output
19952025
most citedTranSalNet: Towards perceptually relevant visual saliency prediction

127 citations

26 papers

cs.LG2025★ 45 cited

Power Transformer Health Index and Life Span Assessment: A Comprehensive Review of Conventional and Machine Learning based Approaches

Syeda Tahreem Zahra, Syed Kashif Imdad, Sohail Khan +2

Power transformers play a critical role within the electrical power system, making their health assessment and the prediction of their remaining lifespan paramount for the purpose…

cs.SD2024★ 1 cited

Attention-Based Efficient Breath Sound Removal in Studio Audio Recordings

Nidula Elgiriyewithana, N. D. Kodikara

In this research, we present an innovative, parameter-efficient model that utilizes the attention U-Net architecture for the automatic detection and eradication of non-speech vocal…

cond-mat.soft2024★ 6 cited

Capillary-Assisted Printing of Droplets at a Solid-Like Liquid-Liquid Interface

Anshu Thapa, Robert Malinowski, Matthew O. Blunt +2

Capillary forces guide the motion of biomolecular condensates, water-borne insects, and breakfast cereal. These surface-mediated interactions can be harnessed to build units into m…

cond-mat.soft2024★ 3 cited

Rapid Conformational Analysis of Semi-Flexible Liquid Crystals

Jordan L. Hobbs, Calum J. Gibb, Ewan Cruickshank +2

We present an approach for rapid conformational analysis of semi-flexible liquid crystals. We use a simple graphical user interface (GUI) tool that leverages rules-based methods fo…

cs.AI2023★ 2 cited

Towards Feasible Counterfactual Explanations: A Taxonomy Guided Template-based NLG Method

Pedram Salimi, Nirmalie Wiratunga, David Corsar +1

Counterfactual Explanations (cf-XAI) describe the smallest changes in feature values necessary to change an outcome from one class to another. However, many cf-XAI methods neglect…

cs.HC2023★ 2 cited

Modular 3D Interface Design for Accessible VR Applications

Corrie Green, Dr Yang Jiang, Dr John Isaacs

Designed with an accessible first design approach, the presented paper describes how exploiting humans proprioception ability in 3D space can result in a more natural interaction e…