Master’s thesis position (M.Sc. student) in Deep Learning for Healthcare.

Abstract: Aiming at the problems of high computational complexity and insufficient accuracy of traditional deep learning image classification algorithms, a novel network structure called DARN (Dual ...

Abstract: Soil moisture monitoring is crucial for optimizing irrigation practices and enhancing crop productivity in agriculture. Traditional methods using sensors have limitations in terms of cost, ...

First, it’s important we take a step back and view computer vision from the broader hierarchy of AI. This structure starts with the foundation of AI at its base and works its way up through machine ...

Computer vision has emerged as one of the most transformative areas of artificial intelligence, with deep learning models driving unprecedented advancements in both theoretical understanding and ...

Introduction: Breast cancer (BC) is a malignant neoplasm that originates in the mammary gland’s cellular structures and remains one of the most prevalent cancers among women, ranking second in ...

ABSTRACT: Texture recognition and classification is a widely applicable task in computer vision. A key stage in performing this task is feature extraction, which identifies sets of features that ...

ABSTRACT: Texture recognition and classification is a widely applicable task in computer vision. A key stage in performing this task is feature extraction, which identifies sets of features that ...