AIMC Topic: Forecasting

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Predicting Energy Consumption Using LSTM, Multi-Layer GRU and Drop-GRU Neural Networks.

Sensors (Basel, Switzerland) May 27, 2022
With the steep rise in the development of smart grids and the current advancement in developing measuring infrastructure, short term power consumption forecasting has recently gained increasing attention. In fact, the prediction of future power loads...
Neural Networks, Computer Machine Learning Algorithms Forecasting Cities
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Artificial Intelligence, Machine Learning and Smart Technologies for Nondestructive Evaluation.

Sensors (Basel, Switzerland) May 27, 2022
Nondestructive evaluation (NDE) techniques are used in many industries to evaluate the properties of components and inspect for flaws and anomalies in structures without altering the part's integrity or causing damage to the component being tested. T...
Artificial Intelligence Machine Learning Forecasting Technology
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Impact of digital transformation on the future of medical education and practice.

Journal of cardiac surgery May 25, 2022
In this article, the author provides synopses of the factors that have finally propelled health-care education and practice to join, at times reluctantly, the overarching digital transformative process that has been swept other industries over the la...
Humans Artificial Intelligence Machine Learning Forecasting Education, Medical
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Forecasting Carbon Price in China: A Multimodel Comparison.

International journal of environmental research and public health May 20, 2022
With the global concern for carbon dioxide, the carbon emission trading market is becoming more and more important. An accurate forecast of carbon price plays a significant role in understanding the dynamics of the carbon trading market and achieving...
Neural Networks, Computer Forecasting China Carbon Dioxide
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Forecasting large-scale circulation regimes using deformable convolutional neural networks and global spatiotemporal climate data.

Scientific reports May 19, 2022
Classifying the state of the atmosphere into a finite number of large-scale circulation regimes is a popular way of investigating teleconnections, the predictability of severe weather events, and climate change. Here, we investigate a supervised mach...
Neural Networks, Computer Machine Learning Forecasting Weather Atmosphere
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An Optimization Analysis Model of Tourism Specialized Villages Based on Neural Network and System Dynamics.

Computational intelligence and neuroscience May 17, 2022
With the rapid development of tourism, professional tourism villages emerge one after another, which has become the focus of the tourism industry. At present, there are some problems in tourism professional villages, such as imperfect management and ...
Neural Networks, Computer Forecasting Tourism
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Algal bloom forecasting with time-frequency analysis: A hybrid deep learning approach.

Water research May 14, 2022
The rapid emergence of deep learning long-short-term-memory (LSTM) technique presents a promising solution to algal bloom forecasting. However, the discontinuous and non-stationary processes within algal dynamics still largely limit the functions of ...
Neural Networks, Computer Forecasting Eutrophication Lakes Deep Learning
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Deep Learning Applications in Surgery: Current Uses and Future Directions.

The American surgeon May 13, 2022
Deep learning (DL) is a subset of machine learning that is rapidly gaining traction in surgical fields. Its tremendous capacity for powerful data-driven problem-solving has generated computational breakthroughs in many realms, with the fields of medi...
Humans Neural Networks, Computer Machine Learning Medicine Forecasting Deep Learning
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The future of radiology: What if artificial intelligence is really as good as predicted?

Diagnostic and interventional imaging May 13, 2022
Humans Artificial Intelligence Forecasting Radiography Radiology
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[Artificial intelligence-based ECG analysis: current status and future perspectives-Part 1 : Basic principles].

Herzschrittmachertherapie & Elektrophysiologie May 12, 2022
Even though electrocardiography is a diagnostic procedure that is now more than 100 years old, medicine cannot do without it. On the contrary, interest in the procedure and its clinical significance is even increasing again. Reports on the evaluation...
Humans Artificial Intelligence Machine Learning Forecasting Aged, 80 and over Electrocardiography
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