Showing 2,181 - 2,200 results of 26,849 for search 'evaluation computing', query time: 0.23s Refine Results
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    C6EnPLS: A High-Performance Computing Job Dataset for the Analysis of Linear Solvers’ Power Consumption by Marcello Artioli, Andrea Borghesi, Marta Chinnici, Anna Ciampolini, Michele Colonna, Davide De Chiara, Daniela Loreti

    Published 2025-04-01
    “…In recent decades, driven by global efforts towards sustainability, the priorities of HPC facilities have changed to include maximising energy efficiency besides computing performance. In this regard, a crucial open question is how to accurately predict the contribution of each parallel job to the system’s energy consumption. …”
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  3. 2183

    Synergistic integration of refined pelican optimization algorithm and deep neural networks for autonomous vehicle control in edge computing architectures by Fude Duan, Bing Han, Xiongzhu Bu

    Published 2025-06-01
    “…Precisely, this research presents a hybrid model for autonomous vehicle management by integrating a refined version of the RPO or Pelican Optimizer with deep neural networks attuned to mobile edge computing environments. The chief contributions of the present study have been threefold: (1) the improvement of a particular autonomous driving method optimized for mobile edge computing platforms; (2) the arrangement of an optimized MobileNet method employing the RPO algorithm that uses LiDAR sensor data for effective object recognition and path design; and (3) the construction of an indoor vehicle prototype by mean of a microcontroller and LiDAR sensors, after a comprehensive performance evaluation of inference models, and analyzing the trade-offs between input size and computational effectiveness. …”
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    Evaluating Machine Unlearning: Applications, Approaches, and Accuracy by Zulfiqar Ali, Asif Muhammad, Rubina Adnan, Tamim Alkhalifah, Sheraz Aslam

    Published 2025-01-01
    “…ABSTRACT Machine learning (ML) enables computers to learn from experience by identifying patterns and trends. …”
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  11. 2191

    DIKWP-Driven Artificial Consciousness for IoT-Enabled Smart Healthcare Systems by Yucong Duan, Zhendong Guo

    Published 2025-07-01
    “…The architecture integrates wearable sensors, edge computing nodes, and cloud services to enable dynamic task orchestration and secure data fusion. …”
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  12. 2192

    Bio-Inspired Multiobjective Optimization for Designing Content Distribution Networks by Gerardo Goñi, Sergio Nesmachnow, Diego Rossit, Pedro Moreno-Bernal, Andrei Tchernykh

    Published 2025-04-01
    “…Ad hoc representation and search operators are applied to optimize relevant metrics from the point of view of both system administrators and users. In the evaluation of problem instances built using real data, the evolutionary multiobjective optimization approach was able to compute more accurate solutions in terms of cost and quality of service when compared to the exact resolution method. …”
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    Multi-Objective Optimization Techniques in Cloud Task Scheduling: A Systematic Literature Review by Olanrewaju L. Abraham, Md Asri Bin Ngadi, Johan Bin Mohamad Sharif, Mohd Kufaisal Mohd Sidik

    Published 2025-01-01
    “…Task scheduling in cloud computing environment aims to identify alternative methods for effectively allocating competing cloud tasks to constrained resources, optimizing one or more objectives. …”
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    Exploring the Impact of Resource Management Strategies on Simulated Edge Cloud Performance: An Experimental Study by Nikolaos Kaftantzis, Dimitrios G. Kogias, Charalampos Z. Patrikakis

    Published 2024-11-01
    “…The scenarios we consider for this evaluation involve edge computing while taking into account variables like user location, resource availability, and network structure. …”
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    AI-Based Architecture and Distributed Processing for the Detection and Mitigation of Spoofing Attacks in IoT Networks by William Villegas, Iván Ortiz-Garcés, Jaime Govea

    Published 2025-06-01
    “…The evaluation included detection accuracy, response time, and system scalability metrics. …”
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    A Low-Power DNN Accelerator With Mean-Error-Minimized Approximate Signed Multiplier by Laimin Du, Leibin Ni, Xiong Liu, Guanqi Peng, Kai Li, Wei Mao, Hao Yu

    Published 2024-01-01
    “…Approximate computing is an emerging and effective method for reducing energy consumption in digital circuits, which is critical for energy-efficient performance improvement of edge-computing devices. …”
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    Energy Consumption in Microservices Architectures: A Systematic Literature Review by Gabriel Araujo, Vandirleya Barbosa, Luiz Nelson Lima, Arthur Sabino, Carlos Brito, Iure Fe, Paulo Rego, Eunmi Choi, Dugki Min, Tuan Anh Nguyen, Francisco Airton Silva

    Published 2024-01-01
    “…Cloud computing emerges as a paradigm that facilitates on-demand access to technological resources through the mechanism of service virtualization. …”
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    Evaluating quantum-classical heuristics for traveling salesman problem by Mariia A. Makarova, Sergey V. Fedorov, Anna V. Titova, Alexander A. Khomich, Alexander S. Rumyantsev

    Published 2025-07-01
    “…In this paper, we develop and evaluate a hybrid quantum-classical heuristic approach to solving the Traveling Salesman Problem. …”
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