Showing 141 - 160 results of 587 for search 'Computer support comparative work.', query time: 0.16s Refine Results
  1. 141

    Performance Evaluation of Some Selected Classification Algorithms in a Facial Recognition System by Michael Olumuyiwa Adio, Ogunmakinde Jimoh Ogunwuyi, Mayowa Oyedepo Oyediran, Adebimpe Omolayo Esan, Olufikayo Adepoju Adedapo

    Published 2024-05-01
    “…However the Learning Vector Quantization algorithm, Relevance Vector Machine and Support Vector Machine performance have not been compared together to the most effective out of the three algorithms in term of False Positive Rate, Sensitivity, Specificity, Precision, Accuracy and Computation Time. …”
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    Designing Dialogic Peer Feedback in Collaborative Learning: The Role of Thinq Tank by Amber Van Hoe, Joel Wiebe, Jim Slotta, Tijs Rotsaert, Tammy Schellens

    Published 2024-11-01
    “…This design study tracks the development and implementation of the Thinq Tank tool, which is aimed at facilitating dialogic PF within computer-supported collaborative-inquiry learning (CSCiL) environments. …”
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    Algorithm for finding subcritical paths on network diagrams by M. A. Аnfyorov

    Published 2023-02-01
    “…Network diagrams are used as an information support element in planning and project management processes for structuring planned work and calculating project efficiency characteristics. …”
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  12. 152

    Predicting Earthquake Casualties and Emergency Supplies Needs Based on PCA-BO-SVM by Fuyu Wang, Huiying Xu, Huifen Ye, Yan Li, Yibo Wang

    Published 2025-01-01
    “…The prediction of casualties in earthquake disasters is a prerequisite for determining the quantity of emergency supplies needed and serves as the foundational work for the timely distribution of resources. In order to address challenges such as the large computational workload, tedious training process, and multiple influencing factors associated with predicting earthquake casualties, this study proposes a Support Vector Machine (SVM) model utilizing Principal Component Analysis (PCA) and Bayesian Optimization (BO). …”
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    Enhancing Fairness in Autonomous Vehicles: Proof of Confidence With Blockchain Technology by Jimin Ryu, Yong Ik Yoon

    Published 2024-01-01
    “…Unlike existing mechanisms, such as Proof of Work and Proof of Stake, PoC is designed to improve transaction efficiency while maintaining strong data integrity and supporting fair decision-making processes in dynamic driving environments. …”
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