Showing 1,041 - 1,060 results of 3,870 for search 'edge process', query time: 0.11s Refine Results
  1. 1041

    Improved salp swarm algorithm based optimization of mobile task offloading by Aishwarya R., Mathivanan G.

    Published 2025-05-01
    “…Background The realization of computation-intensive applications such as real-time video processing, virtual/augmented reality, and face recognition becomes possible for mobile devices with the latest advances in communication technologies. …”
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    Article
  2. 1042

    Embedded Hardware-Efficient FPGA Architecture for SVM Learning and Inference by B. B. Shabarinath, Muralidhar Pullakandam

    Published 2025-01-01
    “…Edge computing allows to do AI processing on devices with limited resources, but the challenge remains high computational costs followed by the energy limitations of such devices making on-device machine learning inefficient, especially for Support Vector Machine (SVM) classifiers. …”
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    Article
  3. 1043

    Investigation on interlaminar shear strength properties of disc laser machined consolidated CF-PPS laminates

    Published 2011-03-01
    “…In consequence of an increased interest in using endless carbon fibre reinforced thermoplastic composites (TPC), automated and highly productive processing technologies for cutting and trimming steps of consolidated materials are sought. …”
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    Article
  4. 1044
  5. 1045

    FastGEMF: Scalable High-Speed Simulation of Stochastic Spreading Processes Over Complex Multilayer Networks by Mohammad Hossein Samaei, Faryad Darabi Sahneh, Caterina Scoglio

    Published 2025-01-01
    “…This study introduces FastGEMF, a novel, scalable simulation framework for exact, high-speed modeling of Markov chain processes on complex multi-layer networks. Inspired by the Gillespie algorithm and optimized for efficiency, FastGEMF achieves logarithmic time complexity per event, enabling simulations on networks with millions of nodes and edges without sacrificing accuracy. …”
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    Article
  6. 1046

    Research on multi-objective topology optimization of unmanned sightseeing vehicle frame based on Analytic Hierarchy Process by Pei Tang, Weikai Xu, Zhenyu Ding, Minnan Jiang, Mao Lv

    Published 2024-10-01
    “…To optimize the frame of a sightseeing vehicle, this paper proposes a multi-objective topology optimization method combining Analytic Hierarchy Process (AHP) and topology optimization. Firstly, the edges of the unmanned sightseeing car are statically analyzed. …”
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    Article
  7. 1047
  8. 1048
  9. 1049

    Accurate Extraction of Rural Residential Buildings in Alpine Mountainous Areas by Combining Shadow Processing with FF-SwinT by Guize Luan, Jinxuan Luo, Zuyu Gao, Fei Zhao

    Published 2025-07-01
    “…Building upon this, the Feature Fusion Swin Transformer (FF-SwinT) model was constructed by optimizing the data processing, loss function, and multi-view feature fusion. …”
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  10. 1050

    Heuristic modeling of the process of milling aviation parts with opposed end mills by synthesis of a predictive model by E. A. Shestakova, V. O. Ievlev, R. M. Yanbaev

    Published 2025-04-01
    “…The process under study is described by the appropriate physical quantities. …”
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    Article
  11. 1051

    Enhancing melt foam stability, form-filling process, and pore structure evolution of shaped aluminum foam by Tan Wang, Xiaoqing Zuo, Jianhong Yi, Yun Zhou, Xiaoxu Luo, Shibing Guo, Wenkai Song

    Published 2024-11-01
    “…The melt foam exhibits a smooth flow from the lower part of the mold to the corners, completing the filling process with well-defined edges in the profile. During lateral movement for filling, a gradual increase in porosity, a decrease in pore number, and a slow enlargement of pore size and standard deviation along the lateral (x-axis) are observed. …”
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    Article
  12. 1052

    Development and FEM Modeling of a New Severe Plastic Deformation Process according to the Reverse Shear Scheme by Alexander F. Tarasov, Alexander V. Altukhov, Eduard P. Gribkov, Aleksandr R. Abdulov

    Published 2019-01-01
    “…The degree of deformation nonuniformity in a cross section for the considered deformation schemes has been determined, and the possibilities of the proposed process are shown in comparison with analogues. The advantage of the RS scheme is the absence of unformed edges of the workpiece, which reduces material consumption, increasing the accumulated degree of deformation by one operation and reducing the tooling complexity to obtain workpieces with a desired structure. …”
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    Article
  13. 1053

    Efficient hardware implementation of interpretable machine learning based on deep neural network representations for sensor data processing by J. Schauer, P. Goodarzi, A. Schütze, T. Schneider

    Published 2025-08-01
    “…This representation retains the interpretability but allows efficient implementation on hardware to process the acquired data directly on the sensor node. …”
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  14. 1054

    A Simulation of the Densification Process of NdFeB Bulks by a Modified Drucker–Prager Cap Model by Tao Song, Wenbin Jin, Fang Cheng, Bo Sun, Wenbin Qiu, Nan Liu, Hongliang Ge, Rui Wang, Huayun Mao

    Published 2025-06-01
    “…During the sintering process of NdFeB bulks, temperature changes and significant temperature differences between the bulk interior and the surface region will produce high residual stress. …”
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  15. 1055

    Optimization of the SiC Pretreatment Process for Thick Heavy Section Heat-resistant Si-Mo Ductile Iron by WU Peng-hai, JIANG Wen-yong, FENG Yi-cheng, GUO Er-jun, WANG Li-ping

    Published 2022-12-01
    “…The results show that after furnace pretreatment by SiC, the spheroidization percentage on the edge positions of the specimens with wall thicknesses of 25mm and 75mm reach more than 90%, and the spheroidization level is grade 2. …”
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    Article
  16. 1056

    Context Aware Task Orchestration With Deep Reinforcement Learning in Real Time Fog Computing Simulation Environment by Alp Gokhan Hossucu, Suat Ozdemir

    Published 2025-01-01
    “…In the ever-evolving landscape of cloud computing, fog and edge computing have become more prominent because of their natural property of proximity to demanding parts. …”
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  17. 1057

    High-precision 3D printing of hydrogel: Material innovations, process breakthroughs, and translational applications in regenerative medicine by Xinyu Huang, Dawei Fu, Xiangjun Zha, Tingxian Ling, Jigang Huang

    Published 2025-06-01
    “…This Review systematically examines cutting-edge fabrication strategies, including extrusion-based systems, photopolymerization techniques (stereolithography/digital light processing), and embedded 3D printing, with an emphasis on resolution enhancement through material rheology optimization and process innovation. …”
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  18. 1058

    Exploring Internet of Things adoption challenges in manufacturing firms: A Delphi Fuzzy Analytical Hierarchy Process approach. by Hasan Shahriar, Md Saiful Islam, Md Abrar Jahin, Istiyaque Ahmed Ridoy, Raihan Rafi Prottoy, Adiba Abid, M F Mridha

    Published 2024-01-01
    “…Innovation is key to gaining a sustainable edge in an increasingly competitive global manufacturing landscape. …”
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  19. 1059

    Imaging and Image Processing Techniques for High-Resolution Visualization of Connective Tissue with MRI: Application to Fascia, Aponeurosis, and Tendon by Meeghage Randika Perera, Graeme M. Bydder, Samantha J. Holdsworth, Geoffrey G. Handsfield

    Published 2025-02-01
    “…To further these advances, we discuss the integration of UTE with Diffusion Tensor Imaging (DTI) and explore image processing techniques to enhance the localization, labeling, and modeling of connective tissues. …”
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  20. 1060

    Effect of process parameters on microstructure and properties of superalloy turbine guide castings by a novel electromagnetic oscillation method by Zong-sheng Xie, Xin Hao, Guo-huai Liu, Hang Zheng, Chi Zhang, Chu-shan Yi, Zhao-dong Wang

    Published 2024-11-01
    “…The result shows that implementing 300 A/20 Hz optimal EMO process produces uniformly fine equiaxed grains, reducing average grain sizes by 71.83% at the blade concave and 75.80% at the inlet edge. …”
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