AIMC Topic: Forecasting

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A survey on advanced machine learning and deep learning techniques assisting in renewable energy generation.

Environmental science and pollution research international
The sustainability of the earth depends on renewable energy. Forecasting the output of renewable energy has a big impact on how we operate and manage our power networks. Accurate forecasting of renewable energy generation is crucial to ensuring grid ...

Ironies of artificial intelligence.

Ergonomics
Bainbridge's was a prescient description of automation related challenges for human performance that have characterised much of the 40 years since its publication. Today a new wave of automation based on artificial intelligence (AI) is being introdu...

A highly accurate method for forecasting the compressor geometric variable system based on the data-driven method.

PloS one
To make the puzzle of aero-engines complete, understanding the law of the compressor geometric variable system is a vital part. Modeling all aspects of aero-engines quickly has been a continuous area of research since the advent of artificial intelli...

The role of artificial intelligence in the future of urogynecology.

International urogynecology journal
Artificial intelligence (AI) in medicine is a rapidly growing field aimed at using machine learning models to improve health outcomes and patient experiences. Many new platforms have become accessible and therefore it seems inevitable that we conside...

Harnessing the power of AI: Advanced deep learning models optimization for accurate SARS-CoV-2 forecasting.

PloS one
The pandemic has significantly affected many countries including the USA, UK, Asia, the Middle East and Africa region, and many other countries. Similarly, it has substantially affected Malaysia, making it crucial to develop efficient and precise for...

Intellectual cyborgs and the future of science.

Trends in cognitive sciences
Unlike classical artificial intelligence (AI), generative AI has the potential to transform scientists into intellectual cyborgs. Leveraging embodied cognition and extended mind theories can help us understand this scientific revolution. Despite ethi...

Applying a Smartwatch to Predict Work-related Fatigue for Emergency Healthcare Professionals: Machine Learning Method.

The western journal of emergency medicine
INTRODUCTION: Healthcare professionals frequently experience work-related fatigue, which may jeopardize their health and put patient safety at risk. In this study, we applied a machine learning (ML) approach based on data collected from a smartwatch ...

SCOPE: predicting future diagnoses in office visits using electronic health records.

Scientific reports
We propose an interpretable and scalable model to predict likely diagnoses at an encounter based on past diagnoses and lab results. This model is intended to aid physicians in their interaction with the electronic health records (EHR). To accomplish ...

Appropriate Reliance on Artificial Intelligence in Radiology Education.

Journal of the American College of Radiology : JACR
Users of artificial intelligence (AI) can become overreliant on AI, negatively affecting the performance of human-AI teams. For a future in which radiologists use interpretive AI tools routinely in clinical practice, radiology education will need to ...

Long-lead streamflow forecasting using computational intelligence methods while considering uncertainty issue.

Environmental science and pollution research international
While some robust artificial intelligence (AI) techniques such as Gene-Expression Programming (GEP), Model Tree (MT), and Multivariate Adaptive Regression Spline (MARS) have been frequently employed in the field of water resources, documents aimed to...