Browsing by Subject "Deep Learning"
Now showing items 1-8 of 8
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Applications in Image Aesthetics Using Deep Learning: Attribute Prediction, Image Captioning and Score Regression
(Trinity College Dublin. School of Computer Science & Statistics. Discipline of Computer Science, 2021)Image Aesthetics refers to the branch of computer vision which is about the study of aesthetic properties of photographs i.e. the factors which make an image look pleasing or dull. Such factors extend beyond the physical ... -
Deep Learning for Neuroimaging: Advancing Brain-Based Biomarkers of Autism Spectrum Disorder
(Trinity College Dublin. School of Medicine. Discipline of Psychiatry, 2023)In the last decade, deep learning (DL) has revolutionised fields like speech and vision through artificial neural networks. Can DL similarly transform biological psychiatry and neuroimaging? This thesis explores that ... -
Denoising approaches for data preparation in machine learning
(Trinity College Dublin. School of Computer Science & Statistics. Discipline of Computer Science, 2022)Machine-learning models have been recently developed in various computer vision applications, such as image detention, segmentation and so on. Models are often trained based on data that present various levels of accuracy, ... -
Extracting new urban patterns in cities: Analysis, models and applications
(Trinity College Dublin. School of Computer Science & Statistics. Discipline of Computer Science, 2018)Smart city initiatives rely on real-time measurements and data collected by a large num- ber of heterogenous physical sensors deployed throughout a city. The data gathered by physical sensors can capably identify important ... -
Few-Shot Learning and Learnable Frontends for Remote Monitoring of Bird Populations
(Trinity College Dublin. School of Engineering. Discipline of Electronic & Elect. Engineering, 2024)In response to changing ecological and environmental factors, automated monitoring of bird populations has become imperative for conservation efforts and as an indicator of change in its own right. This is particularly ... -
FPGA-based Deep-Learning Accelerators for Energy Efficient Motor Imagery EEG classification
(2022)In recent years, Deep Learning has emerged as a powerful framework for analysing and decoding bio-signals like Electroencephalography (EEG) with applications in brain computer interfaces (BCI) and motor control. Deep ... -
Massive MIMO technology for next generation of wireless networks
(Trinity College Dublin. School of Engineering. Discipline of Electronic & Elect. Engineering, 2020)Large scale antenna or massive multiple input multiple output (MIMO) systems are one of the key enabling technologies for fifth generation (5G) of wireless communications networks and beyond. This technology offers huge ... -
Recognising Actions for Instructional Training using Pose Information: A Comparative Evaluation.
(2019)Humans perform many complex tasks involving the manipulation of multiple objects. Recognition of the constituent actions of these tasks can be used to drive instructional training systems. The identities and poses of the ...