Zobrazeno 1 - 10
of 101
pro vyhledávání: '"Patrik Kamencay"'
Publikováno v:
Sensors, Vol 24, Iss 14, p 4556 (2024)
Intracranial aneurysm (IA) is now a common term closely associated with subarachnoid hemorrhage. IA is the bulging of a blood vessel caused by a weakening of its wall. This bulge can rupture and, in most cases, cause internal bleeding. In most cases,
Externí odkaz:
https://doaj.org/article/8dd9b942364d43618179a47fdbb061d7
Publikováno v:
IEEE Access, Vol 11, Pp 41315-41324 (2023)
Internet of Things (IoT) becomes indispensable for transport and automotive industry to advance functions in on-road traffic monitoring. Indeed, smart management tools and machine learning concepts are inevitable in vehicle categorization systems. Ho
Externí odkaz:
https://doaj.org/article/e9b0aa5d8cbb42828d779b94199a210e
Publikováno v:
Sensors, Vol 24, Iss 5, p 1694 (2024)
Various sensors utilize computational models to estimate measured variables, and the generated data require processing [...]
Externí odkaz:
https://doaj.org/article/1d32cb6a1af34992b48e60d00f6ee9c8
Publikováno v:
Applied Sciences, Vol 13, Iss 24, p 13313 (2023)
The paper introduces an approach for detecting brain aneurysms, a critical medical condition, by utilizing a combination of 3D convolutional neural networks (3DCNNs) and Convolutional Long Short-Term Memory (ConvLSTM). Brain aneurysms pose a signific
Externí odkaz:
https://doaj.org/article/864507668c024173b1864317552984e2
Publikováno v:
Sensors, Vol 23, Iss 5, p 2816 (2023)
Currently, three-dimensional convolutional neural networks (3DCNNs) are a popular approach in the field of human activity recognition. However, due to the variety of methods used for human activity recognition, we propose a new deep-learning model in
Externí odkaz:
https://doaj.org/article/1ed88abe8d6d43a5a7e000e3d70b195c
Publikováno v:
Advances in Electrical and Electronic Engineering, Vol 18, Iss 2, Pp 92-98 (2020)
This paper proposes the intelligent textile for human body temperature measurement. The main concept of the textile is based on two commercially available LM35DM temperature sensors, knitted electrically conductivity yarns and five areas for press-st
Externí odkaz:
https://doaj.org/article/45e75b982ac4456c9cbbf0c08cbb2497
Publikováno v:
Applied Sciences, Vol 12, Iss 23, p 12031 (2022)
This paper discusses the tool for the main text and image extraction (extracting and parsing the important data) from a web document. This paper describes our proposed algorithm based on the Document Object Model (DOM) and natural language processing
Externí odkaz:
https://doaj.org/article/84492a7d574145ba9c53247e2972e078
Publikováno v:
Sensors, Vol 22, Iss 20, p 7912 (2022)
This paper presents an improved IoT-based system designed to help teachers handle lessons in the classroom in line with COVID-19 restrictions. The system counts the number of people in the classroom as well as their distribution within the classroom.
Externí odkaz:
https://doaj.org/article/7f39ac6cb49c4f2c9bb6e5a14c38f737
Publikováno v:
Sensors, Vol 22, Iss 19, p 7315 (2022)
In this paper, we present an assessment framework that can be used to score segments of physical and digital infrastructure based on their features and readiness to expedite the deployment of Connected and Automated Vehicles (CAVs). We discuss the eq
Externí odkaz:
https://doaj.org/article/ed2a09d3cc934ecdb1c4e71ff9bbed8f
Publikováno v:
Sensors, Vol 22, Iss 8, p 2946 (2022)
Recognizing various abnormal human activities from video is very challenging. This problem is also greatly influenced by the lack of datasets containing various abnormal human activities. The available datasets contain various human activities, but o
Externí odkaz:
https://doaj.org/article/afdfe4c0d1d4413293317fad6ede11d9