Mosquitoes are among the deadliest organisms on Earth, transmitting diseases that threaten global health. Malaria alone kills over half a million people annually, mostly young children. While insecticide-treated bed nets and indoor residual spraying have reduc…
This thesis aims to provide a personal contribution to the research area of Trustworthy Artificial Intelligence (AI), focusing on some aspects still largely unexplored. The objective is to develop systems that achieve high predictive accuracy while creating tr…
Insurance fraud is a significant problem that causes financial losses for insurance companies and higher prices for honest customers. Machine learning has been widely used in insurance fraud detection systems. However, fraudulent claims often represent only a…
This dissertation investigates the development of Explainable Artificial Intelligence (XAI) methods for deep learning models in the image domain, with a particular focus on medical imaging applications. Although neural networks achieve high predictive performa…
Project Risk Management (PRM) is a critical component of modern project governance, ensuring that uncertainties are systematically identified, assessed, and mitigated to minimize their impact on project outcomes. However, existing PRM practices remain largely…
Wastewater treatment plants (WWTPs) play a crucial role in protecting public health and the environment by removing contaminants before releasing them back into the environment. However, efficient management of these plants can be challenging because of the co…
This doctoral dissertation, entitled "Application of Explainable Artificial Intelligence to Precision Oncology," explores the development and evaluation of interpretable machine learning models for drug response prediction in personalized cancer therapy. It hi…
ML models have shown remarkable performance in predictions in genomic cancer applications but experience the black-box problem. Where complicated processes of decision making remain non transparent to healthcare professionals and researchers. This absence of i…
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…
The incorporation of Artificial Intelligence (AI) into civil engineering, especially structural engineering, has the potential to improve decision-making by making it more precise and data driven. However, relying on AI to make decisions without understanding…
Artificial Intelligence (AI) models are increasingly being deployed in various critical domains, such as healthcare, finance, law, and autonomous systems, resulting in remarkable benefits for the society. Due to black-box (sub-symbolic) nature, these AI models…
The growing integration of Artificial Intelligence (AI) into public administration challenges a fundamental pillar of the rule of law: the duty to give reasons for decisions. The opacity of advanced models, such as Deep Learning ("black boxes"), creates a dire…
أنا مساعد المستودع. اسألني عن الرسائل والأطاريح حسب الموضوع أو الجامعة أو الدولة أو السنة أو الدرجة، أو اطلب أعداداً وإحصاءات.
يجيب من قاعدة بيانات المستودع فقط، ولا يخترع سجلات أو أرقاماً. لا يُحفظ ما تكتبه على الخادم.
قد يخطئ المساعد أحياناً، فراجع المصادر المرفقة.
