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2023

Prediction

Articles 1 - 5 of 5

Full-Text Articles in Physical Sciences and Mathematics

Global Forecasts Of Marine Heatwaves, Michael Jacox Nov 2023

Global Forecasts Of Marine Heatwaves, Michael Jacox

Benefits of Ocean Observing Catalog (BOOC)

Timestamp: 44862.4486656366 Email Address: michael.jacox@noaa.gov Name: Michael Jacox Affiliation: NOAA Southwest Fisheries Science Center and NOAA Physical Sciences Laboratory Program Office/Division: Position Title: Research oceanographer Title of use case: Global forecasts of marine heatwaves Authors or Creators: Jacox, M., Alexander, M., Amaya, D., Becker, B., Bograd, S., Brodie, S., Hazen, E., Pozo Buil, M., Tommasi, D., Hsu, C.-W., Smith, C. Affiliations of Authors or Creators: NOAA Physical Sciences Laboratory; NOAA Southwest Fisheries Science Center; University of Colorado; University of Miami; University of California Santa Cruz Contributors: Affiliation of Contributors: Description: Researchers used climate forecast systems to develop global marine heatwave …

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Hybrid Machine Learning Model To Predict Chronic Kidney Diseases Using Handcrafted Features For Early Health Rehabilitation, Amjad Rehman, Tanzila Saba, Haider Ali, Narmine Elhakim, Noor Ayesha Oct 2023

Hybrid Machine Learning Model To Predict Chronic Kidney Diseases Using Handcrafted Features For Early Health Rehabilitation, Amjad Rehman, Tanzila Saba, Haider Ali, Narmine Elhakim, Noor Ayesha

Turkish Journal of Electrical Engineering and Computer Sciences

Chronic kidney diseases proliferate due to hypertension, diabetes, anemia, obesity, smoking etc. Patients with such conditions are sometimes unaware of first symptoms, complicating disease diagnosis. This paper presents chronic kidney disease (CKD) prediction model to classify CKD patients from NCKD (Non-CKD). The proposed study has two main stages. First, we found the odds ratio through logistic regression and comparison test to identify early risk factors from kidneys? MRI and differentiate CKD from NCKD subjects. In stage 2, LR, LDA, MLP classifiers were applied to predict CKD and NCKD by extracting features from MRI. The odds ratio of blood glucose random …

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Forecasting Economic Growth And Movements With Wavelet Transform And Arima Model, Omar Alsinglawi, Omar Alsinglawi, Mohammad Aladwan, Mohammad Aladwan, Saddam Alwadi, Saddam Alwadi Sep 2023

Forecasting Economic Growth And Movements With Wavelet Transform And Arima Model, Omar Alsinglawi, Omar Alsinglawi, Mohammad Aladwan, Mohammad Aladwan, Saddam Alwadi, Saddam Alwadi

Applied Mathematics & Information Sciences

This study uses historical data and modern statistical models to forecast future Gross Domestic Product (GDP) in Jordan. The Wavelet Transformation model (WT) and Autoregressive Integrated Moving Average (ARIMA) model were applied to the time series data and yielded a best-fitting result of (2,1,1) for estimating GDP between 2022-2031. The study concludes that GDP is expected to increase with a positive growth rate of around 3.22%, and recommends government agencies to monitor GDP, strengthen existing policies, and adopt necessary economic reforms to support growth. Additionally, the private sector is encouraged to enhance production tools to achieve economic growth that benefits …

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Research On Aquifer Water Abundance Evaluation By Borehole Transient Electromagnetic Method Based On Fcnn, Cheng Jiulong, Wang Huijie, Xu Zhongzhong, Huang Qisong, Jiang Guoqing Mar 2023

Research On Aquifer Water Abundance Evaluation By Borehole Transient Electromagnetic Method Based On Fcnn, Cheng Jiulong, Wang Huijie, Xu Zhongzhong, Huang Qisong, Jiang Guoqing

Coal Geology & Exploration

Predicting the location and water abundance of aquifers by drilling or geophysical methods before tunneling is very important to prevent water disasters in advance for the safety of coal mine production. The use of borehole transient electromagnetic method (BTEM) for advanced detection has obvious advantages. At present, the interpretation method is based on the calculated resistivity to qualitatively analyze rock water abundance, and it is impossible to predict the aquifer water abundance grade. So, the fully convolutional neural network (FCNN) method is proposed to predict the aquifer water abundance grade for BTEM. Firstly, according to the Archie formula, Kozeny-Carman formula, …

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Collision Risk Prediction For Small Ships In South Korea Via Optimization Of Wireless Communication Period, So-Ra Kim, Myoung-Ki Lee, Sangwon Park, Dae-Won Kim, Young-Soo Park Jan 2023

Collision Risk Prediction For Small Ships In South Korea Via Optimization Of Wireless Communication Period, So-Ra Kim, Myoung-Ki Lee, Sangwon Park, Dae-Won Kim, Young-Soo Park

Journal of Marine Science and Technology

Since the emergence of COVID-19, there has been a global surge in demand for marine leisure activities. In Korea, the population using marine leisure has risen approximately 192% to 20,406 people, compared to 6,966 people in the year 2000, indicating a continuous growth over the past two decades.. Maritime transportation has become increasingly intricate worldwide due to the development of increasingly autonomous, larger, and faster ships. To effectively address potential hazards in such complex traffic environments, it is imperative to anticipate future scenarios and respond rapidly. However, small vessels account for the highest proportion of marine accidents, exhibit movements that …

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