AIMC Topic: Forecasting

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Artificial neural network-driven approaches to improved forecasting of disability care expenditures in an aging Kingdom of Saudi Arabia population.

Scientific reports Jul 1, 2025
The total number of older persons globally (those aged 60 years and above) was 202 million in 1950; this total multiplied to attain 901 million and is predicted to triple again in 2100. The growth percentage of the elderly population is quickly impro...
Humans Neural Networks, Computer Noncommunicable Diseases Health Expenditures Male Aging Saudi Arabia Persons with Disabilities Middle Aged Forecasting Aged Female Aged, 80 and over
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The Future of Questions.

Journal of continuing education in nursing Jul 1, 2025
As we move into the artificial intelligence decade, with more emphasis on creativity and innovation, it will be important to ask questions in a different way. It will be critical for leaders and faculty to think about questions they haven't asked in ...
Humans Artificial Intelligence Forecasting Male Female Middle Aged Adult Education, Nursing, Continuing
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ChatGPT-Assisted Deep Learning Models for Influenza-Like Illness Prediction in Mainland China: Time Series Analysis.

Journal of medical Internet research Jun 27, 2025
BACKGROUND: Influenza in mainland China results in a large number of outpatient and emergency visits related to influenza-like illness (ILI) annually. While deep learning models show promise for improving influenza forecasting, their technical comple...
Influenza, Human Humans Forecasting China Generative Artificial Intelligence Deep Learning
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Decomposition-reconstruction-optimization framework for hog price forecasting: Integrating STL, PCA, and BWO-optimized BiLSTM.

PloS one Jun 27, 2025
This study constructs a multi-stage hybrid forecasting model using hog price time series data and its influencing factors to improve prediction accuracy. First, seven benchmark models including Prophet, ARIMA, and LSTM were applied to raw price serie...
Animals Swine Forecasting Commerce Deep Learning Models, Economic
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Demographic forecast modelling using SSA-XGBoost for smart population management based on multi-sources data.

PloS one Jun 25, 2025
Population prediction could provide effective data support for social and economic planning and decision-making, especially for the sub-national population forecasting accurately. In addition to realizing efficient smart population management, this r...
Boosting Machine Learning Algorithms Cell Phone Population Dynamics Demography Machine Learning Algorithms Female Humans Male Forecasting
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Forecasting monthly residential natural gas demand in two cities of Turkey using just-in-time-learning modeling.

PloS one Jun 11, 2025
Natural gas (NG) is relatively a clean source of energy, particularly compared to fossil fuels, and worldwide consumption of NG has been increasing almost linearly in the last two decades. A similar trend can also be seen in Turkey, while another sim...
Models, Theoretical Turkey Forecasting Natural Gas Humans Cities Machine Learning
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Harmful Algae Forecasting through an Ocean Data Justice Lens.

Environmental science & technology Jun 10, 2025
Forecasting systems for harmful algal blooms (HABs) are becoming more common, as HAB monitoring is increasingly networked and aggregated at national and global scales. Ocean forecasting programs in other fields have had unintended consequences and ou...
Forecasting Environmental Monitoring Oceans and Seas Biodiversity Harmful Algal Bloom
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Enhancing corn industry sustainability through deep learning hybrid models for price volatility forecasting.

PloS one Jun 9, 2025
The fluctuations in corn prices not only increase uncertainty in the market but also affect farmers' planting decisions and income stability, while also impeding crucial investments in sustainable agricultural practices. Collectively, these factors j...
Forecasting Zea mays Deep Learning Models, Economic Agriculture Commerce
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MTSA-SC: A multi-task learning approach for individual trip destination prediction with multi-trajectory subsequence alignment and space-aware loss functions.

PloS one Jun 6, 2025
Individual Trip Destination Prediction aims to accurately forecast an individual's future travel destinations by analyzing their historical trajectory data, holding significant application value in intelligent navigation, personalized recommendations...
Travel Algorithms Humans Forecasting Machine Learning
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A comparative study of various statistical and machine learning models for predicting restaurant demand in Bangladesh.

PloS one Jun 4, 2025
Precise demand forecasting has become crucial for merchants due to the growing complexity of client behavior and market dynamics. This allows them to enhance inventory management, minimize instances of stock outs, and enhance overall operational effi...
Restaurants Models, Statistical Bangladesh Humans Algorithms Machine Learning Forecasting
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