AIMC Topic: Forecasting

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Prediction of Retail Price of Sporting Goods Based on LSTM Network.

Computational intelligence and neuroscience
Commodity prices play a unique role as a lever to regulate the economy. Price forecasting is an important part of macrodecision-making and micromanagement. Because there are many factors affecting the price of goods, price prediction has become a dif...

Construction of a Prediction Model for College Students' Psychological Disorders Based on Decision Systems and Improved Neural Networks.

Computational intelligence and neuroscience
Modeling and prediction of psychological disorders is a hot topic in current research. Neural networks are very important factors in improving the accuracy and precision ratios of the models which are developed for the prediction of the psychological...

Artificial Intelligence: Present and Future Potential for Solid Organ Transplantation.

Transplant international : official journal of the European Society for Organ Transplantation
Artificial intelligence (AI) refers to computer algorithms used to complete tasks that usually require human intelligence. Typical examples include complex decision-making and- image or speech analysis. AI application in healthcare is rapidly evolvin...

Design of Drug Sales Forecasting Model Using Particle Swarm Optimization Neural Networks Model.

Computational intelligence and neuroscience
The establishment of enterprise target inventory is directly related to the forecast of drug sales volume. Accurate sales forecasting can help businesses not only set accurate target inventory but also avoid inventory backlogs and shortages. In this ...

Artificial intelligence in clinical applications for lung cancer: diagnosis, treatment and prognosis.

Clinical chemistry and laboratory medicine
Artificial intelligence (AI) is a branch of computer science that includes research in robotics, language recognition, image recognition, natural language processing, and expert systems. AI is poised to change medical practice, and oncology is not an...

VOC-DL: Deep learning prediction model for COVID-19 based on VOC virus variants.

Computer methods and programs in biomedicine
BACKGROUND AND OBJECTIVE: The ever-mutating COVID-19 has infected billions of people worldwide and seriously affected the stability of human society and the world economic development. Therefore, it is essential to make long-term and short-term forec...

Comparative Analysis of Major Machine-Learning-Based Path Loss Models for Enclosed Indoor Channels.

Sensors (Basel, Switzerland)
Unlimited access to information and data sharing wherever and at any time for anyone and anything is a fundamental component of fifth-generation (5G) wireless communication and beyond. Therefore, it has become inevitable to exploit the super-high fre...

Sales Forecast of Marketing Brand Based on BP Neural Network Model.

Computational intelligence and neuroscience
With the advancement of globalization, the market competition among enterprises has become increasingly intense. To win a good market, an enterprise must understand and grasp the laws of the market economy and accordingly predict the future of the ma...

Application of Deep Learning Model in the Avoidance of Investment Risk of Multinational Enterprises.

Computational intelligence and neuroscience
With the continuous improvement and development of the socialist market economic system, China's economic development has full momentum, but the domestic market is no longer sufficient to meet the needs of enterprise development. China has always foc...

Improved CEEMDAN, GA, and SVR Model for Oil Price Forecasting.

Journal of environmental and public health
Accurate prediction of crude oil prices (COPs) is a challenge for academia and industry. Therefore, the present research developed a new CEEMDAN-GA-SVR hybrid model to predict COPs, incorporating complete ensemble empirical mode decomposition with ad...