Artigos de revistas sobre o tema "Peak prediction"
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Schmitt, Thomas, Tobias Rodemann e Jürgen Adamy. "The Cost of Photovoltaic Forecasting Errors in Microgrid Control with Peak Pricing". Energies 14, n.º 9 (29 de abril de 2021): 2569. http://dx.doi.org/10.3390/en14092569.
Texto completo da fonteXie, Lianku, Qinglei Yu, Jiandong Liu, Chunping Wu e Guang Zhang. "Prediction of Ground Vibration Velocity Induced by Long Hole Blasting Using a Particle Swarm Optimization Algorithm". Applied Sciences 14, n.º 9 (30 de abril de 2024): 3839. http://dx.doi.org/10.3390/app14093839.
Texto completo da fonteNakashima, Toshihisa, Takayuki Ohno, Keiichi Koido, Hironobu Hashimoto e Hiroyuki Terakado. "Accuracy of predicting the vancomycin concentration in Japanese cancer patients by the Sawchuk–Zaske method or Bayesian method". Journal of Oncology Pharmacy Practice 26, n.º 3 (29 de maio de 2019): 543–48. http://dx.doi.org/10.1177/1078155219851834.
Texto completo da fonteGerber, Brandon S., James L. Tangler, Earl P. N. Duque e J. David Kocurek. "Peak and Post-Peak Power Aerodynamics from Phase VI NASA Ames Wind Turbine Data". Journal of Solar Energy Engineering 127, n.º 2 (25 de abril de 2005): 192–99. http://dx.doi.org/10.1115/1.1862260.
Texto completo da fonteYang, Hyunje, Honggeun Lim, Haewon Moon, Qiwen Li, Sooyoun Nam, Byoungki Choi e Hyung Tae Choi. "Identifying the Minimum Number of Flood Events for Reasonable Flood Peak Prediction of Ungauged Forested Catchments in South Korea". Forests 14, n.º 6 (30 de maio de 2023): 1131. http://dx.doi.org/10.3390/f14061131.
Texto completo da fonteKeith, David, e Juan Moreno-Cruz. "Pitfalls of coal peak prediction". Nature 469, n.º 7331 (janeiro de 2011): 472. http://dx.doi.org/10.1038/469472b.
Texto completo da fonteMandoli, Giulia Elena, Federico Landra, Benedetta Chiantini, Carlotta Sciaccaluga, Maria Concetta Pastore, Marta Focardi, Luna Cavigli et al. "Tricuspid Regurgitation Velocity and Mean Pressure Gradient for the Prediction of Pulmonary Hypertension According to the New Hemodynamic Definition". Diagnostics 13, n.º 16 (8 de agosto de 2023): 2619. http://dx.doi.org/10.3390/diagnostics13162619.
Texto completo da fonteSoroka, Juliana, Larry Grenkow, Héctor Cárcamo, Scott Meers, Shelley Barkley e John Gavloski. "An assessment of degree-day models to predict the phenology of alfalfa weevil (Coleoptera: Curculionidae) on the Canadian Prairies". Canadian Entomologist 152, n.º 1 (21 de dezembro de 2019): 110–29. http://dx.doi.org/10.4039/tce.2019.71.
Texto completo da fonteLi, Haitao, Guo Yu, Yizhu Fang, Yanru Chen, Chenyu Wang e Dongming Zhang. "Studies on natural gas reserves multi-cycle growth law in Sichuan Basin based on multi-peak identification and peak parameter prediction". Journal of Petroleum Exploration and Production Technology 11, n.º 8 (18 de junho de 2021): 3239–53. http://dx.doi.org/10.1007/s13202-021-01212-3.
Texto completo da fonteZhang, Yang. "Peak Traffic Prediction Using Nonparametric Approaches". Advanced Materials Research 378-379 (outubro de 2011): 196–99. http://dx.doi.org/10.4028/www.scientific.net/amr.378-379.196.
Texto completo da fonteDuncan, Michael J., Joanne Hankey, Mark Lyons, Rob S. James e Alan M. Nevill. "Peak Power Prediction in Junior Basketballers". Journal of Strength and Conditioning Research 27, n.º 3 (março de 2013): 597–603. http://dx.doi.org/10.1519/jsc.0b013e31825d97ac.
Texto completo da fonteRamesh, S., Bhaskar Natarajan e Gopika Bhagat. "Peak load prediction using weather variables". Energy 13, n.º 8 (agosto de 1988): 671–79. http://dx.doi.org/10.1016/0360-5442(88)90097-7.
Texto completo da fonteKim, Seunghawk, Gwangseob Kim e Kyeong-Eun Lee. "Rainfall peak prediction using deep learning". Journal of the Korean Data And Information Science Society 34, n.º 4 (31 de julho de 2023): 607–17. http://dx.doi.org/10.7465/jkdi.2023.34.4.607.
Texto completo da fonteOukaira, Aziz, Amrou Zyad Benelhaouare, Dariush Amirkhani, Jamal Zbitou e Ahmed Lakhssassi. "Silicon Die Transient Thermal Peak Prediction Approach". ITM Web of Conferences 48 (2022): 02007. http://dx.doi.org/10.1051/itmconf/20224802007.
Texto completo da fonteZhao, Mengchen, Santiago Gomez-Rosero, Hooman Nouraei, Craig Zych, Miriam A. M. Capretz e Ayan Sadhu. "Toward Prediction of Energy Consumption Peaks and Timestamping in Commercial Supermarkets Using Deep Learning". Energies 17, n.º 7 (1 de abril de 2024): 1672. http://dx.doi.org/10.3390/en17071672.
Texto completo da fonteKim, Dong-Hoon, Eun-Kyu Lee e Naik Bakht Sania Qureshi. "Peak-Load Forecasting for Small Industries: A Machine Learning Approach". Sustainability 12, n.º 16 (13 de agosto de 2020): 6539. http://dx.doi.org/10.3390/su12166539.
Texto completo da fonteRomine, William, Noah Schroeder, Tanvi Banerjee e Josephine Graft. "Toward Mental Effort Measurement Using Electrodermal Activity Features". Sensors 22, n.º 19 (28 de setembro de 2022): 7363. http://dx.doi.org/10.3390/s22197363.
Texto completo da fonteZeng, Qinghui, Xiaolin Yu, Haobo Ni, Lina Xiao, Ting Xu, Haisheng Wu, Yuliang Chen et al. "Dengue transmission dynamics prediction by combining metapopulation networks and Kalman filter algorithm". PLOS Neglected Tropical Diseases 17, n.º 6 (7 de junho de 2023): e0011418. http://dx.doi.org/10.1371/journal.pntd.0011418.
Texto completo da fonteLatifoğlu, Levent, e Emre Altuntaş. "Deep Learning Approaches for Stream Flow and Peak Flow Prediction: A Comparative Study". European Journal of Research and Development 4, n.º 1 (31 de março de 2024): 61–84. http://dx.doi.org/10.56038/ejrnd.v4i1.422.
Texto completo da fonteZheng, Jingbin, Shaoqing Zhang, Dong Wang e Jun Jiang. "Optimization for the Assessment of Spudcan Peak Resistance in Clay–Sand–Clay Deposits". Journal of Marine Science and Engineering 9, n.º 7 (24 de junho de 2021): 689. http://dx.doi.org/10.3390/jmse9070689.
Texto completo da fonteNilsson, Lars-Olof. "Chloride profiles with a peak – why and what are the consequences for predictions?" MATEC Web of Conferences 364 (2022): 02024. http://dx.doi.org/10.1051/matecconf/202236402024.
Texto completo da fonteJones, Trevor H., e N. Brad Willms. "A critique of Hubbert’s model for peak oil". FACETS 3, n.º 1 (1 de outubro de 2018): 260–74. http://dx.doi.org/10.1139/facets-2017-0097.
Texto completo da fonteGlanz, James. "Bold Prediction Downplays the Sun's Next Peak". Science 275, n.º 5302 (14 de fevereiro de 1997): 927. http://dx.doi.org/10.1126/science.275.5302.927.
Texto completo da fontevan derVeen, C. J. "Reevaluating Hubbert's prediction of U.S. peak oil". Eos, Transactions American Geophysical Union 87, n.º 20 (2006): 199. http://dx.doi.org/10.1029/2006eo200003.
Texto completo da fonteHefke, Frederik, Roland Schmucki e Peter Güntert. "Prediction of peak overlap in NMR spectra". Journal of Biomolecular NMR 56, n.º 2 (13 de abril de 2013): 113–23. http://dx.doi.org/10.1007/s10858-013-9727-9.
Texto completo da fonteKim, Eunhye, Tsatsral Amarbayasgalan e Hoon Jung. "Efficient Weighted Ensemble Method for Predicting Peak-Period Postal Logistics Volume: A South Korean Case Study". Applied Sciences 12, n.º 23 (23 de novembro de 2022): 11962. http://dx.doi.org/10.3390/app122311962.
Texto completo da fonteKompor, Wongnarin, Sayaka Yoshikawa e Shinjiro Kanae. "Use of Seasonal Streamflow Forecasts for Flood Mitigation with Adaptive Reservoir Operation: A Case Study of the Chao Phraya River Basin, Thailand, in 2011". Water 12, n.º 11 (16 de novembro de 2020): 3210. http://dx.doi.org/10.3390/w12113210.
Texto completo da fonteHan, Heechan, Changhyun Choi, Jaewon Jung e Hung Soo Kim. "Deep Learning with Long Short Term Memory Based Sequence-to-Sequence Model for Rainfall-Runoff Simulation". Water 13, n.º 4 (8 de fevereiro de 2021): 437. http://dx.doi.org/10.3390/w13040437.
Texto completo da fonteSun, Rui, Wanwan Qi, Tong Zheng e Jinlei Qi. "Explainable Machine-Learning Predictions for Peak Ground Acceleration". Applied Sciences 13, n.º 7 (3 de abril de 2023): 4530. http://dx.doi.org/10.3390/app13074530.
Texto completo da fonteGupta, R. N., P. Pal Roy e B. Singh. "Prediction of peak particle velocity and peak air pressure generated by buried explosion". International Journal of Mining and Geological Engineering 6, n.º 1 (março de 1988): 15–26. http://dx.doi.org/10.1007/bf00881024.
Texto completo da fonteGupta, R. N., P. Pal Roy e B. Singh. "Prediction of peak particle velocity and peak air pressure generated by buried explosion". International Journal of Rock Mechanics and Mining Sciences & Geomechanics Abstracts 26, n.º 2 (março de 1989): 78. http://dx.doi.org/10.1016/0148-9062(89)90222-2.
Texto completo da fonteNakubulwa, Susan Kiwanuka, K. Baisley e J. Levin. "Prediction of peak expiratory flow rate in a Ugandan population". South African Respiratory Journal 21, n.º 4 (4 de dezembro de 2015): 96. http://dx.doi.org/10.7196/sarj.2015.v21i4.36.
Texto completo da fonteXie, Shijie, Rubing Yao, Yatao Yan, Hang Lin, Peilei Zhang e Yifan Chen. "Hybrid Machine-Learning-Based Prediction Model for the Peak Dilation Angle of Rock Discontinuities". Materials 16, n.º 19 (24 de setembro de 2023): 6387. http://dx.doi.org/10.3390/ma16196387.
Texto completo da fonteArhin, Stephen, Babin Manandhar e Hamdiat Baba-Adam. "Predicting Travel Times of Bus Transit in Washington, D.C. Using Artificial Neural Networks". Civil Engineering Journal 6, n.º 11 (1 de novembro de 2020): 2245–61. http://dx.doi.org/10.28991/cej-2020-03091615.
Texto completo da fonteMutuku, Vincent, Joshua Mwema e Mutwiri Joseph. "Time-Series Prediction of Gamma-Ray Counts Using XGB Algorithm". Open Journal for Information Technology 5, n.º 1 (11 de agosto de 2022): 33–40. http://dx.doi.org/10.32591/coas.ojit.0501.03033m.
Texto completo da fonteZhao, Wuchao, Jiang Qian e Pengzhao Jia. "Peak Response Prediction for RC Beams under Impact Loading". Shock and Vibration 2019 (22 de janeiro de 2019): 1–12. http://dx.doi.org/10.1155/2019/6813693.
Texto completo da fonteZhang, Zhaohui, Qiuwen Liu, Ligong Chen e Pengwei Wang. "A Peak Prediction Method for Subflow in Hybrid Data Flow". Scientific Programming 2020 (14 de fevereiro de 2020): 1–13. http://dx.doi.org/10.1155/2020/2548351.
Texto completo da fontePu, Xingfan, Jian Yao e Rongyue Zheng. "Forecast of Energy Consumption and Carbon Emissions in China’s Building Sector to 2060". Energies 15, n.º 14 (6 de julho de 2022): 4950. http://dx.doi.org/10.3390/en15144950.
Texto completo da fonteChrystyn, Henry. "Validation of the use of Bayesian Analysis in the Optimization of Gentamicin Therapy from the Commencement of Dosing". Drug Intelligence & Clinical Pharmacy 22, n.º 1 (janeiro de 1988): 49–53. http://dx.doi.org/10.1177/106002808802200112.
Texto completo da fonteBommer*, Julian J., e John E. Alarcon*. "THE PREDICTION AND USE OF PEAK GROUND VELOCITY". Journal of Earthquake Engineering 10, n.º 1 (janeiro de 2006): 1–31. http://dx.doi.org/10.1080/13632460609350586.
Texto completo da fonteLu, Peng. "Cost heterogeneity and peak prediction in collective actions". Expert Systems with Applications 79 (agosto de 2017): 130–39. http://dx.doi.org/10.1016/j.eswa.2017.02.009.
Texto completo da fonteBrenneis, Marco, Niklas Thewes, Jana Holder, Felix Stief e Sebastian Braun. "Validation of central peak height method for final adult height predictions on long leg radiographs". Bone & Joint Open 4, n.º 10 (10 de outubro de 2023): 750–57. http://dx.doi.org/10.1302/2633-1462.410.bjo-2023-0105.r1.
Texto completo da fonteLi, Ting Ting, Xing Xing Zhang, Shi Zhong Ma e Zhao Wang. "The Application of Peak Number Attribute in the Prediction of River Sand". Advanced Materials Research 838-841 (novembro de 2013): 1591–94. http://dx.doi.org/10.4028/www.scientific.net/amr.838-841.1591.
Texto completo da fonteJampole, Ezra, Eduardo Miranda e Gregory G. Deierlein. "Predicting earthquake-induced sliding displacements using effective incremental ground velocity". Earthquake Spectra 36, n.º 1 (13 de janeiro de 2020): 378–99. http://dx.doi.org/10.1177/8755293019878200.
Texto completo da fonteTakahashi, K., R. Ooka e S. Ikeda. "Anomaly detection and missing data imputation in building energy data for automated data pre-processing". Journal of Physics: Conference Series 2069, n.º 1 (1 de novembro de 2021): 012144. http://dx.doi.org/10.1088/1742-6596/2069/1/012144.
Texto completo da fonteSciannameo, Veronica, Danila Azzolina, Corrado Lanera, Aslihan Şentürk Acar, Maria Assunta Corciulo, Rosanna Irene Comoretto, Paola Berchialla e Dario Gregori. "Fitting Early Phases of the COVID-19 Outbreak: A Comparison of the Performances of Used Models". Healthcare 11, n.º 16 (21 de agosto de 2023): 2363. http://dx.doi.org/10.3390/healthcare11162363.
Texto completo da fonteLeandri, Pietro, e Massimo Losa. "Peak Friction Prediction Model Based on Surface Texture Characteristics". Transportation Research Record: Journal of the Transportation Research Board 2525, n.º 1 (janeiro de 2015): 91–99. http://dx.doi.org/10.3141/2525-10.
Texto completo da fonteKahl, Jonathan D. W. "Forecasting Peak Wind Gusts Using Meteorologically Stratified Gust Factors and MOS Guidance". Weather and Forecasting 35, n.º 3 (28 de maio de 2020): 1129–43. http://dx.doi.org/10.1175/waf-d-20-0045.1.
Texto completo da fonteWu, Zhenfen, Zhe Wang, Qiliang Yang e Changyun Li. "Prediction Model of Electric Power Carbon Emissions Based on Extended System Dynamics". Energies 17, n.º 2 (18 de janeiro de 2024): 472. http://dx.doi.org/10.3390/en17020472.
Texto completo da fonteDangar, Nikhil S., e Pravin H. Vataliya. "Prediction of Lifetime Milk Yield using Principal Component Analysis in Gir Cattle". Indian Journal of Veterinary Sciences & Biotechnology 18, n.º 4 (15 de setembro de 2022): 92–96. http://dx.doi.org/10.48165/ijvsbt.18.4.19.
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