Results 111 to 120 of about 139,550 (318)
The power of intuition in decision-making under operational stress
The decision-making process represents one of the most interesting subjects in the field of cognitive sciences, as it is a concept that requires a complex multi- and interdisciplinary approach.
Cătălin-Constantin CĂLIN
doaj +1 more source
Ternary content addressable memory based on InGaZnO transistors is fabricated and its performance is evaluated through simulations for various distance‐based computing applications. Due to its high areal density, enhanced switching characteristics, and uniformity compared to other data similarity‐computing hardware candidates, the proposed memory is
Hyeong Jun Seo +5 more
wiley +1 more source
Proving the correctness of heuristically optimized code [PDF]
Hanan Samet
openalex +1 more source
MO‐hHHO: Multi‐Objective Hybrid Harris Hawks Optimization for Prediction of Coronary Artery Disease
This article proposes a novel Multi‐Objective hybrid Harris Hawks Optimization (MO‐hHHO) algorithm for simultaneous feature selection and hyperparameter tuning in heart disease classification. The approach leverages adaptive exploration‐exploitation strategies to enhance convergence efficiency.
Anu Ragavi Vijayaraj +1 more
wiley +1 more source
Herein, a deep reinforcement learning‐based multi‐UAV formation control approach is proposed. By optimizing the utilization of historical data through correcting of offline samples, the past experience is better leveraged and learning performance is improved.
Zhongkai Chen +4 more
wiley +1 more source
This study addresses multiagent defense challenges against low‐cost swarm attacks through a hierarchical framework combining resource allocation and PPO optimization. The three‐layer architecture coordinates strategic planning, deployment optimization, and real‐time execution.
Xiaokai Fei +2 more
wiley +1 more source
Portfolio Selection: A Heuristic Approach
Geoffrey P. E. Clarkson +1 more
openalex +2 more sources
This work harnesses nonidealities in analog in‐memory computing (IMC) by training physical neural networks modeled with ordinary differential equations. A differentiable spike‐time discretization accelerates training by 20× and reduces memory usage by 100×, enabling large IMC‐equivalent models to learn the CIFAR‐10 dataset.
Yusuke Sakemi +5 more
wiley +1 more source
A heuristic approach to scheduling assignments for the purpose of evaluating school floorplans [PDF]
William S. Bregar
openalex +1 more source
Enhancing Microrobot Swarm Stability and Adaptation by Autonomous Field‐of‐View Planning
This work presents an adaptive cross‐field‐of‐view navigation strategy for microrobot swarms in large‐scale workspaces by integrating global path planning via A* and local replanning using optimized informed rapidly‐exploring random tree star . The hybrid approach ensures efficient and robust trajectory execution in dynamic environments, enhancing the ...
Zhaowen Su +3 more
wiley +1 more source

