Serious interoperability challenges prevent the stakeholders of infrastructure projects and
citizens as the final users, from interacting with each other and helping maintain a project …

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 …

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 …

Increasing numbers of patients with disabilities or elderly people with mobility issues often
suffer from a pressure ulcer. The affected areas need regular checks, but they have a …

In this paper, we consider the problem of identity document recognition in images captured
with a mobile device camera. A high level of projective distortion leads to poor quality of the …

Optical character recognition (OCR) in images captured from arbitrary angles requires
preliminary normalization, ie a geometric transformation resulting in an image as if it was …

Presentation of folded documents is not an uncommon case in modern society. Digitizing
such documents by capturing them with a smartphone camera can be tricky since a crease …

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 …

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 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 …