AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
We have 4 of 4 papers
We haven’t gathered this author’s papers yet. Follow them and we’ll fetch their work.
Not the right person? Other researchers publish under this name.
A Lightweight Transformer-Fourier Fusion Framework for Efficient Image Super-Resolution, designed to integrate the long-range dependency modeling capability of transformers with the frequency-domain representation advantages of Fourier-based feature processing.
An IoT aligned architecture of agriculture is suggested with multi-layer sensing of soil-crop-climate variables, edge intelligence of low-latency actuation, and cloud analytics of model training and farm-level optimization and viable suggestions towards scalable deployment are given.
Analytical findings indicate that adaptive multi-agent coordination can improve resource utilization, reduce the impact of localized failures, and support scalable stream processing when compared conceptually with rigid centralized allocation.
The analysis indicates that machine learning can shift test automation from static execution toward adaptive quality intelligence, however, model drift, insufficient representative test data, explainability, false positives, computational overhead, and continuous maintenance remain significant constraints.
We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.