Deep learning has been the answer to many machine learning problems during the past two
decades. However, it comes with two significant constraints: dependency on extensive …

Technologies related to artificial intelligence (AI) have a strong impact on the changes of
research and creative practices in visual arts. The growing number of research initiatives …

Managing, protecting, and the evolutionary development of historical landscapes require
robust frameworks and processes for forming datasets and advanced decision support tools …

Abstract The application of Machine Learning (ML) to Cultural Heritage (CH) has evolved
since basic statistical approaches such as Linear Regression to complex Deep Learning …

Deep neural networks such as convolutional neural networks (CNNs) and transformers have
achieved many successes in image classification in recent years. It has been consistently …

Melanoma skin cancer is cancer that difficult to detect. In this study, have been done
melanoma cancer classification using Convolutional Neural Network (CNN). CNN is a class …

Iconography in art is the discipline that studies the visual content of artworks to determine
their motifs and themes and to characterize the way these are represented. It is a subject of …

Have you ever looked at a painting and wondered what is the story behind it? This work
presents a framework to bring art closer to people by generating comprehensive …

Real-world applications of computer vision in the humanities require algorithms to be robust
against artistic abstraction, peripheral objects, and subtle differences between fine-grained …

Crop diseases have always been a dilemma as it can cause significant diminution in both
quality and quantity of agricultural yields. Thus, automatic recognition and severity …