130 citations · 146 across the 13 of their papers we have counts for
13 papers
CNN-based Classification Framework for Lung Tissues with Auxiliary Information
Huafeng Hu, Ruijie Ye, Jeyarajan Thiyagalingam +2
Interstitial lung diseases are a large group of heterogeneous diseases characterized by different degrees of alveolitis and pulmonary fibrosis. Accurately diagnosing these diseases…
Exploiting Deep Learning for Secure Transmission in an Underlay Cognitive Radio Network
Miao Zhang, Kanapathippillai Cumanan, Jeyarajan Thiyagalingam +4
This paper investigates a machine learning-based power allocation design for secure transmission in a cognitive radio (CR) network. In particular, a neural network (NN)-based appro…
Efficiency Near the Edge: Increasing the Energy Efficiency of FFTs on GPUs for Real-time Edge Computing
Karel Adámek, Jan Novotný, Jeyarajan Thiyagalingam +1
The Square Kilometre Array (SKA) is an international initiative for developing the world's largest radio telescope with a total collecting area of over a million square meters. The…
Spectral-Energy Efficiency Trade-off-based Beamforming Design for MISO Non-Orthogonal Multiple Access Systems
Haitham Al-Obiedollah, Kanapathippillai Cumanan, Jeyarajan Thiyagalingam +4
Energy efficiency (EE) and spectral efficiency (SE) are two of the key performance metrics in future wireless networks, covering both design and operational requirements. For previ…
Machine Learning and Big Scientific Data
Tony Hey, Keith Butler, Sam Jackson +1
This paper reviews some of the challenges posed by the huge growth of experimental data generated by the new generation of large-scale experiments at UK national facilities at the…
Energy Efficiency Optimization for Secure Transmission in MISO Cognitive Radio Network with Energy Harvesting
Miao Zhang, Kanapathippillai Cumanan, Jeyarajan Thiyagalingam +4
In this paper, we investigate different secrecy energy efficiency (SEE) optimization problems in a multiple-input single-output underlay cognitive radio (CR) network in the presenc…
A Single SMC Sampler on MPI that Outperforms a Single MCMC Sampler
Alessandro Varsi, Lykourgos Kekempanos, Jeyarajan Thiyagalingam +1
Markov Chain Monte Carlo (MCMC) is a well-established family of algorithms which are primarily used in Bayesian statistics to sample from a target distribution when direct sampling…
Energy Efficient Beamforming Design for MISO Non-Orthogonal Multiple Access Systems
Haitham Al-Obiedollah, Kanapathippillai Cumanan, Jeyarajan Thiyagalingam +3
When considering the future generation wireless networks, non-orthogonal multiple access (NOMA) represents a viable multiple access technique for improving the spectral efficiency.…
Sum Rate Fairness Trade-off-based Resource Allocation Technique for MISO NOMA Systems
Haitham Al-Obiedollah, Kanapathippillai Cumanan, Jeyarajan Thiyagalingam +3
In this paper, we propose a beamforming design that jointly considers two conflicting performance metrics, namely the sum rate and fairness, for a multiple-input single-output non-…
Energy Efficiency Fairness Beamforming Designs for MISO NOMA Systems
Haitham Al-Obiedollah, Kanapathippillai Cumanan, Jeyarajan Thiyagalingam +3
In this paper, we propose two beamforming designs for a multiple-input single-output non-orthogonal multiple access system considering the energy efficiency (EE) fairness between u…
Correlation Filter Selection for Visual Tracking Using Reinforcement Learning
Yanchun Xie, Jimin Xiao, Kaizhu Huang +2
Correlation filter has been proven to be an effective tool for a number of approaches in visual tracking, particularly for seeking a good balance between tracking accuracy and spee…
MapReduce Particle Filtering with Exact Resampling and Deterministic Runtime
Jeyarajan Thiyagalingam, Lykourgos Kekempanos, Simon Maskell
Particle filtering is a numerical Bayesian technique that has great potential for solving sequential estimation problems involving non-linear and non-Gaussian models. Since the est…
Real-time Pedestrian Surveillance with Top View Cumulative Grids
Kai Berger, Jeyarajan Thiyagalingam
This manuscript presents an efficient approach to map pedestrian surveillance footage to an aerial view for global assessment of features. The analysis of the footages relies on lo…