output
20172024
most citedPredictive Control of Autonomous Kites in Tow Test Experiments

23 citations

11 papers

eess.SP2024★ 4 cited

Improving Rehabilitative Assessment with Statistical and Shape Preserving Surrogate Data and Singular Spectrum Analysis

T. K. M. Lee, H. W. Chan, K. H. Leo +3

Time series data are collected in temporal order and are widely used to train systems for prediction, modeling and classification to name a few. These systems require large amounts…

eess.SP2024★ 1 cited

Fidelitous Augmentation of Human Accelerometric Data for Deep Learning

Tracey K. M. Lee, H. W. Chan, K. H. Leo +3

Time series (TS) data have consistently been in short supply, yet their demand remains high for training systems in prediction, modeling, classification, and various other applicat…

cs.SD2021★ 8 cited

A Cough-based deep learning framework for detecting COVID-19

Truong Hoang, Lam Pham, Dat Ngo +1

This paper presents a deep learning framework for detecting COVID-19 positive subjects from their cough sounds. In particular, the proposed approach comprises two main steps. In th…

cs.CV2021★ 3 cited

Drone-based AI and 3D Reconstruction for Digital Twin Augmentation

Alex To, Maican Liu, Muhammad Hazeeq Bin Muhammad Hairul +4

Digital Twin is an emerging technology at the forefront of Industry 4.0, with the ultimate goal of combining the physical space and the virtual space. To date, the Digital Twin con…

cs.AI2021★ 1 cited

Social Behaviour Understanding using Deep Neural Networks: Development of Social Intelligence Systems

Ethan Lim Ding Feng, Zhi-Wei Neo, Aaron William De Silva +6

With the rapid development in artificial intelligence, social computing has evolved beyond social informatics toward the birth of social intelligence systems. This paper, therefore…

cs.AI2021

Federated Artificial Intelligence for Unified Credit Assessment

Minh-Duc Hoang, Linh Le, Anh-Tuan Nguyen +2

With the rapid adoption of Internet technologies, digital footprints have become ubiquitous and versatile to revolutionise the financial industry in digital transformation. This pa…

cs.CV2018

Watch to Edit: Video Retargeting using Gaze

Kranthi Kumar, Moneish Kumar, Vineet Gandhi +1

We present a novel approach to optimally retarget videos for varied displays with differing aspect ratios by preserving salient scene content discovered via eye tracking. Our algor…

cs.HC2017

AVEID: Automatic Video System for Measuring Engagement In Dementia

Viral Parekh, Pin Sym Foong, Shendong Zhao +1

Engagement in dementia is typically measured using behavior observational scales (BOS) that are tedious and involve intensive manual labor to annotate, and are therefore not easily…

cs.HC2017★ 19 cited

Evaluating Content-centric vs User-centric Ad Affect Recognition

Abhinav Shukla, Shruti Shriya Gullapuram, Harish Katti +3

Despite the fact that advertisements (ads) often include strongly emotional content, very little work has been devoted to affect recognition (AR) from ads. This work explicitly com…

cs.HC2017★ 22 cited

Affect Recognition in Ads with Application to Computational Advertising

Abhinav Shukla, Shruti Shriya Gullapuram, Harish Katti +3

Advertisements (ads) often include strongly emotional content to leave a lasting impression on the viewer. This work (i) compiles an affective ad dataset capable of evoking coheren…

math.OC2017★ 23 cited

Predictive Control of Autonomous Kites in Tow Test Experiments

Tony A. Wood, Henrik Hesse, Roy S. Smith

In this paper we present a model-based control approach for autonomous flight of kites for wind power generation. Predictive models are considered to compensate for delay in the ki…