Search Results - "Forecasting"

Reading the Weather by Longstreth, Thomas Morris, 1886-

Subjects: “…Weather forecasting…”
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Weather Warnings for Watchers by Anonymous

Subjects: “…Weather forecasting…”
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Chapter Current State of Art in Earthquake Prediction, Typical Precursors and Experience in Earthquake Forecasting at Sakhalin Island and Surrounding Areas by Tikhonov, I.N

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To the question of the reasons for the activation of the epidemic process of Мeasles at the stage of elimination of infection and the forecast of the situation in the near and long term by T. A. Platonova, A. A. Golubkova, S. S. Smirnova

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Exponentially Increasing Trend of Infected Patients with COVID-19 in Iran: A Comparison of Neural Network and ARIMA Forecasting Models by Leila MOFTAKHAR, Mozhgan SEIF, Marziyeh Sadat SAFE

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IJCM_278A: Forecasting of Dengue Cases and Deaths in India: An application of Auto Regressive Integrated Moving Average Model by Tripathy Sashikanta, Mishra Amit Kumar, Ruikar Manisha

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Evaluating the impact of COVID-19 outbreak on hepatitis B and forecasting the epidemiological trend in mainland China: a causal analysis by Chao-Qun He, Bai-Hong Sun, Wang-Tao Yu, Shu-Yi An, Bao-Jun Qiao, Wei Wu

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Forecasting disability-adjusted life years for chronic diseases: reference and alternative scenarios of salt intake for 2017-2040 in Japan by Shuhei Nomura, Daisuke Yoneoka, Shiori Tanaka, Aya Ishizuka, Peter Ueda, Keiji Nakamura, Hisayuki Uneyama, Naoki Hayashi, Kenji Shibuya

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MEFFNet: Forecasting Myoelectric Indices of Muscle Fatigue in Healthy and Post-Stroke During Voluntary and FES-Induced Dynamic Contractions by Smriti Bala, Venugopalan Y. Vishnu, Deepak Joshi

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Applying Machine Learning Models with An Ensemble Approach for Accurate Real-Time Influenza Forecasting in Taiwan: Development and Validation Study by Cheng, Hao-Yuan, Wu, Yu-Chun, Lin, Min-Hau, Liu, Yu-Lun, Tsai, Yue-Yang, Wu, Jo-Hua, Pan, Ke-Han, Ke, Chih-Jung, Chen, Chiu-Mei, Liu, Ding-Ping, Lin, I-Feng, Chuang, Jen-Hsiang

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Enhancing fine-grained intra-urban dengue forecasting by integrating spatial interactions of human movements between urban regions. by Kang Liu, Meng Zhang, Guikai Xi, Aiping Deng, Tie Song, Qinglan Li, Min Kang, Ling Yin

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Facilitating fine-grained intra-urban dengue forecasting by integrating urban environments measured from street-view images by Kang Liu, Ling Yin, Meng Zhang, Min Kang, Ai-Ping Deng, Qing-Lan Li, Tie Song

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Analysis of characteristics and forecast of unintentional injury deaths of children under age 5 from 2013 to 2019 in Sichuan, China by Jinnuo Hu, Min Luo, Linkun He, Ziling Zhao

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Spatial-Temporal Relationship Between Population Mobility and COVID-19 Outbreaks in South Carolina: Time Series Forecasting Analysis by Zeng, Chengbo, Zhang, Jiajia, Li, Zhenlong, Sun, Xiaowen, Olatosi, Bankole, Weissman, Sharon, Li, Xiaoming

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Forecasting the 2017/2018 seasonal influenza epidemic in England using multiple dynamic transmission models: a case study by Paul J. Birrell, Xu-Sheng Zhang, Alice Corbella, Edwin van Leeuwen, Nikolaos Panagiotopoulos, Katja Hoschler, Alex J. Elliot, Maryia McGee, Simon de Lusignan, Anne M. Presanis, Marc Baguelin, Maria Zambon, André Charlett, Richard G. Pebody, Daniela De Angelis

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Forecasting judo medal winners at the Olympic Games: an interaction of the International Judo Federation World Ranking List and the Elo System by Leandro Marques Guilheiro, Emerson Franchini

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Crowdsourced Perceptions of Human Behavior to Improve Computational Forecasts of US National Incident Cases of COVID-19: Survey Study by David Braun, Daniel Ingram, David Ingram, Bilal Khan, Jessecae Marsh, Thomas McAndrew

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Human judgement forecasting tournaments: A feasibility study based on the COVID-19 pandemic with public health practitioners in England by Nathan Davies, Simon Ferris

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Retrospective Analysis and Forecasted Economic Impact of a Virtual Cardiac Rehabilitation Program in a Third-Party Payer Environment by Arash Harzand, Aaron C. Weidman, Kenneth R. Rayl, Adelanwa Adesanya, Ericka Holmstrand, Nicole Fitzpatrick, Harshvardhan Vathsangam, Srinivas Murali

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Forecasting the 2020 COVID-19 Epidemic: A Multivariate Quasi-Poisson Regression to Model the Evolution of New Cases in Chile by María Ignacia Vicuña, Cristián Vásquez, Bernardo F. Quiroga

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