IMPROVING THE FORECASTING PERFORMANCE OF TAIWAN CAR SALES MOVEMENT DIRECTION USING ONLINE SENTIMENT DATA AND CNN-LSTM MODEL

Improving the Forecasting Performance of Taiwan Car Sales Movement Direction Using Online Sentiment Data and CNN-LSTM Model

The automotive industry is the leading producer of machines in Taiwan and worldwide.Developing effective methods for forecasting car sales can allow car companies to arrange their production and sales plans.Capitalizing on the growth of social media and deep learning algorithms, this research aimed to improve the overall performance of the forecast

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Lightweight mobile network for real-time violence recognition

Most existing violence recognition methods have ross tenderizer complex network structures and high cost of computation and cannot meet the requirements of large-scale deployment.The purpose of this paper is to reduce the complexity of the model to realize the application of violence recognition on mobile intelligent terminals.To solve this problem

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A low dose of risperidone resolved Charles Bonnet syndrome after an unsuccessful trial of quetiapine: a case report

Sultan H Alamri College of Medicine, rock cliff reservoir King Abdulaziz University, Jeddah, Kingdom of Saudi Arabia Abstract: Charles Bonnet syndrome (CBS) is a diagnosis of exclusion.Typical affected patients have impaired visual acuity, vivid recurring visual hallucinations, and no cognitive impairment.Vision loss is most commonly due to macular

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