AIMC Topic: Forecasting

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Ensemble stacking rockburst prediction model based on Yeo-Johnson, K-means SMOTE, and optimal rockburst feature dimension determination.

Scientific reports Sep 12, 2022
Rockburst forecasting plays a crucial role in prevention and control of rockburst disaster. To improve the accuracy of rockburst prediction at the data structure and algorithm levels, the Yeo-Johnson transform, K-means SMOTE oversampling, and optimal...
Machine Learning Algorithms Forecasting
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Recommendations on compiling test datasets for evaluating artificial intelligence solutions in pathology.

Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc Sep 10, 2022
Artificial intelligence (AI) solutions that automatically extract information from digital histology images have shown great promise for improving pathological diagnosis. Prior to routine use, it is important to evaluate their predictive performance ...
Humans Artificial Intelligence Forecasting Datasets as Topic Pathology
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Implementation of Machine Learning to Predict Cost of Care Associated with Ambulatory Single-Level Lumbar Decompression.

World neurosurgery Sep 9, 2022
BACKGROUND: With the emergence of the concept of value-based care, efficient resource allocation has become an increasingly prominent factor in surgical decision-making. Validated machine learning (ML) models for cost prediction in outpatient spine s...
Humans Machine Learning Forecasting Retrospective Studies Spine Decompression
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Hybrid of deep learning and exponential smoothing for enhancing crime forecasting accuracy.

PloS one Sep 7, 2022
The continued urbanization poses several challenges for law enforcement agencies to ensure a safe and secure environment. Countries are spending a substantial amount of their budgets to control and prevent crime. However, limited efforts have been ma...
Forecasting Deep Learning Models, Statistical Data Collection Crime
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Multi-input multi-output temporal convolutional network for predicting the long-term water quality of ocean ranches.

Environmental science and pollution research international Sep 1, 2022
The prediction of water quality parameters is of great significance to the control of marine environments and provides a scientific decision-making basis for maintaining the stability of water environments and ensuring the normal survival and growth ...
Neural Networks, Computer Forecasting Oxygen Water Quality Oceans and Seas
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Air quality index forecast in Beijing based on CNN-LSTM multi-model.

Chemosphere Sep 1, 2022
Accurate predicting the air quality trend can provide a theoretical basis for environmental protection management and decision-making. This study proposed the convolutional neural networks-long short-term memory (CNN-LSTM) model, which was proposed t...
Neural Networks, Computer Forecasting Air Pollution Beijing
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Evaluation of Three Feature Dimension Reduction Techniques for Machine Learning-Based Crop Yield Prediction Models.

Sensors (Basel, Switzerland) Sep 1, 2022
Machine learning (ML) has been widely used worldwide to develop crop yield forecasting models. However, it is still challenging to identify the most critical features from a dataset. Although either feature selection (FS) or feature extraction (FX) t...
Neural Networks, Computer Machine Learning Algorithms Forecasting Support Vector Machine
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Deep learning for twelve hour precipitation forecasts.

Nature communications Sep 1, 2022
Existing weather forecasting models are based on physics and use supercomputers to evolve the atmosphere into the future. Better physics-based forecasts require improved atmospheric models, which can be difficult to discover and develop, or increasin...
Neural Networks, Computer Forecasting Computer Simulation Deep Learning Weather
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Stock Portfolio Optimization Using a Combined Approach of Multi Objective Grey Wolf Optimizer and Machine Learning Preselection Methods.

Computational intelligence and neuroscience Aug 29, 2022
The present paper deals with optimizing the stock portfolio of active companies listed on the Tehran Stock Exchange based on the forecast price. This paper is based on a combination of different filtering methods such as optimization of trading rules...
Machine Learning Algorithms Forecasting Support Vector Machine Iran
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Human Resource Demand Prediction and Configuration Model Based on Grey Wolf Optimization and Recurrent Neural Network.

Computational intelligence and neuroscience Aug 27, 2022
Business development is dependent on a well-structured human resources (HR) system that maximizes the efficiency of an organization's human resources input and output. It is tough to provide adequate instructions for HR's unique task. In a time when ...
Humans Neural Networks, Computer Forecasting Workforce Commerce
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