Showing 361 - 380 results of 3,258 for search '(collaborative OR collaboration) computing', query time: 0.14s Refine Results
  1. 361

    Cloud–Edge Collaborative Model Adaptation Based on Deep Q-Network and Transfer Feature Extraction by Jue Chen, Xin Cheng, Yanjie Jia, Shuai Tan

    Published 2025-07-01
    “…With the rapid development of smart devices and the Internet of Things (IoT), the explosive growth of data has placed increasingly higher demands on real-time processing and intelligent decision making. Cloud-edge collaborative computing has emerged as a mainstream architecture to address these challenges. …”
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  2. 362

    Time series data based AI operation and maintenance system of cloud network collaboration platform by Ruiying CHENG, Pan ZHANG, Yu XIAO, Yujie QIAO, Anyi ZHANG

    Published 2022-11-01
    “…The expansion of cloud computing in enterprise applications is not only the expansion of platform scale, but also the extension of platform applications.…”
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  3. 363

    Examining the Characteristics and Influencing Factors of Collaborative Innovation in the Shanghai Cooperation Organization: A Network Perspective by Chenyu Zhang, Jinying Wang, Liangzhe Xu

    Published 2025-04-01
    “…Chemistry, physics, engineering, and computing, as important application-oriented subjects, are the main research areas of scientific collaboration. …”
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    Collaborative Optimization of Model Pruning and Knowledge Distillation for Efficient and Lightweight Multi-Behavior Recognition in Piglets by Yizhi Luo, Kai Lin, Zixuan Xiao, Yuankai Chen, Chen Yang, Deqin Xiao

    Published 2025-05-01
    “…This study achieves a balance between model compression and recognition accuracy through the collaborative optimization of pruning and knowledge extraction.…”
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    Article
  7. 367

    Enhanced Collaborative Edge Intelligence for Explainable and Transferable Image Recognition in 6G-Aided IIoT by Chen Chen, Ze Sun, Jiale Zhang, Junwei Dong, Peng Zhang, Jie Guo

    Published 2025-07-01
    “…However, the existing algorithms often neglect the explainability of image recognition processes and fail to address the collaborative potential between edge computing servers. …”
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    “I Became Self-Motivated”: Investigating Chinese Students’ Motivation in Assessed Collaborative Writing Tasks by Wenting Chen, Mingyue Chen

    Published 2025-02-01
    “…The study suggests teachers should prioritize assessment as a pivotal element when incorporating computer-assisted collaborative writing, conscientiously consider students’ motivations in activity design, and recognize the growing significance of computer technologies in L2 learning.…”
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    Cloud–Edge Collaborative Learning and Model Compression Framework for Communication-Assisted Human Action Recognition by Bo Gao, Quan Zhou

    Published 2025-05-01
    “…The growing demand for efficient human action recognition has led to significant advancements in applications such as surveillance, healthcare, and human–computer interaction. This paper uses the Widar3.0 dataset to evaluate the proposed a cloud–edge collaborative learning framework that incorporates model compression techniques, including knowledge distillation, pruning, and quantization, to optimize computational resource usage and improve recognition accuracy. …”
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  14. 374
  15. 375

    Device-edge collaborative occluded face recognition method based on cross-domain feature fusion by Puning Zhang, Lei Tan, Zhigang Yang, Fengyi Huang, Lijun Sun, Haiying Peng

    Published 2025-04-01
    “…To solve the above problems, we put forward a device-edge collaborative occluded face recognition method based on cross-domain feature fusion. …”
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    Surrogate-assisted global and distributed local collaborative optimization algorithm for expensive constrained optimization problems by Xiangyong Liu, Zan Yang, Jiansheng Liu, Junxing Xiong, Jihui Huang, Shuiyuan Huang, Xuedong Fu

    Published 2025-01-01
    “…Abstract This paper presents a surrogate-assisted global and distributed local collaborative optimization (SGDLCO) algorithm for expensive constrained optimization problems where two surrogate optimization phases are executed collaboratively at each generation. …”
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