AIMC Topic: 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...
Temperature Lakes Water Machine Learning Forecasting Climate Change 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 Emergency Service, Hospital Forecasting Radiography, Thoracic Databases, Factual Humans Tomography, X-Ray Computed Computed Tomography Angiography United States
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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...
Climate Change Floods Rain Cities Taiwan Forecasting Deep Learning Neural Networks, Computer
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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 Machine Learning Forests Forecasting Ecosystem
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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 ...
Sustainable Development Forecasting Child Mortality Machine Learning Bangladesh Humans Female Algorithms Infant Mortality Neural Networks, Computer Maternal Mortality Infant, Newborn Infant Child, Preschool
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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...
Algorithms Forecasting Humans Convolutional Neural Networks Neural Networks, Computer
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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 ...
Acquired Immunodeficiency Syndrome Models, Statistical Deep Learning China Incidence Humans Forecasting
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A Multi-objective transfer learning framework for time series forecasting with Concept Echo State Networks.

Neural networks : the official journal of the International Neural Network Society Feb 20, 2025
This paper introduces a novel transfer learning framework for time series forecasting that uses Concept Echo State Network (CESN) and a multi-objective optimization strategy. Our approach addresses the challenges of feature extraction and knowledge t...
Neural Networks, Computer Machine Learning Humans Time Factors Algorithms Forecasting
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Learning from leading indicators to predict long-term dynamics of hourly electricity generation from multiple resources.

Neural networks : the official journal of the International Neural Network Society Feb 19, 2025
Electricity is generated through various resources and then flows between regions via a complex system (grid). Imbalances in electricity generation can lead to the waste of renewable energy. As renewable energy is becoming a larger part of the grid, ...
Deep Learning Time Factors Renewable Energy Electricity Neural Networks, Computer Forecasting
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Long-term solar radiation forecasting in India using EMD, EEMD, and advanced machine learning algorithms.

Environmental monitoring and assessment Feb 18, 2025
Solar radiation plays a critical role in the carbon sequestration processes of terrestrial ecosystems, making it a key factor in environmental sustainability among various renewable energy sources. This study integrates two advanced signal processing...
Sunlight Radiation Monitoring India Environmental Monitoring Solar Energy Algorithms Forecasting Machine Learning
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