Binary classification is a type of image classification where you essentially train a model on two different labelled objects ...

Researchers at the University of California, Los Angeles (UCLA), in collaboration with UC Berkeley, have developed a new type ...

Although deep learning–based image recognition technology is rapidly advancing, it still remains difficult to clearly explain ...

Develop an AI-based image classification system using CNN and transfer learning. The project includes data preprocessing, model training, fine-tuning, evaluation with precision, recall, and F1-score, ...

Article subjects are automatically applied from the ACS Subject Taxonomy and describe the scientific concepts and themes of the article. Figure 1 illustrates the overall workflow of the hyperspectral ...

I-Machine Learning for the Birds: Ukwakha I-Our Own Bird Vocalization Classifier nge Picture in the Noise 20 imiz read 2025/06/08 XH ...

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 ...

Royalty-free licenses let you pay once to use copyrighted images and video clips in personal and commercial projects on an ongoing basis without requiring additional payments each time you use that ...

Through the AI x Library Project, CNN commentator, activist and entrepreneur Van Jones and project co-leaders Inayah Bashir and Steven Pargett are ensuring Black and Brown communities have free, hands ...

Abstract: Bone tumors can be associated with severe health risks. Early detection is one of the most critical aspects of treatment. This project focuses on developing a machine learning approach that ...