AIMC Topic: Forecasting

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Physics-informed machine learning algorithms for forecasting sediment yield: an analysis of physical consistency, sensitivity, and interpretability.

Environmental science and pollution research international Jul 11, 2024
The sediment transport, involving the movement of the bedload and suspended sediment in the basins, is a critical environmental concern that worsens water scarcity and leads to degradation of land and its ecosystems. Machine learning (ML) algorithms ...
Machine Learning Geologic Sediments Algorithms Ecosystem Environmental Monitoring Neural Networks, Computer Forecasting
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Research on short-term power load forecasting based on VMD and GRU.

PloS one Jul 11, 2024
The traditional method for power load forecasting is susceptible to various factors, including holidays, seasonal variations, weather conditions, and more. These factors make it challenging to ensure the accuracy of forecasting results. Additionally,...
Electric Power Supplies Neural Networks, Computer Algorithms Forecasting
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A novel approach to forecast surgery durations using machine learning techniques.

Health care management science Jul 10, 2024
This study presents a methodology for predicting the duration of surgical procedures using Machine Learning (ML). The methodology incorporates a new set of predictors emphasizing the significance of surgical team dynamics and composition, including e...
Machine Learning Surgical Procedures, Operative Male Operating Rooms Forecasting Operative Time Humans Patient Care Team Female
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Predicting Future Birth Rates with the Use of an Adaptive Machine Learning Algorithm: A Forecasting Experiment for Scotland.

International journal of environmental research and public health Jun 27, 2024
The total fertility rate is influenced over an extended period of time by shifts in population socioeconomic characteristics and attitudes and values. However, it may be impacted by macroeconomic trends in the short term, although these effects are l...
Humans Scotland Forecasting Birth Rate Pregnancy Female Machine Learning Algorithms
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Statistical machine learning models for prediction of China's maritime emergency patients in dynamic: ARIMA model, SARIMA model, and dynamic Bayesian network model.

Frontiers in public health Jun 27, 2024
INTRODUCTION: Rescuing individuals at sea is a pressing global public health issue, garnering substantial attention from emergency medicine researchers with a focus on improving prevention and control strategies. This study aims to develop a Dynamic ...
Models, Statistical Forecasting Ships Emergency Medical Services China Bayes Theorem Humans Machine Learning
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Artificial intelligence in radiotherapy: Current applications and future trends.

Diagnostic and interventional imaging Jun 24, 2024
Radiation therapy has dramatically changed with the advent of computed tomography and intensity modulation. This added complexity to the workflow but allowed for more precise and reproducible treatment. As a result, these advances required the accura...
Humans Neoplasms Radiation Oncology Radiotherapy Planning, Computer-Assisted Artificial Intelligence Forecasting
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Climate change and artificial intelligence in healthcare: Review and recommendations towards a sustainable future.

Diagnostic and interventional imaging Jun 24, 2024
The rapid advancement of artificial intelligence (AI) in healthcare has revolutionized the industry, offering significant improvements in diagnostic accuracy, efficiency, and patient outcomes. However, the increasing adoption of AI systems also raise...
Sustainable Development Carbon Footprint Humans Artificial Intelligence Delivery of Health Care Climate Change Forecasting
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Innovative approaches for accurate ozone prediction and health risk analysis in South Korea: The combined effectiveness of deep learning and AirQ.

The Science of the total environment Jun 21, 2024
Short-term exposure to ground-level ozone (O) poses significant health risks, particularly respiratory and cardiovascular diseases, and mortality. This study addresses the pressing need for accurate O forecasting to mitigate these risks, focusing on ...
Ozone Environmental Exposure Air Pollutants Air Pollution Republic of Korea Cardiovascular Diseases Deep Learning Environmental Monitoring Risk Assessment Humans Forecasting
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Predicting PM2.5 concentration with enhanced state-trend awareness and uncertainty analysis using bagging and LSTM neural networks.

Journal of environmental quality Jun 19, 2024
Monitoring air pollutants, particularly PM2.5, which refers to fine particulate matter with a diameter of 2.5 µm or smaller, has become a focal point of environmental protection efforts worldwide. This study introduces the concept of state-trend awar...
Environmental Monitoring Support Vector Machine Air Pollutants Neural Networks, Computer Forecasting Uncertainty Air Pollution Particulate Matter
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Possible benefits, challenges, pitfalls, and future perspective of using ChatGPT in pathology.

Revista espanola de patologia : publicacion oficial de la Sociedad Espanola de Anatomia Patologica y de la Sociedad Espanola de Citologia Jun 14, 2024
The much-hyped artificial intelligence (AI) model called ChatGPT developed by Open AI can have great benefits for physicians, especially pathologists, by saving time so that they can use their time for more significant work. Generative AI is a specia...
Forecasting Image Processing, Computer-Assisted Pathology, Clinical Pathology Humans Artificial Intelligence
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