Outputs (447)

Hysteresis Modelling and Feedforward Control of Piezoelectric Actuator Based on Simplified Interval Type-2 Fuzzy System (2020)
Journal Article

The piezoelectric actuator is indispensable for driving the micro-manipulator. In this paper, a simplified interval type-2 (IT2) fuzzy system is proposed for hysteresis modelling and feedforward control of a piezoelectric actuator. The partial deriva... Read More about Hysteresis Modelling and Feedforward Control of Piezoelectric Actuator Based on Simplified Interval Type-2 Fuzzy System.

Occlusion-Based Coordination Protocol Design for Autonomous Robotic Shepherding Tasks (2020)
Journal Article

Robust Formation Coordination of Robot Swarms With Nonlinear Dynamics and Unknown Disturbances: Design and Experiments (2021)
Journal Article

Coordination of robot swarms has received significant research interest over the last decade due to its wide real-world applications including precision agriculture, target surveillance, planetary exploration, etc. Many of these practical activities... Read More about Robust Formation Coordination of Robot Swarms With Nonlinear Dynamics and Unknown Disturbances: Design and Experiments.

Self-Organised Collision-Free Flocking Mechanism in Heterogeneous Robot Swarms (2021)
Journal Article

Flocking is a social animals’ common behaviour observed in nature. It has a great potential for real-world applications such as exploration in agri-robotics using low-cost robotic solutions. In this paper, an extended model of a self-organised flocki... Read More about Self-Organised Collision-Free Flocking Mechanism in Heterogeneous Robot Swarms.

Fault-tolerant cooperative navigation of networked UAV swarms for forest fire monitoring (2022)
Journal Article

Coordination of unmanned aerial vehicle (UAV) swarms has received significant attention due to its wide practical applications including search and rescue, cooperative exploration and target surveillance. Motivated by the flexibility of the UAVs and... Read More about Fault-tolerant cooperative navigation of networked UAV swarms for forest fire monitoring.

ALADDIn: Autoencoder-LSTM based Anomaly Detector of Deformation in InSAR (2022)
Journal Article

In this study, we address the challenging problem of automatic detection of transient deformation of the Earth’s crust in time series of differential satellite radar [interferometric synthetic aperture radar (InSAR)] images. The detection of these ev... Read More about ALADDIn: Autoencoder-LSTM based Anomaly Detector of Deformation in InSAR.

Effect of wearing different types of face masks during dynamic and isometric resistance training on intraocular pressure (2022)
Journal Article

Clinical relevance: The use of face masks has demonstrated to be an effective strategy to prevent transmission of severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2). Wearing face masks, mainly Filtering Face Piece 2 (FFP2) masks, during exe... Read More about Effect of wearing different types of face masks during dynamic and isometric resistance training on intraocular pressure.

RobIn: A Robust Interpretable Deep Network for Schizophrenia Diagnosis (2022)
Journal Article

Schizophrenia is a severe mental health condition that requires a long and complicated diagnostic process. However, early diagnosis is vital to control symptoms. Deep learning has recently become a popular way to analyse and interpret medical data. P... Read More about RobIn: A Robust Interpretable Deep Network for Schizophrenia Diagnosis.

The Statistics of Eye Movements and Binocular Disparities during VR Gaming: Implications for Headset Design (2022)
Journal Article

The human visual system evolved in environments with statistical regularities. Binocular vision is adapted to these such that depth perception and eye movements are more precise, faster, and performed comfortably in environments consistent with the r... Read More about The Statistics of Eye Movements and Binocular Disparities during VR Gaming: Implications for Headset Design.

Towards Intelligently Designed Evolvable Processors (2022)
Journal Article

Evolution-in-Materio is a computational paradigm in which an algorithm reconfigures a material’s properties to achieve a specific computational function. This paper addresses the question of how successful and well performing Evolution-in-Materio pro... Read More about Towards Intelligently Designed Evolvable Processors.

Dynamics of the accommodative response and facility with dual-focus soft contact lenses for myopia control (2021)
Journal Article

Objective To assess the impact of using dual-focus soft contact lenses for myopia control on the dynamics of the accommodative response and facility. Methods 24 young adult myopes were fitted with dual-focus soft contact lenses for myopia control (Mi... Read More about Dynamics of the accommodative response and facility with dual-focus soft contact lenses for myopia control.

Crowd Counting via Segmentation Guided Attention Networks and Curriculum Loss (2022)
Journal Article

Automatic crowd behaviour analysis is an important task for intelligent transportation systems to enable effective flow control and dynamic route planning for varying road participants. Crowd counting is one of the keys to automatic crowd behaviour a... Read More about Crowd Counting via Segmentation Guided Attention Networks and Curriculum Loss.

A Pose-based Feature Fusion and Classification Framework for the Early Prediction of Cerebral Palsy in Infants (2021)
Journal Article

The early diagnosis of cerebral palsy is an area which has recently seen significant multi-disciplinary research. Diagnostic tools such as the General Movements Assessment (GMA), have produced some very promising results. However, the prospect of aut... Read More about A Pose-based Feature Fusion and Classification Framework for the Early Prediction of Cerebral Palsy in Infants.

Advances of Soft Computing Methods in Edge Detection (2009)
Journal Article

Artificial Intelligence (AI) techniques are now commonly used to solve complex and ill-defined problems. AI a broad field and will bring different meanings for different people. John McCarthy would probably use AI as “computational intelligence”, whi... Read More about Advances of Soft Computing Methods in Edge Detection.

Kernelized distance learning for zero-shot recognition (2021)
Journal Article

Zero-Shot Learning (ZSL) has gained growing attention over the past few years mostly because it provides a significant scalability to recognition models for classifying instances from new unobserved classes. This scalability is achieved by providing... Read More about Kernelized distance learning for zero-shot recognition.

PyTorch-based Implementation of Label-aware Graph Representation for Multi-class Trajectory Prediction (2021)
Journal Article

Trajectory Prediction under diverse patterns has attracted increasing attention in multiple real-world applications ranging from urban traffic analysis to human motion understanding, among which graph convolution network (GCN) is frequently adopted w... Read More about PyTorch-based Implementation of Label-aware Graph Representation for Multi-class Trajectory Prediction.

Early Fault Diagnostic System for Rolling Bearing Faults in Wind Turbines (2021)
Journal Article

The operation and maintenance costs of wind farms are always high due to high labor costs and the high replacement cost of parts. Thus, it is of great importance to have real-time monitoring and an early fault diagnostic system to prevent major event... Read More about Early Fault Diagnostic System for Rolling Bearing Faults in Wind Turbines.

Ask me in your own words: paraphrasing for multitask question answering (2021)
Journal Article

Multitask learning has led to significant advances in Natural Language Processing, including the decaNLP benchmark where question answering is used to frame 10 natural language understanding tasks in a single model. In this work we show how models tr... Read More about Ask me in your own words: paraphrasing for multitask question answering.

Learning to Drive: End-to-End Off-Road Path Prediction (2019)
Journal Article

Autonomous driving is a field currently gaining a lot of attention, and recently ?end to end? approaches, whereby a machine learning algorithm learns to drive by emulating a human driver, have demonstrated significant potential. However, recent work... Read More about Learning to Drive: End-to-End Off-Road Path Prediction.

GAN-based Reactive Motion Synthesis with Class-aware Discriminators for Human-human Interaction (2021)
Journal Article

Creating realistic characters that can react to the users’ or another character’s movement can benefit computer graphics, games and virtual reality hugely. However, synthesizing such reactive motions in human-human interactions is a challenging task... Read More about GAN-based Reactive Motion Synthesis with Class-aware Discriminators for Human-human Interaction.