MIT researchers have identified significant examples of machine-learning model failure when those models are applied to data ...
The last time we did comparative tests of AI models from OpenAI and Google at Ars was in late 2023, when Google’s offering ...
With the wide application of UAVs in modern operations, efficient cooperative task assignment of heterogeneous UAVs under complex constraints has ...
Step inside the world of dark stores and smart logistics that once delivered groceries to homes in just ten minutes, showing ...
The study addresses heterogeneous UAV cooperative task assignment under complex constraints via an energy learning ...
After years of butting up against an all-white Boston School Committee that refused their demands, Black activists took the ...
The Union government sees the four Labour Codes, which were implemented recently, as a solution to the problems of gig ...
Objective: To develop an auxiliary diagnostic tool for schizophrenia based on multiple test variables using different machine learning algorithms. Results: Arg, TP, ALP, HDL, UA, and LDL were ...
Abstract: The challenge of maneuvering target tracking lies in the difficulty of handling the uncertainty of target motion types and the uncertainty of maneuvering parameters simultaneously. In this ...
Abstract: The manufacturing industry encounters numerous optimization problems, one of which is the optimization of storage location assignment (OSLA) problem in logistics. OSLA is a combinatorial ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback