Description: Computer Vision and Recognition Systems Using Machine and Deep Learning Approaches : Fundamentals, Technologies and Applications, Hardcover by Chowdhary, Chiranji Lal (EDT); Alazab, Mamoun (EDT); Chaudhary, Ankit (EDT); Hakak, Saqib (EDT); Gadekallu, Thippa Reddy (EDT), ISBN 1839533234, ISBN-13 9781839533235, Like New Used, Free shipping in the US
Computer vision is an interdisciplinary scientific field that deals with how computers obtain, store, interpret and understand images or videos using artificial intelligence based on neural networks, machine learning and deep learning methodologies. They are used in countless applications such as image retrieval and classification, driving and transport monitoring, medical diagnostics and aerial monitoring.
Written by a team of international experts, this edited book covers the state-of-the-art of advanced research in the fields of computer vision and recognition systems from fundamental concepts to methodologies and technologies and real world applications including object detection, biometrics, Deepfake detection, sentiment and emotion analysis, traffic enforcement camera monitoring, vehicle control and aerial remote sensing imagery.
Th will be useful for industry and academic researchers, scientists and engineers in the fields of computer vision, machine vision, image processing and recognition, multimedia, AI, machine and deep learning, data science, biometrics, security, and signal processing. It will also make a great course reference for advanced students and lecturers in these fields of research.
Price: 176.06 USD
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End Time: 2024-11-14T09:13:10.000Z
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Book Title: Computer Vision and Recognition Systems Using Machine and Deep Le
Number of Pages: 505 Pages
Language: English
Publication Name: Computer Vision and Recognition Systems Using Machine and Deep Learning Approaches : Fundamentals, Technologies and Applications
Publisher: Institution of Engineering & Technology
Publication Year: 2021
Subject: Engineering (General), Computer Vision & Pattern Recognition
Type: Textbook
Author: Mamoun Alazab
Item Length: 9.2 in
Subject Area: Computers, Technology & Engineering
Item Width: 6.1 in
Series: Computing and Networks Ser.
Format: Hardcover
