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  1. 741

    Evaluation of Dynamic Visual Perception of Riverside Interface in Mountainous Cities from the Perspective of Boating by Dan LUO, Ruhong WEI

    Published 2025-02-01
    “…After the unified classification of the evaluation indicators, the expert scoring method and AHP analytic hierarchy process are used to determine the weight of each evaluation indicator, and finally an evaluation model for dynamic visual perception of riverside interface in mountainous cities is established. …”
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    Simulation of Wave and Non-Newtonian Mud Interaction using an ‎‎ISPH Based on Modified Inter-Particle Average ‎ by Kourosh Hejazi, Mohsen soltanpour, Abolfazl Aslani Kordkandi

    Published 2024-03-01
    “…A modified ‎inter-particle ‎average technique ‎was used to solve the ‎‎discontinuity through ‎the interface. …”
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  4. 744

    Hands-Free UAV Control: Real-Time Eye Movement Detection Using EOG and LSTM Networks by Niloofar Zendehdel, Khosro Ghorbani Zadeh, Haodong Chen, Yun Seong Song, Ming C. Leu

    Published 2025-01-01
    “…Additionally, workers often have their hands occupied with assembly tasks, making hand-controlled interfaces less practical for controlling robots. To address these challenges, this paper presents a novel, hands-free method for robot control using electrooculography (EOG) signals—specifically, eye movements and blinks—with unmanned aerial vehicles (UAVs) used as the demonstration platform. …”
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    Technical Aspects of Deploying UAV and Ground Robots for Intelligent Logistics Using YOLO on Embedded Systems by Wissem Dilmi, Sami El Ferik, Fethi Ouerdane, Mustapha K. Khaldi, Abdul-Wahid A. Saif

    Published 2025-04-01
    “…Specifically, we provide a comprehensive comparative analysis of YOLOv5 and YOLOv8, evaluating their performance in terms of inference speed, accuracy, and dataset-specific metrics using both the Common Objects in Context (COCO) dataset and a novel, custom logistics dataset tailored for aerial and ground-based logistics scenarios. …”
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    Understanding and Addressing Variability Through Recalibration in a Brain–Computer Interface for Intelligent Vehicle Control Using Long-Term Implanted Human Neural Data: A Case Study by Yicong Xiao, Spencer Kellis, Christopher. F Reiche, Florian Solzbacher

    Published 2025-01-01
    “…Even when trained on sufficient neural data, the performance of a brain-computer interface (BCI) is susceptible to error due to both systematic and random noise. …”
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    Classification of Electroencephalography Motor Execution Signals Using a Hybrid Neural Network Based on Instantaneous Frequency and Amplitude Obtained via Empirical Wavelet Transfo... by Patryk Zych, Kacper Filipek, Agata Mrozek-Czajkowska, Piotr Kuwałek

    Published 2025-05-01
    “…Binary classification tasks were conducted using both raw windowed EEG signals and features extracted via bandpower and the empirical wavelet transform (EWT). …”
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    SAMatch: training-free object detection for HMI screens by Kiruthika Kannan, Vijay Jaisankar, Akhil Pillai, Rakesh Tripathi

    Published 2025-06-01
    “…Abstract Recognising objects within graphical user interface (GUI) images presents unexpected challenges, particularly in cases of diverse objects and limited labelled data. …”
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    Time-Frequency Analysis of Motor Imagery During Plantar and Dorsal Flexion Movements Using a Low-Cost Ankle Exoskeleton by Cristina Polo-Hortigüela, Mario Ortiz, Paula Soriano-Segura, Eduardo Iáñez, José M. Azorín

    Published 2025-05-01
    “…For motor imagery classification, the STFT achieved the highest accuracy (92.9%) using an EEGNet-based classifier and a state-machine approach. …”
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