This article discusses the growth opportunities in the deep learning market, which is projected to reach a revenue of US$ 406 billion by 2032.…
Browsing: Classification
Decision trees are a popular type of machine learning model that are known for their simplicity and interpretability. They use a hierarchical structure of…
This study used machine learning algorithms and diffusion tensor imaging to classify individuals with OCD and healthy controls. Results showed that these measures were…
This article discusses the use of deep learning in network traffic classification research, specifically focusing on the Multi-Task Learning Fusion (MTEFU) algorithm. The article…
This article provides a straightforward guide to machine learning, breaking down the big ideas into easy-to-understand parts. It covers different methods of teaching machines,…
This article discusses the application of a Convolutional Neural Network (CNN) model in tactical analysis and evaluation of women’s football teams. The article explains…
This study presents a deep learning model that can accurately classify eight commonly used intraoperative and intraprocedural TEE views across a wide range of…
This Special Issue calls for research articles that present innovative methods or applications that infuse knowledge in remote sensing data processing. It is important…
Data science is one of the most rewarding and in-demand fields in the 21st century. Data scientists are responsible for collecting, cleaning, analyzing, and…
This paper reviews existing research on brain tumor detection and discusses the importance of medical imaging modalities, particularly MRI. It proposes a method involving…