Graph-Attention AI Teaches Drone Swarms to Optimize Communication Networks
A new simulation study presents a graph attention-based multi-agent reinforcement learning framework that jointly optimizes drone swarm trajectories, transmission power, ...
A new simulation study presents a graph attention-based multi-agent reinforcement learning framework that jointly optimizes drone swarm trajectories, transmission power, ...
A simulation study reports that an AI-managed electric vehicle charging hub combining solar power, battery storage, LSTM demand forecasting and ...
A simulation study shows a safety-constrained nonlinear model predictive controller can keep a virtual autonomous vehicle within road boundaries during ...
A simulation study reports that an Adaptive Tunicate Swarm Optimized Random Forest achieved higher power generation forecasting accuracy than LGBM ...
Researchers have introduced Sapling, a computational method that summarizes the many equally plausible tumor phylogenies inferred from bulk DNA sequencing ...
A large simulation study shows the heuristic shrinkage factor commonly used to correct overfitting in logistic regression prediction models is ...
Infectious disease outbreaks are among the most serious threats facing aquaculture, where fish share tanks and cages and water flow ...
A new parametric multistate survival model jointly handles shared frailty and double censoring, showing better accuracy in simulations and an ...
Researchers have developed a generalized Nelson–Aalen estimator that targets hypothetical estimands via the controlled direct effect when time-to-event intercurrent events ...
A tabletop translational simulation at an Italian children's hospital found that all five plausible escape routes were completed before the ...
© 2025 Scienmag - Science Magazine
© 2025 Scienmag - Science Magazine