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Recent Advances in Computer Vision Applications Using Parallel Processing
Faculty
Computer Science
Year:
2023
Type of Publication:
ZU Hosted
Pages:
1-119
Authors:
Khalied Mohamed Hosny
Staff Zu Site
Abstract In Staff Site
Journal:
1073 Springer
Volume:
Keywords :
Recent Advances , Computer Vision Applications Using
Abstract:
This comprehensive book is primarily intended for researchers, computer vision specialists, and high-performance computing specialists who are interested in parallelizing computer vision techniques for the sake of accelerating the run-time of computer vision methods. This book covers different penalization methods on different parallel architectures such as multi-core CPUs and GPUs. It is also a valuable reference resource for researchers at all levels (e.g., undergraduate and postgraduate) who are seeking real-life examples of speeding up the computer vision methods’ run-time.
Author Related Publications
Khalied Mohamed Hosny, "SEMANTIC REPRESENTATION OF MUSIC DATABASE USING NEW ONTOLOGY-BASED SYSTEM", Journal of Theoretical and Applied Information Technology, 2020
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Khalied Mohamed Hosny, "Building a New Semantic Social Network Using Semantic Web-Based Techniques", ِASPG, 2021
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Khalied Mohamed Hosny, "New Graphical Ultimate Processor for Mapping Relational Database to Resource Description Framework", IEEE, 2022
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Khalied Mohamed Hosny, "Fast computation of accurate Zernike moments", Springer, 2008
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Khalied Mohamed Hosny, "Accurate Computation of QPCET for Color Images in Different Coordinate Systems", SPIE, 2017
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Department Related Publications
Ehab Roshdy Mohamed, "FOUR-PHASE PROTOCOL FOR DETECTION, DELETION, PROTECTION AND RECOVERY FROM AUTORUN VIRUS", ScienceDirect, 2018
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Khalied Mohamed Hosny, "Resilient Color Image Watermarking Using Accurate Quaternion Radial Substituted Chebyshev Moments", ACM, 2019
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Nabil Ali Mohamed Lashen, "Copy-move forgery detection of duplicated objects using accurate PCET moments and morphological operators", THE IMAGING SCIENCE JOURNAL, 2018
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Khalied Mohamed Hosny, "Novel fractional-order polar harmonic transforms for gray-scale and color image analysis", ُElsevier, 2020
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Khalied Mohamed Hosny, "Fusion of Orthogonal Moment Features for Mammographic Mass Detection and Diagnosis", Ieee, 2020
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