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  1. 21

    Assessing Student Teachers’ Ability in Posing Mathematical Reasoning Problems by Masriyah, Ahmad Wachidul Kohar, Endah Budi Rahaju, Dini Kinati Fardah, Umi Hanifah

    Published 2024-06-01
    “…However, most of the posed problems are categorised as ‘analyse’ problems instead of ‘evaluate’ or ‘create’ problems.…”
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    Article
  2. 22

    Semantic-aware style transfer for unsupervised aircraft pose estimation by Qifeng Luo, Danya Zhou, Zhenzhong Wei

    Published 2025-07-01
    “…Extensive experiments demonstrate that our style transfer method outperforms existing approaches in both qualitative and quantitative evaluations. Particularly, our unsupervised pose estimation method achieves a 3.39% higher proportion of predictions with errors under 10 $$^\circ $$ ∘ compared to the best supervised baseline. …”
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  3. 23

    A Mobile AR Computer-Aided Diagnosis: 6 DoF Brain Tumor Pose Estimator Using a Fine-Tuned EfficientPose-Based Model by Kahina Amara, Mohamed Amine Guerroudji, Oussama Kerdjidj, Nadia Zenati, Shadi Atalla, Wathiq Mansoor, Naeem Ramzan

    Published 2025-01-01
    “…Our application offers automatic brain tumour segmentation, 6 degrees of freedom (6 DoF) phantom head pose estimation, AR visualisation, and interaction, eliminating the need for expensive head-mounted devices (HMD). …”
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  4. 24

    Evaluating Assistive Technology Outcomes in Boccia Athletes with Disabilities Using AI-Based Kinematic Analysis by Wann-Yun Shieh, Yan-Ying Ju, Shiu-Yuan Yang, I-Chun Chen, Hsin-Yi Kathy Cheng

    Published 2025-06-01
    “…AI-enhanced 2D and 3D pose estimation methods were applied to assess throwing strategies and motor variability. …”
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    Article
  5. 25

    Synergistic application of molecular docking and machine learning for improved binding pose by Li Yaqi, Lin Hongrui, Yang He, Yuan Yannan, Zou Rongfeng, Zhou Gengmo, Zheng Linfeng, Zheng Hang

    Published 2024-03-01
    “…Subsequently, position-restricted docking on predicted binding poses is performed using Uni-Dock, generating physically constrained and valid binding poses. …”
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  6. 26

    Reducing Head Pose Estimation Data Set Bias With Synthetic Data by Roberto Valle, Jose M. Buenaposada, Luis Baumela

    Published 2025-01-01
    “…This issue is especially evident in the estimation of head pose, as current data sets suffer from a limited number of images, imbalanced data distributions, the high cost of annotation, and ethical concerns. …”
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  7. 27

    Robust Camera Pose Estimation from Line Correspondences Using GNC by Hans K.R. Holen, Torbjørn Smith, Olav Egeland

    Published 2024-10-01
    “…The approach estimates camera pose from 2D-3D line correspondences where outliers are in the form of line mismatches. …”
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    Article
  8. 28

    SAGCN: Self-Attention Graph Convolutional Network for Human Pose Embedding by Zhongxiong Xu, Jiajun Hong, Yicong Yu, Chengzhu Lin, Linfei Yu, Meixian Xu

    Published 2025-01-01
    “…Accurate human pose embedding is crucial for action recognition. …”
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    Evaluating the effectiveness of facial actions features for the early detection of driver drowsiness in driving safety monitoring system by Yenny Rahmawati, Kuntpong Woraratpanya, Igi Ardiyanto, Hanung Adi Nugroho

    Published 2025-07-01
    “…Traffic accidents caused by drowsiness continue to pose a serious threat to road safety. Many of these accidents can be prevented by alerting drivers when they begin to feel sleepy. …”
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    Article
  13. 33

    A Survey of the State of the Art in Monocular 3D Human Pose Estimation: Methods, Benchmarks, and Challenges by Yan Guo, Tianhan Gao, Aoshuang Dong, Xinbei Jiang, Zichen Zhu, Fuxin Wang

    Published 2025-04-01
    “…Three-dimensional human pose estimation (3D HPE) from monocular RGB cameras is a fundamental yet challenging task in computer vision, forming the basis of a wide range of applications such as action recognition, metaverse, self-driving, and healthcare. …”
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  14. 34

    Accuracy evaluation of dental CBCT and scanned model registration method based on pulp horn mapping surface: an in vitro proof-of-concept by Dianhao Wu, Jingang Jiang, Jinke Wang, Shan Zhou, Kun Qian

    Published 2024-07-01
    “…Abstract Background and aim 3D fusion model of cone-beam computed tomography (CBCT) and oral scanned data can be used for the accurate design of root canal access and guide plates in root canal therapy (RCT). However, the pose accuracy of the dental pulp and crown in data registration has not been investigated, which affects the precise implementation of clinical planning goals. …”
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    Reviewing 6D Pose Estimation: Model Strengths, Limitations, and Application Fields by Kostas Ordoumpozanis, George A Papakostas

    Published 2025-03-01
    “…This study aims to create a model selection guide by addressing key questions we need to answer when we want to select a 6D pose estimation model: inputs, modalities, real-time capabilities, hardware requirements, evaluation datasets, performance metrics, strengths, limitations, and special attributes such as symmetry or occlusion handling. …”
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  18. 38

    Review of models for estimating 3D human pose using deep learning by Sani Salisu, Kamaluddeen Usman Danyaro, Maged Nasser, Israa M. Hayder, Hussain A. Younis

    Published 2025-02-01
    “…Human pose estimation (HPE) is designed to detect and localize various parts of the human body and represent them as a kinematic structure based on input data like images and videos. …”
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  19. 39

    Can BlazePose accurately assess joint angles in outdoor running environments? by Srinivasan Hari Krishnan, Mathunny Jaison Jacob, Devaraj Ashokkumar, Gogoi Hemantajit, Govindasamy Karuppasamy, Karthik Varshini

    Published 2025-01-01
    “…This study aims to validate and evaluate the accuracy of BlazePose for measuring hip, knee, and ankle joint angles at key gait events, initial contact (IC), midstance (MS), and toe-off (TO) in outdoor running.…”
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  20. 40

    An Approach using Skeleton-based Representations and Neural Networks for Yoga Pose Recognition by Nguyen Hai Thanh, Truong Nguyen Nhat, Pham Linh Thuy Thi, Pham Ngoc Huynh

    Published 2025-01-01
    “…The classification models were used to train recognition and classification of yoga poses. The models were trained and evaluated on a dataset of 3939 images of 10 yoga poses. …”
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