Search
Now showing items 51-60 of 66
Vapnik-Chervonenkis dimension in neural networks
(2023)
This thesis aims to explore the potential of statistical concepts, specifically the
Vapnik-Chervonenkis Dimension (VCD)[33], in optimizing neural networks. With the
increasing use of neural networks in replacing human ...
User-centric clustering and pilot assignment in cell-free networks : a stochastic optimization approach
(2023)
Current 5G networks, primarily built on the cellular massive MIMO physical
layer technology, achieved significant improvement in spectral efficiency as compared to previous generations. Nevertheless, there is always an ...
A data warehouse-oriented methodology for qualitative semi-structured web information and social networking sites' user status search
(2019)
Finding most desired and useful information from the diverse information and content embedded
on webpages has become more challenging due to the rapid growth of websites and webpages,
dynamic changes and updates of ...
Adding time-series data to enhance performance of naural language processing tasks
(2023)
In the past few decades, with the explosion of information, a large number of
computer scientists have devoted themselves to analyzing collected data and applying
these findings to many disciplines. Natural language ...
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 ...