Binjumah, W. (2024) The Role of Machine Learning and Deep Learning Approaches to Improve Optical Communication Systems.

and students to use deep learning in their own work. No previous background in machine learning or deep learning is required—every concept is explained from scratch and the appendix provides a ...

A deep learning model can predict the risk for obesity for young children using only routinely collected electronic health ...

A "deep learning" artificial intelligence model developed at Washington State University can identify pathology, or signs of disease, in images of animal and human tissue much faster, and often more ...

Machine learning can enhance our ability to identify communities of microorganisms and how they change in response to climate change over time.

Machine learning is the ability of a machine ... An interactome-based deep learning method has been developed that outperforms standard chemical language models. AI models can extract clinical ...

Affective computing, a field focused on understanding and emulating human emotions, has seen significant advancements thanks ...

Researchers have made significant progress in the field of artificial intelligence by applying deep learning techniques to ...

The algorithm integrates the core ideas of the dark target and deep blue algorithms to facilitate feature selection for machine learning algorithms ... More information: Disong Fu et al, A ...

"Machine learning-based classification techniques require fully ... More information: Laith Alzubaidi et al, Trustworthy deep learning framework for the detection of abnormalities in X-ray shoulder ...