AIMC Topic: Forecasting

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

Sensors (Basel, Switzerland) Jun 30, 2022
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...
Neural Networks, Computer Machine Learning Algorithms Forecasting Linear Models
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Sales Forecast of Marketing Brand Based on BP Neural Network Model.

Computational intelligence and neuroscience Jun 28, 2022
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...
Humans Neural Networks, Computer Forecasting Commerce Marketing
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Application of Deep Learning Model in the Avoidance of Investment Risk of Multinational Enterprises.

Computational intelligence and neuroscience Jun 28, 2022
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...
Neural Networks, Computer Forecasting Deep Learning Investments
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Improved CEEMDAN, GA, and SVR Model for Oil Price Forecasting.

Journal of environmental and public health Jun 27, 2022
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...
Forecasting Support Vector Machine Petroleum
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Optimal Task Allocation Algorithm Based on Queueing Theory for Future Internet Application in Mobile Edge Computing Platform.

Sensors (Basel, Switzerland) Jun 25, 2022
For 5G and future Internet, in this paper, we propose a task allocation method for future Internet application to reduce the total latency in a mobile edge computing (MEC) platform with three types of servers: a dedicated MEC server, a shared MEC ser...
Algorithms Forecasting Internet Cloud Computing Computer Heuristics
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Forecasting Subway Passenger Flow for Station-Level Service Supply.

Big data Jun 24, 2022
Demand forecasting is one of the managers' concerns in service supply chain management. With accurate passenger flow forecasting, the station-level service suppliers can make better service plans accordingly. However, the existing forecasting model c...
Neural Networks, Computer Forecasting Deep Learning Big Data Beijing Railroads
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5G Traffic Prediction Based on Deep Learning.

Computational intelligence and neuroscience Jun 24, 2022
The demand of wireless access users is increasing explosively. The 5G network traffic is increasing exponentially and showing a trend of diversity and heterogeneity, which makes network traffic forecasting face many challenges. By studying the actual...
Neural Networks, Computer Algorithms Forecasting Deep Learning
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Prospects and Challenges of Using Machine Learning for Academic Forecasting.

Computational intelligence and neuroscience Jun 17, 2022
The study examines the prospects and challenges of machine learning (ML) applications in academic forecasting. Predicting academic activities through machine learning algorithms presents an enhanced means to accurately forecast academic events, inclu...
Humans Neural Networks, Computer Artificial Intelligence Machine Learning Algorithms Forecasting Bayes Theorem
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China's GDP forecasting using Long Short Term Memory Recurrent Neural Network and Hidden Markov Model.

PloS one Jun 17, 2022
This paper presents a Long Short Term Memory Recurrent Neural Network and Hidden Markov Model (LSTM-HMM) to predict China's Gross Domestic Product (GDP) fluctuation state within a rolling time window. We compare the predictive power of LSTM-HMM with ...
Neural Networks, Computer Forecasting China Gross Domestic Product
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Road Traffic Forecast Based on Meteorological Information through Deep Learning Methods.

Sensors (Basel, Switzerland) Jun 14, 2022
Forecasting road flow has strong importance for both allowing authorities to guarantee safety conditions and traffic efficiency, as well as for road users to be able to plan their trips according to space and road occupation. In a summer resort, such...
Neural Networks, Computer Forecasting Deep Learning Weather Meteorology
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