Showing 1,261 - 1,280 results of 3,870 for search 'edge process', query time: 0.11s Refine Results
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    Graph Neural Networks for Digital Pathology by Vincenzo DELLA MEA, Hafsa AKEBLI, Kevin ROITERO

    Published 2025-05-01
    “…The graph learning tasks can be either node-level, edge-level or graph-level. GNNs are well-suited for analyzing data such as social networks, molecular structures, and medical images, capturing both local and global patterns. …”
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    Comparison of Recognition Techniques to Classify Wear Particle Texture by Mohammad Laghari, Ahmed Hassan, Mahmoud Haggag, Addy Wahyudie, Motaz Tayfor, Abdallah Elsayed

    Published 2025-05-01
    “…This study proposes an automated framework to classify four standard wear particle textures—rough, striated, pitted, and fatigued—using artificial neural networks (ANNs) combined with advanced image processing techniques. Images acquired via Charged-Coupled Device (CCD) microscopy were preprocessed using sharpening, histogram stretching, and four edge detection algorithms: Sobel, Laplacian, Boie–Cox, and Canny. …”
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    Electromyography Signal Acquisition, Filtering, and Data Analysis for Exoskeleton Development by Jung-Hoon Sul, Lasitha Piyathilaka, Diluka Moratuwage, Sanura Dunu Arachchige, Amal Jayawardena, Gayan Kahandawa, D. M. G. Preethichandra

    Published 2025-06-01
    “…This review presents a comprehensive analysis of the EMG signal processing pipeline tailored to exoskeleton applications, spanning signal acquisition, noise mitigation, data preprocessing, feature extraction, and control strategies. …”
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    Comparative Analysis of AlexNet, ResNet-50, and VGG-19 Performance for Automated Feature Recognition in Pedestrian Crash Diagrams by Baraah Qawasmeh, Jun-Seok Oh, Valerian Kwigizile

    Published 2025-03-01
    “…This study tackles these issues by introducing innovative image-processing techniques to analyze crash diagrams. By employing cutting-edge technological methods, the research aims to uncover and extract hidden features from pedestrian crash data in Michigan, thereby enhancing the understanding and prevention of such incidents. …”
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    Thin‐film event‐based vision sensors for enhanced multispectral perception beyond human vision by Kexin Li, Xiaoting Wang, Yi Wu, Wenjie Deng, Jing Li, Jingjie Li, Yuehui Zhao, Zhijie Chen, Dezhen Yang, Songlin Yu, Yongzhe Zhang

    Published 2025-07-01
    “…With a thin‐film sensor array, these spiking signals accurately extract fingerprint edge features even under low‐light conditions, benefiting from high sensitivity to minor luminance variations. …”
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    Designing green robots with environmental sustainability by applying the concept of multi-criteria decision making by V. Sathiya, S. Mahalakshmi, S. Ramabalan, M. Chinnadurai

    Published 2025-07-01
    “…Abstract To ensure environmental sustainability, cutting-edge technologies and market-oriented products are made eco-friendly. …”
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    Order assignment mechanism based on hierarchical decomposition and element matching by ZHANG Xinyue, LYU Weimin, WEI Dingjiang, YANG Dongsheng

    Published 2025-06-01
    “…It then utilizes mission adaptive analysis and a two-phase process optimization to achieve the optimal matching of the aggregation of underlying operations to sub-tasks and accusation sites. …”
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    Microscopic pore and fracture evolution characteristics and influencing factors during imbibition process of shale reservoirs: a case study of the first section of the first member... by Ji'an QIAN, Yuqiang JIANG, Tongtong LUO, Yixiao YANG, Yonghong FU, Weiming CHEN, Chaoya SUN, Zhanlei WANG

    Published 2024-11-01
    “…Argon ion polishing and field-emission scanning electron microscopy (FE-SEM) experiments were conducted at fixed sites to observe the evolution pattern of microscopic pores and fractures in shale reservoirs at various stages of water imbibition process. The findings revealed: (1) After water imbibition for 7 days, organic pores at the edges of organic matter exhibited varying degrees of reduction, while the internal pore shapes and sizes remained largely unchanged. (2) Intragranular dissolution pores and intergranular pores exhibited noticeable dissolution effects, resulting in mineral particle dissolution and detachment, which increased the leakage area for shale gas. (3) The water imbibition did not induce a significant amount of new micro-fractures. …”
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    Overview of RPA technologies by A. Troianovska, Ye. Batrak, N. Tsopa

    Published 2023-12-01
    “…It is anticipated that RPA's functionality and capacities will continue increasing over time, and that RPA will be integrated with a variety of cutting-edge technologies, elevating business process automation to new heights. …”
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    METAHEURISTIC-DRIVEN MULTI OBJECTIVE FIR FILTER DESIGN FOR ECG DENOISING by Mehmet Fatih Karakaş, Fatma Latifoğlu

    Published 2025-06-01
    “…Digital signal processing in biomedical applications requires advanced filtering techniques that can simultaneously optimize multiple performance criteria. …”
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    Radiomic Feature Extraction Based on Computed Tomography for Stroke Patients by Alamgir Hossain, Jolly Sultana, Shahed Hossain, Hafizur Rahman

    Published 2025-04-01
    “…Conclusion: In summary, stroke imaging analysis benefits greatly from the deployment of complex image processing techniques, reliable feature extraction methods, and cutting-edge segmentation algorithms. …”
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