Nawi (ed.); Mustafa Mat Deris (ed.); Jemal H. Abawajy (ed.); Nureize Arbaiy (ed.) Springer (2023) Pehmeäkantinen kirja
This book addresses the adoption of intelligent algorithms for resolving challenges in different aspects of the society such as sport, cyber-security, COVID-19 pandemic, advertising, driving, smart environment—sensors, blockchain, cloud computing, and health. In addition, the book also covers machine learning fundamentals such as feature selection. The book presents practical simulation results and different illustrations in different chapters for easy understanding of concepts and approaches. The types of contributions in the book are as follows: original research, survey, and theoretical insight that describe advancement in the adoption of technique for resolving the broad range of challenges. Researchers, undergraduates, postgraduates, and industry experts will find the book as a valuable resource that bridges theory and practice.
