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  1. 1381

    Time-Series Image-Based Automated Monitoring Framework for Visible Facilities: Focusing on Installation and Retention Period by Seonjun Yoon, Hyunsoo Kim

    Published 2025-01-01
    “…The system utilizes YOLOv5 for detecting jack supports in both construction drawings and on-site images captured through wearable cameras, while optical character recognition (OCR) and natural language processing (NLP) extract installation and dismantling timelines from work orders. …”
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  2. 1382

    Strategy for Reducing Stunting Rate Using Analytical Hierarchy Process in Garut District by Mila Karmila, Ikeu Kania, Mochammad Iqbal Fadhlurrohman, Dena Ananda Hilmaniah

    Published 2024-07-01
    “…Additionally, supplementary data was obtained from literature reviews, interview guidelines, recording equipment, and cameras used as research instruments. The analysis method uses the Analytical Hierarchy Process method along with an analysis tool called Expert Choice software to make choosing the most important criteria, sub-criteria, and options easier. …”
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  3. 1383

    Fatigue State Evaluation of Urban Railway Transit Drivers Using Psychological, Biological, and Physical Response Signals by Hao Wu, Yubo Jiao, Chaozhe Jiang, Tong Wang, Jiangbo Yu

    Published 2025-01-01
    “…Moreover, we utilized heart rate signals, electrodermal activity, and eye movements from wearable devices and cameras to build a driver fatigue detection model with machine-learning methods. …”
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  4. 1384

    Predicting Traffic Accident Risk in Seoul Metropolitan City: A Dataset Construction Approach by Ji-Woong Yang, Hyeon-Jin Jung, Tae-Wook Kim, Han-Jin Lee, Ellen J. Hong

    Published 2025-01-01
    “…The data encompasses various aspects such as traffic accidents, weather conditions, standard node links, traffic speed, Points of Interest (POI), solar altitude and azimuth, speed bumps, and traffic surveillance cameras. Most of this data is available from national public institutions, with some being computed through specific formulas. …”
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  5. 1385

    Analysis of Spiders’ Joint Kinematics and Driving Modes under Different Ground Conditions by Xin Hao, Wenxing Ma, Chunbao Liu, Yilei Li, Zhihui Qian, Luquan Ren, Lei Ren

    Published 2019-01-01
    “…The movement characteristics and joint kinematics of Grammostola rosea legs were captured by high-speed cameras and Simi Motion 3D tracking software. These observations showed that the gait pattern was basically consistent with an alternating tetrapod gait; however, the pattern observed on the sloped soft pavement was slightly different from that of the two horizontal pavements. …”
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  6. 1386

    Paddy Crop and Weed Discrimination: A Multiple Classifier System Approach by Radhika Kamath, Mamatha Balachandra, Srikanth Prabhu

    Published 2020-01-01
    “…Digital images of paddy crops and weeds from the paddy fields were acquired using three different cameras fixed at different heights from the ground. …”
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  7. 1387

    Influences of footstrike patterns and overground conditions on lower extremity kinematics and kinetics during running: Statistical parametric mapping analysis. by Yifang Zhuang, Wenxing Zhou, Ziwei Zeng, Shiwei Mo, Lin Wang

    Published 2025-01-01
    “…A motion capture system with ten cameras combined a force plate was used to collect marker trajectory and ground reaction force (GRF) during the running stance phase. …”
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  8. 1388

    VR-based body tracking to stimulate musculoskeletal training by Neidhardt M., Gerlach S., Schmidt F. N., Fiedler I. A. K., Grube S., Busse B., Schlaefer A.

    Published 2024-09-01
    “…In this work, we evaluate whether the movement data of the HoloLens 2 alone is sufficient to control and predict body movement and joint angles during musculoskeletal training.We record the movements of 10 healthy volunteers with external tracking cameras and track a set of body and joint angles of the participant during training. …”
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  9. 1389

    René Dumont ou le socialisme « de l’arbre et du jardin » by Alexis Vrignon

    Published 2016-01-01
    “…De René Dumont (1904-2001), le grand public ne conserve souvent que quelques souvenirs associés pour la plupart à la campagne présidentielle de 1974. Devant les caméras, l’homme en colère, affublé d’un pull-over rouge, met en garde contre la disparition prochaine de l’eau potable et s’indigne de la persistance de la faim dans le tiers-monde. …”
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  10. 1390

    Revolutionizing Diabetic Retinopathy Screening: Integrating AI-Based Retinal Imaging in Primary Care by Dean Beals, Lesley Simon, Faith Rogers, Stan Pogroszewski

    Published 2025-12-01
    “…We describe a quality improvement and continuing medical education programme, starting in 2020, which has so far deployed 198 AI-equipped cameras in 5 health systems, covering approximately 151,000 patients with diabetes. …”
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  11. 1391

    Accuracy and Usability of Smartphone-Based Distance Estimation Approaches for Visual Assistive Technology Development by Giles Hamilton-Fletcher, Mingxin Liu, Diwei Sheng, Chen Feng, Todd E. Hudson, John-Ross Rizzo, Kevin C. Chan

    Published 2024-01-01
    “…<italic>Methods:</italic> We tested five smartphone-based distance-estimation approaches in the image center and periphery at 1&#x2013;3 meters, including machine learning (CoreML), infrared grid distortion (IR_self), light detection and ranging (LiDAR_back), and augmented reality room-tracking on the front (ARKit_self) and back-facing cameras (ARKit_back). <italic>Results:</italic> For accuracy in the image center, all approaches had &lt;&#x00B1;2.5 cm average error, except CoreML which had &#x00B1;5.2&#x2013;6.2 cm average error at 2&#x2013;3 meters. …”
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  12. 1392

    Asian Options Pricing and Parameter Estimation of Uncertain Mean-Reverting Currency Model With Exponential Ornstein–Uhlenbeck Exchange Rate by Lujun Zhou, Zhigang Fu

    Published 2025-01-01
    “…The parameters of the model are estimated using real financial data from Canada and the United States, including the Canadian Overnight Repo Rate Average (CORRA), the American Federal Funds Effective Rate (AFFER), and the monthly average exchange rate of the US Dollar to the Canadian Dollar (USDCAD). …”
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  13. 1393

    Spatio-Temporal Segmented Traffic Flow Prediction with ANPRS Data Based on Improved XGBoost by Bo Sun, Tuo Sun, Pengpeng Jiao

    Published 2021-01-01
    “…In order to achieve fine prediction, a generalized extended-segment data acquirement mode is added by incorporating information of Automatic Number Plate Recognition System (ANPRS) from exits and entrances of toll stations and acquired by mathematical OD calculation indirectly without cameras. Abnormal data preprocessing and spatio-temporal relationship matching are conducted to ensure the effectiveness of prediction. …”
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  14. 1394

    "Cariños de tu mamá que no te olvida”: migraciones, maternidades asiladas y discurso médico en Buenos Aires (1900-1930) by Stefania Cardonetti

    Published 2024-01-01
    “…A través del entrecruzamiento de fuentes que incluyen historias clínicas del Asilo de Alienadas de Lomas de Zamora y legajos de menores de la Sociedad de Beneficencia, este artículo da cuenta de las prescripciones emocionales del discurso médico respecto a la experiencia de la maternidad y de las experiencias emocionales de las mujeres que transitaron el camino de la medicalización y el encierro. …”
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  15. 1395

    Mosquito‐derived ingested DNA as a tool for monitoring terrestrial vertebrates within a peri‐urban environment by Christine Chivas, Adam Stow, Andrew Harford, Thomas J. Mooney, David Loewensteiner, Kate Montgomery, Anthony Chariton

    Published 2025-01-01
    “…Monitoring and detection approaches are traditionally reliant on capture (traps and cameras), as well as observations. However, these approaches are time‐consuming and skewed toward the detection of large and/or common species. …”
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  16. 1396

    Assessment methods for bicycle environment safety and comfort: A scoping review by Tufail Ahmed, Ali Pirdavani, Irene Febryana Sitohang, Geert Wets, Davy Janssens

    Published 2025-06-01
    “…Questionnaires (evaluation platforms), bicycles, GIS, and video cameras were the most commonly used equipment/resources. …”
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  17. 1397

    Edge Computing-Based Machine Vision for Non-Invasive and Rapid Soft Sensing of Mushroom Liquid Strain Biomass by Libin Wu, Guimiao Xiao, Deyao Huang, Xiandong Zhang, Dapeng Ye, Haiyong Weng

    Published 2025-01-01
    “…In our experiment, the hardware of the Edge CV system includes the Jetson Nano with 4 GB RAM, 64 GB ROM, and a 128-core Maxwell GPU for executing intelligent machine vision tasks, along with embedded cameras for image data acquisition. Furthermore, a cascaded machine vision model was developed to enable biomass evaluation on the Edge CV system. …”
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  18. 1398

    Designing an internet of things laboratory to improve student understanding of secure IoT systems by A. Ravishankar Rao, Angela Elias-Medina

    Published 2024-01-01
    “…These include barcode scanners, cameras, fingerprint sensors, and pulse sensors. These devices cover important functions such as patient identification, monitoring, and creating electronic health records. …”
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  19. 1399

    From Antenna Design to High Fidelity, Full Physics Automotive Radar Sensor Corner Case Simulation by Ushemadzoro Chipengo, Peter M. Krenz, Shawn Carpenter

    Published 2018-01-01
    “…Various sensors such as lidar (light detection and ranging), radar (radio detection and ranging), ultrasonic, and optical cameras are employed to provide situational awareness to vehicles in a highly dynamic environment. …”
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  20. 1400

    Unravelling the multi-scale structure of vertebrate scavenger communities: The role of beta-diversity in livestock carcass consumption by María Eugenia Cabrera-García, Patricia Mateo-Tomás, José Hernán Sarasola, Juan I. Zanón Martínez, Beatriz Martínez-Miranzo, Pedro P. Olea

    Published 2025-03-01
    “…A total of 31 carcasses, 22 of cow and nine of sheep, were monitored using remote cameras in cropland and natural habitats, recording consumption by 10 vertebrate species (four birds and six mammals). 50 % of scavenger species were observed at carcass level (α1 = 4.94 species), a contribution lower than expected by chance. …”
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