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…
INDONESSIA Perkembangan teknologi kecerdasan buatan (AI) seperti ChatGPT telah mempengaruhi kebiasaan mahasiswa dalam mencari informasi akademik, sehingga semakin sering menggunakan ChatGPT dalam pemenuhan kebutuhan informasi dan akademik mereka. Penggunaan Ch…
The growing complexity of Deep Learning models, particularly Convolutional Neural Networks (CNNs), presents a fundamental challenge in critical applications: the opacity of their decisionmaking processes. This thesis addresses this interpretability gap by prop…
This thesis explores the challenges presented by label noise in machine learning (ML) for health. Label noise is unavoidable in real-world data; it can arise from variability in measurement, human annotation errors, and aleatoric uncertainty in the ground trut…
Large Language Models (LLMs) have demonstrated impressive capabilities across a wide range of tasks in natural language processing (NLP) and software engineering (SE). However, their increasing adoption has raised critical concerns about trustworthiness, inclu…
This PhD thesis presents a comprehensive investigation into the attitudes, behaviours, and security intentions of general population New Zealanders toward a variety of cybersecurity risks. It culminates in the development of a novel empirically derived model f…
In recent years, Federated Learning (FL) has emerged as a powerful solution for privacy-preserving machine learning, enabling multiple parties - so-called clients - to collaboratively train models without directly sharing their data. This paradigm is particula…
In this information age, machine learning (ML) applications drive smart living through innovations such as personalized healthcare, intelligent transportation, and smart homes. However, despite these advancements, businesses and industries continue to face sig…
The proliferation of data-driven intelligence has reshaped the foundations of artificial intelligence and machine learning, enabling unprecedented collaboration across distributed entities. Yet, as organizations increasingly rely on shared computation and colle…
Federated Learning (FL) enables multiple parties to collaboratively train a shared model without exposing raw data. However, FL often suffers from degraded performance due to three core challenges: non-IID data distributions, residual privacy risks, and limite…
The rapid advancement of technology and the accelerating dissemination of information have contributed to a significant increase in the prevalence of fake news, defined as mislead- ing or deliberately deceptive news articles. This proliferation poses a signifi…
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.
