AIMC Topic: Forecasting

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The Future Is Now: How Technology and Entertainment Are Transforming Education in the Artificial Intelligence Era.

Journal of the American College of Radiology : JACR Aug 11, 2022
Artificial Intelligence Forecasting Technology Educational Status Leisure Activities
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Reducing Detrimental Communication Failure Impacts in Microgrids by Using Deep Learning Techniques.

Sensors (Basel, Switzerland) Aug 11, 2022
A Microgrid (MG), like any other smart and interoperable power system, requires device-to-device (D2D) communication structures in order to function effectively. This communication system, however, is not immune to intentional or unintentional failur...
Forecasting Computer Simulation Communication Deep Learning
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Nested Bee Hive: A Conceptual Multilayer Architecture for 6G in Futuristic Sustainable Smart Cities.

Sensors (Basel, Switzerland) Aug 9, 2022
Several smart city ideas are introduced to manage various problems caused by overpopulation, but the futuristic smart city is a concept based on dense and artificial-intelligence-centric cities. Thus, massive device connectivity with huge data traffi...
Artificial Intelligence Algorithms Forecasting Animals Cities Bees
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A novel approach for COVID-19 Infection forecasting based on multi-source deep transfer learning.

Computers in biology and medicine Aug 5, 2022
COVID-19 is a contagious disease; so, predicting its future infections in a provincial region requires the consideration of the related data (i.e., rates of infection, mortality and recovery, etc.) over a period of time. Clearly, the COVID-19 data of...
Humans Neural Networks, Computer COVID-19 Algorithms Forecasting Deep Learning
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Analysis of environmental factors using AI and ML methods.

Scientific reports Aug 2, 2022
The main goal of this research paper is to apply a deep neural network model for time series forecasting of environmental variables. Accurate forecasting of snow cover and NDVI are important issues for the reliable and efficient hydrological models a...
Neural Networks, Computer Forecasting Temperature
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The Prediction of Enterprise Stock Change Trend by Deep Neural Network Model.

Computational intelligence and neuroscience Aug 2, 2022
This study aims to accurately predict the changing trend of stocks in stock trading so that company investors can obtain higher returns. In building a financial forecasting model, historical data and learned parameters are used to predict future stoc...
Neural Networks, Computer Forecasting China
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Automatic grading for Arabic short answer questions using optimized deep learning model.

PloS one Aug 2, 2022
Auto-grading of short answer questions is considered a challenging problem in the processing of natural language. It requires a system to comprehend the free text answers to automatically assign a grade for a student answer compared to one or more mo...
Humans Neural Networks, Computer Algorithms Forecasting Language Deep Learning
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Temperature Prediction of Seasonal Frozen Subgrades Based on CEEMDAN-LSTM Hybrid Model.

Sensors (Basel, Switzerland) Aug 1, 2022
Improving the temperature prediction accuracy for subgrades in seasonally frozen regions will greatly help improve the understanding of subgrades' thermal states. Due to the nonlinearity and non-stationarity of the temperature time series of subgrade...
Neural Networks, Computer Forecasting Temperature Seasons
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Health Information Prediction System of Infant Sports Based on Deep Learning Network.

BioMed research international Jul 31, 2022
The sensed data from infant sports and training programs are useful in analyzing their health conditions and forecasting any disorders or abnormalities. The sensed information is processed for providing errorless predictions for infant diseases/disor...
Humans Artificial Intelligence Forecasting Infant Deep Learning Sports
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Research on Blended Teaching of Flipped Classroom Based on CNN-SSA-Bi-LSTM Deep Learning Model Computer Media.

Computational intelligence and neuroscience Jul 30, 2022
Aiming at the problem that the influencing factors of computer media flipped classroom hybrid teaching lead to the teaching effect not reaching the expected, this study proposes an ultra-short-term prediction model based on CNN-SSA-Bi-LSTM. CNN-SSA-B...
Neural Networks, Computer Forecasting Computers Deep Learning
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