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    Path Planning For A Mobile Robot Using The Chessboard Method And Gray Wolf Optimization Algorithm In Static And Dynamic Environments by Ali Hatami Zadeh, Javad Sharifi, Meysam Yadegar

    Published 2024-09-01
    “…The Grey Wolf Optimization (GWO) algorithm, a computational optimization method inspired by the social behavior of wolves, has recently been effectively used to solve optimization and routing problems. …”
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    Toward Optimal Placement of Spatial Sensors to Detect Poisson-Distributed Targets by Mingyu Kim, Harun Yetkin, Daniel J. Stilwell, Jorge Jimenez, Saurav Shrestha, Nina Stark

    Published 2023-01-01
    “…While this objective function is well-suited to applications where failure to detect targets is highly undesirable, it does not lead to a computationally efficient optimization problem. We propose an approximation of the objective function that is non-negative, submodular, and monotone and for which greedy selection of sensor locations works well. …”
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  10. 8530

    Predicting appropriateness of antibiotic treatment among ICU patients with hospital-acquired infection by Ella Goldschmidt, Ella Rannon, Daniel Bernstein, Asaf Wasserman, Michael Roimi, Anat Shrot, Dan Coster, Ron Shamir

    Published 2025-02-01
    “…To address missing values and dataset imbalances, novel computational methods were introduced. The model achieved an AUROC of 77.3% and AUPRC of 40.4% on validation, with similar results on external datasets from MIMIC-IV and Rambam Hospital. …”
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    A fair non-collateral consensus protocol based on Merkle tree for hierarchical IoT blockchain by Seyedeh Somayeh Fateminasab, Davoud Bahrepour, Seyed Reza Kamel Tabbakh

    Published 2025-01-01
    “…In the HIoTB network, we first determine the trustworthiness of nodes based on their computational resources verified through a Merkle tree proof. …”
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  18. 8538

    A Modified Bat Algorithm with Conjugate Gradient Method for Global Optimization by Huda I. Ahmed, Eman T. Hamed, Hamsa Th. Saeed Chilmeran

    Published 2020-01-01
    “…The new spectral conjugate gradient algorithm is a modification of the Birgin and Martínez method, a manner to overcome the lack of positive definiteness of the matrix defining the search direction. The preliminary computational results for a set of 30 unconstrained optimization test problems show that this new spectral conjugate gradient outperforms a standard conjugate gradient in this field and we have applied the newly proposed spectral conjugate gradient algorithm in bat algorithm to reach the lowest possible goal of bat algorithm. …”
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