A normative computational model of individual differences in mouse exploration driven by reward and threat uncertainty as well as risk sensitivity when faced with a novel object in an open field.
Based on the previously established evaluation criteria—color, taste, fruit shape, price, and seed presence—this study selected four common table grape cultivars that are widely distributed and highly ...
Abstract: To improve building energy efficiency and reduce the impact of scheduling uncertainty, a low-carbon optimization method for intelligent buildings based on deep reinforcement learning ...
Shi, B. , Gou, Z. and Tan, J. (2025) Optimizing Pulsatile Energy Consumption in Blood Pumps with PSO. Open Journal of Applied ...
Five federally funded AI institutes provide a backbone for agriculture-focused AI research. The grand challenge facing global ...
Abstract: Since Industry 5.0 emphasizes that manufacturing enterprises should raise awareness of social contribution to achieve sustainable development, more and more meta-heuristic algorithms are ...
This repository provides a solution to the standard Capacitated Vehicle Routing Problem with Time Windows (CVRPTW). In a CVRPTW, we aim to optimize the routes of a fleet of vehicles serving customers ...
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