Artigos de revistas sobre o tema "Periodic prediction"
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Niu, Xiaoxu, Junwei Ma, Yankun Wang, Junrong Zhang, Hongjie Chen e Huiming Tang. "A Novel Decomposition-Ensemble Learning Model Based on Ensemble Empirical Mode Decomposition and Recurrent Neural Network for Landslide Displacement Prediction". Applied Sciences 11, n.º 10 (20 de maio de 2021): 4684. http://dx.doi.org/10.3390/app11104684.
Texto completo da fonteYang, Xiaoxue, Yajie Zou, Jinjun Tang, Jian Liang e Muhammad Ijaz. "Evaluation of Short-Term Freeway Speed Prediction Based on Periodic Analysis Using Statistical Models and Machine Learning Models". Journal of Advanced Transportation 2020 (20 de janeiro de 2020): 1–16. http://dx.doi.org/10.1155/2020/9628957.
Texto completo da fonteRen, Liang, Feng Yang, Yuanhe Gao e Yongcong He. "Predicting Spacecraft Telemetry Data by Using Grey–Markov Model with Sliding Window and Particle Swarm Optimization". Journal of Mathematics 2023 (3 de fevereiro de 2023): 1–14. http://dx.doi.org/10.1155/2023/9693047.
Texto completo da fonteSugimoto, Masashi, Naoya Iwamoto, Robert W. Johnston, Keizo Kanazawa, Yukinori Misaki e Kentarou Kurashige. "A Study of Predicting Ability in State-Action Pair Prediction". International Journal of Artificial Life Research 7, n.º 1 (janeiro de 2017): 52–66. http://dx.doi.org/10.4018/ijalr.2017010104.
Texto completo da fonteShen, Yueqian, Xiaoxia Ma, Yajing Sun e Sheng Du. "Prediction of university fund revenue and expenditure based on fuzzy time series with a periodic factor". PLOS ONE 18, n.º 5 (25 de maio de 2023): e0286325. http://dx.doi.org/10.1371/journal.pone.0286325.
Texto completo da fonteCheng, Weiwei, Guigen Nie e Jian Zhu. "Characterizing Periodic Variations of Atomic Frequency Standards via Their Frequency Stability Estimates". Sensors 23, n.º 11 (5 de junho de 2023): 5356. http://dx.doi.org/10.3390/s23115356.
Texto completo da fonteScerri, Eric R., e John Worrall. "Prediction and the periodic table". Studies in History and Philosophy of Science Part A 32, n.º 3 (setembro de 2001): 407–52. http://dx.doi.org/10.1016/s0039-3681(01)00023-1.
Texto completo da fontePawelzik, K., e H. G. Schuster. "Unstable periodic orbits and prediction". Physical Review A 43, n.º 4 (1 de fevereiro de 1991): 1808–12. http://dx.doi.org/10.1103/physreva.43.1808.
Texto completo da fonteMiao, Xu, Bing Wu, Yajie Zou e Lingtao Wu. "Examining the Impact of Different Periodic Functions on Short-Term Freeway Travel Time Prediction Approaches". Journal of Advanced Transportation 2020 (1 de agosto de 2020): 1–15. http://dx.doi.org/10.1155/2020/3463287.
Texto completo da fonteZhao, Lin, Nan Li, Hui Li, Renlong Wang e Menghao Li. "BDS Satellite Clock Prediction Considering Periodic Variations". Remote Sensing 13, n.º 20 (11 de outubro de 2021): 4058. http://dx.doi.org/10.3390/rs13204058.
Texto completo da fonteBittanti, S., P. Colaneri e G. De Nicolao. "The difference periodic Ricati equation for the periodic prediction problem". IEEE Transactions on Automatic Control 33, n.º 8 (1988): 706–12. http://dx.doi.org/10.1109/9.1286.
Texto completo da fonteDoğan, Erdem. "Short-term Traffic Flow Prediction Using Artificial Intelligence with Periodic Clustering and Elected Set". Promet - Traffic&Transportation 32, n.º 1 (6 de fevereiro de 2020): 65–78. http://dx.doi.org/10.7307/ptt.v32i1.3154.
Texto completo da fonteGong, Lixiong, e Canlin Wang. "Model of Automobile Parts Sale Prediction Based on Nonlinear Periodic Gray GM(1,1) and Empirical Research". Mathematical Problems in Engineering 2019 (27 de agosto de 2019): 1–8. http://dx.doi.org/10.1155/2019/3620120.
Texto completo da fonteZhang, Junrong, Huiming Tang, Dwayne D. Tannant, Chengyuan Lin, Ding Xia, Yankun Wang e Qianyun Wang. "A Novel Model for Landslide Displacement Prediction Based on EDR Selection and Multi-Swarm Intelligence Optimization Algorithm". Sensors 21, n.º 24 (14 de dezembro de 2021): 8352. http://dx.doi.org/10.3390/s21248352.
Texto completo da fonteLi, Hongcheng, Yuan Gao, Bing Wang, Yuewei Ming e Zhongwei Zhao. "Network Anomaly Sequence Prediction Method Based on LSTM and Two-layer Window Features". Journal of Physics: Conference Series 2216, n.º 1 (1 de março de 2022): 012063. http://dx.doi.org/10.1088/1742-6596/2216/1/012063.
Texto completo da fonteJiang, Shan, Yuming Feng, Xiaofeng Liao, Hongjuan Wu, Jinkui Liu e Babatunde Oluwaseun Onasanya. "A Novel Spatiotemporal Periodic Polynomial Model for Predicting Road Traffic Speed". Symmetry 16, n.º 5 (30 de abril de 2024): 537. http://dx.doi.org/10.3390/sym16050537.
Texto completo da fonteChen, Guisheng, e Zhanshan Li. "A New Method Combining Pattern Prediction and Preference Prediction for Next Basket Recommendation". Entropy 23, n.º 11 (29 de outubro de 2021): 1430. http://dx.doi.org/10.3390/e23111430.
Texto completo da fonteChen, Long, Minghua Lin e Liankun Chen. "Financial Risk Prediction based on Time Series". Academic Journal of Management and Social Sciences 5, n.º 1 (5 de novembro de 2023): 169–74. http://dx.doi.org/10.54097/ajmss.v5i1.14073.
Texto completo da fonteLin, Yisha, Zongxiang Lu, Ying Qiao, Mingjie Li e Zhifeng Liang. "Medium and long-term wind energy forecasting method considering multi-scale periodic pattern". E3S Web of Conferences 182 (2020): 01002. http://dx.doi.org/10.1051/e3sconf/202018201002.
Texto completo da fonteMorillon, Benjamin, Charles E. Schroeder, Valentin Wyart e Luc H. Arnal. "Temporal Prediction in lieu of Periodic Stimulation". Journal of Neuroscience 36, n.º 8 (24 de fevereiro de 2016): 2342–47. http://dx.doi.org/10.1523/jneurosci.0836-15.2016.
Texto completo da fonteElder, Benjamin, Matthew Arnold, Anupama Murthi e Jiří Navrátil. "Learning Prediction Intervals for Model Performance". Proceedings of the AAAI Conference on Artificial Intelligence 35, n.º 8 (18 de maio de 2021): 7305–13. http://dx.doi.org/10.1609/aaai.v35i8.16897.
Texto completo da fonteXU, Chuanbo, Maoru CHI, Liangcheng DAI, Yiping JIANG, Yongfa CHEN e Zhaotuan GUO. "Research on Rubber Spring Model of High-speed EMU Based on Non-hyperelastic Forces". Mechanics 27, n.º 1 (24 de fevereiro de 2021): 12–21. http://dx.doi.org/10.5755/j02.mech.25630.
Texto completo da fonteLuo, Albert C. J., e Lidi Chen. "Arbitrary Periodic Motions and Grazing Switching of a Forced Piecewise Linear, Impacting Oscillator". Journal of Vibration and Acoustics 129, n.º 3 (1 de novembro de 2006): 276–84. http://dx.doi.org/10.1115/1.2424971.
Texto completo da fonteZou, Yajie, Xuedong Hua, Yanru Zhang e Yinhai Wang. "Hybrid short-term freeway speed prediction methods based on periodic analysis". Canadian Journal of Civil Engineering 42, n.º 8 (agosto de 2015): 570–82. http://dx.doi.org/10.1139/cjce-2014-0447.
Texto completo da fonteHwang, Eunju. "Improvement on Forecasting of Propagation of the COVID-19 Pandemic through Combining Oscillations in ARIMA Models". Forecasting 6, n.º 1 (26 de dezembro de 2023): 18–35. http://dx.doi.org/10.3390/forecast6010002.
Texto completo da fonteLin, Zian, Xiyan Sun e Yuanfa Ji. "Landslide Displacement Prediction Based on Time Series Analysis and Double-BiLSTM Model". International Journal of Environmental Research and Public Health 19, n.º 4 (12 de fevereiro de 2022): 2077. http://dx.doi.org/10.3390/ijerph19042077.
Texto completo da fonteIchiji, Kei, Noriyasu Homma, Masao Sakai, Yuichiro Narita, Yoshihiro Takai, Xiaoyong Zhang, Makoto Abe, Norihiro Sugita e Makoto Yoshizawa. "A Time-Varying Seasonal Autoregressive Model-Based Prediction of Respiratory Motion for Tumor following Radiotherapy". Computational and Mathematical Methods in Medicine 2013 (2013): 1–9. http://dx.doi.org/10.1155/2013/390325.
Texto completo da fonteHuang, Da, Jun He, Yixiang Song, Zizheng Guo, Xiaocheng Huang e Yingquan Guo. "Displacement Prediction of the Muyubao Landslide Based on a GPS Time-Series Analysis and Temporal Convolutional Network Model". Remote Sensing 14, n.º 11 (1 de junho de 2022): 2656. http://dx.doi.org/10.3390/rs14112656.
Texto completo da fonteChen, Weihang. "Application of Market Cycle Analysis and LSTM in Prediction of Stock Price Movements". BCP Business & Management 38 (2 de março de 2023): 856–61. http://dx.doi.org/10.54691/bcpbm.v38i.3787.
Texto completo da fonteBrée, David S., Damien Challet e Pier Paolo Peirano. "Prediction accuracy and sloppiness of log-periodic functions". Quantitative Finance 13, n.º 2 (fevereiro de 2013): 275–80. http://dx.doi.org/10.1080/14697688.2011.607467.
Texto completo da fonteSereno, Sergio Gabriele Maria. "Prediction, accommodation and the periodic table: a reappraisal". Foundations of Chemistry 22, n.º 3 (6 de junho de 2020): 477–88. http://dx.doi.org/10.1007/s10698-020-09371-7.
Texto completo da fonteLei, Yu, Min Guo, Hongbing Cai, Dandan Hu e Danning Zhao. "Prediction of Length-of-day Using Gaussian Process Regression". Journal of Navigation 68, n.º 3 (19 de janeiro de 2015): 563–75. http://dx.doi.org/10.1017/s0373463314000927.
Texto completo da fonteDai, Bingcun, Fan Zhang, Domenico Tarzia e Kwangwon Ahn. "Forecasting Financial Crashes: Revisit to Log-Periodic Power Law". Complexity 2018 (1 de agosto de 2018): 1–12. http://dx.doi.org/10.1155/2018/4237471.
Texto completo da fontePhermphoonphiphat, Ekasit, Tomohiko Tomita, Takashi Morita, Masayuki Numao e Ken-Ichi Fukui. "Soft Periodic Convolutional Recurrent Network for Spatiotemporal Climate Forecast". Applied Sciences 11, n.º 20 (18 de outubro de 2021): 9728. http://dx.doi.org/10.3390/app11209728.
Texto completo da fonteLiu, Shipeng, Dejun Ning e Jue Ma. "TCNformer Model for Photovoltaic Power Prediction". Applied Sciences 13, n.º 4 (17 de fevereiro de 2023): 2593. http://dx.doi.org/10.3390/app13042593.
Texto completo da fonteLuo, D., e G. Z. Zhang. "A multiperiod grey prediction model and its application". Journal of Intelligent & Fuzzy Systems 40, n.º 6 (21 de junho de 2021): 11577–86. http://dx.doi.org/10.3233/jifs-202775.
Texto completo da fonteHe, Ji-Huan, Qian Yang, Chun-Hui He e Abdulrahman Ali Alsolami. "PULL-DOWN INSTABILITY OF THE QUADRATIC NONLINEAR OSCILLATORS". Facta Universitatis, Series: Mechanical Engineering 21, n.º 2 (10 de agosto de 2023): 191. http://dx.doi.org/10.22190/fume230114007h.
Texto completo da fonteHuang, Bingqing, Haonan Zheng, Xinbo Guo, Yi Yang e Ximing Liu. "A Novel Model Based on DA-RNN Network and Skip Gated Recurrent Neural Network for Periodic Time Series Forecasting". Sustainability 14, n.º 1 (29 de dezembro de 2021): 326. http://dx.doi.org/10.3390/su14010326.
Texto completo da fonteZhao, D. W., G. H. Su, Z. H. Liang, Y. J. Zhang e S. Z. Qiu. "ICONE19-43196 Prediction of Periodic Dryout Critical Heat Flux under Flow Oscillation Condition". Proceedings of the International Conference on Nuclear Engineering (ICONE) 2011.19 (2011): _ICONE1943. http://dx.doi.org/10.1299/jsmeicone.2011.19._icone1943_75.
Texto completo da fonteLUO, ALBERT C. J., e BING XUE. "AN ANALYTICAL PREDICTION OF PERIODIC FLOWS IN THE CHUA CIRCUIT SYSTEM". International Journal of Bifurcation and Chaos 19, n.º 07 (julho de 2009): 2165–80. http://dx.doi.org/10.1142/s0218127409023998.
Texto completo da fonteOI, Akira, Bumpei MIYAZAKI, Kengo OBAMA, Kiyoyuki KAITO, Kiyoshi KOBAYASHI e Kiyohito YAMAGUCHI. "DETERIORATION PREDICTION OF EXPRESSWAY PAVEMENT WITH PERIODIC FWD DATA". Journal of Japan Society of Civil Engineers, Ser. E1 (Pavement Engineering) 70, n.º 2 (2014): 11–25. http://dx.doi.org/10.2208/jscejpe.70.11.
Texto completo da fonteKim, Hyung-Il. "Outlier prediction in sensor network data using periodic pattern". Journal of Sensor Science and Technology 15, n.º 6 (30 de novembro de 2006): 433–41. http://dx.doi.org/10.5369/jsst.2006.15.6.433.
Texto completo da fonteKang, Bokyoung, Dongsoo Kim e Suk‐Ho Kang. "Periodic performance prediction for real‐time business process monitoring". Industrial Management & Data Systems 112, n.º 1 (27 de janeiro de 2012): 4–23. http://dx.doi.org/10.1108/02635571211193617.
Texto completo da fonteSchwartz, Greg, Rob Harris, David Shrom e Michael J. Berry. "Detection and prediction of periodic patterns by the retina". Nature Neuroscience 10, n.º 5 (22 de abril de 2007): 552–54. http://dx.doi.org/10.1038/nn1887.
Texto completo da fonteLund, Robert, e I. V. Basawa. "Recursive Prediction and Likelihood Evaluation for Periodic ARMA Models". Journal of Time Series Analysis 21, n.º 1 (janeiro de 2000): 75–93. http://dx.doi.org/10.1111/1467-9892.00174.
Texto completo da fonteWorrall, John. "Prediction and the ‘periodic law’: a rejoinder to Barnes". Studies in History and Philosophy of Science Part A 36, n.º 4 (dezembro de 2005): 817–26. http://dx.doi.org/10.1016/j.shpsa.2005.08.007.
Texto completo da fonteBaier, G., T. M. Grateful, M. D. Graham e E. N. Lightfoot. "Prediction of mass transfer rates in spatially periodic flows". Chemical Engineering Science 54, n.º 3 (fevereiro de 1999): 343–55. http://dx.doi.org/10.1016/s0009-2509(98)00234-6.
Texto completo da fonteBittanti, S., e G. De Nicolao. "Periodic ARMA Models: Optimal Prediction and Minimum-Phase Condition". IFAC Proceedings Volumes 23, n.º 8 (agosto de 1990): 449–54. http://dx.doi.org/10.1016/s1474-6670(17)51956-4.
Texto completo da fonteZhang, Kaimeng, Chi Tim Ng e Myung Hwan Na. "Real time prediction of irregular periodic time series data". Journal of Forecasting 39, n.º 3 (6 de janeiro de 2020): 501–11. http://dx.doi.org/10.1002/for.2637.
Texto completo da fonteLiu, Zhigang, Jin Wang, Tao Tao, Ziyun Zhang, Siyi Chen, Yang Yi, Shuang Han e Yongqian Liu. "Wave Power Prediction Based on Seasonal and Trend Decomposition Using Locally Weighted Scatterplot Smoothing and Dual-Channel Seq2Seq Model". Energies 16, n.º 22 (9 de novembro de 2023): 7515. http://dx.doi.org/10.3390/en16227515.
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