Artykuły w czasopismach na temat „Traffic pattern recognition”
Utwórz poprawne odniesienie w stylach APA, MLA, Chicago, Harvard i wielu innych
Sprawdź 50 najlepszych artykułów w czasopismach naukowych na temat „Traffic pattern recognition”.
Przycisk „Dodaj do bibliografii” jest dostępny obok każdej pracy w bibliografii. Użyj go – a my automatycznie utworzymy odniesienie bibliograficzne do wybranej pracy w stylu cytowania, którego potrzebujesz: APA, MLA, Harvard, Chicago, Vancouver itp.
Możesz również pobrać pełny tekst publikacji naukowej w formacie „.pdf” i przeczytać adnotację do pracy online, jeśli odpowiednie parametry są dostępne w metadanych.
Przeglądaj artykuły w czasopismach z różnych dziedzin i twórz odpowiednie bibliografie.
Zhang, Yuanqiang, i Weifeng Li. "Dynamic Maritime Traffic Pattern Recognition with Online Cleaning, Compression, Partition, and Clustering of AIS Data". Sensors 22, nr 16 (22.08.2022): 6307. http://dx.doi.org/10.3390/s22166307.
Pełny tekst źródłaWu, Jian, Zhiming Cui, Victor S. Sheng, Yujie Shi i Pengpeng Zhao. "Mixed Pattern Matching-Based Traffic Abnormal Behavior Recognition". Scientific World Journal 2014 (2014): 1–12. http://dx.doi.org/10.1155/2014/834013.
Pełny tekst źródłaWANG, JING, PENGJIAN SHANG i XIAOJUN ZHAO. "A NEW TRAFFIC SPEED FORECASTING METHOD BASED ON BI-PATTERN RECOGNITION". Fluctuation and Noise Letters 10, nr 01 (marzec 2011): 59–75. http://dx.doi.org/10.1142/s0219477511000405.
Pełny tekst źródłaHong, Rongrong, Wenming Rao, Dong Zhou, Chengchuan An, Zhenbo Lu i Jingxin Xia. "Commuting Pattern Recognition Using a Systematic Cluster Framework". Sustainability 12, nr 5 (27.02.2020): 1764. http://dx.doi.org/10.3390/su12051764.
Pełny tekst źródłaHasan, Md Mehedi, i Jun-Seok Oh. "GIS-Based Multivariate Spatial Clustering for Traffic Pattern Recognition using Continuous Counting Data". Transportation Research Record: Journal of the Transportation Research Board 2674, nr 10 (24.07.2020): 583–98. http://dx.doi.org/10.1177/0361198120937019.
Pełny tekst źródłaTettamanti, Tamás, Alfréd Csikós, Krisztián Balázs Kis, Zsolt János Viharos i István Varga. "PATTERN RECOGNITION BASED SPEED FORECASTING METHODOLOGY FOR URBAN TRAFFIC NETWORK". Transport 33, nr 4 (5.12.2018): 959–70. http://dx.doi.org/10.3846/16484142.2017.1352027.
Pełny tekst źródłaWang, Qi, Min Lu i Qingquan Li. "Interactive, Multiscale Urban-Traffic Pattern Exploration Leveraging Massive GPS Trajectories". Sensors 20, nr 4 (17.02.2020): 1084. http://dx.doi.org/10.3390/s20041084.
Pełny tekst źródłaQin, Guo Feng, Yu Sun i Qi Yan Li. "Recognition of Vehicles on Geometric Morphology". Advanced Materials Research 217-218 (marzec 2011): 27–32. http://dx.doi.org/10.4028/www.scientific.net/amr.217-218.27.
Pełny tekst źródłaIshak, Sherif S., i Haitham M. Al-Deek. "Fuzzy ART Neural Network Model for Automated Detection of Freeway Incidents". Transportation Research Record: Journal of the Transportation Research Board 1634, nr 1 (styczeń 1998): 56–63. http://dx.doi.org/10.3141/1634-07.
Pełny tekst źródłaSohn, So Young, i Hyungwon Shin. "Pattern recognition for road traffic accident severity in Korea". Ergonomics 44, nr 1 (styczeń 2001): 107–17. http://dx.doi.org/10.1080/00140130120928.
Pełny tekst źródłaLi, Huo You, Jian Jun Li i Jian Yang Li. "Pattern Recognition of Group Control Object Based on Fuzzy Neural Network". Applied Mechanics and Materials 29-32 (sierpień 2010): 2726–32. http://dx.doi.org/10.4028/www.scientific.net/amm.29-32.2726.
Pełny tekst źródłaKehagias, Dionysios, Athanasios Salamanis i Dimitrios Tzovaras. "Speed pattern recognition technique for short-term traffic forecasting based on traffic dynamics". IET Intelligent Transport Systems 9, nr 6 (1.08.2015): 646–53. http://dx.doi.org/10.1049/iet-its.2014.0213.
Pełny tekst źródłaWang, Wei Zhi, i Bing Han Liu. "An Intelligent Recognition Algorithm on Traffic Safety States". Applied Mechanics and Materials 433-435 (październik 2013): 1388–91. http://dx.doi.org/10.4028/www.scientific.net/amm.433-435.1388.
Pełny tekst źródłaBelim, S. V., i E. V. Khiryanov. "Hierarchical Traffic Sign Recognition System". Informacionnye Tehnologii 28, nr 8 (15.08.2022): 417–23. http://dx.doi.org/10.17587/it.28.417-423.
Pełny tekst źródłade la Escalera, A., J. Ma Armingol i M. Mata. "Traffic sign recognition and analysis for intelligent vehicles". Image and Vision Computing 21, nr 3 (marzec 2003): 247–58. http://dx.doi.org/10.1016/s0262-8856(02)00156-7.
Pełny tekst źródłaLiang, Juanzhu, Shunyi Xie i Jinjian Bao. "Analysis of a Multiple Traffic Flow Network’s Spatial Organization Pattern Recognition Based on a Network Map". Sustainability 16, nr 3 (3.02.2024): 1300. http://dx.doi.org/10.3390/su16031300.
Pełny tekst źródłaGong, Fa Ming, i Hai Juan Li. "Traffic Sign Detection and Pattern Recognition Based on Binary Tree Support Vector Machines". Advanced Materials Research 204-210 (luty 2011): 1394–98. http://dx.doi.org/10.4028/www.scientific.net/amr.204-210.1394.
Pełny tekst źródłaLiu, Jia, Peng Gao, Jian Yuan i Xuetao Du. "An Effective Method of Monitoring the Large-Scale Traffic Pattern Based on RMT and PCA". Journal of Probability and Statistics 2010 (2010): 1–16. http://dx.doi.org/10.1155/2010/375942.
Pełny tekst źródłaSaha, Rajib, Mosammat Tahnin Tariq, Mohammed Hadi i Yan Xiao. "Pattern Recognition Using Clustering Analysis to Support Transportation System Management, Operations, and Modeling". Journal of Advanced Transportation 2019 (30.12.2019): 1–12. http://dx.doi.org/10.1155/2019/1628417.
Pełny tekst źródłaAjdinović, Nadina, Semina Nurkić, Jasmina Baraković Husić i Sabina Baraković. "Recognition of traffic generated by WebRTC communication". Science, Engineering and Technology 1, nr 1 (30.04.2021): 15–20. http://dx.doi.org/10.54327/set2021/v1.i1.8.
Pełny tekst źródłaHao, Ruochen, Ling Wang, Wanjing Ma i Chunhui Yu. "Estimating Signal Timing of Actuated Signal Control Using Pattern Recognition under Connected Vehicle Environment". Promet - Traffic&Transportation 33, nr 1 (5.02.2021): 153–63. http://dx.doi.org/10.7307/ptt.v33i1.3555.
Pełny tekst źródłaBuscema, Paolo Massimo, Giulia Massini, Giovanbattista Raimondi, Giuseppe Caporaso, Marco Breda i Riccardo Petritoli. "A Pattern Recognition Analysis of Vessel Trajectories". Algorithms 16, nr 9 (29.08.2023): 414. http://dx.doi.org/10.3390/a16090414.
Pełny tekst źródłaXi, Jianfeng, Yunhe Zhao, Zhiqiang Li, Yizhou Jiang, Wenwen Feng i Tongqiang Ding. "A Recognition Method of Truck Drivers’ Braking Patterns Based on FCM-LDA2vec". International Journal of Environmental Research and Public Health 19, nr 23 (30.11.2022): 15959. http://dx.doi.org/10.3390/ijerph192315959.
Pełny tekst źródłaSun, Yizhen, Jianjiang Yu, Jianwei Tian, Zhongwei Chen, Weiping Wang i Shigeng Zhang. "IoT-IE: An Information-Entropy-Based Approach to Traffic Anomaly Detection in Internet of Things". Security and Communication Networks 2021 (30.12.2021): 1–13. http://dx.doi.org/10.1155/2021/1828182.
Pełny tekst źródłaChen, Juan, Kepei Qi i Shiyu Zhu. "Traffic travel pattern recognition based on sparse Global Positioning System trajectory data". International Journal of Distributed Sensor Networks 16, nr 10 (październik 2020): 155014772096846. http://dx.doi.org/10.1177/1550147720968469.
Pełny tekst źródłaOh, Se-do, Young-jin Kim i Ji-sun Hong. "Urban Traffic Flow Prediction System Using a Multifactor Pattern Recognition Model". IEEE Transactions on Intelligent Transportation Systems 16, nr 5 (październik 2015): 2744–55. http://dx.doi.org/10.1109/tits.2015.2419614.
Pełny tekst źródłaYU, Rong, Guoxiang WANG, Jiyuan ZHENG i Haiyan WANG. "Urban Road Traffic Condition Pattern Recognition Based on Support Vector Machine". Journal of Transportation Systems Engineering and Information Technology 13, nr 1 (luty 2013): 130–36. http://dx.doi.org/10.1016/s1570-6672(13)60097-5.
Pełny tekst źródłaLo, Shih-Ching. "Expectation-maximization based algorithm for pattern recognition in traffic speed distribution". Mathematical and Computer Modelling 58, nr 1-2 (lipiec 2013): 449–56. http://dx.doi.org/10.1016/j.mcm.2012.11.004.
Pełny tekst źródłaHuang, Mingxia, Xuebo Yan, Zhu Bai, Haiqiang Zhang i Zeen Xu. "Key Technologies of Intelligent Transportation Based on Image Recognition and Optimization Control". International Journal of Pattern Recognition and Artificial Intelligence 34, nr 10 (9.01.2020): 2054024. http://dx.doi.org/10.1142/s0218001420540245.
Pełny tekst źródłaLin, Yueh-lung, i Conghua Wen. "Vehicle Vision Robust Detection and Recognition Method". International Journal of Pattern Recognition and Artificial Intelligence 34, nr 10 (31.12.2019): 2055020. http://dx.doi.org/10.1142/s0218001420550204.
Pełny tekst źródłaZou, Ying, Dahu Wang i Leian Liu. "Research on Human Movement Target Recognition Algorithm in Complex Traffic Environment". International Journal of Pattern Recognition and Artificial Intelligence 34, nr 05 (29.08.2019): 2050012. http://dx.doi.org/10.1142/s0218001420500123.
Pełny tekst źródłaRuiqi, Luo, Zhong Xian, Zhong Luo i Li Lin. "Research on the intelligent judgment of traffic congestion in intelligent traffic based on pattern recognition technology". Cluster Computing 22, S5 (15.03.2018): 12581–88. http://dx.doi.org/10.1007/s10586-017-1684-8.
Pełny tekst źródłaPan, Qingchao, i Haohua Zhang. "Key Algorithms of Video Target Detection and Recognition in Intelligent Transportation Systems". International Journal of Pattern Recognition and Artificial Intelligence 34, nr 09 (16.12.2019): 2055016. http://dx.doi.org/10.1142/s0218001420550162.
Pełny tekst źródłaShanmugaraj.S et al. "Auto Detection of Number Plate of Person without Helmet". International Journal on Recent and Innovation Trends in Computing and Communication 7, nr 3 (20.03.2019): 21–24. http://dx.doi.org/10.17762/ijritcc.v7i3.5252.
Pełny tekst źródłaEscalera, Sergio, Oriol Pujol i Petia Radeva. "Traffic sign recognition system with β -correction". Machine Vision and Applications 21, nr 2 (6.06.2008): 99–111. http://dx.doi.org/10.1007/s00138-008-0145-z.
Pełny tekst źródłaSaeipour, Parisa, Parvin Sarbakhsh, Saman Salemi i Fatemeh Bakhtari Aghdam. "A Fuzzy Clustering Approach to Identify Pedestrians’ Traffic Behavior Patterns". Journal of Research in Health Sciences 23, nr 3 (29.09.2023): e00592. http://dx.doi.org/10.34172/jrhs.2023.127.
Pełny tekst źródłaTanuwidjaya, Kevin, Ericson - i Lukman Hakim. "KLASIFIKASI RAMBU LALU LINTAS MENGGUNAKAN DECISION TREE J48 DAN LOCAL BINARY PATTERN". JITTER : Jurnal Ilmiah Teknologi dan Komputer 3, nr 1 (19.01.2022): 779. http://dx.doi.org/10.24843/jtrti.2022.v03.i01.p13.
Pełny tekst źródłaYang, Sung-Min, i Kang-Hyun Jo. "HOG based Pedestrian Detection and Behavior Pattern Recognition for Traffic Signal Control". Journal of Institute of Control, Robotics and Systems 19, nr 11 (1.11.2013): 1017–21. http://dx.doi.org/10.5302/j.icros.2013.13.1858.
Pełny tekst źródłaYin, Shouyi, Peng Ouyang, Leibo Liu, Yike Guo i Shaojun Wei. "Fast Traffic Sign Recognition with a Rotation Invariant Binary Pattern Based Feature". Sensors 15, nr 1 (19.01.2015): 2161–80. http://dx.doi.org/10.3390/s150102161.
Pełny tekst źródłaMrgole, Anamarija L., i Drago Sever. "Incorporation of Duffing Oscillator and Wigner-Ville Distribution in Traffic Flow Prediction". PROMET - Traffic&Transportation 29, nr 1 (6.02.2017): 13–22. http://dx.doi.org/10.7307/ptt.v29i1.2116.
Pełny tekst źródłaAdeyemi, Oladimeji, Martins Irhebhude i Adeola Kolawole. "Speed Breakers, Road Marking Detection and Recognition Using Image Processing Techniques". Advances in Image and Video Processing 7, nr 5 (8.11.2019): 30–42. http://dx.doi.org/10.14738/aivp.75.7205.
Pełny tekst źródłaGe, Jun Wei, Ming Zhao i Yi Qiu Fang. "A Behavior-Based Rapid Method for P2P Traffic Identification". Applied Mechanics and Materials 380-384 (sierpień 2013): 3661–66. http://dx.doi.org/10.4028/www.scientific.net/amm.380-384.3661.
Pełny tekst źródłaCerreto, Fabrizio, Bo Friis Nielsen, Otto Anker Nielsen i Steven S. Harrod. "Application of Data Clustering to Railway Delay Pattern Recognition". Journal of Advanced Transportation 2018 (2018): 1–18. http://dx.doi.org/10.1155/2018/6164534.
Pełny tekst źródłaKuo, Yau-Hwang, Mong-Fong Horng i Jung-Hsien Chiang. "An Adaptive Fuzzy Clustering Technique for Traffic Prediction of Packet-switched Networks". Journal of Advanced Computational Intelligence and Intelligent Informatics 5, nr 3 (20.05.2001): 180–88. http://dx.doi.org/10.20965/jaciii.2001.p0180.
Pełny tekst źródłaEllahyani, Ayoub, Mohamed El Ansari, Redouan Lahmyed i Alain Trémeau. "Traffic sign recognition method for intelligent vehicles". Journal of the Optical Society of America A 35, nr 11 (26.10.2018): 1907. http://dx.doi.org/10.1364/josaa.35.001907.
Pełny tekst źródłaAtkočiūnas, E., R. Blake, A. Juozapavičius i M. Kazimianec. "Image Processing in Road Traffic Analysis". Nonlinear Analysis: Modelling and Control 10, nr 4 (25.10.2005): 315–32. http://dx.doi.org/10.15388/na.2005.10.4.15112.
Pełny tekst źródłaMa, SuYuan, i MingYe Zhao. "Traffic Flow Prediction and Analysis in Smart Cities Based on the WND-LSTM Model". Computational Intelligence and Neuroscience 2022 (2.08.2022): 1–9. http://dx.doi.org/10.1155/2022/7079045.
Pełny tekst źródłaLu, Kaibin. "Network Anomaly Traffic Analysis". Academic Journal of Science and Technology 10, nr 3 (27.04.2024): 65–68. http://dx.doi.org/10.54097/8as0rg31.
Pełny tekst źródłaYao, Jingxuan, i Yuntao Ye. "The effect of image recognition traffic prediction method under deep learning and naive Bayes algorithm on freeway traffic safety". Image and Vision Computing 103 (listopad 2020): 103971. http://dx.doi.org/10.1016/j.imavis.2020.103971.
Pełny tekst źródłaZhang, Chuanwei, Xiangyang Yue, Rui Wang, Niuniu Li i Yupeng Ding. "Study on Traffic Sign Recognition by Optimized Lenet-5 Algorithm". International Journal of Pattern Recognition and Artificial Intelligence 34, nr 01 (12.06.2019): 2055003. http://dx.doi.org/10.1142/s0218001420550034.
Pełny tekst źródła