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  1. 18201

    Solving Transport Infrastructure Investment Project Selection and Scheduling Using Genetic Algorithms by Karel Ječmen, Denisa Mocková, Dušan Teichmann

    Published 2024-09-01
    “…The current decision-making process relies heavily on expert judgment and lacks quantitative decision support methods. …”
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    Article
  2. 18202

    How Babies Learn to Move: An Applied Riemannian Geometry Theory of the Development of Visually-Guided Movement Synergies by Peter D. Neilson, Megan D. Neilson

    Published 2025-05-01
    “…From there it can be quickly retrieved by a selection process that provides the appropriate movement synergy compatible with the particular visual goal. …”
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  3. 18203

    DualSight: multi-stage instance segmentation framework for improved precision by Stephen Price, Kiran Judd, Kyle Tsaknopoulos, Rodica Neamtu, Danielle L. Cote

    Published 2025-07-01
    “…With this framework, powder morphology can be extracted more accurately from scanning electron microscope images, enabling a more informed manufacturing process.…”
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  4. 18204
  5. 18205

    YOLOv8n-RF: A Dynamic Remote Control Finger Recognition Method for Suppressing False Detection by Yawen Wang, Gaofeng Wang, Yining Yao

    Published 2025-04-01
    “…Gesture interaction is one of the novel human-computer interaction methods for smart TVs. Addressing the issues of false detection and high detection costs in gesture recognition algorithms for gesture interaction, this paper proposes the YOLOv8n-Remote Finger (YOLOv8n-RF) algorithm for dynamic remote control finger detection. …”
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  6. 18206

    Detection freezing of gait (FOG) in Parkinson's patients using wearable sensors and deep learning by Maryam Talebvand, Amir Lakizadeh, Faranak Fotouhi

    Published 2023-09-01
    “…This paper presents a method for FOG detection based on deep learning and signal processing techniques. The data used for this paper is the Daphnet data collection, which is collected by the wearable sensors on the patient's body. …”
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  11. 18211

    Unsupervised Machine Learning Approaches for Test Suite Reduction by Anila Sebastian, Hira Naseem, Cagatay Catal

    Published 2024-12-01
    “…Therefore, the Test Suite Reduction (TSR) process is of great importance, contributing to the reduction of time and costs in executing test suites for complex software by minimizing the number of test cases to be executed. …”
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  12. 18212
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    Multitask learning multimodal network for chronic disease prediction by Hsinhan Tsai, Ta-Wei Yang, Tien-Yi Wu, Ya-Chi Tu, Cheng-Lung Chen, Cheng-Fu Chou

    Published 2025-05-01
    “…Traditionally, separate models were required to predict different diseases, a process that demanded significant time and computational resources. …”
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  15. 18215
  16. 18216

    You Only Look Once v8 Cattle Identification Based on Muzzle Print Pattern Using ORB and Fast Library for Approximate Nearest Neighbor Algorithms by Allan Josef Balderas, Kaila Mae A. Pangilinan, Meo Vincent C. Caya

    Published 2025-05-01
    “…This study aims to develop computer vision techniques to identify cattle based on their unique muzzle print features. …”
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  17. 18217

    GMTP: Enhanced Travel Time Prediction with Graph Attention Network and BERT Integration by Ting Liu, Yuan Liu

    Published 2024-12-01
    “…(1) Background: Existing Vehicle travel time prediction applications face challenges in modeling complex road network and handling irregular spatiotemporal traffic state propagation. (2) Methods: To address these issues, we propose a Graph Attention-based Multi-Spatiotemporal Features for Travel Time Prediction (GMTP) model, which integrates an enhanced graph attention network (GATv2) and Bidirectional Encoder Representations from Transformers (BERT) to analyze dynamic correlations across spatial and temporal dimensions. The pre-training process consists of two blocks: the Road Segment Interaction Pattern to Enhance GATv2, which generates road segment representation vectors, and a traffic congestion-aware trajectory encoder by incorporating a shared attention mechanism for high computational efficiency. …”
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    Snake-inspired trajectory planning and control for confined pipeline inspection with hyper-redundant manipulators by Junjie Zhu, Mingming Su, Longchuan Li, Yuxuan Xiang, Jianming Wang, Xuan Xiao

    Published 2025-09-01
    “…The approach consists of three processes: insertion, inspection, and exit. The insertion and exit processes utilize the SCA, inspired by snake motion, to significantly reduce path planning time. …”
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