Search
Now showing items 41-50 of 52
Fairness, engagement, and discourse analysis in AI-driven social media and healthcare
(2023)
This thesis addresses the critical concerns of fairness, accountability, transparency, and
ethics (FATE) within the context of artificial intelligence (AI) systems applied to social media and healthcare domains. First, a ...
Towards a trustworthy data-driven clinical decision support system: breast cancer use-case
(2023)
Artificial Intelligence (AI) research has emerged as a powerful tool for health-related applications. With the increasing shortage of radiologists and oncologists around the world,
developing an end-to-end AI-based Clinical ...
Texture recognition from robotic tactile surface reconstruction: a reinforcement learning approach
(2023)
The ability to handle objects and recognize them and their properties by touch is a crucial
ability that humans have. Thanks to tactile sensing, robots can do something similar by
perceiving specific physical characteristics ...
Efficient path planning and battery management for electric vehicles
(2023)
The rapid advancement in battery technology has brought electric vehicles (EVs) into
reality, and the increasing adoption of autonomous electric vehicles (AEVs) has presented
significant challenges. Existing research in ...
Intelligent vehicle-to-vehicle communications with importance of fairness and information freshness
(2023)
Intelligent Transportation Systems (ITS) showcase cutting-edge services designed to
revolutionize transportation and mobility, especially within future smart cities. These services play a pivotal role in bolstering traffic ...
Neural synergy in compact biomedical IoT devices: spintronic pathways for MEG-EEG integration and portability
(2023)
The human brain, a marvel of nature, consists of intricate neural networks that have
fascinated and perplexed the scientific community for generations. As scientists and researchers globally endeavour to unravel the ...
Harnessing generative AI for overcoming labeled data challenges in social media NLP
(2023)
With the introduction of Transformers and Large Language Models, the field of NLP has significantly evolved. Generative AI, a prominent transformer-based technology for crafting human-like
content, has proven powerful ...
A comparison and analysis of explainable clinical decision making using white box and black box models
(2024)
Explainability is a crucial element of machine learning-based making in high stake
scenarios such as risk assessment in criminal justice [80], climate modeling [79], disaster
response [82], education [81] and critical ...
Supporting the executability of R markdown files
(2024)
R Markdown files are examples of literate programming documents that combine R code
with results and explanations. Such dynamic documents are designed to execute easily and
reproduce study results. However, little is ...