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    Advances in impact force identification: A comprehensive review of techniques and mathematical innovations by Hamed Kalhori, Shabnam Tashakori, Ben Halkon, Mehrisadat Makki Alamdari, Bing Li, Morteza Saberi

    Published 2025-06-01
    “…The comparative analysis underscores the trade-offs between model-based approaches, which offer high computational efficiency in linear regimes, and machine learning methods, which demonstrate robustness in capturing nonlinear and high-dimensional system behaviors. …”
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    Modeling interpersonal perception in dyadic interactions: towards robot-assisted social mediation in the real world by Hifza Javed, Weinan Wang, Weinan Wang, Affan Bin Usman, Nawid Jamali

    Published 2024-11-01
    “…Our model extracts features from audiovisual data to capture affective behaviors indicative of relational affect. By considering the interpersonal perspectives of both interactants, our model predicts relational affect, enabling real-time understanding of evolving interpersonal dynamics. …”
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    Review on Application of Machine Learning in Detecting Suicidal Ideation for Social Media Users by MENG Xiuyang, WANG Shiyi, LI Dudu, WANG Chunling

    Published 2025-03-01
    “…In recent years, social media platforms have emerged as a novel domain for individuals to express their emotions,  including suicidal ideation, attempts, and behaviors. Consequently, these platforms have evolved into crucial data reposi-  tories and essential assessment criteria for detecting suicidal ideation. …”
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    Overlapping community-based fair influence maximization under a multi-transformation optimization algorithm by Chunfeng Jiang, Zegang Niu, Jingru Qu, Yulan Zhao, Amin Rezaeipanah

    Published 2025-05-01
    “…Despite its importance, optimizing FIM objectives is computationally challenging, and existing methods often neglect the overlapping nature of community structures. …”
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    Classification of Lactate Level Using Resting-State EEG Measurements by Saad Abdulazeez Shaban, Osman Nuri Ucan, Adil Deniz Duru

    Published 2021-01-01
    “…The electroencephalography (EEG) signals have been used widely for studying the brain neural information dynamics and behaviors along with the developing impact of using the machine and deep learning techniques. …”
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