Aerospace and Mechanical Insider on MSN
Multi-agent reinforcement learning driving smart factory agility
At the core of Industry 4.0, the smart factory integrates automation, mass customization, and self-organization into a highly ...
Arbor separates strategy from execution using isolated git worktrees, so engineering teams can finally trace which ...
Abstract: To investigate the mapping relationship between sensory evaluation and flavor components of Baijiu, and to enable the prediction of sensory scores based on flavor composition for driving ...
In the field of multi-objective evolutionary optimization, prior studies have largely concentrated on the scalability of objective functions, with relatively less emphasis on the scalability of ...
1 School of Aeronautics and Astronautics, Sun Yat-sen University, Guangzhou, China. 2 School of Science and Technology, Hunan University of Technology, Zhuzhou, China. To address the multicoupling ...
Abstract: Railway timetable planners often face the challenge of aligning ideal timetables with limited vehicles and fluctuating capacity needs during their tactical planning phases. To address this, ...
Modern seismic codes ensure life safety, but code-compliant buildings can still suffer significant economic losses from earthquake-induced damage, even during moderate events. Performance-Based ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results