AIMC Topic: Forecasting

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Hourly Water Level Forecasting in an Hydroelectric Basin Using Spatial Interpolation and Artificial Intelligence.

Sensors (Basel, Switzerland) Dec 25, 2022
In this work, a new hydroelectric basin modelling approach is described and applied to the Pontecosi basin, Italy. Several types of data sources were used to learn the model: a number of weather stations, satellite observations, the reanalysis datase...
Neural Networks, Computer Spatial Analysis Artificial Intelligence Weather Water Environmental Monitoring Forecasting
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Emulating future neurotechnology using magic.

Consciousness and cognition Dec 23, 2022
Recent developments in neuroscience and artificial intelligence have allowed machines to decode mental processes with growing accuracy. Neuroethicists have speculated that perfecting these technologies may result in reactions ranging from an invasion...
Artificial Intelligence Prospective Studies Forecasting Humans Neurosciences Problem Solving
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Forecasting blood demand for different blood groups in Shiraz using auto regressive integrated moving average (ARIMA) and artificial neural network (ANN) and a hybrid approaches.

Scientific reports Dec 20, 2022
Providing fresh blood to keep people in need of blood alive, has always been a main issues of health systems. Right policy-making in this area requires accurate forecasting of blood demand. The current study aimed at predicting demand for different b...
Neural Networks, Computer Forecasting Humans Models, Statistical Iran Incidence China
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Recent Advances in Artificial Intelligence and Tactical Autonomy: Current Status, Challenges, and Perspectives.

Sensors (Basel, Switzerland) Dec 16, 2022
This paper presents the findings of detailed and comprehensive technical literature aimed at identifying the current and future research challenges of tactical autonomy. It discusses in great detail the current state-of-the-art powerful artificial in...
Robotics Machine Learning Humans Physicians Artificial Intelligence Forecasting
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A robust and resilience machine learning for forecasting agri-food production.

Scientific reports Dec 16, 2022
This research proposes a new framework for agri-food capacity production by considering resiliency and robustness and paying attention to disruption and risk for the first time. It is applied robust stochastic optimization by adding robustness to the...
Food Forecasting Machine Learning Data Collection
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Forecasting the Status of Municipal Waste in Smart Bins Using Deep Learning.

International journal of environmental research and public health Dec 14, 2022
The immense growth of the population generates a polluted environment that must be managed to ensure environmental sustainability, versatility and efficiency in our everyday lives. Particularly, the municipality is unable to cope with the increase in...
Deep Learning Cities Time Factors Neural Networks, Computer Forecasting
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Stock index trend prediction based on TabNet feature selection and long short-term memory.

PloS one Dec 13, 2022
In this study, we propose a predictive model TabLSTM that combines machine learning methods such as TabNet and Long Short-Term Memory Neural Network (LSTM) with a complete factor library for stock index trend prediction. Our motivation is based on th...
Forecasting Neural Networks, Computer Investments
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Artificial intelligence technologies in bioprocess: Opportunities and challenges.

Bioresource technology Dec 9, 2022
Bioprocess control and optimization are crucial for tapping the metabolic potential of microorganisms, and which have made great progress in the past decades. Combination of the current control and optimization technologies with the latest computer-b...
Forecasting Evidence Gaps Artificial Intelligence Models, Theoretical
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Hybrid fuzzy inference rules of descent method and wavelet function for volatility forecasting.

PloS one Dec 9, 2022
This research employs the gradient descent learning (FIR.DM) approach as a learning process in a nonlinear spectral model of maximum overlapping discrete wavelet transform (MODWT) to improve volatility prediction of daily stock market prices using Sa...
Wavelet Analysis Neural Networks, Computer Forecasting Nonlinear Dynamics
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Water consumption prediction and influencing factor analysis based on PCA-BP neural network in karst regions: a case study of Guizhou Province.

Environmental science and pollution research international Dec 8, 2022
Water consumption prediction is an integral part of water resource planning and management. Constructing a highly precise water consumption prediction model is of great significance for promoting regional water resource planning and high-quality deve...
Neural Networks, Computer Principal Component Analysis Drinking China Forecasting
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