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  1. 301

    PERFORMANCE COMPARISON OF CLASSICAL ALGORITHMS AND DEEP NEURAL NETWORKS FOR TUBERCULOSIS PREDICTION by Gilgen Mate Landry, Rodolphe Nsimba Malumba, Fiston Chrisnovi Balanganayi Kabutakapua, Bopatriciat Boluma Mangata

    Published 2025-01-01
    “…The SVM and KNN models also performed strongly, but slightly less well. The Decision Tree obtained acceptable results, but inferior to the other algorithms evaluated. …”
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  2. 302

    Design of a Demodulation Algorithm for UWOC based on Improved Manchester Coding by ZHANG You, HU Fangren, ZHAO Xiaoyan, ZHOU Jun, WANG Qilong

    Published 2025-04-01
    “…【Results】The test results show that the UWOC system based on this demodulation algorithm has an BER of 10<sup>-5</sup> in indoor clear water pools and 10<sup>-3</sup> in nearshore lake water at a communication speed of 50 Mbit/s and a communication distance of 10 m.…”
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    A Proposed Diagnostic and Treatment Algorithm for the Management of Lumbar Discogenic Pain by Lorio MP, Beall DP, Myers TJ, Naidu RK, McRoberts WP, Davis TT, Gage EG, Calodney AK, Verrills P, De Palma MJ, Amirdelfan K, Block JE

    Published 2025-07-01
    “…A decision tree approach was utilized with “either/or” choices at each branch or node in the algorithm. …”
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    Parameter Identification of Permanent Magnet Synchronous Motor Based on LSOSMO Algorithm by Songcan Zhang, Zhuangzhuang Zhou, Yi Pu, Yan Li, Yingxi Xu

    Published 2025-04-01
    “…First, the logistic sinusoidal chaotic mapping strategy was used to enhance the uniformity of the initial population of the spider monkey optimization (SMO) algorithm. Then, in the local leader stage and the local leader decision stage of the SMO, the dynamic probability adaptive T-distribution method and opposition-based learning strategy are used to replace the greedy selection strategy, increase the position disturbance, and balance the global search and local search ability of the algorithm, so as to improve the performance and convergence speed of the algorithm. …”
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    Comparison of algorithms for multi-objective optimization of radio technical device characteristics by A. V. Smirnov

    Published 2022-12-01
    “…One of the compared algorithms comprises the Third Evolution Step of Generalized Differential Evolution (GDE3) population-based algorithm for searching the full approximation of the Pareto set simultaneously, while the other three algorithms minimize the scalar objective function to find only one element of the Pareto set in a single search cycle: these comprise Multistart Pattern Search (MSPS), Multistart Sequential Quadratic Programming (MSSQP) method and Particle Swarm Optimization (PSO) algorithms.Results. …”
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