Zobrazeno 1 - 10
of 228
pro vyhledávání: '"Sensor data processing"'
Publikováno v:
BMC Medical Informatics and Decision Making, Vol 24, Iss 1, Pp 1-21 (2024)
Abstract This research study demonstrates an efficient scheme for early detection of cardiorespiratory complications in pandemics by Utilizing Wearable Electrocardiogram (ECG) sensors for pattern generation and Convolution Neural Networks (CNN) for d
Externí odkaz:
https://doaj.org/article/df5e7d86b2ad456586bd4b12d21d4e90
Publikováno v:
Heliyon, Vol 10, Iss 20, Pp e39254- (2024)
The proposed Sensor Data Encryption with Compression (SEC) system is presented as an innovative solution for sensor data processing, aiming to achieve optimal efficiency while improving security and adaptability by integrating robust cryptography wit
Externí odkaz:
https://doaj.org/article/e36a39ecf108412fb0744cf2c24c45d6
Publikováno v:
Sensors, Vol 24, Iss 20, p 6632 (2024)
Digital image compression is applied to reduce camera bandwidth and storage requirements, but real-time lossless compression on a high-speed high-resolution camera is a challenging task. The article presents hardware implementation of a Bayer colour
Externí odkaz:
https://doaj.org/article/d0440c8f474e4e3b92f76009113400a9
Akademický článek
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Publikováno v:
Journal of Intelligent and Connected Vehicles, 2021, Vol. 5, Issue 1, pp. 17-35.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/JICV-07-2021-0008
Publikováno v:
Geopolitics, History, and International Relations. 14(2):152-167
Externí odkaz:
https://www.ceeol.com/search/article-detail?id=1095122
Autor:
Icaro Camelo, Ana-Maria Cretu
Publikováno v:
Engineering Proceedings, Vol 58, Iss 1, p 6 (2023)
The goal of this paper is to evaluate various compact CNN architectures for object recognition trained on a small resource-constrained platform, the NVIDIA Jetson Xavier. Rigorous experimentation identifies the best compact CNN models that balance ac
Externí odkaz:
https://doaj.org/article/42475e01a3864642bbe3f5a090a54829
Publikováno v:
Journal of Intelligent and Connected Vehicles, Vol 5, Iss 1, Pp 17-35 (2022)
Purpose – An individual’s driving style significantly affects overall traffic safety. However, driving style is difficult to identify due to temporal and spatial differences and scene heterogeneity of driving behavior data. As such, the study of
Externí odkaz:
https://doaj.org/article/73e3da26ded8418bbc2bf92014bae562
Publikováno v:
Measurement: Sensors, Vol 25, Iss , Pp 100645- (2023)
Efficiently executing image categorization with high spatial quality imagery from remote sensing can bring great benefits to scene classification. Effective feature representation is critical in the development of high-performance scene categorizatio
Externí odkaz:
https://doaj.org/article/e6b7efcaed164e4aa1f784a09fbe5f1a
Akademický článek
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