Predictive models for concrete properties using machine learning and deep learning approaches: A review
Concrete is one of the most widely used materials in various civil engineering applications.
Its global production rate is increasing to meet demand. Mechanical properties of concrete …
Its global production rate is increasing to meet demand. Mechanical properties of concrete …
Combustion machine learning: Principles, progress and prospects
Progress in combustion science and engineering has led to the generation of large amounts
of data from large-scale simulations, high-resolution experiments, and sensors. This corpus …
of data from large-scale simulations, high-resolution experiments, and sensors. This corpus …
State of health estimation for lithium-ion batteries based on temperature prediction and gated recurrent unit neural network
Accurate state of health estimation for lithium-ion batteries is crucial to ensure the safety and
reliability of electric vehicles. This study presents an accurate state of health estimation …
reliability of electric vehicles. This study presents an accurate state of health estimation …
Research review for broad learning system: Algorithms, theory, and applications
In recent years, the appearance of the broad learning system (BLS) is poised to
revolutionize conventional artificial intelligence methods. It represents a step toward building …
revolutionize conventional artificial intelligence methods. It represents a step toward building …
Application of artificial intelligence in healthcare: chances and challenges
R Manne, SC Kantheti - Current Journal of Applied Science and …, 2021 - papers.ssrn.com
Use of Artificial intelligence (AI) has increased in the healthcare in many sectors.
Organizations from health care of different sizes, types and different specialties are now a …
Organizations from health care of different sizes, types and different specialties are now a …