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    Method of load balancing for computer cluster of data processing center by N. Yu. Bratchenko, V. P. Mochalov, I. S. Palkanov

    Published 2023-01-01
    “…The article presents a description of the load balancing method for a computing cluster of a data processing center (DPC), which is based on a probabilistic approach to proactive forecasting of packet traffic states, formed on the basis of the results of its statistical, nonlinear and spectral analysis. …”
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    Article
  3. 83

    METHOD OF LOAD BALANCING FOR COMPUTER CLUSTER OF DATA PROCESSING CENTER by N. Yu. Bratchenko, V. P. Mochalov, I. S. Palkanov

    Published 2023-01-01
    “…The article presents a description of the load balancing method for a computing cluster of a data processing center (DPC), which is based on a probabilistic approach to proactive forecasting of packet traffic states, formed on the basis of the results of its statistical, nonlinear and spectral analysis. …”
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    Article
  4. 84

    A Dual Process Computer Control System - Problems and Answers by D.J. Fraade, R.C. Smith

    Published 1975-12-01
    “… This paper’s purpose is to relate the problems – and answers – concerned with a dual on-line process control computer system. Seldom, if at all, is a paper presented that squarely sets out to discuss the user’s troubles. …”
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    Image Recognition and Processing of Rock Cuttings Based on Computer Vision by WANG Dewei, DENG Rui, CHENG Jiaqin

    Published 2023-08-01
    “…The OpenCV package in computer language is used to build computer vision, and the color tracker is built according to the HSV color model. …”
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  8. 88

    Analyzing Fairness of Computer Vision and Natural Language Processing Models by Ahmed Rashed, Abdelkrim Kallich, Mohamed Eltayeb

    Published 2025-02-01
    “…The study focuses on assessing and mitigating biases for unstructured datasets using Computer Vision (CV) and Natural Language Processing (NLP) models. …”
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    Article
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    SuperGrad: a differentiable simulator for superconducting processors by Ziang Wang, Feng Wu, Hui-Hai Zhao, Xin Wan, Xiaotong Ni

    Published 2025-04-01
    “…In this work, we introduce SuperGrad, a simulator that accelerates the design of superconducting quantum processors by incorporating gradient computation capabilities. …”
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  11. 91

    Quantum ensemble learning with a programmable superconducting processor by Jiachen Chen, Yaozu Wu, Zhen Yang, Shibo Xu, Xuan Ye, Daili Li, Ke Wang, Chuanyu Zhang, Feitong Jin, Xuhao Zhu, Yu Gao, Ziqi Tan, Zhengyi Cui, Aosai Zhang, Ning Wang, Yiren Zou, Tingting Li, Fanhao Shen, Jiarun Zhong, Zehang Bao, Zitian Zhu, Zixuan Song, Jinfeng Deng, Hang Dong, Pengfei Zhang, Wei Zhang, Hekang Li, Qiujiang Guo, Zhen Wang, Ying Li, Xiaoting Wang, Chao Song, H. Wang

    Published 2025-05-01
    “…Abstract Quantum machine learning is among the most exciting potential applications of quantum computing. However, the vulnerability of quantum information to environmental noises and the consequent high cost for realizing fault tolerance has impeded the quantum models from learning complex datasets. …”
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    An Educational RISC-V-Based 16-Bit Processor by Jecel Mattos de Assumpção, Oswaldo Hideo Ando, Hugo Puertas de Araújo, Mario Gazziro

    Published 2024-11-01
    “…This work introduces a novel custom-designed 16-bit RISC-V processor, intended for educational purposes and for use in low-resource equipment. …”
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  14. 94

    Quantum Circuit Architecture Search on a Superconducting Processor by Kehuan Linghu, Yang Qian, Ruixia Wang, Meng-Jun Hu, Zhiyuan Li, Xuegang Li, Huikai Xu, Jingning Zhang, Teng Ma, Peng Zhao, Dong E. Liu, Min-Hsiu Hsieh, Xingyao Wu, Yuxuan Du, Dacheng Tao, Yirong Jin, Haifeng Yu

    Published 2024-11-01
    “…Variational quantum algorithms (VQAs) have shown strong evidence to gain provable computational advantages in diverse fields such as finance, machine learning, and chemistry. …”
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  15. 95
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    The Integrated Processing Method of Educational Information Resources Based on Edge Computing by Zhimei Lv

    Published 2022-01-01
    “…The research purpose of this paper is to study the integrated processing method of educational information resources based on edge computing. …”
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    Enhancing Computation-Efficiency of Deep Neural Network Processing on Edge Devices through Serial/Parallel Systolic Computing by Iraj Moghaddasi, Byeong-Gyu Nam

    Published 2024-07-01
    “…In contrast, bit-serial processing has been used for improving the computational efficiency of neural processing without accuracy loss, exploiting a simple design, dynamic precision adjustment, and computation pruning. …”
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