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By: Ali Kashif Bashir (Edited by) , Al-Sakib Khan Pathan (Edited by) , Mamoun Alazab (Edited by) , Uttam Ghosh (Edited by)
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This book promotes and facilitates exchanges of research knowledge and findings across different disciplines on the design and investigation of deep learning (DL)based data analytics of IoT (Internet of Things) infrastructures. Deep Learning for Internet of Things Infrastructure addresses emerging trends and issues on IoT systems and services across various application domains. The book investigates the challenges posed by the implementation of deep learning on IoT networking models and services. It provides fundamental theory, model, and methodology in interpreting, aggregating, processing, and analyzing data for intelligent DL-enabled IoT. The book also explores new functions and technologies to provide adaptive services and intelligent applications for different end users.
FEATURES
Uttam Ghosh
is an Assistant Professor in the Department of Electrical Engineering and Computer Science, Vanderbilt University, Nashville, Tennessee, USA.
Mamoun Alazab
is an Associate Professor in the College of Engineering, IT and Environment at Charles Darwin University, Australia.
Ali Kashif Bashir
is a Senior Lecturer/Associate Professor and Program Leader of BSc (H) Computer Forensics and Security at the Department of Computing and Mathematics, Manchester Metropolitan University, United Kingdom.
Al-Sakib Khan Pathan
is an Adjunct Professor of Computer Science and Engineering at the Independent University, Bangladesh.
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