Showing 301 - 320 results of 1,064 for search 'soft algorithm', query time: 0.09s Refine Results
  1. 301

    A Broyden Correction Image Reconstruction Algorithm for Electrical Capacitance Tomography System by CHEN Yu, XIA Zong-ji, LI Hong-bo, ZHOU Yu-jia

    Published 2019-06-01
    “…In electrical capacitance tomography technology, to solve the ‘soft-field’ nature and the typical ill-posed problem, a Broyden Correction image reconstruction algorithm is proposed for electrical capacitance tomography system. …”
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  2. 302
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    Application of improved and efficient image repair algorithm in rock damage experimental research by Mingzhe Xu, Xianyin Qi, Diandong Geng

    Published 2024-06-01
    “…To address this issue, this paper focuses on the restoration of image data acquired through digital image technology, leveraging deep learning techniques, and using soft and hard rocks made of similar materials as research subjects, an improved Incremental Transformer image algorithm is employed to repair distorted or missing strain nephograms during uniaxial compression experiments. …”
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  4. 304

    An Extension of Ozone Profile Retrievals from TROPOMI Based on the SAO2024 Algorithm by Juseon Bak, Xiong Liu, Gonzalo González Abad, Kai Yang

    Published 2025-02-01
    “…An optimal estimation retrieval algorithm, originally developed for the Ozone Monitoring Instrument (OMI), was extended as a preliminary step toward integrating multiple satellite ozone profile datasets. …”
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    Article
  5. 305

    Vehicle maneuver recognition and correction algorithm for road quality measurement system optimization by Roland Nagy, István Szalai

    Published 2025-04-01
    “…We introduce a novel, computationally efficient soft-sensor algorithm that detects and isolates aggressive maneuvers using sensor data from existing road quality measurement systems, classifying them into four categories. …”
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    Application of Multi-Strategy Controlled Rime Algorithm in Path Planning for Delivery Robots by Haokai Lv, Qian Qian, Jiawen Pan, Miao Song, Yong Feng, Yingna Li

    Published 2025-07-01
    “…This research addresses the robot path planning problem, aiming to enhance delivery efficiency and reduce operational costs through systematic improvements to the RIME optimization algorithm. Through in-depth analysis, we identified several major drawbacks in the standard RIME algorithm for path planning: insufficient global exploration capability in the initial stages, a lack of diversity in the hard RIME search mechanism, and oscillatory phenomena in soft RIME step size adjustment. …”
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  8. 308

    Outlier Detection of Photovoltaic Power Generation System Data Based on GMM-IF Algorithm by Xin Li, Guoxin Du, Yuman Li, Zengqiang Ma, Lihu Liu, Minglong Jiang, Feiyu Liu, Tianming Mu

    Published 2025-01-01
    “…Under different operating conditions and actual photovoltaic array datasets, comparative experiments were conducted using different evaluation metrics and algorithms to verify the effectiveness and superiority of the GMM-IF algorithm. …”
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    Simultaneous Optimization of Network Reconfiguration and Soft Open Points Placement in Radial Distribution Systems Using a Lévy Flight-Based Improved Equilibrium Optimizer by Ridha Djamel Mohammedi, Djamal Gozim, Abdellah Kouzou, Mustafa Mosbah, Ahmed Hafaifa, Jose Rodriguez, Mohamed Abdelrahem

    Published 2024-11-01
    “…This research paper focuses on the application of a new method for the simultaneous reconfiguration and the optimum placing of Soft Open Points (SOPs) in Radial Distribution Systems (RDS). …”
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  20. 320

    Improving Malaria diagnosis through interpretable customized CNNs architectures by Md. Faysal Ahamed, Md Nahiduzzaman, Golam Mahmud, Fariya Bintay Shafi, Mohamed Arselene Ayari, Amith Khandakar, M. Abdullah-Al-Wadud, S. M. Riazul Islam

    Published 2025-02-01
    “…To address these challenges, we employed several customized convolutional neural networks (CNNs), including Parallel convolutional neural network (PCNN), Soft Attention Parallel Convolutional Neural Networks (SPCNN), and Soft Attention after Functional Block Parallel Convolutional Neural Networks (SFPCNN), to improve the effectiveness of malaria diagnosis. …”
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