Synchronization, Optimization, and Adaptation of Machine Learning Techniques for Computer Vision in Cyber-Physical Systems: A Comprehensive Analysis Article Swipe

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Kai Tang , Mohamed Chahine Ghanem , Pawel Gasiorowski , Vassil Vassilev , Karim Ouazzane ·

YOU? · · 2025 · Open Access · · DOI: https://doi.org/10.20944/preprints202501.0521.v3

Cyber-Physical Systems (CPS) seamlessly integrate computers, networks, and physical devices, enabling machines to communicate, process data, and respond to real-world conditions in real time. By bridging the digital and physical worlds, CPS ensures operations that are efficient, safe, innovative, and controllable. As smart cities and autonomous machines become more prevalent, understanding CPS is crucial for driving future progress. Recent advancements in edge computing, AI-driven vision, and collaborative systems have significantly enhanced CPS capabilities. synchronisation, optimisation, and adaptation are intricate processes that impact CPS performance across different domains. Therefore, identifying emerging trends and uncovering research gaps is essential to highlight areas that require further investigation and improvement. This systematic review and analysis aims to offer a unique point to researchers and facilitates this process by allowing researchers to benchmark and compare various techniques, evaluate their effectiveness, and establish best practices. It provides evidence-based insights into optimal strategies for implementation while addressing potential trade-offs in performance, resource usage, and reliability. Additionally, such reviews help identify widely accepted standards and frameworks, contributing to the development of standardised approaches.

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Computer Science

Artificial Intelligence

Machine Learning

Human–Computer Interaction

Neuroscience

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Adaptation (eye) Synchronization (alternating current) Cyber-physical system Computer science Artificial intelligence Machine learning Human–computer interaction Psychology Telecommunications Neuroscience Operating system Channel (broadcasting)

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Type: article
Language: en
Landing Page: https://doi.org/10.20944/preprints202501.0521.v3
PDF: https://www.preprints.org/frontend/manuscript/46ec18d5a84a24aac59cbac60a008e40/download_pub
OA Status: green
Related Works: 10
OpenAlex ID: https://openalex.org/W4413364796

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OpenAlex ID: https://openalex.org/W4413364796

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DOI: https://doi.org/10.20944/preprints202501.0521.v3

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Title: Synchronization, Optimization, and Adaptation of Machine Learning Techniques for Computer Vision in Cyber-Physical Systems: A Comprehensive Analysis

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Type: article

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Language: en

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Publication year: 2025

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Publication date: 2025-08-19

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Authors: Kai Tang, Mohamed Chahine Ghanem, Pawel Gasiorowski, Vassil Vassilev, Karim Ouazzane

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Landing page: https://doi.org/10.20944/preprints202501.0521.v3

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PDF URL: https://www.preprints.org/frontend/manuscript/46ec18d5a84a24aac59cbac60a008e40/download_pub

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Concepts: Adaptation (eye), Synchronization (alternating current), Cyber-physical system, Computer science, Artificial intelligence, Machine learning, Human–computer interaction, Psychology, Telecommunications, Neuroscience, Operating system, Channel (broadcasting)

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