AIMC Topic: Forecasting

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Parametric seasonal-trend autoregressive neural network for long-term crop price forecasting.

PloS one Sep 26, 2024
Crop price forecasting is difficult in that supply is not as elastic as demand, therefore, supply and demand should be stabilized through long-term forecasting and pre-response to the price. In this study, we propose a Parametric Seasonal-Trend Autor...
Commerce Raphanus Seasons Neural Networks, Computer Crops, Agricultural Forecasting
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Multi-scale convolution enhanced transformer for multivariate long-term time series forecasting.

Neural networks : the official journal of the International Neural Network Society Sep 23, 2024
In data analysis and forecasting, particularly for multivariate long-term time series, challenges persist. The Transformer model in deep learning methods has shown significant potential in time series forecasting. The Transformer model's dot-product ...
Neural Networks, Computer Multivariate Analysis Deep Learning Forecasting Algorithms Time Factors Humans
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Forecasting and Predicting Stochastic Agent-Based Model Data with Biologically-Informed Neural Networks.

Bulletin of mathematical biology Sep 23, 2024
Collective migration is an important component of many biological processes, including wound healing, tumorigenesis, and embryo development. Spatial agent-based models (ABMs) are often used to model collective migration, but it is challenging to thor...
Systems Analysis Dictyostelium Animals Cell Movement Stochastic Processes Mathematical Concepts Models, Biological Humans Neural Networks, Computer Forecasting Computer Simulation
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Future of service member monitoring: the intersection of biology, wearables and artificial intelligence.

BMJ military health Sep 20, 2024
While substantial investment has been made in the early identification of mental and behavioural health disorders in service members, rates of depression, substance abuse and suicidality continue to climb. Objective and persistent measures are needed...
Humans Wearable Electronic Devices Artificial Intelligence Monitoring, Physiologic Military Personnel Forecasting Mental Disorders
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Comparison of RNN-LSTM, TFDF and stacking model approach for weather forecasting in Bangladesh using historical data from 1963 to 2022.

PloS one Sep 19, 2024
Forecasting the weather in an area characterized by erratic weather patterns and unpredictable climate change is a challenging endeavour. The weather is classified as a non-linear system since it is influenced by various factors that contribute to cl...
Weather Data Mining Climate Change Bangladesh Neural Networks, Computer Forecasting Humidity Humans Machine Learning Decision Trees
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Forecasting carbon dioxide emissions in Chongming: a novel hybrid forecasting model coupling gray correlation analysis and deep learning method.

Environmental monitoring and assessment Sep 17, 2024
Predicting regional carbon dioxide (CO2) emissions is essential for advancing toward global carbon neutrality. This study introduces a novel CO2 emissions prediction model tailored to the unique environmental, economic, and energy consumption of Shan...
China Environmental Monitoring Air Pollution Carbon Dioxide Air Pollutants Forecasting Deep Learning
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Artificial intelligence in interventional radiology: Current concepts and future trends.

Diagnostic and interventional imaging Sep 11, 2024
While artificial intelligence (AI) is already well established in diagnostic radiology, it is beginning to make its mark in interventional radiology. AI has the potential to dramatically change the daily practice of interventional radiology at severa...
Forecasting Deep Learning Radiology, Interventional Humans Artificial Intelligence
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Artificial intelligence in Ultrasound: Pearls and pitfalls in 2024.

Ultraschall in der Medizin (Stuttgart, Germany : 1980) Sep 6, 2024
Forecasting Ultrasonography Image Interpretation, Computer-Assisted Humans Artificial Intelligence
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Forecasting for Haditha reservoir inflow in the West of Iraq using Support Vector Machine (SVM).

PloS one Sep 6, 2024
Accurate inflow forecasting is an essential non-engineering strategy to guarantee flood management and boost the effectiveness of the water supply. As inflow is the primary reservoir input, precise inflow forecasting may also offer appropriate reserv...
Water Supply Forecasting Support Vector Machine Iraq Seasons Rivers
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Machine-learning-based prediction by stacking ensemble strategy for surgical outcomes in patients with degenerative cervical myelopathy.

Journal of orthopaedic surgery and research Sep 4, 2024
BACKGROUND: Machine learning (ML) is extensively employed for forecasting the outcome of various illnesses. The objective of the study was to develop ML based classifiers using a stacking ensemble strategy to predict the Japanese Orthopedic Associati...
Spinal Cord Diseases Recovery of Function Male Cervical Vertebrae Middle Aged Support Vector Machine Forecasting Treatment Outcome Follow-Up Studies Female Humans Aged Machine Learning
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