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  1. 181

    Detection Method for Safety Helmet Wearing on Construction Sites Based on UAV Images and YOLOv8 by Xin Jiao, Cheng Li, Xin Zhang, Jian Fan, Zhenwei Cai, Zhenglong Zhou, Ying Wang

    Published 2025-01-01
    “…To address these issues, this study proposes a helmet detection method based on unmanned aerial vehicles (UAVs) and the YOLOv8 object detection algorithm. …”
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  2. 182

    Exploring non-zero position constraints: algorithm-hardware co-designed DNN sparse training method by WANG Miao, ZHANG Shengbing, ZHANG Meng

    Published 2025-02-01
    “…And based on these rules, this paper proposed a parev hardware-friendly sparse training algorithm to reduce the computation and storage pressure of the three phases, and an energy-efficient sparse training accelerator that can be executed in parallel with the forward propagation computation to estimate the non-zero positions so that the runtime processing cost is masked. …”
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  3. 183
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    Overview of object detection methods based on LiDAR point cloud under adverse weather conditions by Yutian WU, Qing LI, Wenwei SUN, Heng WANG, Weiran WANG

    Published 2025-05-01
    “…Of the many environmental perception sensors, light detection and ranging (LiDAR), which provides high-precision three-dimensional point cloud data, plays a vital role in environmental perception of and object detection by autonomous driving systems. Advanced LiDAR-based object detection methods leverage deep learning techniques to extract object features, predict object locations, and classify objects within an end-to-end neural network framework, achieving remarkable accuracy in many general scenarios. …”
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    BLE Signal Processing and Machine Learning for Indoor Behavior Classification by Yi-Shiun Lee, Yong-Yi Fanjiang, Chi-Huang Hung, Yung-Shiang Huang

    Published 2025-07-01
    “…Smart home technology enhances the quality of life, particularly with respect to in-home care and health monitoring. While video-based methods provide accurate behavior analysis, privacy concerns drive interest in non-visual alternatives. …”
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    Research on the Nonlinear and Interactive Effects of Multidimensional Influencing Factors on Urban Innovation Cooperation: A Method Based on an Explainable Machine Learning Model by Rui Wang, Xingping Wang, Zhonghu Zhang, Siqi Zhang, Kailun Li

    Published 2025-03-01
    “…The Physical Space dimension (20.46%) generally exhibits mutation points during the early stages of urban development, with overall relationships predominantly characterized by nonlinear positive trends. (3) Through the application of PDP, it is further determined that IU has a positive synergistic effect with per capita Foreign Direct Investment (FDI), public library collections per capita (LC), and city night light data (NPP), while exhibiting a negative antagonistic effect with Average Annual Wage of Staff (AAS) and number of Enterprises above Designated Size in Industry (EDS). (4) For cities at different developmental stages, tailored development proposals should be formulated based on single-factor contribution and multifactor interaction effects. …”
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  11. 191

    Effects of problem-based learning on EFL learning: A systematic review. by Qian Guo, Halimah Jamil, Lilliati Ismail, Shujie Luo, Zhubin Sun

    Published 2024-01-01
    “…Problem-based learning (PBL) is an innovative pedagogical approach that facilitates students' self-regulated learning, thereby improving their English proficiency. …”
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  12. 192
  13. 193

    Increasing the Level of Cognitive Activity of Students of the Secondary Vocational Education System in Computer Science Classes Based on a Collective Learning Method by K. E. Timofeeva

    Published 2024-05-01
    “…Based on the adaptation of the principles and advantages of collective learning methods (according to V. …”
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    Identifying risk factors for depression and positive/negative mood changes in college students using machine learning by Qi Qiang, Jinsheng Hu, Xianke Chen, Weihua Guo, Qingshuo Yang, Zhijun Wang, Zhihong Liu, Ya Zhang, Qi Li

    Published 2025-07-01
    “…BackgroundIn this study, machine learning was used to assess the prediction of the magnitude of depression changes in college students based on various psychological variable information.MethodsA group of college students from a certain school completed two assessments in October 2021 and March 2022, respectively. …”
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  17. 197

    Passivity-Based Control for Rocket Launcher Position Servo System Based on ADRC Optimized by IPSO-BP Algorithm by Rong-lin Wang, Bao-chun Lu, Yuan-long Hou, Qiang Gao

    Published 2018-01-01
    “…In order to achieve better motion accuracy and higher robustness of the shipborne rocket launcher position servo system driven by a permanent magnet synchronous motor (PMSM), a passivity-based controller based on active disturbance rejection control (ADRC) optimized by improved particle swarm optimization-back propagation (IPSO-BP) algorithm is proposed in this paper. …”
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    Student-Doctor Method for Clinical Training Among Phase III Part II MBBS Students by Moneesha Srinivasan, Manohari Ramachandran, Amudhaganesh Selvaraj, Jeevithan Shanmugam

    Published 2025-07-01
    “…Introduction: The Student–Doctor method, recommended by the National Medical Commission (NMC) under the Competency-Based Medical Education (CBME) curriculum, aims to bridge the gap between theoretical learning and practical clinical exposure. …”
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