Azillah Binti Othman, IAEA Department of Nuclear Sciences and Applications Ayhan Evrensel, IAEA Department of Nuclear Sciences and Applications The IAEA is inviting research organizations to join a ...

Abstract: The Canopy Geometric Structure for Crop Yield Estimation Using PCA-Driven Machine Learning Models with Hyperspectral Images (CGCPMH) utilizes UAV-mounted hyperspectral imagery for estimating ...

You're probably a little tired of reading or hearing about AI, right? Well, if that's the case, then you're in the right place because here, we're going to talk about machine learning (ML). Yes, it's ...

Text-based depression estimation using natural language processing has emerged as a feasible approach for early mental health screening. However, most existing reviews often included studies with weak ...

Objective: This study evaluated the feasibility of using a smartphone app to predict mental health risks in non-clinical adolescents by integrating active and passive data streams within a machine ...

Abstract: Many features are implemented in computer vision and machine learning applications. Because no one knows how a feature affects the classification results of machine learning methods.

Dr. Gruber is a marine biologist and the head of Project CETI. One afternoon in January 2024, off the island of Dominica in the Atlantic Ocean, a sperm whale named Pinchy and I drifted calmly at the ...

Predict whether a college student will be placed after graduation based on various academic and personal factors using machine learning algorithms. machine_learning_project/ │ ├── data/ # Data files │ ...

Artificial intelligence tools like ChatGPT and DALL·E are rapidly transforming how we create images, tell stories, and even build entire comic books. In this episode of Today in Tech, Keith Shaw sits ...

Machine Learning projects with source code - Machine Learning projects for beginners, ML projects for final year college students, machine learning projects - beginner to advanced ...

10 The George Institute for Global Health, School of Public Health, Imperial College London, London, UK Background Cardiovascular risk is underassessed in women. Many women undergo screening ...