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    Research on the Performance of Vehicle Lateral Control Algorithm Based on Vehicle Speed Variation by Weihai Zhang, Jinbo Wang, Tongjia Pang

    Published 2025-05-01
    “…It is necessary to define the applicable scenarios of each algorithm through quantitative data. In response to the lack of multi-speed domain quantitative comparison in existing research, this paper conducts multi-condition simulations using MPC, PP, and LQR algorithms and finds that at a low speed of 3 m/s, the peak lateral error of PP (0.45 m) is 55% and 156% higher than MPC (0.29 m) and LQR (0.176 m), respectively. …”
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  3. 43

    Comparative Analysis of Nature-Inspired Algorithms for Optimal Power Flow Problem: A Focus on Penalty-Vanishing Terms and Algorithm Performance by Gerardo Castanon, Alberto F. Martinez-Herrera, Ana Maria Sarmiento, Alejandro Aragon-Zavala, Fernando Lezama

    Published 2024-01-01
    “…This study presents a comparative analysis of multiple nature-inspired algorithms for solving the non-polynomial Optimal Power Flow (OPF) problem. …”
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    FlightScope: An Experimental Comparative Review of Aircraft Detection Algorithms in Satellite Imagery by Safouane El Ghazouali, Arnaud Gucciardi, Francesca Venturini, Nicola Venturi, Michael Rueegsegger, Umberto Michelucci

    Published 2024-12-01
    “…The goal is to enable researchers to choose efficiently from algorithms that are trainable and usable in real time on a deep learning infrastructure with moderate requirements. …”
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    Comparative analysis of machine learning algorithms for predicting depression among individuals with diabetes by Hind Bourkhime, Noura Qarmiche, Soumaya Benmaamar, Nada Lazar, Mohammed Omari, Mohamed Berraho, Nabil Tachfouti, Samira El Fakir, Hanan El Ouahabi, Nada Otmani

    Published 2025-06-01
    “…Consequently, effective management of the co-occurrence of diabetes and depression is likely to significantly improve the quality of patient care. This research study presents a comprehensive comparative analysis of eight distinct machine learning (ML) algorithms to predict depression among individuals with diabetes. …”
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    Research on clustering algorithm based 6G typical usage scenarios by Ning JIN, Qingyang WANG

    Published 2022-01-01
    “…Compared with the three classic 5G usage scenarios, the content and types of 6G typical usage scenarios will be more abundant and diverse.How to refine 6G usage scenarios objectively and efficiently has become a major challenge.Based on this, the clustering algorithm was used to study the 6G usage scenarios.Firstly, the 6G service and performance indicators were considered.Then, the demand values of 6G service were collected and the indicators were scored.Finally, the sample data were analyzed by different clustering algorithms.According to the clustering results, eight typical usage scenarios of 6G were proposed, which could provide some reference for 6G research in the industry.…”
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