Showing 401 - 420 results of 15,618 for search 'computing optimizing 4', query time: 0.24s Refine Results
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    Optimization Methods for the Cylinder Mouth Structure of Type IV On-board Hydrogen Storage Cylinder under Various Influencing Factors by Zhang Enhui, Wang Zhiqiang, Shi Xiaolong, Zhao Yangchun, Zhang Jiahui, Liu Tao, Wang Wenchao

    Published 2025-01-01
    “…This research investigates factors affecting the sealing reliability of Type IV hydrogen cylinder mouths under high-pressure fast-refueling conditions. …”
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    GA4RF: An Effective Fall Detection System Through Optimizing Random Forest Hyperparameters Using Genetic Algorithm With Mobile Sensor Data by Ha-Nam Nguyen, Hong-Lam Le, Ngo-Thi-Thu-Trang, Duc-Nhan Nguyen

    Published 2025-01-01
    “…In this paper, we introduce a Genetic Algorithm (GA) based Random Forest (RF) method, named GA4RF, to enhance the accuracy of fall detection models by optimizing their hyperparameters. …”
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    End-to-End Optimization for a Compact Optical Neural Network Based on Nanostructured 2 × 2 Optical Processors by Caiyue Zhao, Jiguang Wang, Simei Mao, Xuanyi Liu, Wai Kin Victor Chan, H. Y. Fu

    Published 2023-01-01
    “…The proposed optical neural network is composed of five linear layers including ten optical processors in each layer, and nonlinear activation functions. 2 &#x00D7; 2 optical processors are designed based on digitized meta-structures which have an extremely compact footprint of 1.6 &#x00D7; 4 &#x03BC;m<sup>2</sup>. A brand-new end-to-end design strategy based on Deep Q-Network is proposed to optimize the optical neural network for classifying a generated ring data set with better generalization, robustness, and operability. …”
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    Implementation of Autonomous Navigation for Solar-Panel-Cleaning Vehicle Based on YOLOv4-Tiny by Wen-Chang Cheng, Xu-Dong Chen

    Published 2025-04-01
    “…The system utilizes the YOLOv4-Tiny object detection model to detect white lines on the solar panels and combines the model with a proportional–integral–derivative (PID) controller to achieve autonomous navigation functionality. …”
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