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Research shows that Human–AI collaboration can improve performance by 25–60% in terms of efficiency, accuracy, and user satisfaction, and future directions include developing ethical AI, adaptive interfaces, and advanced hybrid intelligence systems.
The study concludes that hybrid sensor networks are essential for future autonomous robotic systems, with future research focusing on deep reinforcement learning, cloud robotics, edge computing, cognitive navigation, and IoRT-based architectures.
The paper is a systematic and multifaceted review of the new trends in cyber-physical security of smart factories, and looks at the threat landscapes, attack vectors, architecture weaknesses, and intersection of the information technology (IT) and operational technology (OT) worlds.
The analysis indicates that combining predictive defect-risk scores with automated test selection can potentially reduce redundant testing, concentrate computational resources on high-risk software components, and improve feedback speed, but model reliability depends on historical defect data, feature quality, distribu...
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