AIMC Topic: Forecasting

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Enhanced Neural Network-Based Univariate Time-Series Forecasting Model for Big Data.

Big data Feb 24, 2023
Big data is a combination of large structured, semistructured, and unstructured data collected from various sources that must be processed before using them in many analytical applications. Anomalies or inconsistencies in big data refer to the occurr...
Neural Networks, Computer Algorithms Forecasting Big Data Time Factors
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Incorporating variant frequencies data into short-term forecasting for COVID-19 cases and deaths in the USA: a deep learning approach.

EBioMedicine Feb 21, 2023
BACKGROUND: Since the US reported its first COVID-19 case on January 21, 2020, the science community has been applying various techniques to forecast incident cases and deaths. To date, providing an accurate and robust forecast at a high spatial reso...
Humans COVID-19 Forecasting SARS-CoV-2 Deep Learning United States Benchmarking
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Artificial intelligence for clinical oncology: current status and future outlook.

Science bulletin Feb 16, 2023
Artificial Intelligence Forecasting Medical Oncology
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Medical multivariate time series imputation and forecasting based on a recurrent conditional Wasserstein GAN and attention.

Journal of biomedical informatics Feb 13, 2023
OBJECTIVE: In the fields of medical care and research as well as hospital management, time series are an important part of the overall data basis. To ensure high quality standards and enable suitable decisions, tools for precise and generic imputatio...
Neural Networks, Computer Forecasting Time Factors Uncertainty
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Deep-Learning Model for Influenza Prediction From Multisource Heterogeneous Data in a Megacity: Model Development and Evaluation.

Journal of medical Internet research Feb 13, 2023
BACKGROUND: In megacities, there is an urgent need to establish more sensitive forecasting and early warning methods for acute respiratory infectious diseases. Existing prediction and early warning models for influenza and other acute respiratory inf...
Humans Forecasting Deep Learning Influenza, Human Climate Epidemics
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Data-driven prediction of greenhouse aquaponics air temperature based on adaptive time pattern network.

Environmental science and pollution research international Feb 10, 2023
Greenhouse aquaponics system (GHAP) improves productivity by harmonizing internal environments. Keeping a suitable air temperature of GHAP is essential for the growth of plant and fish. However, the disturbance of various environmental factors and th...
Neural Networks, Computer Forecasting Temperature Time Factors
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Insights and trends review: artificial intelligence in hand surgery.

The Journal of hand surgery, European volume Feb 9, 2023
Artificial intelligence (AI) in hand surgery is an emerging and evolving field that will likely play a large role in the future care of our patients. However, there remain several challenges to makes this technology meaningful, acceptable and usable ...
Humans Artificial Intelligence Machine Learning Forecasting Hand Specialties, Surgical
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Building an automated, machine learning-enabled platform for predicting post-operative complications.

Physiological measurement Feb 9, 2023
. In 2019, the University of Florida College of Medicine launched thealgorithm to predict eight major post-operative complications using automatically extracted data from the electronic health record.. This project was developed in parallel with our ...
Humans Machine Learning Forecasting Electronic Health Records
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Forecasting the United State Dollar(USD)/Bangladeshi Taka (BDT) exchange rate with deep learning models: Inclusion of macroeconomic factors influencing the currency exchange rates.

PloS one Feb 7, 2023
Forecasting a currency exchange rate is one of the most challenging tasks nowadays. Due to government monetary policy and some uncertain factors, such as political stability, it becomes difficult to correctly forecast the currency exchange rate. Prev...
Neural Networks, Computer Machine Learning Forecasting Deep Learning Time Factors Models, Statistical
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Human Factor Engineering Research for Rehabilitation Robots: A Systematic Review.

Computational intelligence and neuroscience Feb 6, 2023
The application of human factors engineering for rehabilitation robots is based on a "human-centered" design philosophy that strives to provide safe and efficient human-robot interaction training for patients rather than depending on rehabilitation t...
Humans Forecasting Robotics
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