AIMC Topic: Forecasting

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Artificial Intelligence in Spinal Imaging: Current Status and Future Directions.

International journal of environmental research and public health Sep 16, 2022
Spinal maladies are among the most common causes of pain and disability worldwide. Imaging represents an important diagnostic procedure in spinal care. Imaging investigations can provide information and insights that are not visible through ordinary ...
Radiology Forecasting Reproducibility of Results Machine Learning Artificial Intelligence Humans
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Application of Neural Network with Autocorrelation in Long-Term Forecasting of Systemic Financial Risk.

Computational intelligence and neuroscience Sep 16, 2022
Carrying out early warning of systemic financial risk is a prerequisite for timely adjustment of monetary policy and macroprudential policy to effectively prevent and resolve systemic financial risks. This paper constructs a systemic financial risk m...
Forecasting China Industry Prospective Studies Neural Networks, Computer
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Variational mode decomposition combined fuzzy-Twin support vector machine model with deep learning for solar photovoltaic power forecasting.

PloS one Sep 16, 2022
A novel Variational Mode Decomposition (VMD) combined Fuzzy-Twin Support Vector Machine Model with deep learning mechanism is devised in this research study to forecast the solar Photovoltaic (PV) output power in day ahead basis. The raw data from th...
Deep Learning Support Vector Machine Forecasting Algorithms Solar Energy
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Research on adaptive combined wind speed prediction for each season based on improved gray relational analysis.

Environmental science and pollution research international Sep 15, 2022
The stability of the power grid and the operational security of the power system depend on the precise prediction of wind speed. In consideration of the nonlinear and non-stationary characteristics of wind speed in different seasons, this paper emplo...
Computer Simulation Wind Forecasting Machine Learning Seasons
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Improved runoff forecasting based on time-varying model averaging method and deep learning.

PloS one Sep 15, 2022
In order to improve the accuracy and stability of runoff prediction. This study proposed a dynamic model averaging method with Time-varying weight (TV-DMA). Using this method, an integrated prediction model framework for runoff prediction was constru...
Water Movements Rain Deep Learning Forecasting Floods
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Water demand in watershed forecasting using a hybrid model based on autoregressive moving average and deep neural networks.

Environmental science and pollution research international Sep 14, 2022
Increasing water demand is exacerbating water shortages in water-scarce regions (such as India, China, and Iran). Effective water demand forecasting is essential for the sustainable management of water supply systems in watersheds. To alleviate the c...
Water Water Supply China Seasons Agriculture Neural Networks, Computer Forecasting
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How do I/we forecast tomorrow's transfusion? A focus on recipients' profiles.

Transfusion clinique et biologique : journal de la Societe francaise de transfusion sanguine Sep 13, 2022
Red blood cell (RBC) transfusion is a life-saving medical intervention and has an essential role in the management of surgical patients. However, blood donations and supply levels are decreasing, therefore there is an unmet need for the accurate pred...
Blood Transfusion Erythrocyte Transfusion Forecasting Artificial Intelligence Humans
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A novel model based on CEEMDAN, IWOA, and LSTM for ultra-short-term wind power forecasting.

Environmental science and pollution research international Sep 13, 2022
The randomness and instability of wind power bring challenges to power grid dispatching. Accurate prediction of wind power is significant to ensure the stable development of power grid. In this paper, a new ultra-short-term wind power forecasting mod...
Neural Networks, Computer Algorithms China Whales Animals Forecasting
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FASTNN: A Deep Learning Approach for Traffic Flow Prediction Considering Spatiotemporal Features.

Sensors (Basel, Switzerland) Sep 13, 2022
Traffic flow forecasting is a critical input to intelligent transportation systems. Accurate traffic flow forecasting can provide an effective reference for implementing traffic management strategies, developing travel route planning, and public tran...
Forecasting Neural Networks, Computer Transportation Deep Learning
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Improving the Efficiency of Multistep Short-Term Electricity Load Forecasting via R-CNN with ML-LSTM.

Sensors (Basel, Switzerland) Sep 13, 2022
Multistep power consumption forecasting is smart grid electricity management's most decisive problem. Moreover, it is vital to develop operational strategies for electricity management systems in smart cities for commercial and residential users. How...
Electricity Disease Progression Humans Neural Networks, Computer Forecasting
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