Showing 6,181 - 6,200 results of 6,436 for search '"sensors"', query time: 0.09s Refine Results
  1. 6181

    Dynamic Modeling and Adaptive Robust Synchronous Control of Parallel Robotic Manipulator for Industrial Application by Haiqiang Zhang, Hairong Fang, Qi Zou, Dan Zhang

    Published 2020-01-01
    “…., sliding mode control, high gain control, and high frequency control) are developed, by incorporating the camera sensor technique into adaptive robust synchronous control architecture. …”
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  2. 6182

    Agreement of zero-heat-flux thermometry compared with infrared tympanic temperature monitoring in adults undergoing major surgery by Jingyan Wang, Hao Liang, Congzhe Tian, Guiyuan Rong, Xinfeng Shao, Cheng Ran

    Published 2025-01-01
    “…We conducted a prospective observational study and enrolled 130 patients scheduled for major surgery with general anesthesia. A forehead ZHF sensor (Tzhf) and an infrared tympanic thermometer (Ttym) were used to continuously measure core temperature. …”
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  3. 6183

    Wildfire Susceptibility Mapping using NBR Index and Frequency Ratio Model by Farzad Bolouk Heidari, Ramin Arfania

    Published 2022-06-01
    “…The locations of eight-year fire points from 2013 to 2020 of Nova satellite sensor VIIRS were received and the fire map of each was constructed using the NBR (Normalized Burn Ratio). …”
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  4. 6184

    Uso de GPUs en aplicaciones de tiempo real: Una revisión de técnicas para el análisis y optimización de parámetros temporales by Iosu Gomez, Unai Díaz de Cerio, Jorge Parra, Juan M. Rivas, J. Javier Gutiérrez

    Published 2023-11-01
    “…Los sistemas ciber-físicos que se están proponiendo para este tipo de aplicaciones requieren de una gran capacidad de cómputo (arquitecturas hardware con varios núcleos, GPUs, NPUs…) para poder atender y reaccionar a una múltiple y compleja cantidad de sensores (cámaras, radar, LiDAR, medida de distancia, etc.). …”
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  5. 6185

    In Vitro Aberrometric Assessment of a Multifocal Intraocular Lens and Two Extended Depth of Focus IOLs by Vicente J. Camps, Angel Tolosa, David P. Piñero, Dolores de Fez, María T. Caballero, Juan J. Miret

    Published 2017-01-01
    “…A special optical bench with a Shack-Hartmann wavefront sensor (SH) was designed for the measurement. Three presbyopia correction IOLs were analyzed: Mini WELL (MW), TECNIS Symfony ZXR00 (SYM), and Lentis Mplus X LS-313 MF30 (MP). …”
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  6. 6186

    New digital drilling process monitoring: Instrumentation, validation and calibration by Yanpeng Sun, Zuyu Chen, Fangcai Xu, Yufei Zhao, Ruilang Cao, Dong Li

    Published 2025-01-01
    “…The conventional cable encoder for displacement measurement is replaced with a magnetostrictive displacement sensor, which is more reliable in harsh field drilling environments. …”
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    Article
  7. 6187

    Oxidized DJ-1 Levels in Urine Samples as a Putative Biomarker for Parkinson’s Disease by Jihoon Jang, Soyeon Jeong, Sung Ik Lee, Wongi Seol, Hyemyung Seo, Ilhong Son, Dong Hwan Ho

    Published 2018-01-01
    “…DJ-1 is a PD-causative gene, and it plays a pivotal role as a sensor and eliminator of oxidative stress. Several studies have shown that oxidized DJ-1 (OxiDJ-1) formation is induced by oxidative stress. …”
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  8. 6188

    A comprehensive global mapping of offshore lighting by C. D. Elvidge, T. Ghosh, N. Chatterjee, N. Chatterjee, M. Zhizhin, M. Zhizhin, P. C. Sutton, M. Bazilian

    Published 2025-02-01
    “…<p>We present the first comprehensive multiyear global mapping of offshore lighting structures derived from low-light imaging satellite observations collected at night. The sensor is the day–night band (DNB) flown as part of the NASA/NOAA Visible Infrared Imaging Radiometer Suite (VIIRS). …”
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  9. 6189

    Molecularly Imprinted Polymers-Coated CdTe Quantum Dots for Highly Sensitive and Selective Fluorescent Determination of Ferulic Acid by Zhihong Wang, Ruiqing Long, Mijun Peng, Te Li, Shuyun Shi

    Published 2019-01-01
    “…In optimal conditions, the fluorescence CdTe-QDs@MIPs sensor exhibited fast response (within only 3 min), high sensitivity (limit of detection, LOD at 0.85 μg/l), excellent linear ranges (2–100 μg/l) with a correlation coefficient of 0.9996, and distinguished selectivity for FA. …”
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  10. 6190

    FTA: A Feature Tracking Empirical Model of Auroral Precipitation by Chen Wu, Aaron J. Ridley, Anna D. DeJong, Larry J. Paxton

    Published 2021-05-01
    “…Predictions from the FTA and two other auroral models were compared to the measurements by the Defense Meteorological Satellite Program Special Sensor Ultraviolet Spectrographic Imagers (SSUSI) on March 17, 2013. …”
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  11. 6191

    Reliability of an Inertial Measurement System Applied to the Technical Assessment of Forehand and Serve in Amateur Tennis Players by Lucio Caprioli, Cristian Romagnoli, Francesca Campoli, Saeid Edriss, Elvira Padua, Vincenzo Bonaiuto, Giuseppe Annino

    Published 2025-01-01
    “…This research involved a group of amateur players who performed a series of standardized gestures (forehands and serves) wearing a sensorized chest strap fitted with a wireless inertial unit. …”
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  12. 6192

    HARNESSING ARTIFICIAL INTELLIGENCE FOR SUSTAINABLE AGRICULTURE: A COMPREHENSIVE REVIEW OF AFRICAN APPLICATIONS IN SPATIAL ANALYSIS AND PRECISION AGRICULTURE by Obasi S.N, Tenebe V. A, Obasi C.C, Jokthan G.E, Adjei E.A, Keyagha E.R

    Published 2024-04-01
    “…The project explores adapting precision farming to enhance crop yields, soil health, and mitigate climate change concerns using AI technologies such as sensor-based monitoring and satellite imaging analysis. …”
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  13. 6193

    Desenvolvimento de um sistema de monitoramento automatizado de baixo custo para sistema biológico de tratamento de efluentes por lagoa anaeróbia by Jean Carlos Coelho Pacheco, Wilson de Almeida Orlando Junior, Flaviana Coelho Pacheco, Ana Flávia Coelho Pacheco, Kely de Paula Correa, Paulo Henrique Costa Paiva

    Published 2022-10-01
    “…Para tal, foi empregado um potenciômetro ajustado via regressão com o propósito de determinar o nível de efluente atual da lagoa e um sensor de temperatura que determinar a eficiência de operação, automatizando esse processo de monitoramento facilita a operação no dia a dia na estação de tratamento de efluentes e é passível fazer uma estimativa do período de retenção hidráulica que o efluente permanecerá no sistema de tratamento. …”
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  14. 6194

    Methyl-Arginine Profile of Brain from Aged PINK1-KO+A53T-SNCA Mice Suggests Altered Mitochondrial Biogenesis by Georg Auburger, Suzana Gispert, Nadine Brehm

    Published 2016-01-01
    “…This pathway was further stressed by dysregulations of oxygen sensor EGLN3 and of nuclear TMPO. PSF and TMPO cooperate with dopaminergic differentiation factors LMX1B and NURR1. …”
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  15. 6195

    One-pot green synthesis of BSA-capped O-CQDs as an effective fluorescent sensing platform for sensitive and selective detection of promethazine drug by S. Viji, A. Dinesh, K. Radhakrishnan, L. Srimathi Priya, C. Sivasankari, Madhappan Santhamoorthy, Manikandan Ayyar, V. Mohanavel, Mohamed Hashem, Hassan Fouad, G. Ramachandran, S. Santhoshkumar

    Published 2025-02-01
    “…Obtained results show that BSA-O-CQDs had higher specificity for promethazine Furthermore, their ability to resolve non-specific binding was assessed under simulated physiological backgrounds, demonstrating their promise for robust biosensing applications. This sensor method achieved a high selectivity with LOD of 0.2 μM from range of 10–90 μM indicating its suitability for precise promethazine measurement in environmental samples. …”
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  16. 6196

    Leveraging advanced deep learning and machine learning approaches for snow depth prediction using remote sensing and ground data by Haytam Elyoussfi, Abdelghani Boudhar, Salwa Belaqziz, Mostafa Bousbaa, Karima Nifa, Bouchra Bargam, Abdelghani Chehbouni

    Published 2025-02-01
    “…Study focus: The research integrates remote sensing data, particularly the Normalized-Difference Snow Index (NDSI) from the MODIS Sensor, with machine learning (ML) and deep learning (DL) models to predict daily snow depth (DSD) at a local scale. …”
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  17. 6197

    Toward More Accurate GIC Estimations in the Portuguese Power Network by Joana Alves Ribeiro, Fernando J. G. Pinheiro, Maria Alexandra Pais, Rute Santos, João Cardoso, Pedro Baltazar‐Soares, Fernando A. Monteiro Santos

    Published 2023-06-01
    “…A prototype of a Hall effect sensor has been installed at a substation and is active since the end of August 2021. …”
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  18. 6198

    A Smart Machine Learning Model for the Detection of Brain Hemorrhage Diagnosis Based Internet of Things in Smart Cities by Hang Chen, Sulaiman Khan, Bo Kou, Shah Nazir, Wei Liu, Anwar Hussain

    Published 2020-01-01
    “…This evolutionary field is mainly lead by wireless sensor network, radio frequency identification, and smart mobile technologies. …”
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  19. 6199

    Temporal and Spatial Effect of Surrounding Rock and Supporting Construction of a Large Soil Tunnel by Wanjun Ye, Yuntao Wu, Ming Chen, Chong Gao

    Published 2021-01-01
    “…Based on the Zaosheng No. 3 tunnel of the Yinchuan-Xi’an high-speed railway, the surrounding rock pressure, contact pressure of the primary support, and secondary lining and internal force of the secondary lining concrete are systematically tested using a vibrating wire sensor, and the correlation between the advance construction distance and the surrounding rock release rate is studied with finite element software. …”
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  20. 6200

    A Constrained-Based Optimization Method for Real-Time Kinematics Using Magneto-Inertial Signals: Application to Upper Limb Joint Angles Estimation During Prolonged Recordings by Marco Caruso, Elisa Digo, Laura Gastaldi, Stefano Pastorelli, Andrea Cereatti

    Published 2024-01-01
    “…By comparing results with stereophotogrammetric tracking outputs, the application of constraints - leveraging a priori knowledge of the workspace boundaries for joint centers - enhanced the accuracy of shoulder and elbow angle estimations and effectively mitigated the impact of sensor orientation drift over extended periods. This method ensured that joint centers trajectories remain within task-specific workspace limits, thus preventing deviations that are not compatible with the expected kinematic behavior. …”
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