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  1. 1521

    Enhancing Connected Health Ecosystems Through IoT-Enabled Monitoring Technologies: A Case Study of the Monit4Healthy System by Marilena Ianculescu, Victor-Ștefan Constantin, Andreea-Maria Gușatu, Mihail-Cristian Petrache, Alina-Georgiana Mihăescu, Ovidiu Bica, Adriana Alexandru

    Published 2025-04-01
    “…In order to decrease network load and enable the quick identification of abnormalities, edge computing is used for real-time signal filtering and feature extraction. …”
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    Article
  2. 1522

    Classifying Power Quality Issues in Railway Electrification Systems Using a Nonsubsampled Contourlet Transform Approach by Pampa Sinha, Kaushik Paul, I. M. Elzein, Mohamed Metwally Mahmoud, Ali M. El‐Rifaie, Wulfran Fendzi Mbasso, Ahmed M. Ewais

    Published 2025-08-01
    “…NSCT's shift‐invariant, multiscale, and multidirectional capabilities allow for precise separation of oscillatory and transient components, while the split augmented Lagrangian shrinkage algorithm enhances decomposition efficiency. Features such as signal energy, entropy, and trend energy were extracted and visualized in a 3D feature space, demonstrating clear clustering for different PQ events. …”
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    Article
  3. 1523

    Multi-Strategy Improvement of Coal Gangue Recognition Method of YOLOv11 by Hongjing Tao, Lei Zhang, Zhipeng Sun, Xinchao Cui, Weixun Yi

    Published 2025-03-01
    “…It exhibits a slight increase in computational load, despite an almost unchanged number of parameters, and demonstrates the best overall detection performance. …”
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    Article
  4. 1524

    Precision Weed Management for Straw-Mulched Maize Field: Advanced Weed Detection and Targeted Spraying Based on Enhanced YOLO v5s by Xiuhong Wang, Qingjie Wang, Yichen Qiao, Xinyue Zhang, Caiyun Lu, Chao Wang

    Published 2024-11-01
    “…Secondly, we proposed an improved YOLO v5s network, incorporating a Convolutional Block Attention Module (CBAM), FasterNet feature extraction network, and a loss function to optimize the network structure and training strategy. …”
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    Article
  5. 1525

    The Extension Arm Design Method Based on a Two-Bar Tension Stretchable Mechanism by Song Gao, GuoFu Zhang, Yue Zhao, XiaoHui Yu, JianWei Sun

    Published 2025-01-01
    “…In comparison to existing space deployable masts, the new deployable masts incorporate a tensegrity structure feature that enables them to recover autonomously to their initial state in a contracted state. …”
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    Article
  6. 1526

    Thermal Management for Electric Motorcycles—Multi-Scale Modelling and Battery Thermal Design Evaluation by Tao Zhu, Mehmet Kirca, Shilei Zhou, Truong Dinh, Andrew McGordon

    Published 2025-03-01
    “…Electric motorcycles feature a smaller size and lower weight than electric cars, meaning they have greater manoeuvrability and energy efficiency, which translate to a dynamic riding experience and reduced environmental footprint. …”
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    Article
  7. 1527

    Multi-objective optimization of wear parameters of hybrid composites (LM6/B4C/fly ash) using grey relational analysis. by Charles Sarala Rubi, Jayavelu Udaya Prakash, Sunder Jebarose Juliyana, Sachin Salunkhe, Robert Cep, Emad Abouel Nasr

    Published 2025-01-01
    “…The wear was examined with various Sliding Speed, S (1 m/s, 1.5 m/s and 2 m/s), Sliding Distance, D (500 m, 1000 m and 1500 m), applied load, L (15 N, 30N and 45 N) and reinforcement %, R (3, 6 and 9%). …”
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  8. 1528

    Computer-Vision-Aided Deflection Influences Line Identification of Concrete Bridge Enhanced by Edge Detection and Time-Domain Forward Inference by Jianfeng Chen, Long Zhao, Yuliang Feng, Zhiwei Chen

    Published 2024-11-01
    “…To mitigate the limitations of the Lucas–Kanade (LK) optical flow method, such as unclear feature points within the camera’s field of view and occasional point loss in certain video frames, an edge detection technique is employed to identify maximum values in the first-order derivatives of the image, creating virtual tracking points at the bridge edges through image processing. …”
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  9. 1529

    Wearable co-thinking device to assist strawberry packaging task by Osamu Fukuda, Wen Liang Yeoh, Yuta Esaki, Jin Yien Lee, Mitsuru Higashimori, Makoto Kaneko, Satoshi Muraki

    Published 2025-08-01
    “…The most significant feature of this system is its ability to seamlessly integrate system-generated decisions with human input, resulting in optimal task performance. …”
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    Article
  10. 1530

    Design of an Intelligent Pear Bagging End-Effector Based on Yolov8 and SGBM Algorithm by Jing Ruijun, Liu JingKai, LiXin, ZhiguoZhao

    Published 2024-01-01
    “…To address the computational limitations of embedded devices in agricultural intelligent equipment, we improve the YOLOv8 model by replacing its neck component with the Asymptotic Feature Pyramid Network (AFPN) and incorporating Context Guided (CG) blocks into the C2f module. …”
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    Article
  11. 1531

    Lightweight coal mine conveyor belt foreign object detection based on improved Yolov8n by Jierui Ling, Zhibo Fu, Xinpeng Yuan

    Published 2025-03-01
    “…-EIEM module is proposed and embedded into the Backbone section to enhance the feature learning capability for image recognition tasks. …”
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  12. 1532
  13. 1533

    Determination of Heavy Metals, Arsenic, and Aluminum Content in Pumpkin Seed Herbal Substance and Native Products, by Inductively Coupled Plasma Mass Spectrometry by S. V. Ovsienko, V. M. Shchukin, E. A. Blinkova, N. E. Kuz’mina

    Published 2022-04-01
    “…Their characteristic feature is that they can be consumed directly, without prior extraction of the starting material. …”
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    Article
  14. 1534

    Enhanced Models for Wind, Solar Power Generation, and Battery Energy Storage Systems Considering Power Electronic Converter Precise Efficiency Behavior by Binxin Zhu, Junliang Liu, Shusheng Wang, Zhe Li

    Published 2025-03-01
    “…The large-scale integration of wind, solar, and battery energy storage is a key feature of the new power system based on renewable energy sources. …”
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    Article
  15. 1535

    High accuracy identification of maize seed varieties based on a lightweight improved YOLOv8 by Siqi Niu, Xiaolin Xu, Ao Liang, Yuliang Yun, Fengqi Hao, Jinqiang Bai, Wenyi Sheng, Dexin Ma

    Published 2025-05-01
    “…Firstly, the backbone was replaced with FasterNet, which reduced redundant computation and memory access, allowing more efficient extraction of spatial features. Secondly, the Content-Aware ReAssembly of FEatures (CARAFE) was introduced, offering a larger receptive field and adaptive convolution kernels, which better aggregated contextual information, prevented feature loss, and improved the quality of upsampling and the accuracy of dense prediction tasks. …”
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  16. 1536

    Toward Sustainable Agriculture: DPA-UNet for Semantic Segmentation of Landscapes Using Remote Sensing Imagery by J. Kavipriya, G. Vadivu

    Published 2025-01-01
    “…While keeping a lower computational load, the proposed model efficiently lowers segmentation mistakes in heterogeneous agricultural areas. …”
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  17. 1537

    LWheatNet: a lightweight convolutional neural network with mixed attention mechanism for wheat seed classification by Xiaojuan Guo, Jianping Wang, Guohong Gao, Zihao Cheng, Zongjie Qiao, Ranran Zhang, Zhanpeng Ma, Xing Wang

    Published 2025-01-01
    “…This approach enhances the feature representation of wheat seed images. Secondly, we design stacked inverted residual networks to extract features from wheat seed images. …”
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  18. 1538

    Examining attentional avoidance in post-traumatic stress disorder: an exploratory ‘Face in the Crowd’ paradigm using eye-tracking by Wivine Blekic, Mandy Rossignol, Fabien D’Hondt

    Published 2025-12-01
    “…This study allows raising the question of cognitive load on the emergence of differential attentional strategies presented by PTSD participants. …”
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  19. 1539

    Fault Detection in Induction Machines Using Learning Models and Fourier Spectrum Image Analysis by Kevin Barrera-Llanga, Jordi Burriel-Valencia, Angel Sapena-Bano, Javier Martinez-Roman

    Published 2025-01-01
    “…This analysis introduces a new approach by demonstrating how different convolutional blocks capture particular features: the first convolutional block captures signal shape, while the second identifies background features. …”
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  20. 1540

    DEVELOPMENT OF COMPOSITION AND TECHNOLOGY FOR PRODUCTION OF NONALCOHOLIC BEVERAGE CONCENTRATE TABLET by Shkolnikova M.N., Averyanova E.V., Donya D.V., Khlopotov I.V.

    Published 2017-09-01
    “…The formulation and technology of the concentrate of non-alcoholic thirst-quenching beverage in the form of tablets has been developed, the distinguishing feature of which is the use, as a flavor component, of the dry extract of cowberry berries obtained by vacuum-pulse extraction. …”
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    Article