AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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This paper analyzes how technologies such as AI-driven personalization, adaptive learning systems, virtual and augmented reality, learning analytics, assistive tools, and cloud-based platforms support inclusive education.
The research evaluates several popular machine learning algorithms, including Decision Trees, Support Vector Machines, Random Forests, Naïve Bayes, Artificial Neural Networks, and k-Nearest Neighbor classifiers and demonstrates that meta-learning significantly improves model recommendation accuracy compared to traditio...
Rapid urbanization, industrialization, and aging infrastructure have increased the need for efficient monitoring systems. Traditional manual inspections of bridges, tunnels, pipelines, dams, railway tracks, and industrial facilities are costly, time-consuming, labor-intensive, and risky. Autonomous inspection robots of...
The proposed AFCS-CRM significantly improves force tracking accuracy, manipulation stability, grasp reliability, response time, energy efficiency, and human safety, and demonstrates strong potential for next-generation smart manufacturing, robotic assembly, precision surgery, warehouse automation, and assistive robotic...
Overall, intelligent robotics can significantly reduce human exposure, improve inspection quality, and enable early fault detection, while future research must focus on certifiable AI, resilient perception, and standardized benchmarking in hazardous environments.
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