AIMC Topic: Forecasting

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Forecasting dengue across Brazil with LSTM neural networks and SHAP-driven lagged climate and spatial effects.

BMC public health Mar 12, 2025
BACKGROUND: Dengue fever is a mosquito-borne viral disease that poses significant health risks and socioeconomic challenges in Brazil, necessitating accurate forecasting across its 27 federal states. With the country's diverse climate and geographica...
Brazil Spatial Analysis Humans Dengue Neural Networks, Computer Forecasting Climate
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Advancing pearl millet yield forecasting: Comparative analysis of individual and ensemble machine learning approaches over Rajasthan, India.

PloS one Mar 11, 2025
Pearl millet (Pennisetum glaucum L.) is a resilient crop known for its ability to thrive in arid and semi-arid regions, making it a crucial staple in regions prone to drought. Rajasthan, a state in India, emerged as the top producer of pearl millet. ...
India Machine Learning Pennisetum Forecasting
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Enhancing short-term algal bloom forecasting through an anti-mimicking hybrid deep learning method.

Journal of environmental management Mar 10, 2025
Accurately predicting algal blooms remains a critical challenge due to their dynamic and non-stationary nature, compounded by high-frequency fluctuations and noise in monitoring data. Additionally, a common issue in time-series forecasting is data re...
Chlorophyll China Environmental Monitoring Eutrophication Deep Learning Forecasting
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Interconnections, trend analysis and forecasting of water-air temperature with water level dynamics in Blue Moon Lake Valley: A statistical and machine learning approach.

Journal of environmental management Mar 8, 2025
Glacier-fed lakes serve as vital indicators of climate change, yet their temperature and water level dynamics are insufficiently studied, particularly in high-altitude basins. Examining these interactions is fundamental for the effective management o...
Machine Learning Lakes Water Climate Change Forecasting Temperature Pattern Analysis, Machine
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Forecasting trends of rising emergency department chest imaging using machine learning.

Emergency radiology Mar 8, 2025
INTRODUCTION: Imaging studies in the acute care setting, such as the emergency room, have been increasing. In this report, we use the Centers for Medicare and Medicaid services (CMS) database to assess trends in ED chest CT and chest CTA imaging in E...
Machine Learning Forecasting Databases, Factual Emergency Service, Hospital Humans Tomography, X-Ray Computed Radiography, Thoracic United States Computed Tomography Angiography
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Flood resilience through hybrid deep learning: Advanced forecasting for Taipei's urban drainage system.

Journal of environmental management Mar 7, 2025
The escalating impacts of climate change have intensified extreme rainfall events, placing urban drainage systems under unprecedented pressure and increasing flood risks. Addressing these challenges requires advanced flood mitigation strategies, opti...
Floods Rain Taiwan Climate Change Neural Networks, Computer Deep Learning Cities Forecasting
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Forecasting deforestation and carbon loss across New Guinea using machine learning and cellular automata.

The Science of the total environment Mar 7, 2025
The island of New Guinea harbors some of the world's most biologically diverse and highly endemic tropical ecosystems. Nevertheless, progressing land-use change in the region threatens their integrity, which will adversely affect their biodiversity a...
Papua New Guinea Environmental Monitoring Carbon Conservation of Natural Resources New Guinea Forests Forecasting Ecosystem Machine Learning
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Exploring the achievements and forecasting of SDG 3 using machine learning algorithms: Bangladesh perspective.

PloS one Mar 4, 2025
BACKGROUND: Sustainable Development Goal 3 (SDG 3), focusing on ensuring healthy lives and well-being for all, holds global significance and is particularly vital for Bangladesh. Neonatal Mortality Rate (NMR), Under-5 Mortality Rate (U5MR), Maternal ...
Infant Child, Preschool Child Mortality Female Infant, Newborn Bangladesh Maternal Mortality Infant Mortality Sustainable Development Humans Neural Networks, Computer Algorithms Forecasting Machine Learning
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Migrative armadillo optimization enabled a one-dimensional quantum convolutional neural network for supply chain demand forecasting.

PloS one Mar 3, 2025
Demand forecasting is a quite challenging task, which is sensitive to several factors such as endogenous and exogenous parameters. In the context of supply chain management, demand forecasting aids to optimize the resources effectively. In recent yea...
Forecasting Convolutional Neural Networks Neural Networks, Computer Algorithms Humans
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Study on the prediction performance of AIDS monthly incidence in Xinjiang based on time series and deep learning models.

BMC public health Feb 25, 2025
OBJECTIVE: AIDS is a highly fatal infectious disease of Class B, and Xinjiang is a high-incidence region for AIDS in China. The core of prevention and control lies in early monitoring and early warning. This study aims to identify the best model for ...
Humans Forecasting China Incidence Deep Learning Acquired Immunodeficiency Syndrome Models, Statistical
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