Measuring Residual Stresses with Crack Compliance Methods: An Ill-Posed Inverse Problem with a Closed-Form Kernel by Marco Beghini, Tommaso Grossi

“…In fact, the original problem is ill-posed. The ill-posedness is anything but a mathematical sophistry; indeed, it profoundly affects the properties of the discretized system too. …”
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GS-ReLoc: A Gaussian-Splatting Relocalization Method for Robust and Accurate Mono Camera Pose Estimation by Karoly Fodor, Andras Rovid

“…The proposed method is evaluated on the indoor 7Scenes and outdoor Cambridge Landmark datasets, and achieves state-of-the-art pose estimation accuracy while maintaining robustness and computational efficiency, demonstrating its practical applicability in real-world relocalization scenarios.…”
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Robust Underwater Vehicle Pose Estimation via Convex Optimization Using Range-Only Remote Sensing Data by Sai Krishna Kanth Hari, Kaarthik Sundar, José Braga, João Teixeira, Swaroop Darbha, João Sousa

“…Finally, we recover the vehicle’s full 6-DOF pose by enforcing rigid-body constraints on the estimated receiver positions. …”
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EVOLUTION OF HEMOGLOBINOPATHY PREVENTION IN AFRICA by Slaheddine Fattoum

“…Hereby we present the Tunisian experience that may reflect globally the profile of the prevention evolution of hemoglobinopathies in North Africa.…”
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AGMA-PESS: a deep learning-based infant pose estimator and sequence selector software for general movement assessment by Ameur Soualmi, Ameur Soualmi, Olivier Alata, Christophe Ducottet, Anne Petitjean-Robert, Aurélie Plat, Hugues Patural, Hugues Patural, Antoine Giraud, Antoine Giraud

“…We introduce the AGMA Pose Estimator and Sequence Selector (AGMA-PESS) software, based on the state-of-the-art deep learning infant pose estimation network, to automatically select the video sequences for GMA at preterm and writhing ages and estimate the pose of infants in 2D. …”
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GCN-Transformer: Graph Convolutional Network and Transformer for Multi-Person Pose Forecasting Using Sensor-Based Motion Data by Romeo Šajina, Goran Oreški, Marina Ivašić-Kos

“…Additionally, we propose a novel pose forecasting evaluation metric called Final Joint Position and Trajectory Error (FJPTE), which assesses both local movement dynamics and global movement errors by considering the final position and the trajectory leading up to it, providing a more comprehensive assessment of movement dynamics. …”
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Smartphone video-based early diagnosis of blepharospasm using dual cross-attention modeling enhanced by facial pose estimation by Shenyu Huang, Boyuan Yang, Xiaoling Huang, Huina Zhang, Dong Luo, Guanchao Tong, Yijie Wang, Yongqing Shao, Menglu Chen, Qi Gao, Juan Ye

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Evolution of Cyberterrorism: Challenges and Solutions by Mücahit Ergün, Gülşen Şeker Aydın

“…Cyberterrorism is an important international relations issue as it poses formidable challenges to international security due to its unanimity and easier reach to broad masses. …”
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Filters comprised of sand and Zero Valent Iron hold promise as tools to mitigate risk posed by Cyclospora cayetanensis oocysts by C. Yeager, M. Tucker, A. Gutierrez, C. O'Brien, M. Sharma, V. Fournet, J.P. Dubey, M. Jenkins, K. Kniel, B.M. Rosenthal

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Assessment of Availability and Human Health Risk Posed by Arsenic Contaminated Well Waters from Timis-Bega Area, Romania by Marin Senila, Erika Levei, Oana Cadar, Lacrimioara Ramona Senila, Marius Roman, Ferenc Puskas, Mihaela Sima

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Robot-Based Procedure for 3D Reconstruction of Abdominal Organs Using the Iterative Closest Point and Pose Graph Algorithms by Birthe Göbel, Jonas Huurdeman, Alexander Reiterer, Knut Möller

“…The procedure is evaluated quantitatively and qualitatively on ex vivo organs. …”
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Toward Real-Time Recognition of Continuous Indian Sign Language: A Multi-Modal Approach Using RGB and Pose by M. Geetha, Neena Aloysius, Darshik A. Somasundaran, Amritha Raghunath, Prema Nedungadi

“…The CNN is pre-trained using ISL word videos, while the Transformer is pre-trained on Mediapipe pose estimates from ISL videos. This pretraining effectively captures the nuances of hand shapes and body movements unique to ISL, significantly enhancing sentence recognition. …”
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A fast monocular 6D pose estimation method for textureless objects based on perceptual hashing and template matching by Jose Moises Araya-Martinez, Jose Moises Araya-Martinez, Vinicius Soares Matthiesen, Vinicius Soares Matthiesen, Simon Bøgh, Jens Lambrecht, Rui Pimentel de Figueiredo

“…Object pose estimation is essential for computer vision applications such as quality inspection, robotic bin picking, and warehouse logistics. …”
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Automated Implementation of the Edinburgh Visual Gait Score (EVGS) by Ishaasamyuktha Somasundaram, Albert Tu, Ramiro Olleac, Natalie Baddour, Edward D. Lemaire

“…The system uses OpenPose for pose estimation and new algorithms for automatic gait event detection, stride segmentation, and computation of the 17 EVGS parameters across the sagittal and coronal planes. …”
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Automated Deadlift Techniques Assessment and Classification Using Deep Learning by Wegar Lien Grymyr, Isah A. Lawal

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Automated Video Assistant Referee in Lead Climbing by Eliane Künzler, David Roder, Urs Stöcker, Peter Wolf

“…Thus, a total of ten videos from Villar (outdoor) were analysed – five uncropped (five men), five with focus (women) – and ten videos from Lenzburg (indoor) – five uncropped (five women), five with focus (five men). As a first step, two pose estimators were evaluated regarding processing speed in frames per second (FPS) and percentage of frames in which a pose was detected: BlazePose from Google which has already been used for climbing research (Kim et al., 2023) and Real-Time Multi-Person Pose Estimation (RTMO) (Lu et al., 2024). …”
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Validation of a 3D Markerless Motion Capture Tool Using Multiple Pose and Depth Estimations for Quantitative Gait Analysis by Mathis D’Haene, Frédéric Chorin, Serge S. Colson, Olivier Guérin, Raphaël Zory, Elodie Piche

“…Traditional marker-based motion capture tools are costly, time-consuming, and require skilled operators. This study evaluated a 3D Marker-less Motion Capture (3D MMC) system using pose and depth estimations with the gold-standard Motion Capture (MOCAP) system for measuring hip and knee joint angles during gait at three speeds (0.7, 1.0, 1.3 m/s). …”
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Experimental study of a novel contact-based pose detection approach for digital twin-driven high-precision micro assembly by Nazeer Bilal, Pradeep Carol Santhosh, Vargas Patricia A., Erden Mustafa Suphi, Kong Xianwen

“…This study presents a comprehensive study of a novel Contact-Based Pose Estimation Method (CBPEM) for enhancing precision in robotic assembly processes within digital twin frameworks. …”
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Deep Learning-Based Real-Time 6D Pose Estimation and Multi-Mode Tracking Algorithms for Citrus-Harvesting Robots by Hyun-Jung Hwang, Jae-Hoon Cho, Yong-Tae Kim

“…In the agricultural sector, utilizing robots for tasks such as fruit harvesting poses significant challenges, particularly in achieving accurate 6D pose estimation of the target objects, which is essential for precise and efficient harvesting. …”
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Socioeconomic inequities in prostate cancer care: private versus public treatment settings pose a significant impact on overall survival by Amanda Caroline de Souza Costa, Fernando Korkes, Jose Augusto Rinck Junior, Frederico Timóteo Silva Cunha, Luciana Holtz de Camargo Barros, Stênio de Cássio Zequi, Maria Nirvana da Cruz Formiga

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