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    Variational Autoencoder Based Anomaly Detection in Large-Scale Energy Storage Power Stations by Tuo Ji, Pinghu Xu, Dongliang Guo, Lei Sun, Kangji Ma, Yanan Wang, Xuebing Han

    Published 2025-05-01
    “…Compared to classical machine learning algorithms such as Isolation Forest and Support Vector Machine, the detection performance of the VAE-based model demonstrates superiority, indicating its practical value and research significance.…”
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    Mobile robot path planning using deep deterministic policy gradient with differential gaming (DDPG-DG) exploration by Shripad V. Deshpande, Harikrishnan R, Babul Salam KSM Kader Ibrahim, Mahesh Datta Sai Ponnuru

    Published 2024-01-01
    “…The DDPG algorithm supports continuous state and action spaces, resulting in smoother, non-jerky movements and improved control over the turns when navigating obstacles. …”
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    Energy Trading in Local Energy Markets: A Comprehensive Review of Models, Solution Strategies, and Machine Learning Approaches by Sania Khaskheli, Amjad Anvari-Moghaddam

    Published 2024-12-01
    “…This classification examines various algorithms for energy transactions considering the agent type, learning methods, policy, state space, action space, and action selection for state, action, and reward function outputs. …”
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    Screening of multi deep learning-based de novo molecular generation models and their application for specific target molecular generation by Yishu Wang, Mengyao Guo, Xiaomin Chen, Dongmei Ai

    Published 2025-02-01
    “…With the development of deep learning techniques for the de novo generation of molecules, also known as inverse molecular design, the increasingly widespread application of various types of deep learning algorithms has led to revolutionary changes in de novo molecular generation research. …”
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    STRATEGIC MANAGEMENT OF THE ECONOMIC SUSTAINABILITY OF A COMPANY IN THE PARADIGM OF FUZZY LOGIC by Yu. A. Malyukov, A. O. Nedosekin, Z. I. Abdoulaeva

    Published 2023-12-01
    “…More generally, in the ‘resilience – efficiency’ space, the domain of stable states of the enterprise is described by a fuzzy parabolic R lens. …”
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    Estrategia de control para robots manipuladores con realimentación visual y plataforma electro-neumática de 3gdl // Control Scheme for robots manipulators visual servoingand 3DOF e... by René González-Rodríguez, Luís Hernández-Santana, Eduardo Izaguirre, Ernesto Rubio

    Published 2011-08-01
    “…Experimental results confirm the expected step response in the task space. The control scheme presented opens a new research field in the task space control with algorithms for the solution of, trajectory control and feed-forward control.…”
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    Architecture-aware minimization (A2M): how to find flat minima in neural architecture search by Matteo Gambella, Fabrizio Pittorino, Manuel Roveri

    Published 2025-01-01
    “…A ^2 M consistently improves generalization over state-of-the-art DARTS-based algorithms on benchmark datasets including CIFAR-10, CIFAR-100, and ImageNet-16-120, across both NAS-Bench-201 and DARTS search spaces. …”
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