[HTML][HTML] Citizen-centric digital twin development with machine learning and interfaces for maintaining urban infrastructure

FN Abdeen, S Shirowzhan, SME Sepasgozar - Telematics and Informatics, 2023 - Elsevier
Serious interoperability challenges prevent the stakeholders of infrastructure projects and
citizens as the final users, from interacting with each other and hel** maintain a project …

Comprehensive analysis of digital twins in smart cities: a 4200-paper bibliometric study

RF El-Agamy, HA Sayed, AM AL Akhatatneh… - Artificial Intelligence …, 2024 - Springer
This survey paper comprehensively reviews Digital Twin (DT) technology, a virtual
representation of a physical object or system, pivotal in Smart Cities for enhanced urban …

Image Segmentation on Gabor Filtered images using Projective Transformation

SK Gupta, A Alemran, P Singh, A Khang… - … on Recent Trends in …, 2023 - ieeexplore.ieee.org
In recent years, image segmentation has been applied on various images for obtaining
various results. They are being deployed in numerous applications. There are lot of …

A pressure ulcer care system for remote medical assistance: residual U-Net with an attention model based for wound area segmentation

J Chae, KY Hong, J Kim - ar** in instrument making industry
GA Ovseenko, RS Kashaev, IA Koshkina… - … youth conference on …, 2023 - ieeexplore.ieee.org
The article explores the direction of using artificial neural networks to solve problems of
classification of defects in the details of the instrument-making industry on the example of …

SegVisRL: development of a robot's neural visuomotor and planning system for lunar exploration

T Blum, G Paillet, W Masawat, K Yoshida - Advanced Robotics, 2021 - Taylor & Francis
In this paper, we present an approach for the learning of a visuomotor system for a robotic
rover using reinforcement learning (RL) within a simulation that combines both …

Fully Convolutional Fractional Scaling

M Soloveitchik, M Werman - 2022 16th International …, 2022 - ieeexplore.ieee.org
Fully convolutional networks can be applied to any size input but till now do not support non-
integer scaling. We introduce a fully convolutional fractional scaling component, FCFS. Our …