Abstract: The existing zoning collaborative control method cannot efficiently adapt to dynamic changes in traffic flow due to the fixed functional zoning of road segments. This study proposes the ...
To address the issues of strong subjectivity and difficulty in feature extraction that are inherent to traditional frequency response analysis methods used for diagnosing transformer winding ...
This study develops a unified framework for optimal portfolio selection in jump–uncertain stochastic markets, contributing both theoretical foundations and computational insights. We establish the ...
ABSTRACT: We make more specific initial contributions of prior work w.r.t. Tokamaks, relic black holes, and a relationship between a massive graviton particle count and quantum number n, and also add ...
The objective of the 3D-SCALO problem is to assign the given components to optimal mounting surfaces and position them at the best locations, while satisfying the requirements for (1) heat dissipation ...
Abstract: Stacking the mass block (MB) is a key process in maintaining the operation of a gravity energy storage system (GESS), and the energy consumption during this process directly affects the ...
ABSTRACT: Offline reinforcement learning (RL) focuses on learning policies using static datasets without further exploration. With the introduction of distributional reinforcement learning into ...
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