Showing 5,181 - 5,200 results of 25,328 for search 'research algorithm', query time: 0.24s Refine Results
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    Research on collaborative optimization of the electric-carbon joint market based on renewable energy subsidies by Peng Xia, Bo Yuan, Gang Lu, Qiuli Zhao, Fuqiang Zhang, Suyang Zhou

    Published 2025-05-01
    “…A case study based on a regional power system demonstrates the model’s effectiveness and feasibility, with the Particle Swarm Optimization (PSO) algorithm successfully converging to a near-optimal solution. …”
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    Article
  3. 5183

    CONSUMER PREFERENCE RESEARCH IN FORMING RATIONAL COMPONENT OF REGIONAL BRANDS IN THE MEAT PRODUCT MARKET by Mel'nikova E.I., Ponomareva N.V., Bogdanova E.V.

    Published 2017-03-01
    “…Three-layer neural network with 6 neurons in the input layer, 12 neurons in the inner layer and 4 neurons in the output layer according to the number of output parameters has been used. The algorithm of back-propagation errors has been applied for training the network. …”
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    Research on Virtual Color Restoration of Complex Building System Based on Discrete Wavelet Transform by Chunqiao Song, Xutong Wu

    Published 2022-01-01
    “…At present, image restoration has become a research hotspot in computer vision. The purpose of digital image restoration is to restore the lost information of the image or remove redundant objects without destroying the integrity and visual effects of the image. …”
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    Article
  7. 5187

    An Assessment of High-Order-Mode Analysis and Shape Optimization of Expansion Chamber Mufflers by Min-Chie CHIU, Ying-Chun CHANG

    Published 2014-12-01
    “…A substantial quantity of research on muffler design has been restricted to a low frequency range using the plane wave theory. …”
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    Article
  8. 5188

    APLIKASI ALGORITMA BACKTRACKING UNTUK MENENTUKAN RUTE OPTIMAL DISTRIBUSI AIR ISI ULANG GONZALO DI KOTA AMBON by Jemsry E. Lakotany, Elvinus R. Persulessy, Yopi Andry Lesnussa

    Published 2020-03-01
    “…In this research, the Backtracking algorithm is applied to search the minimum route for Gonzalo refill water distribution. …”
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    A Review of Research on Longitudinal Control of Intelligent Vehicles Based on Drive/Brake by Wire by Peicheng Shi, Xinyu Qian, Chakir Chadia, Yu Sun, Taonian Liang, Aixi Yang

    Published 2024-12-01
    “…The specific content includes five parts: first, the principles and characteristics of wire control technology and its application in intelligent vehicles are introduced; then, two commonly used longitudinal control strategies are described; then, the application of classical control technologies (such as PID, MPC, and sliding-mode control) in the longitudinal control of intelligent vehicles is discussed, including their working principles, characteristics and related research; subsequently, the AI control technology (deep reinforcement learning) is presented in the longitudinal control of intelligent vehicles, discussing its theoretical basis, the current status of algorithm research, control methods, and practical applications, etc.; finally, the paper summarizes the advantages and disadvantages of the classical control technology and AI control technology, and looks forward to the application and development prospects of these two control technologies in the control of intelligent vehicles.…”
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    Efficient quantum circuit research and implementation for 16-bit S-boxes based on composite field by Lei Zhang, Guoyuan Li, Jingchen Dai, Ruipeng Hong, Chaoen Xiao, Jianxin Wang, Yifan Zhang

    Published 2025-06-01
    “…Abstract With the development of quantum computing technology, efficiently implementing the core component S-box of block ciphers in quantum environments has become an important research direction in the field of cryptographic engineering. …”
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    AI-Driven Control Strategies for Biomimetic Robotics: Trends, Challenges, and Future Directions by Hoejin Jung, Soyoon Park, Sunghoon Joe, Sangyoon Woo, Wonchil Choi, Wongyu Bae

    Published 2025-07-01
    “…By synthesizing the latest research, this review provides a comprehensive overview of AI-driven biomimetic robot control and identifies key challenges and future research directions. …”
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