AIMC Topic: Forecasting

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State Causality and Adaptive Covariance Decomposition Based Time Series Forecasting.

Sensors (Basel, Switzerland) Jan 10, 2023
Time series forecasting is a very vital research topic. The scale of time series in numerous industries has risen considerably in recent years as a result of the advancement of information technology. However, the existing algorithms pay little atten...
Time Factors Forecasting Algorithms Neural Networks, Computer
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Predicting the monthly consumption and production of natural gas in the USA by using a new hybrid forecasting model based on two-layer decomposition.

Environmental science and pollution research international Jan 9, 2023
As an efficient, economical, and clean energy, natural gas plays an important role in the development of the new energy revolution. Accurate prediction of natural gas consumption and production can adjust energy deployment in advance, which can ensur...
Neural Networks, Computer Forecasting Natural Gas Time Factors
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Urban Flooding Prediction Method Based on the Combination of LSTM Neural Network and Numerical Model.

International journal of environmental research and public health Jan 6, 2023
At present, urban flood risk analysis and forecasting and early warning mainly use numerical models for simulation and analysis, which are more accurate and can reflect urban flood risk well. However, the calculation speed of numerical models is slow...
Floods Artificial Intelligence Risk Assessment Forecasting Neural Networks, Computer
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Hybrid attention-based temporal convolutional bidirectional LSTM approach for wind speed interval prediction.

Environmental science and pollution research international Jan 5, 2023
Precise wind speed prediction is crucial for the management of the wind power generation systems. However, the stochastic nature of the wind speed makes optimal interval prediction very complicated. In this paper, a hybrid approach consisting of impr...
Uncertainty Algorithms Neural Networks, Computer Forecasting
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Computational pathology in 2030: a Delphi study forecasting the role of AI in pathology within the next decade.

EBioMedicine Jan 4, 2023
BACKGROUND: Artificial intelligence (AI) is rapidly fuelling a fundamental transformation in the practice of pathology. However, clinical integration remains challenging, with no AI algorithms to date in routine adoption within typical anatomic patho...
Humans Artificial Intelligence Delphi Technique Forecasting Surveys and Questionnaires Algorithms
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A Synthetic Data Generation Technique for Enhancement of Prediction Accuracy of Electric Vehicles Demand.

Sensors (Basel, Switzerland) Jan 4, 2023
In terms of electric vehicles (EVs), electric kickboards are crucial elements of smart transportation networks for short-distance travel that is risk-free, economical, and environmentally friendly. Forecasting the daily demand can improve the local s...
Weather Random Forest Neural Networks, Computer Forecasting Algorithms
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Advances in artificial intelligence to predict cancer immunotherapy efficacy.

Frontiers in immunology Jan 4, 2023
Tumor immunotherapy, particularly the use of immune checkpoint inhibitors, has yielded impressive clinical benefits. Therefore, it is critical to accurately screen individuals for immunotherapy sensitivity and forecast its efficacy. With the applicat...
Neoplasms Artificial Intelligence Immunotherapy Genomics Forecasting Humans
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[Future perspectives in surgery from a German point of view].

Chirurgie (Heidelberg, Germany) Jan 2, 2023
In this article two aspects of the topic of future perspectives in surgery from a German point of view are discussed: firstly, topics of healthcare policy, such as upcoming alterations of the healthcare system, including required minimum quantities w...
Artificial Intelligence Precision Medicine Health Policy Delivery of Health Care Forecasting
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A Hybrid Model for Coronavirus Disease 2019 Forecasting Based on Ensemble Empirical Mode Decomposition and Deep Learning.

International journal of environmental research and public health Dec 29, 2022
The novel coronavirus pneumonia that began to spread in 2019 is still raging and has placed a burden on medical systems and governments in various countries. For policymaking and medical resource decisions, a good prediction model is necessary to mon...
Forecasting Epidemics Deep Learning Neural Networks, Computer Humans COVID-19
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Machine learning in the coagulation and hemostasis arena: an overview and evaluation of methods, review of literature, and future directions.

Journal of thrombosis and haemostasis : JTH Dec 28, 2022
Artificial Intelligence and machine-learning (ML) studies are increasingly populating the life science space and some have also started to integrate certain clinical decision support tasks. However, most of the activities within this space understand...
Artificial Intelligence Machine Learning Humans Decision Support Systems, Clinical Blood Coagulation Forecasting
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