Explainable Artificial Intelligence (XAI) has become a crucial area within AI, emphasizing the transparency and interpretability of complex models. In this context, this research meticulously examines diverse datasets from medical, financial, and socio-economic…
Approches symboliques pour une intelligence artificielle explicable L'adoption généralisée de l'IA est due aux progrès considérables réalisés par les modèles d’apprentissage automatique en termes de performances. Ces algorithmes sont appliqués pour aider les d…
Nuclear Power Plants (NPPs) can face challenges in maintaining standard operations due to a range of issues, including human mistakes, mechanical breakdowns, electrical problems, measurement errors, and external influences. Swift and precise detection of these…
Explicabilité d'un système de notation de risque de crédit basé sur l'intelligence artificielle Au cours des dernières années, le déficit de financement du commerce a atteint le chiffre alarmant de 1 500 milliards de dollars, soulignant une crise croissante dans…
Devido ao crescente interesse pelo aumento da produtividade e redução de custos no ambiente industrial, novas técnicas de monitoramento de máquinas rotativas estão surgindo.A Inteligência Artificial (IA) é uma das abordagens que tem sido proposta para analisar…
Xenophobia is hate speech characterized by hatred, fear, or rejection of people from other communities. The growth of the internet worldwide has resulted in the rapid expansion in the use of social networks. The excessive use of social networks has led to hate…
Background The rapid growth of medical literature necessitates effective, transparent automation tools for classification. Generative large language models (LLMs), including the Generative Pre-trained Transformer (GPT), have the potential to provide transparen…
Artificial intelligence (AI) systems developed with automated machine learning procedures are used throughout industry, science, and society. However, the opacity of these systems threatens to undermine the satisfaction of critical desiderata including safety,…
This thesis explores the role and impact of Artificial Intelligence on the design of modern firewalls due to the advancement of Artificial Intelligence (AI), particularly how AI-based methods transcend the barriers of the traditional rule-based approaches and…
Multimodal artificial intelligence (AI) is a cutting-edge technique that integrates diverse modalities, such as imaging and textual data, to enhance classification and regression tasks. This dissertation focuses on the integration, comparison, and evaluation o…
Artificial intelligence algorithms have been found to perpetuate societal biases that have been embedded in the system over decades due to historical discrimination. In the recruitment sector, this often manifested in biased hiring decisions, where the AI-driv…
In the development of smart cities, the integration of Internet of Things (IoT) and Artificial Intelligence (AI) technologies promises to address urban challenges yet raises significant security and ethical concerns. This study emphasizes the need for robust g…
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