Frontiers

Automated predictive framework using AI and deep learning approaches for early detection ...

Liver cancer, including hepatocellular carcinoma (HCC), is a leading cause of cancer-related deaths globally, emphasizing the need for accurate and early detection methods. LiverCompactNet classifies ...
IEEE

Human Activity Detection Using Deep Learning

Abstract: Human Activity Recognization (HAR), which focuses mostly on behavioral patterns, security, and health monitoring, is one of the crucial fields of machine learning. The focus is on detecting ...
C&EN

Discovery of Potential Tyrosinase Inhibitors via Machine Learning and Molecular Docking ...

Article subjects are automatically applied from the ACS Subject Taxonomy and describe the scientific concepts and themes of the article. Natural product libraries represent an ideal source for ...
9to5Mac

Apple publishes Human-Centered Machine Learning workshop videos

Today, Apple published on its Machine Learning Research blog, select recordings from its 2024 Workshop on Human-Centered Machine Learning (HCML), highlighting its work on responsible AI development.
C&EN

Image-Based Machine Learning Using Inkjet-Printed Chemicals: Mixing Ratio Prediction and ...

Division of Applied Chemistry, Faculty of Engineering, Hokkaido University, Kita 13, Nishi 8, Kita-ku, Sapporo, Hokkaido 060-8628, Japan ...
Frontiers

Machine Learning for Medical Image Analysis

You will be redirected to our submission process. The “Machine Learning for Medical Image Analysis” Research Topic is dedicated to presentations from the 29th Conference in Medical Image Understanding ...