Artículos de revistas sobre el tema "Prediction and analysis"
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Gaur, Varun, Sharad Bhardwaj, Utsav Gaur y Sushant Gupta. "Stock Market Prediction & Analysis". International Journal for Research in Applied Science and Engineering Technology 10, n.º 5 (31 de mayo de 2022): 4404–8. http://dx.doi.org/10.22214/ijraset.2022.43403.
Texto completoCarlsson, Leo S., Mikael Vejdemo-Johansson, Gunnar Carlsson y Pär G. Jönsson. "Fibers of Failure: Classifying Errors in Predictive Processes". Algorithms 13, n.º 6 (23 de junio de 2020): 150. http://dx.doi.org/10.3390/a13060150.
Texto completoKim, Jae Kwon y Sanggil Kang. "Neural Network-Based Coronary Heart Disease Risk Prediction Using Feature Correlation Analysis". Journal of Healthcare Engineering 2017 (2017): 1–13. http://dx.doi.org/10.1155/2017/2780501.
Texto completoWade, Bruce A., Krishnendu Ghosh y Peter J. Tonellato. "Optimization of a Gene Analysis Application". Computing Letters 2, n.º 1-2 (6 de marzo de 2006): 81–88. http://dx.doi.org/10.1163/157404006777491927.
Texto completoDall’Aglio, John. "Sex and Prediction Error, Part 3: Provoking Prediction Error". Journal of the American Psychoanalytic Association 69, n.º 4 (agosto de 2021): 743–65. http://dx.doi.org/10.1177/00030651211042059.
Texto completoYin, Tao y Yiming Wang. "Nonlinear analysis and prediction of soybean futures". Agricultural Economics (Zemědělská ekonomika) 67, No. 5 (20 de mayo de 2021): 200–207. http://dx.doi.org/10.17221/480/2020-agricecon.
Texto completoPanchal, D. S., M. B. Shelke, S. S. Kawathekar y S. N. Deshmukh. "Prediction of Healthcare Quality Using Sentiment Analysis". Indian Journal Of Science And Technology 16, n.º 21 (3 de junio de 2023): 1603–13. http://dx.doi.org/10.17485/ijst/v16i21.2506.
Texto completoN, Sathyanarayana, Anjani Lahoty, Anubhav ., Archana S y Dhanush Rao H S. "PREDICTIVE ANALYSIS OF SPORTS DATA USING MACHINE LEARNING". International Research Journal of Computer Science 9, n.º 8 (13 de agosto de 2022): 240–44. http://dx.doi.org/10.26562/irjcs.2022.v0908.17.
Texto completoZain, Zuhaira Muhammad, Mona Alshenaifi, Abeer Aljaloud, Tamadhur Albednah, Reham Alghanim, Alanoud Alqifari y Amal Alqahtani. "Predicting breast cancer recurrence using principal component analysis as feature extraction: an unbiased comparative analysis". International Journal of Advances in Intelligent Informatics 6, n.º 3 (6 de noviembre de 2020): 313. http://dx.doi.org/10.26555/ijain.v6i3.462.
Texto completoPrahmana, I. Gusti y Kristina Annatasia Br Sitepu. "Knearst Algorithm Analysis – Neighbor Breast Cancer Prediction Coimbra". Journal of Artificial Intelligence and Engineering Applications (JAIEA) 1, n.º 3 (15 de junio de 2022): 226–30. http://dx.doi.org/10.59934/jaiea.v1i3.97.
Texto completoSumner, Joel y Adel Alaeddini. "Analysis of Feature Extraction Methods for Prediction of 30-Day Hospital Readmissions". Methods of Information in Medicine 58, n.º 06 (diciembre de 2019): 213–21. http://dx.doi.org/10.1055/s-0040-1702159.
Texto completoBaranov, L. A., E. P. Balakina y Yungqiang Zhang. "Prediction error analysis for intelligent management and predictive diagnostics systems". Dependability 23, n.º 2 (5 de junio de 2023): 12–18. http://dx.doi.org/10.21683/1729-2646-2023-23-2-12-18.
Texto completoPace, Michael L. "Prediction and the aquatic sciences". Canadian Journal of Fisheries and Aquatic Sciences 58, n.º 1 (1 de enero de 2001): 63–72. http://dx.doi.org/10.1139/f00-151.
Texto completoS, Sabarinath, Thirumalaivasan R, Shiam S, Mohamed Aashik M. S, K. Sudhakar y Dr P. Rama. "Analysis of Stock Price Prediction Using ML Techniques". International Journal for Research in Applied Science and Engineering Technology 11, n.º 4 (30 de abril de 2023): 1533–37. http://dx.doi.org/10.22214/ijraset.2023.50378.
Texto completoAbdullahi, Dauda Sani, Dr Muhammad Sirajo Aliyu y Usman Musa Abdullahi. "Comparative analysis of resampling algorithms in the prediction of stroke diseases". UMYU Scientifica 2, n.º 1 (30 de marzo de 2023): 88–94. http://dx.doi.org/10.56919/usci.2123.011.
Texto completoTehrani, Payam y Denis Mitchell. "Investigating the Use of Natural and Artificial Records for Prediction of Seismic Response of Regular and Irregular RC Bridges Considering Displacement Directions". Applied Sciences 11, n.º 3 (20 de enero de 2021): 906. http://dx.doi.org/10.3390/app11030906.
Texto completoChimote, Vaishnavi y Prof Vrushali D. Dharmale. "Analytic System Based on Prediction Analysis of Social Emotions from Users : A Review". International Journal of Trend in Scientific Research and Development Volume-2, Issue-3 (30 de abril de 2018): 1608–12. http://dx.doi.org/10.31142/ijtsrd11441.
Texto completoŠebalj, Dario, Josip Mesarić y Davor Dujak. "Analysis of methods and techniques for prediction of natural gas consumption". Journal of information and organizational sciences 43, n.º 1 (21 de junio de 2019): 99–117. http://dx.doi.org/10.31341/jios.43.1.6.
Texto completoBierkens, M. F. P. y L. P. H. van Beek. "Seasonal Predictability of European Discharge: NAO and Hydrological Response Time". Journal of Hydrometeorology 10, n.º 4 (1 de agosto de 2009): 953–68. http://dx.doi.org/10.1175/2009jhm1034.1.
Texto completoRajput, Prashant, Priyanka Sapkal y Shefali Sinha. "Box Office Revenue Prediction Using Dual Sentiment Analysis". International Journal of Machine Learning and Computing 7, n.º 4 (octubre de 2017): 72–75. http://dx.doi.org/10.18178/ijmlc.2017.7.4.623.
Texto completoLim, Chia Yean, Vincent K. T. Khoo y Bahari Belaton. "A Methodology for Deliberating Prediction Criteria". Applied Mechanics and Materials 130-134 (octubre de 2011): 1758–61. http://dx.doi.org/10.4028/www.scientific.net/amm.130-134.1758.
Texto completoSun, Mengxuan, Jinglin Zhao y Heidan Shang. "Building Energy Consumption Prediction with Principal Component Analysis and Artificial Neural Network". International Journal of Electronics and Electrical Engineering 8, n.º 2 (junio de 2020): 36–39. http://dx.doi.org/10.18178/ijeee.8.2.36-39.
Texto completoTang, Li, Ping He Pan y Yong Yi Yao. "EPAK: A Computational Intelligence Model for 2-level Prediction of Stock Indices". International Journal of Computers Communications & Control 13, n.º 2 (13 de abril de 2018): 268–79. http://dx.doi.org/10.15837/ijccc.2018.2.3187.
Texto completoXiao, Hai Ping, Lan Lan Chen, Yi Qiang Chen y Zhong Qun Guo. "Research and Application of Grey Predictive Model Based on Wavelet Analysis". Applied Mechanics and Materials 170-173 (mayo de 2012): 2912–16. http://dx.doi.org/10.4028/www.scientific.net/amm.170-173.2912.
Texto completoKouadri, Wissam Mammar, Mourad Ouziri, Salima Benbernou, Karima Echihabi, Themis Palpanas y Iheb Ben Amor. "Quality of sentiment analysis tools". Proceedings of the VLDB Endowment 14, n.º 4 (diciembre de 2020): 668–81. http://dx.doi.org/10.14778/3436905.3436924.
Texto completoZhou, Xiaobing, Youmin Tang, Yanjie Cheng y Ziwang Deng. "Improved ENSO Prediction by Singular Vector Analysis in a Hybrid Coupled Model". Journal of Atmospheric and Oceanic Technology 26, n.º 3 (1 de marzo de 2009): 626–34. http://dx.doi.org/10.1175/2008jtecho599.1.
Texto completoPoelman, M. C., A. Hegyi, A. Verbraeck y J. W. C. van Lint. "Sensitivity Analysis to Define Guidelines for Predictive Control Design". Transportation Research Record: Journal of the Transportation Research Board 2674, n.º 6 (18 de mayo de 2020): 385–98. http://dx.doi.org/10.1177/0361198120919114.
Texto completoChen, Ningyan. "House Price Prediction Model of Zhaoqing City Based on Correlation Analysis and Multiple Linear Regression Analysis". Wireless Communications and Mobile Computing 2022 (5 de mayo de 2022): 1–18. http://dx.doi.org/10.1155/2022/9590704.
Texto completoGe, Shaojia, Erkki Tomppo, Yrjö Rauste, Ronald E. McRoberts, Jaan Praks, Hong Gu, Weimin Su y Oleg Antropov. "Sentinel-1 Time Series for Predicting Growing Stock Volume of Boreal Forest: Multitemporal Analysis and Feature Selection". Remote Sensing 15, n.º 14 (11 de julio de 2023): 3489. http://dx.doi.org/10.3390/rs15143489.
Texto completoSon, Hyesook, Seokyeon Kim, Hanbyul Yeon, Yejin Kim, Yun Jang y Seung-Eock Kim. "Visual Analysis of Spatiotemporal Data Predictions with Deep Learning Models". Applied Sciences 11, n.º 13 (24 de junio de 2021): 5853. http://dx.doi.org/10.3390/app11135853.
Texto completoHuang, Wanqi, Yizhuo Li, Yuhang Zhao y Lanfeng Zheng. "Time Series Analysis and Prediction on Bitcoin". BCP Business & Management 34 (14 de diciembre de 2022): 1223–34. http://dx.doi.org/10.54691/bcpbm.v34i.3163.
Texto completoAmini, Mohammad Reza, Yiheng Feng, Zhen Yang, Ilya Kolmanovsky y Jing Sun. "Long-Term Vehicle Speed Prediction via Historical Traffic Data Analysis for Improved Energy Efficiency of Connected Electric Vehicles". Transportation Research Record: Journal of the Transportation Research Board 2674, n.º 11 (20 de agosto de 2020): 17–29. http://dx.doi.org/10.1177/0361198120941508.
Texto completoOoka, Tadao, Hisashi Johno, Kazunori Nakamoto, Yoshioki Yoda, Hiroshi Yokomichi y Zentaro Yamagata. "Random forest approach for determining risk prediction and predictive factors of type 2 diabetes: large-scale health check-up data in Japan". BMJ Nutrition, Prevention & Health 4, n.º 1 (11 de marzo de 2021): 140–48. http://dx.doi.org/10.1136/bmjnph-2020-000200.
Texto completoRasero, Javier, Amy Isabella Sentis, Fang-Cheng Yeh y Timothy Verstynen. "Integrating across neuroimaging modalities boosts prediction accuracy of cognitive ability". PLOS Computational Biology 17, n.º 3 (5 de marzo de 2021): e1008347. http://dx.doi.org/10.1371/journal.pcbi.1008347.
Texto completoDermadi, Yedi y Yoanes Bandung. "Tsunami Impact Prediction System Based on TsunAWI Inundation Data". Journal of ICT Research and Applications 15, n.º 1 (29 de junio de 2021): 21–40. http://dx.doi.org/10.5614/itbj.ict.res.appl.2021.15.1.2.
Texto completoSeabe, Phumudzo Lloyd, Claude Rodrigue Bambe Moutsinga y Edson Pindza. "Forecasting Cryptocurrency Prices Using LSTM, GRU, and Bi-Directional LSTM: A Deep Learning Approach". Fractal and Fractional 7, n.º 2 (18 de febrero de 2023): 203. http://dx.doi.org/10.3390/fractalfract7020203.
Texto completoS.S., Sayyidkosimov `., Kazakov A.N, Khakberdiev M.R., Tursunbayev D.A. y Tuxsariyev B.B. "Analysis Of Methods And Means Of Bump Hazard Prediction". American Journal of Applied sciences 03, n.º 04 (22 de abril de 2021): 47–54. http://dx.doi.org/10.37547/tajas/volume03issue04-06.
Texto completoV., Haribaabu. "Analysis of Filters in ECG Signal for Emotion Prediction". Journal of Advanced Research in Dynamical and Control Systems 12, SP4 (31 de marzo de 2020): 896–902. http://dx.doi.org/10.5373/jardcs/v12sp4/20201559.
Texto completoDönmez, İlknur. "Human Activity Analysis and Prediction Using Google n-Grams". International Journal of Future Computer and Communication 7, n.º 2 (junio de 2018): 32–36. http://dx.doi.org/10.18178/ijfcc.2018.7.2.516.
Texto completoDixon, A. A., R. O. Holness, W. J. Howes y J. B. Garner. "Spontaneous Intracerebral Haemorrhage: An Analysis of Factors Affecting Prognosis". Canadian Journal of Neurological Sciences / Journal Canadien des Sciences Neurologiques 12, n.º 3 (agosto de 1985): 267–71. http://dx.doi.org/10.1017/s0317167100047144.
Texto completoChen, Gang, Donglin Zhu, Xiao Wang, Changjun Zhou y Xiangyu Chen. "Prediction of Concrete Compressive Strength Based on the BP Neural Network Optimized by Random Forest and ISSA". Journal of Function Spaces 2022 (27 de agosto de 2022): 1–20. http://dx.doi.org/10.1155/2022/8799429.
Texto completoSajjadian, Mehri, Raymond W. Lam, Roumen Milev, Susan Rotzinger, Benicio N. Frey, Claudio N. Soares, Sagar V. Parikh et al. "Machine learning in the prediction of depression treatment outcomes: a systematic review and meta-analysis". Psychological Medicine 51, n.º 16 (12 de octubre de 2021): 2742–51. http://dx.doi.org/10.1017/s0033291721003871.
Texto completoWadi, Faska Aris Y. K., Putu Sugiartawan, Ni Nengah Dita Adriani y Ni Nengah Dita Adriani. "Analisa Prediksi Time Series Jumlah Kasus Covid-19 Dengan Metode BPNN Di Bali". Jurnal Sistem Informasi dan Komputer Terapan Indonesia (JSIKTI) 4, n.º 1 (14 de enero de 2022): 24–33. http://dx.doi.org/10.33173/jsikti.124.
Texto completoNan, Libin, Kai Guo, Mingmin Li, Qi Wu y Shaojun Huo. "Development and validation of a multi-parameter nomogram for predicting prostate cancer: a retrospective analysis from Handan Central Hospital in China". PeerJ 10 (2 de marzo de 2022): e12912. http://dx.doi.org/10.7717/peerj.12912.
Texto completoVenskus, Julius, Povilas Treigys y Jurita Markevičiūtė. "Unsupervised marine vessel trajectory prediction using LSTM network and wild bootstrapping techniques". Nonlinear Analysis: Modelling and Control 26, n.º 4 (1 de julio de 2021): 718–37. http://dx.doi.org/10.15388/namc.2021.26.23056.
Texto completoMahmudi, Bambang y Enis Khaerunnisa. "BANKRUPTCY PREDICTION ANALYSIS USING THE ALTMAN Z-SCORE AND SPRINGATE MODELS IN INSURANCE COMPANIES WHICH GO PUBLIC IN THE INDONESIA STOCK EXCHANGE". Management Science Research Journal 2, n.º 1 (9 de febrero de 2023): 28–45. http://dx.doi.org/10.56548/msr.v2i1.45.
Texto completoLin, Wan-Ju, Shih-Hsuan Lo, Hong-Tsu Young y Che-Lun Hung. "Evaluation of Deep Learning Neural Networks for Surface Roughness Prediction Using Vibration Signal Analysis". Applied Sciences 9, n.º 7 (8 de abril de 2019): 1462. http://dx.doi.org/10.3390/app9071462.
Texto completoKarpac, Dusan y Viera Bartosova. "The verification of prediction and classification ability of selected Slovak prediction models and their emplacement in forecasts of financial health of a company in aspect of globalization". SHS Web of Conferences 74 (2020): 06010. http://dx.doi.org/10.1051/shsconf/20207406010.
Texto completoChen, Weihang. "Application of Market Cycle Analysis and LSTM in Prediction of Stock Price Movements". BCP Business & Management 38 (2 de marzo de 2023): 856–61. http://dx.doi.org/10.54691/bcpbm.v38i.3787.
Texto completoLu, Ying, Xiaopeng Fan, Zhipan Zhao y Xuepeng Jiang. "Dynamic Fire Risk Classification Prediction of Stadiums: Multi-Dimensional Machine Learning Analysis Based on Intelligent Perception". Applied Sciences 12, n.º 13 (29 de junio de 2022): 6607. http://dx.doi.org/10.3390/app12136607.
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