Results 211 to 220 of about 311,541 (231)
Scalable reinforcement learning for large-scale coordination of electric vehicles using graph neural networks. [PDF]
Orfanoudakis S +4 more
europepmc +1 more source
Elastic Fast Marching Learning from Demonstration
This article presents Elastic Fast Marching Learning (EFML), a novel approach for learning from demonstration that combines velocity‐based planning with elastic optimization. EFML enables smooth, precise, and adaptable robot trajectories in both position and orientation spaces.
Adrian Prados +3 more
wiley +1 more source
An integrated multi-criteria decision-making model for long-term planning of UAVs in disaster management. [PDF]
Bakir ME, Kasimoglu F.
europepmc +1 more source
This study presents a new sampling‐based model predictive control minimizing reverse Kullback‐Leibler divergence to quickly find a local optimum. In addition, a modified Nesterov's acceleration method is introduced for faster convergence. The method is effective for real‐time simulations and real‐world operability improvement on a force‐driven mobile ...
Taisuke Kobayashi, Kota Fukumoto
wiley +1 more source
A new simulated annealing algorithm for simultaneous open-pit and waste dump scheduling in mining complexes. [PDF]
Lin J, Asad MWA, Topal E, Chang P.
europepmc +1 more source
Legged robots have advanced in environmental interaction through contact, but most works rely on fixed contact sequences. This work presents a new method based on an indirect optimization method for legged robots to automatically generate contact sequences for complex movements.
Yaowei Chen, Jie Zhang, Ming Lyu
wiley +1 more source
Optimizing Cold Food Supply Chains for Enhanced Food Availability Under Climate Variability. [PDF]
Hernandez-Cuellar D +2 more
europepmc +1 more source
Large‐scale Hopfield neural networks (HNNs) for associative computing are implemented using vertical NAND (VNAND) flash memory. The proposed VNAND HNN with the asynchronous update scenario achieve robust image restoration performance despite fabrication variations, while significantly reducing chip area (≈117× smaller than resistive random‐access ...
Jin Ho Chang +4 more
wiley +1 more source
Integrating Nurse Preferences Into AI-Based Scheduling Systems: Qualitative Study. [PDF]
Renggli FJ +4 more
europepmc +1 more source
Real‐Time and Rapid Dynamic Missile Identification Utilizing a TiOx Memristor Array
Real‐time missile target identification is demonstrated using an artificial intelligence model based on step‐weighted long–short‐term memory networks and a TiOx memristor array. The approach classifies five projectile types with enhanced early‐stage prediction through data augmentation and custom training strategies. Achieving 94.4% accuracy, the model
Mingyu Kim, Gwanyeong Park, Gunuk Wang
wiley +1 more source

