Browsing by Advisor
Now showing items 1-9 of 9
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Efficient channel allocation schemes for multi-band relay networks
(2022)As next generation wireless and mobile networks continue to evolve, the scarcity of frequency spectrum and bandwidth are on the rise. While ultra-dense small-scale networks aim to satisfy the demand for ultra-high data ... -
Light-weight federated learning with augmented knowledge distillation for human activity recognition
(2023)The field of deep learning has experienced significant growth in recent years in various domains where data can be collected and processed. However, as data plays a central role in the deep learning revolution, there are ... -
Moreau envelopes-based personalized asynchronous federated learning: improving practicality in distributed machine learning
(2023)Federated learning is a promising approach for training models on distributed data, driven by increasing demand in various industries. However, it faces several challenges, including communication bottlenecks and client ... -
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 ... -
New paradigms of distributed AI for improving 5G-based network systems performance
(2023)With the advent of 5G technology, there is an increasing need for efficient and effective machine learning techniques to support a wide range of applications, from smart cities to autonomous vehicles. The research question ... -
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 ... -
Towards accessible healthcare: machine learning-enabled diagnosis of Alzheimer’s disease
(2024)Alzheimer’s disease poses a critical challenge to public health with an increasing prevalence among the aging population worldwide. The research question is whether machine learning-based solutions could be a reliable, ... -
Towards designing AI-aided lightweight solutions for key challenges in sensing, communication and computing layers of IoT: smart health use-cases
(2021)The advent of the 5G and Beyond 5G (B5G) communication system, along with the proliferation of the Internet of Things (IoT) and Artificial Intelligence (AI), have started to evolve the vision of the smart world into a ... -
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 ...
