More engineers are turning to reinforcement learning to incorporate adaptive and self-tuning control into industrial systems. It aims to strike a balance between traditional ...
Many engineering challenges come down to the same headache—too many knobs to turn and too few chances to test them. Whether tuning a power grid or designing a safer vehicle, each evaluation can be ...
A Hybrid Machine Learning Framework for Early Diabetes Prediction in Sierra Leone Using Feature Selection and Soft-Voting Ensemble ...
Abstract: This paper proposes a direction finding system for detecting drones or unmanned aerial vehicles (UAVs) based on radio signals. The proposed direction finding system consists of four uniform ...
Machine learning is an essential component of artificial intelligence. Whether it’s powering recommendation engines, fraud detection systems, self-driving cars, generative AI, or any of the countless ...
Abstract: Handover (HO) is a fundamental process in cellular networks (CNs) that ensures continuous connectivity as users move across different coverage areas. With the evolution of mobile ...
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