AIMC Topic: Forecasting

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Real-time streamflow forecasting in a reservoir-regulated river basin using explainable machine learning and conceptual reservoir module.

The Science of the total environment Dec 5, 2022
Real-time streamflow forecasting is essential to manage water resources effectively in a reservoir-regulated basin. However, forecasting becomes challenging without weather and upstream reservoir outflows forecasts in real-time. In this context, a no...
Machine Learning Forecasting Weather Rivers Water Resources
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Applied artificial intelligence in healthcare: Listening to the winds of change in a post-COVID-19 world.

Experimental biology and medicine (Maywood, N.J.) Nov 25, 2022
This editorial article aims to highlight advances in artificial intelligence (AI) technologies in five areas: Collaborative AI, Multimodal AI, Human-Centered AI, Equitable AI, and Ethical and Value-based AI in order to cope with future complex socioe...
Humans Artificial Intelligence COVID-19 Forecasting Delivery of Health Care
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Comparison of ARIMA model, DNN model and LSTM model in predicting disease burden of occupational pneumoconiosis in Tianjin, China.

BMC public health Nov 24, 2022
BACKGROUND: This study aims to explore appropriate model for predicting the disease burden of pneumoconiosis in Tianjin by comparing the prediction effects of Autoregressive Integrated Moving Average (ARIMA) model, Deep Neural Networks (DNN) model an...
Humans Neural Networks, Computer Forecasting China Incidence Pneumoconiosis Models, Statistical Cost of Illness
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A review of recent developments in the application of machine learning in solar thermal collector modelling.

Environmental science and pollution research international Nov 18, 2022
Over the past few decades, the popularity of solar thermal collectors has increased dramatically because of many significant advantages like being a free, natural, environmentally friendly and permanent energy source. Today, developing and optimising...
Neural Networks, Computer Artificial Intelligence Machine Learning Forecasting Support Vector Machine
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Using model explanations to guide deep learning models towards consistent explanations for EHR data.

Scientific reports Nov 18, 2022
It has been shown that identical deep learning (DL) architectures will produce distinct explanations when trained with different hyperparameters that are orthogonal to the task (e.g. random seed, training set order). In domains such as healthcare and...
Forecasting Electronic Health Records Deep Learning
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Research on Satellite Network Traffic Prediction Based on Improved GRU Neural Network.

Sensors (Basel, Switzerland) Nov 10, 2022
The current satellite network traffic forecasting methods cannot fully exploit the long correlation between satellite traffic sequences, which leads to large network traffic forecasting errors and low forecasting accuracy. To solve these problems, we...
Neural Networks, Computer Algorithms Forecasting Computer Simulation Support Vector Machine
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Development of an Artificial Neural Network Algorithm Embedded in an On-Site Sensor for Water Level Forecasting.

Sensors (Basel, Switzerland) Nov 5, 2022
Extreme weather events cause stream overflow and lead to urban inundation. In this study, a decentralized flood monitoring system is proposed to provide water level predictions in streams three hours ahead. The customized sensor in the system measure...
Neural Networks, Computer Algorithms Forecasting Water
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An Open Source Replication of a Winning Recidivism Prediction Model.

International journal of offender therapy and comparative criminology Nov 3, 2022
We present results of our winning solution to the National Institute of Justice recidivism forecasting challenge. Our team, "MCHawks," placed highly in both terms of accuracy (as measured via the Brier score), as well as the fairness criteria (weight...
Humans Machine Learning Forecasting United States Models, Statistical Recidivism
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Wavelet LSTM for Fault Forecasting in Electrical Power Grids.

Sensors (Basel, Switzerland) Oct 30, 2022
An electric power distribution utility is responsible for providing energy to consumers in a continuous and stable way. Failures in the electrical power system reduce the reliability indexes of the grid, directly harming its performance. For this rea...
Neural Networks, Computer Forecasting Reproducibility of Results Wavelet Analysis
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A Robust Learning Algorithm Based on Particle Swarm Optimization for Pi-Sigma Artificial Neural Networks.

Big data Oct 28, 2022
Artificial neural networks (ANNs) have been frequently used in forecasting problems in recent years. One of the most popular types of ANNs in these days is Pi-Sigma artificial neural networks (PS-ANNs). PS-ANNs have a high order ANN structure and the...
Neural Networks, Computer Algorithms Forecasting Australia
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