AIMC Topic: Forecasting

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Short-Term Demand Forecasting Method in Power Markets Based on the KSVM-TCN-GBRT.

Computational intelligence and neuroscience Apr 30, 2022
With the consumption of new energy and the variability of user activity, accurate and fast demand forecasting plays a crucial role in modern power markets. This paper considers the correlation between temperature, wind speed, and real-time electricit...
Research Design Electricity Support Vector Machine Forecasting Wind
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A novel short-term carbon emission prediction model based on secondary decomposition method and long short-term memory network.

Environmental science and pollution research international Apr 28, 2022
Grasping the dynamics of carbon emission in time plays a key role in formulating carbon emission reduction policies. In order to provide more accurate carbon emission prediction results for planners, a novel short-term carbon emission prediction mode...
Neural Networks, Computer Algorithms Carbon Forecasting
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Predicting Abnormal Amyloid Burden: Can Machine Learning Become a Future Tool in Preventive Neurology?

Neurology Apr 25, 2022
Neurology Amyloid Humans Forecasting Machine Learning
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Future Guidelines for Artificial Intelligence in Echocardiography.

Journal of the American Society of Echocardiography : official publication of the American Society of Echocardiography Apr 23, 2022
Humans Artificial Intelligence Forecasting Machine Learning Echocardiography
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Research on Impulse Power Load Forecasting Based on Improved Recurrent Neural Networks.

Computational intelligence and neuroscience Apr 23, 2022
Deep learning is good at extracting the required feature quantity from the massive input information through multiple hidden layers and completing the learning through training to achieve the task of load forecasting. The impulse power load data cont...
Forecasting Neural Networks, Computer Algorithms Reproducibility of Results
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Machine Learning, Deep Learning, and Mathematical Models to Analyze Forecasting and Epidemiology of COVID-19: A Systematic Literature Review.

International journal of environmental research and public health Apr 22, 2022
COVID-19 is a disease caused by SARS-CoV-2 and has been declared a worldwide pandemic by the World Health Organization due to its rapid spread. Since the first case was identified in Wuhan, China, the battle against this deadly disease started and ha...
Deep Learning COVID-19 SARS-CoV-2 Models, Theoretical Forecasting Machine Learning Humans
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Forecasting Multiple Groundwater Time Series with Local and Global Deep Learning Networks.

International journal of environmental research and public health Apr 22, 2022
Time series data from environmental monitoring stations are often analysed with machine learning methods on an individual basis, however recent advances in the machine learning field point to the advantages of incorporating multiple related time seri...
Neural Networks, Computer Deep Learning Forecasting Groundwater Time Factors
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Developed multiple-layer perceptron neural network based on developed search and rescue optimizer to predict iron ore price volatility: A case study.

ISA transactions Apr 21, 2022
In economic investment, the role of forecasting is very important because in an economic project, the investor must carefully examine the dimensions of the work such that one of the most important and perhaps the main factor of a future investor and ...
Rescue Work Forecasting Neural Networks, Computer Algorithms Iron Computer Simulation
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Machine Learning Prediction of Clinical Trial Operational Efficiency.

The AAPS journal Apr 21, 2022
Clinical trials are the gatekeepers and bottlenecks of progress in medicine. In recent years, they have become increasingly complex and expensive, driven by a growing number of stakeholders requiring more endpoints, more diverse patient populations, ...
Humans Patient Selection Clinical Trials as Topic Forecasting Machine Learning
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Artificial intelligence in gastrointestinal and hepatic imaging: past, present and future scopes.

Clinical imaging Apr 20, 2022
The use of technology in medicine has grown exponentially because of the technological advancements allowing the digitization of medical data and optimization of their processing to extract multiple features of significant clinical relevance. Radiolo...
Radiology Machine Learning Diagnostic Imaging Forecasting Humans Artificial Intelligence
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