Advances In Computer Communications And Networks From Green Mobile Pervasive Networking To Big Data Computing
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Advances in Computer Communications and Networks From Green, Mobile, Pervasive Networking to Big Data Computing
Recent developments in computer communications and networks have enabled the deployment of exciting new areas such as Internet of Things and collaborative big data analysis. The design and implementation of energy efficient future generation communication and networking technologies also require the clever research and development of mobile, pervasive, and large-scale computing technologies. Advances in Computer Communications and Networks: from Green, Mobile, Pervasive Networking to Big Data Computing studies and presents recent advances in communication and networking technologies reflecting the state-of-the-art research achievements in novel communication technology and network optimization. Technical topics discussed in the book include: Data Center NetworksMobile Ad Hoc NetworksMultimedia NetworksInternet of ThingsWireless SpectrumNetwork Optimization.This book is ideal for personnel in computer communication and networking industries as well as academic staff and collegial, master, Ph.D. students in computer science, computer engineering, electrical engineering and telecommunication systems.
Proceedings of the 11th International Conference on Advanced Intelligent Systems and Informatics (AISI 2025)
Author: Aboul Ella Hassanien
language: en
Publisher: Springer Nature
Release Date: 2025-02-20
This book includes recent research on intelligent systems and informatics. It constitutes the proceedings of the 11th International Conference on Advanced Intelligent Systems and Informatics. It presents scientific research on all aspects of informatics and intelligent systems including current research in informatics, machine and deep learning, real-time system, and business intelligence.
Learning Approaches in Signal Processing
Coupled with machine learning, the use of signal processing techniques for big data analysis, Internet of things, smart cities, security, and bio-informatics applications has witnessed explosive growth. This has been made possible via fast algorithms on data, speech, image, and video processing with advanced GPU technology. This book presents an up-to-date tutorial and overview on learning technologies such as random forests, sparsity, and low-rank matrix estimation and cutting-edge visual/signal processing techniques, including face recognition, Kalman filtering, and multirate DSP. It discusses the applications that make use of deep learning, convolutional neural networks, random forests, etc. The applications include super-resolution imaging, fringe projection profilometry, human activities detection/capture, gesture recognition, spoken language processing, cooperative networks, bioinformatics, DNA, and healthcare.