Aerospace and Mechanical Insider on MSN
Explorative PSO for drone swarms in occluded target tracking
In complex environments such as dense forests, detecting and tracking moving targets presents significant challenges due to ...
In recent years, the frequency of weather-related natural disasters—cyclones, torrential rains, floods—has increased as a consequence of global warming. These disasters cause billions of dollars in ...
Black-box optimization, particularly Bayesian optimization, is a practical approach for weather-intervention design, achieving meaningful rainfall ...
Abstract: Wireless Sensor Networks (WSNs) have found its place in Internet of Things (IoT) implementations as in the monitoring and data collection involved in dynamic environments in real time.
Abstract: The decomposition number $K$ and penalty factor $\alpha $ in the variational mode decomposition (VMD) algorithm have a great influence on the decomposition ...
A deep reinforcement learning framework optimizes silicon-based photonic crystal fiber modulators, achieving ultra-low ...
Tech Xplore on MSN
Spintronic hardware unlocks faster, lower-energy optimization, outpacing tested quantum annealers
Solving complex optimization problems is central to many modern technologies, from logistics and financial modeling to chip ...
Aerospace and Mechanical Insider on MSN
University of Houston advances adaptive drone swarm control
The rapid proliferation of affordable unmanned aerial systems has enabled their deployment in fields ranging from ...
Five independent security disclosures in a single week point to the same gap: AI agent permissions, not AI agent capabilities, are the problem enterprises haven’t solved. If you can only read one tech ...
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