Property:OneLineSummary
From ISLAB/CAISR
Jump to navigationJump to searchR
Optimise Echo State Networks for time series forecasting and reconstruction. Propose methods, e.g. objective functions, to train Echo State Networks for deviation detection +
Characterise the observed system using representation learning techniques, for fault detection and remaining useful life prediction +
Finding ways to represent complex data types (e.g. histograms) present in Logged Vehicle Database databse for machine learning-based fault prediction +
The goal of this project is to assess the resilience of machine learning (ML) hardware accelerators, with a specific focus on Convolutional Neural Network (CNN) accelerators, when subjected to Trojan attacks aimed at degrading their accuracy. +
This proposal addresses the critical state-poisoning vulnerability in tactical networks during post-partition recovery. The research proposes the development of a recovery protocol centered on Byzantine Fault Tolerance (BFT) +
Resolving Class Imbalance using Generative Adversarial Networks +
Reversible GANs +
Risk as a Service +
Road user behavior recognition and manipulation using deep learning +
Capability for a robot to paint to express human feelings +
Common sense for a robot to cook healthy food +
A robot system which assesses a person's state of health as a first step toward autonomous robotic first aid/ems +
Robotics for Urban Traffic Support: Design, Prototyping, and Intelligent Interaction in Smart Cities +
This proposal focuses on the application of robotics to enhance traffic safety and efficiency in smart cities. The research considers the interaction with VRU +
S
Graph neural networks for anomaly detection +
Evaluation of DNN factors with respect to robustness in safety critical systems. +
Safety Assurance in Critical Automotive Control Systems: A Human-Centric and Standards-Compliant Approach +
This research proposes an in-depth study into the safety aspects of critical automotive control systems, such as those found in autonomous vehicles. It will investigate the interplay between communication dependency in specific scenarios. +
safety assurance for human in automated crane environment +
Explore the use of Level-Set and Fast-Marching Methods to create time-optimal motions of a point in a plane subject to direction-dependent velocity. +
Sandboxed scripting on embedded systems +
Extracting clinical information from free-text notes and providing standardized mapping of extracted concepts using the SNOMED CT medical ontology. +
