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A Fast Logdet Divergence Based Metric Learning Algorithm for Large Data Sets Classification
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A DQN-Based Algorithm for Operational Optimization of Freight Trains in Long Steep Downhill Sections
Published 2024-08-01“…The study employed the batch collection of training samples utilizing experience replay and a double-network mechanism, along with the preprocessing of neural network state inputs, and the investigation into feasible regions within the action space using a variable ε-greedy strategy. …”
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Research Overview on Urban Heat Islands Driven by Computational Intelligence
Published 2024-12-01Get full text
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Multi-fault Repair and Optimization Strategy of Distribution Network Based on Fault Adjacency State
Published 2023-03-01Get full text
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146
Exploring the Possibilities of Implementing the ALS-Based 3-30-300 Concept for Urban Green Space Management in Small Municipalities
Published 2025-02-01“…This study examines the applicability of the 3-30-300 rule in five medium-sized Polish municipalities. The rule states that residents should be able to see at least three trees from their homes, neighborhoods should have at least 30% tree canopy coverage, and public green spaces should be within 300 m. …”
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147
State of Charge Estimation on Lithium-Ion Batteries Using Particle Swarm Optimization Method
Published 2025-04-01“…It is hoped that the results of this research can become a basis for further research in the field of battery management and metaheuristic algorithm optimization. …”
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A State-of-the-Art Survey on Advanced Electromagnetic Design: A Machine-Learning Perspective
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Multi-UAV Path Planning for Air-Ground Relay Communication Based on Mix-Greedy MAPPO Algorithm
Published 2024-11-01“…This paper explores the path planning problem in multi-UAV-to-ground relay communication, with a special focus on the application of the proposed Mix-Greedy MAPPO algorithm. The state space, action space, communication model, training environment, and reward function are designed by comprehensively considering the actual tasks and entity characteristics such as safe distance, no-fly zones, survival in a threatened environment, and energy consumption. …”
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A multiobjective evolutionary algorithm incorporating neighborhood detection for the vehicle routing problem with soft time windows
Published 2025-08-01“…The experimental results show that, compared to six state-of-the-art algorithms specifically designed for VRPSTWs, MOEAND achieves superior performance, highlighting its potential as an efficient and effective algorithm for solving VRPSTWs.…”
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Algorithms for U-Model-Based Dynamic Inversion (UM-Dynamic Inversion) for Continuous Time Control Systems
Published 2020-01-01“…To setup a universal proper user toolbox from previous individual research publications, this study generalises the algorithms for the U-model dynamic inversion based on the realisation of U-model from polynomial and state-space described continuous-time (CT) systems and presents the corresponding U-control system design in a systematic procedure. …”
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Application of sliding mode variable structure control algorithm in PMSM vector control system in complex environment.
Published 2024-01-01“…Firstly, a traditional sliding mode exponential approximation law control model and a state space and control function are constructed based on sliding mode control. …”
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A two phase differential evolution algorithm with perturbation and covariance matrix for PEMFC parameter estimation challenges
Published 2025-03-01“…The effectiveness of PCM-DE is validated against nine state-of-the-art algorithms, including TDE, PSO-sono, CS-DE, jSO, EDO, LSHADE, HSES, E-QUATRE, and EA4eig, through the parameter estimation of six PEMFC stacks—BCS 500 W, Nedstack 600 W PS6, SR-12 W, Horizon H-12, Ballard Mark V, and STD 250 W. …”
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Research on simulation of permanent magnet synchronous motor in full speed range.
Published 2025-01-01Get full text
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159
The impact of quantum circuit architecture and hyperparameters on variational quantum algorithms exemplified in the electronic structure of the GaAs crystal
Published 2025-05-01“…Abstract Variational Quantum Algorithms (VQAs) provide a promising framework for solving electronic structure problems using the computational capabilities of quantum computers to explore high-dimensional Hilbert spaces efficiently. …”
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