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Forecasting

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Predicting respiratory motion using a novel patient specific dual deep recurrent neural networks.

Biomedical physics & engineering express
Real-time tracking of a target volume is a promising solution for reducing the planning margins and both dosimetric and geometric uncertainties in the treatment of thoracic and upper-abdomen cancers. Respiratory motion prediction is an integral part ...

Forecasting Slope Displacement of the Agricultural Mountainous Area Based on the ACO-SVM Model.

Computational intelligence and neuroscience
Due to the combined influence of complex engineering geological conditions and environmental factors from agricultural mountainous areas, the evolution of slope deformation is complicated and nonlinear. Support vector machine (SVM) technology could e...

Radiomics in neuro-oncological clinical trials.

The Lancet. Digital health
The development of clinical trials has led to substantial improvements in the prevention and treatment of many diseases, including brain cancer. Advances in medicine, such as improved surgical techniques, the development of new drugs and devices, the...

Optimization Design of Short Life Cycle Product Logistics Supply Chain Scheme Based on Support Vector Machine.

Computational intelligence and neuroscience
In order to better solve the problem of product logistics supply chains with short life cycles, a solution optimization of short life cycle product logistics supply chains based on support vector machines is proposed. This method recommends key techn...

Deep Intelligence-Driven Efficient Forecasting for the Agriculture Economy of Computational Social Systems.

Computational intelligence and neuroscience
In the vision of smart cities, everything is highly connected with the aid of computational intelligence. Therefore, the cyber-physical society has been named a computational social system for a long time. Due to the high relation with vast populatio...

A Study on the Application of BP Neural Network Based on Visual Recognition in Regional Economic Forecasting.

Computational intelligence and neuroscience
The economic growth in the new normal is no longer limited to the total amount and scale of economic growth in the traditional and neoclassical periods, but has changed to "quality" and "development" under the dual requirements of historical changes ...

Assessing spatial connectivity effects on daily streamflow forecasting using Bayesian-based graph neural network.

The Science of the total environment
Data-driven models have been widely developed and achieved impressive results in streamflow prediction. However, the existing data-driven models mostly focus on the selection of input features and the adjustment of model structure, and less on the im...

Developing a hybrid time-series artificial intelligence model to forecast energy use in buildings.

Scientific reports
The development of a reliable energy use prediction model is still difficult due to the inherent complex pattern of energy use data. There are few studies developing a prediction model for the one-day-ahead energy use prediction in buildings and opti...

Algorithms and the future of work.

American journal of industrial medicine
An algorithm refers to a series of stepwise instructions used by a machine to perform a mathematical operation. In 1955, the term artificial intelligence (AI) was coined to indicate that a machine could be programmed to duplicate human intelligence. ...