AIMC Topic: Forecasting

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Road Traffic Forecast Based on Meteorological Information through Deep Learning Methods.

Sensors (Basel, Switzerland) Jun 14, 2022
Forecasting road flow has strong importance for both allowing authorities to guarantee safety conditions and traffic efficiency, as well as for road users to be able to plan their trips according to space and road occupation. In a summer resort, such...
Forecasting Weather Deep Learning Neural Networks, Computer Meteorology
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Deep learning models for forecasting dengue fever based on climate data in Vietnam.

PLoS neglected tropical diseases Jun 13, 2022
BACKGROUND: Dengue fever (DF) represents a significant health burden in Vietnam, which is forecast to worsen under climate change. The development of an early-warning system for DF has been selected as a prioritised health adaptation measure to clima...
Dengue Vietnam Deep Learning Incidence Humans Forecasting
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Hyperparameter Optimization of Bayesian Neural Network Using Bayesian Optimization and Intelligent Feature Engineering for Load Forecasting.

Sensors (Basel, Switzerland) Jun 12, 2022
This paper proposes a new hybrid framework for short-term load forecasting (STLF) by combining the Feature Engineering (FE) and Bayesian Optimization (BO) algorithms with a Bayesian Neural Network (BNN). The FE module comprises feature selection and ...
Principal Component Analysis Forecasting Bayes Theorem Neural Networks, Computer Algorithms
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The power to harm: AI assistants pave the way to unethical behavior.

Current opinion in psychology Jun 11, 2022
Advances in artificial intelligence (AI) enable new ways of exercising and experiencing power by automating interpersonal tasks such as interviewing and hiring workers, managing and evaluating work, setting compensation, and negotiating deals. As the...
Morals Forecasting Humans Artificial Intelligence
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Editorial Comment: The Future Value of Automated CT-Derived Body Composition in Oncologic Patients.

AJR. American journal of roentgenology Jun 8, 2022
Forecasting Prognosis Artificial Intelligence Body Composition Tomography, X-Ray Computed Humans
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Design of Machine Learning Algorithm for Tourism Demand Prediction.

Computational and mathematical methods in medicine Jun 8, 2022
Unused hotel rooms, unused event tickets, and unsold items are all examples of wasted expenses and earnings. Governments require accurate tourism demand forecasting in order to make informed decisions on topics such as infrastructure development and ...
Tourism Machine Learning Neural Networks, Computer Forecasting Artificial Intelligence Algorithms Humans
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A novel groundwater burial depth prediction model-based on the combined VMD-WSD-ELMAN model.

Environmental science and pollution research international Jun 6, 2022
The improvement of groundwater burial depth prediction accuracy is an important guiding significance for the development and management of groundwater resources. Groundwater burial depth sequence has the characteristics of uncertainty and nonlinearit...
Humans Neural Networks, Computer Burial Reproducibility of Results Groundwater Forecasting
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Forecasting induced seismicity in Oklahoma using machine learning methods.

Scientific reports Jun 4, 2022
Oklahoma earthquakes in the past decade have been mostly associated with wastewater injection. Here we use a machine learning technique-the Random Forest to forecast induced seismicity rate in Oklahoma based on injection-related parameters. We split ...
Earthquakes Oklahoma Geology Forecasting Machine Learning
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Systematic review of artificial intelligence-based image diagnosis for inflammatory bowel disease.

Digestive endoscopy : official journal of the Japan Gastroenterological Endoscopy Society Jun 1, 2022
OBJECTIVES: Diagnosis of inflammatory bowel diseases (IBD) involves combining clinical, laboratory, endoscopic, histologic, and radiographic data. Artificial intelligence (AI) is rapidly being developed in various fields of medicine, including IBD. B...
Forecasting Inflammatory Bowel Diseases Humans Artificial Intelligence
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Dam deformation forecasting using SVM-DEGWO algorithm based on phase space reconstruction.

PloS one Jun 1, 2022
A hybrid model integrating chaos theory, support vector machine (SVM) and the difference evolution grey wolf optimization (DEGWO) algorithm is developed to analyze and predict dam deformation. Firstly, the chaotic characteristics of the dam deformati...
Algorithms Forecasting Nonlinear Dynamics Support Vector Machine
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