Gotowa bibliografia na temat „Rail area detection”
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Artykuły w czasopismach na temat "Rail area detection"
Fang, Zhongbin, Xiaojie Huang, Kangquan Ye, et al. "An algorithm for extracting groove rail area based on improved Hough transform." MATEC Web of Conferences 336 (2021): 02025. http://dx.doi.org/10.1051/matecconf/202133602025.
Pełny tekst źródłaChoi, Jung-Youl, and Jae-Min Han. "Deep Learning (Fast R-CNN)-Based Evaluation of Rail Surface Defects." Applied Sciences 14, no. 5 (2024): 1874. http://dx.doi.org/10.3390/app14051874.
Pełny tekst źródładi Scalea, Francesco Lanza, Ivan Bartoli, Piervincenzo Rizzo, and Mahmood Fateh. "High-Speed Defect Detection in Rails by Noncontact Guided Ultrasonic Testing." Transportation Research Record: Journal of the Transportation Research Board 1916, no. 1 (2005): 66–77. http://dx.doi.org/10.1177/0361198105191600110.
Pełny tekst źródłaWang, Zhangyu, Xinkai Wu, Guizhen Yu, and Mingxing Li. "Efficient Rail Area Detection Using Convolutional Neural Network." IEEE Access 6 (2018): 77656–64. http://dx.doi.org/10.1109/access.2018.2883704.
Pełny tekst źródłaTverdomed, Volodymyr, Anatoliy Gorban, and Lesia Kushmar. "Image segmentation method of rail head defects and area measurement of selected segments." MATEC Web of Conferences 390 (2024): 04008. http://dx.doi.org/10.1051/matecconf/202439004008.
Pełny tekst źródłaLi, Liming, Rui Sun, Shuguang Zhao, Xiaodong Chai, Shubin Zheng, and Ruichao Shen. "Semantic-Segmentation-Based Rail Fastener State Recognition Algorithm." Mathematical Problems in Engineering 2021 (March 2, 2021): 1–15. http://dx.doi.org/10.1155/2021/8956164.
Pełny tekst źródłaShen, Tuo, Jinhuang Zhou, Tengfei Yuan, Yuanxiang Xie, and Xuanxiong Zhang. "LiDAR-Based Urban Three-Dimensional Rail Area Extraction for Improved Train Collision Warnings." Sensors 24, no. 15 (2024): 4963. http://dx.doi.org/10.3390/s24154963.
Pełny tekst źródłaCao, Jinghao, Yang Li, and Sidan Du. "Robust Artificial Intelligence-Aided Multimodal Rail-Obstacle Detection Method by Rail Track Topology Reconstruction." Applied Sciences 14, no. 7 (2024): 2795. http://dx.doi.org/10.3390/app14072795.
Pełny tekst źródłaZheng, Danyang, Liming Li, Shubin Zheng, et al. "A Defect Detection Method for Rail Surface and Fasteners Based on Deep Convolutional Neural Network." Computational Intelligence and Neuroscience 2021 (July 29, 2021): 1–15. http://dx.doi.org/10.1155/2021/2565500.
Pełny tekst źródłaSignore, James M., Mohamed G. Abdel-Maksoud, and Barry J. Dempsey. "Fiber-Optic Sensing Technology for Rail-Buckling Detection." Transportation Research Record: Journal of the Transportation Research Board 1584, no. 1 (1997): 41–45. http://dx.doi.org/10.3141/1584-06.
Pełny tekst źródłaRozprawy doktorskie na temat "Rail area detection"
Shrestha, Survesh Bahadur. "Defect Detection on Rail Base Area Using Infrared Thermography." OpenSIUC, 2020. https://opensiuc.lib.siu.edu/theses/2758.
Pełny tekst źródłaGlisson, Wesley J., Courtney J. Conway, Christopher P. Nadeau, and Kathi L. Borgmann. "Habitat models to predict wetland bird occupancy influenced by scale, anthropogenic disturbance, and imperfect detection." WILEY, 2017. http://hdl.handle.net/10150/625200.
Pełny tekst źródłaChiang, Lee-Chen, and 姜禮城. "Ⅰ. Determination of the Chemical Oxgen Demand. Ⅱ. Determination the Efficiency of Detection Chemical Components and Physical Components for the Rainwater in Jong-Lih Area by Acid rain Automatic Monitoring." Thesis, 1999. http://ndltd.ncl.edu.tw/handle/85025288337277938831.
Pełny tekst źródłaKsiążki na temat "Rail area detection"
Office, General Accounting. Air pollution: Improvements needed in detecting and preventing violations : report to the chairman, Subcommittee on Oversight and Investigations, Committee on Energy and Commerce, House of Representatives. GAO, 1990.
Znajdź pełny tekst źródłaCzęści książek na temat "Rail area detection"
Migliaccio, M., F. Nunziata, A. Marino, C. Brekke, and S. Skrunes. "Ocean Applications." In Polarimetric Synthetic Aperture Radar. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-56504-6_6.
Pełny tekst źródłaSinatra, Tiin, Edy Maryadi, Syahrul, Syukri Darmawan, Ginaldi Ari Nugroho, and Asif Awaludin. "Evaluation of Detecting and Tracking Algorithms of Reflectivity Area Based on Rain Scanner Observation Data." In Springer Proceedings in Physics. Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-19-9768-6_74.
Pełny tekst źródłaRamos Helena G., Rocha Tiago J., Pasadas Dário J., and Ribeiro A. Lopes. "Defect Detection with Velocity Induced Eddy Currents Using a Permanent Magnet." In Studies in Applied Electromagnetics and Mechanics. IOS Press, 2014. https://doi.org/10.3233/978-1-61499-407-7-263.
Pełny tekst źródłaMalinskiy, S. V., A. V. Abramov, and V. O. Sharova. "AUTOMATIC DETERMINATION OF DANGEROUS RAILWAY SECTIONS BOUNDARIES." In Intelligent Transportation Systems. FSBEO HPE Moscow State University of Railway Engineering (MIIT), 2025. https://doi.org/10.30932/9785002587582-2025-624-630.
Pełny tekst źródłaV. Ngo, Binh, and Ya-Fu Lee. "Ecology of the Granular Spiny Frog Quasipaa verrucospinosa (Amphibia: Anura - Dicroglossidae) in Central Vietnam." In Protected Area Management - Recent Advances. IntechOpen, 2022. http://dx.doi.org/10.5772/intechopen.99656.
Pełny tekst źródłaKohli, Shruti. "Exploring Cyber Security Vulnerabilities in the Age of IoT." In Detecting and Mitigating Robotic Cyber Security Risks. IGI Global, 2017. http://dx.doi.org/10.4018/978-1-5225-2154-9.ch014.
Pełny tekst źródłaJia, Qiang, Feng Han, Yuan Li, Miaomiao Qi, and Zhibo Liu. "Track Damage Recognition Algorithm Based on Improved Convolution." In Advances in Transdisciplinary Engineering. IOS Press, 2020. http://dx.doi.org/10.3233/atde200232.
Pełny tekst źródłaRoy, Gargi, Debodyuti Upadhaya, Partha Das, et al. "AUTOMATIC RAILWAY LEVEL CROSSING SYSTEM & TRAFFIC MANAGEMENT WITH REAL TIME MONITORING." In Proceedings of International Conference on Engineering Materials and Sustainable Societal Development [ICEMSSD 2024]. Iterative International Publishers (IIP), Selfypage Developers Pvt Ltd., 2025. https://doi.org/10.58532/nbennuricemssd16.
Pełny tekst źródłaN. Ramos-Bernal, Rocío, René Vázquez-Jiménez, Sulpicio Sánchez Tizapa, and Roberto Arroyo Matus. "Characterization of Susceptible Landslide Zones by an Accumulated Index." In Landslides - Investigation and Monitoring. IntechOpen, 2020. http://dx.doi.org/10.5772/intechopen.89828.
Pełny tekst źródłaJepri Sutanto, Ratih Luhuring Tyas, Desi Listianti, and Joko Triyanto. "Reliability Of of Radiation Portal Monitor Using False Alarm Testing." In Prosiding Seminar Nasional Aplikasi Isotop dan Radiasi 2021: Peran Isotop dan Radiasi untuk Indonesia yang Berdaya Saing. Penerbit BRIN, 2023. http://dx.doi.org/10.55981/brin.690.c659.
Pełny tekst źródłaStreszczenia konferencji na temat "Rail area detection"
Beggs, Joel, and John H. Fitzgerald. "Preparing Gas Distribution Piping for the Construction of a Light Rail Transit System." In CORROSION 2003. NACE International, 2003. https://doi.org/10.5006/c2003-03711.
Pełny tekst źródłaSchütte, Jörg, and Sven Scholz. "Recent Experience on Guideway Intrusion Detection System Implementations." In 2017 Joint Rail Conference. American Society of Mechanical Engineers, 2017. http://dx.doi.org/10.1115/jrc2017-2334.
Pełny tekst źródłaLin, Tu-Huan, Yu-Lin Shih, Jyh-Cherng Jong, and Chian-Shan Suen. "Development of an Intelligent Module Used in Railway Level Crossings to Solve the Safety and Punctuality Issues in Urban Area." In 2017 Joint Rail Conference. American Society of Mechanical Engineers, 2017. http://dx.doi.org/10.1115/jrc2017-2220.
Pełny tekst źródłaFrison, Benjamin, and David Y. Jeong. "Rail Integrity Experience on the Washington Metro System." In 2016 Joint Rail Conference. American Society of Mechanical Engineers, 2016. http://dx.doi.org/10.1115/jrc2016-5710.
Pełny tekst źródłaHu, Ping, Joseph A. Turner, Constantine Tarawneh, Brent Wilson, and Allen J. Fuller. "Multiple Frequency Ultrasonic Detection of Subsurface Near-Race Inclusions for Improved Fatigue Life Performance." In 2015 Joint Rail Conference. American Society of Mechanical Engineers, 2015. http://dx.doi.org/10.1115/jrc2015-5785.
Pełny tekst źródłaDe Los Santos, Nancy, Robert Jones, Constantine M. Tarawneh, Arturo Fuentes, and Anthony Villarreal. "Development of Prognostic Techniques for Surface Defect Growth in Railroad Bearing Rolling Elements." In 2017 Joint Rail Conference. American Society of Mechanical Engineers, 2017. http://dx.doi.org/10.1115/jrc2017-2262.
Pełny tekst źródłaThurston, David F. "Highway Crossing Control Using PTC Technology." In 2013 Joint Rail Conference. American Society of Mechanical Engineers, 2013. http://dx.doi.org/10.1115/jrc2013-2493.
Pełny tekst źródłaDing, Yi, and Li R. Cheng. "High Speed Overload and Imbalance Load System in China." In 2018 Joint Rail Conference. American Society of Mechanical Engineers, 2018. http://dx.doi.org/10.1115/jrc2018-6223.
Pełny tekst źródłaDe Los Santos, Nancy, Constantine M. Tarawneh, Robert E. Jones, and Arturo Fuentes. "Defect Prognostics Models for Spall Growth in Railroad Bearing Rolling Elements." In 2018 Joint Rail Conference. American Society of Mechanical Engineers, 2018. http://dx.doi.org/10.1115/jrc2018-6214.
Pełny tekst źródłaFukuoka, Tomotaka, Takahiro Minami, Makoto Fujiu, and Junichi Takayama. "Study of filming condition for deep learning based crack detection method." In 6th International Conference on Road and Rail Infrastructure. University of Zagreb Faculty of Civil Engineering, 2021. http://dx.doi.org/10.5592/co/cetra.2020.1059.
Pełny tekst źródłaRaporty organizacyjne na temat "Rail area detection"
Butler, Christopher, and Tabitha Olsen. Inventory of eastern black rail (Laterallus jamaicensis) to Inform Padre Island National Seashore prescribed fire management. National Park Service, 2025. https://doi.org/10.36967/2311590.
Pełny tekst źródłaPaxton, Barton, and Chance Hines. Black rail inventory at Cape Lookout and Cape Hatteras national seashores. National Park Service, 2024. http://dx.doi.org/10.36967/2304485.
Pełny tekst źródłaZhang, Renduo, and David Russo. Scale-dependency and spatial variability of soil hydraulic properties. United States Department of Agriculture, 2004. http://dx.doi.org/10.32747/2004.7587220.bard.
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