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    Assessing the potential of a Bayesian ranking as an alternative to consensus meetings for decision making in research funding: A case study of Marie Skłodowska-Curie actions. by Rachel Heyard, David G Pina, Ivan Buljan, Ana Marušić

    Published 2025-01-01
    “…However, previous research has shown inconsistency in decisions and inefficiency of consensus meetings. Using data from the Marie Skłodowska-Curie Actions, we aimed at investigating the differences between an algorithmic approach to summarise the information from grant proposal individual evaluations to decisions after consensus meetings, and we present an exploratory comparative analysis. …”
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    Three-Dimensional Trajectory Tracking Control for Stratospheric Airship Based on Deep Reinforcement Learning by Xixiang Yang, Fangchao Bai, Xiaowei Yang, Yuelong Pan

    Published 2025-01-01
    “…According to the discrete state and action space, a Markov decision process model for the three-dimensional trajectory tracking control problem was established. …”
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    Performance Optimization in Three-Modality Biometric Verification using Heterogeneous CPU-GPU Computation by Bopatriciat Boluma Mangata, Pierre Tshibanda wa Tshibanda, Guy-Patient Mbiya Mpoyi, Jean Pepe Buanga Mapetu, Rostin Mabela Matendo Makengo, Eugène Mbuyi Mukendi

    Published 2024-12-01
    “…The design of this system is based on a decision fusion algorithm based on the logical OR connector, enabling the results of the three modalities to be combined. …”
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    Energy Efficiency in Smart Buildings through Prediction modeling and Optimization Using a Modified Whale Optimization Algorithm by El Assri Nasima, Ennejjar Mohammed, Jallal Mohammed Ali, Chabaa Samira, Zeroual Abdelouhab

    Published 2024-01-01
    “…The primary focus is on evaluating the performance of two prominent and widely-used machine learning algorithms: Artificial Neural Networks (ANN) and Random Forest (RF). …”
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    Development, deployment, and feature interpretability of a three-class prediction model for pulmonary diseases by Zhenyu Cao, Gang Xu, Yuan Gao, Jianying Xu, Fengjuan Tian, Hengfeng Shi, Dengfa Yang, Zongyu Xie, Jian Wang

    Published 2025-06-01
    “…Features with p < 0.05 from univariate analyses were selected using the Boruta algorithm for input into Random Forest (RF) and XGBoost models. …”
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