Browsing Electronic & Electrical Eng by Subject "Machine Learning"
Now showing items 1-7 of 7
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Deep Learning-based embedded Intrusion Detection Systems for CAN bus in Automotive Networks
(IEEE, 2022)Rising complexity of in-vehicle electronics is enabling new capabilities like autonomous driving and active safety. However, rising automation also increases risk of security threats which is compounded by lack of in-built ... -
Exploring Highly Quantised Neural Networks for Intrusion Detection in Automotive CAN
(2023)Vehicles today comprise intelligent systems like connected autonomous driving and advanced driving assistance systems (ADAS) to enhance the driving experience, which is enabled through increased connectivity to ... -
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 ... -
A Lightweight FPGA-based IDS-ECU Architecture for Automotive CAN
(IEEE, 2022)Recent years have seen an exponential rise in complex software-driven functionality in vehicles, leading to a rising number of electronic control units (ECUs), network capabilities, and interfaces. These expanded ... -
A Lightweight Multi-Attack CAN Intrusion Detection System on Hybrid FPGAs
(2022)Rising connectivity in vehicles is enabling new capabilities like connected autonomous driving and advanced driver assistance systems (ADAS) for improving the safety and reliability of next-generation vehicles. This ... -
Neural Turn-Taking Models for Spoken Dialogue Systems
(Trinity College Dublin. School of Engineering. Discipline of Electronic & Elect. Engineering, 2021)In order to simulate naturalistic turn-taking behaviours, such as fast-turn switches, intentional overlap, backchanneling, and barge-in, spoken dialogue systems (SDSs) will need to have computational models of turn-taking ...