[HTML][HTML] The evolving roles and impacts of 5G enabled technologies in healthcare: The world epidemic COVID-19 issues
MM Rahman, F Khatun, SI Sami, A Uzzaman - Array, 2022 - Elsevier
The latest 5G technology is being introduced the Internet of Things (IoT) Era. The study aims
to focus the 5G technology and the current healthcare challenges as well as to highlight 5G …
to focus the 5G technology and the current healthcare challenges as well as to highlight 5G …
Thermal object detection in difficult weather conditions using YOLO
M Krišto, M Ivasic-Kos, M Pobar - IEEE access, 2020 - ieeexplore.ieee.org
Global terrorist threats and illegal migration have intensified concerns for the security of
citizens, and every effort is made to exploit all available technological advances to prevent …
citizens, and every effort is made to exploit all available technological advances to prevent …
An overview of thermal face recognition methods
M Krišto, M Ivasic-Kos - 2018 41St international convention on …, 2018 - ieeexplore.ieee.org
The popularity of surveillance systems grows as well as a need for better security systems
particularly in a bad lighting conditions or at night. The aim of a security system is to collect …
particularly in a bad lighting conditions or at night. The aim of a security system is to collect …
A comprehensive database for benchmarking imaging systems
Cross-modality face recognition is an emerging topic due to the wide-spread usage of
different sensors in day-to-day life applications. The development of face recognition …
different sensors in day-to-day life applications. The development of face recognition …
Human detection in thermal imaging using YOLO
M Ivašić-Kos, M Krišto, M Pobar - Proceedings of the 2019 5th …, 2019 - dl.acm.org
In this paper, we consider the problem of automatic detection of humans in thermal videos
and images. The thermal videos are recorded on a meadow with a small forest with up to …
and images. The thermal videos are recorded on a meadow with a small forest with up to …
Human emotion recognition based on facial expressions via deep learning on high-resolution images
Y Said, M Barr - Multimedia Tools and Applications, 2021 - Springer
Detecting human emotion based on facial expression is considered a hard task for the
computer vision community because of many challenges such as the difference of face …
computer vision community because of many challenges such as the difference of face …
Method of false attack detection based on image texture analysis
BN Samijonov, B Abdukadirov… - Artificial Intelligence …, 2024 - taylorfrancis.com
A biometric system is a personality recognition system that uses biometric data such as
fingerprints, face, eye color, iris to identify a person. A biometric person identification system …
fingerprints, face, eye color, iris to identify a person. A biometric person identification system …
Landslide mapping and characterization through infrared thermography (IRT): Suggestions for a methodological approach from some case studies
In this paper, the potential of Infrared Thermography (IRT) as a novel operational tool for
landslide surveying, mapping and characterization was tested and demonstrated in different …
landslide surveying, mapping and characterization was tested and demonstrated in different …
[HTML][HTML] Light weight convolutional neural network and low-dimensional images transformation approach for classification of thermal images
YS Taspinar - Case Studies in Thermal Engineering, 2023 - Elsevier
Thermal energy is emitted in the infrared range between X-ray and Gamma rays, which are
invisible to the human eye. Thermal cameras can detect the temperature that arises due to …
invisible to the human eye. Thermal cameras can detect the temperature that arises due to …
Inconspicuous adversarial patches for fooling image-recognition systems on mobile devices
Deep-learning-based image-recognition systems have been widely deployed on mobile
devices in today's world. In recent studies, however, deep learning models are shown …
devices in today's world. In recent studies, however, deep learning models are shown …