Structural resilience and safety are critical concerns in modern infrastructure, particularly in the face of increasing seismic risks and aging buildings. While advanced artificial intelligence (AI) techniques offer promising solutions for structural design, d…
Medical Image Segmentation is a critical task in the field of medical imaging, playing a crucial role in diagnostics, treatment planning, and disease monitoring. The emergence of Deep Learning (DL) has ushered in a new era in Artificial Intelligence (AI), prop…
Breast cancer remains a leading cause of cancer-related mortality among women worldwide, which demands innovations in early detection and diagnostic efficiency. Existing approaches often neglect peri-tumoral contextual features, rely on limited or unrealistic…
Natural Language Processing (NLP) aims to develop models that enable computers to understand, interpret, process and generate text in a way similar to human communication. The last decade has seen significant advances in the field, with the introduction of dee…
This paper presents the development and application of the BERT model (Bidirectional Encoder Representations from Transformers) for sentiment analysis in Portuguese texts, focusing on data from social networks. The study is justified by the need to understand…
Effectively managing businesses is perhaps the ultimate testbed for AI. It requires creativity. It requires reasoning. It requires intelligence. Logistics forms the backbone of our economy. From the food we eat, to the computers we work on, to the planes we fl…
Vers un apprentissage avec peu d’annotations en vision par ordinateur : Application à la classification et à la détection d’objets dans les images Nous développons dans cette thèse des contributions théoriques, algorithmiques et expérimentales pour l’apprentis…
Automated audio captioning is a challenging cross-modal task that takes an audio sample as input to analyze it and generate its caption in natural language as output.The existing datasets for audio captioning such as AudioCaps and Clotho encompass a diverse ra…
Breast cancer has emerged as the most prevalent form of cancer worldwide and the leading cause of mortality from any cancer in women, emphasising the critical need for its early detection. Traditional 2D mammography has long been the cornerstone of breast canc…
Bacteria are critical subjects of microbiological research that span many rapidly-growing fields of study.The development and widespread application of high-throughput sequencing has led to more microbial data being collected in recent years than ever before.T…
The increase of the world population has brought significant challenges to the agriculture production system. Although mechanization has been realized in agriculture, many tasks (e.g., breeding, field inspection) are still labor-intensive and time-consuming. T…
Optimisation d'un système de video surveillance dans les villes intelligentes en utilisant le Deep Learning et la video compressive sensing La technique de compressive sensing joue un rôle important dans le traitement des données vu que l’acquisition et la com…
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