Zobrazeno 1 - 10
of 90 716
pro vyhledávání: '"Cnn"'
Publikováno v:
EURASIP Journal on Advances in Signal Processing, Vol 2024, Iss 1, Pp 1-18 (2024)
Abstract Electrocardiography (ECG) and photoplethysmography (PPG) are non-invasive methods used to quantify signals originating from the cardiovascular system. Although there is a strong correlation between the cycles of the two measures, the correla
Externí odkaz:
https://doaj.org/article/f9c3afdf65f545f1b076af128f1ebb4d
Publikováno v:
International Journal of Intelligent Computing and Cybernetics, 2024, Vol. 17, Issue 4, pp. 783-804.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/IJICC-04-2024-0189
Autor:
D., Sreelakshmi, Inthiyaz, Syed
Publikováno v:
International Journal of Pervasive Computing and Communications, 2021, Vol. 20, Issue 4, pp. 369-382.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/IJPCC-06-2021-0137
Publikováno v:
Reports on Geodesy and Geoinformatics, Vol 118, Iss 1, Pp 82-91 (2024)
Mineral classification using hyperspectral imaging represents an essential field of research improving the understanding of geological compositions. This study presents an advancedmethodology that uses an optimized 3D-2D CNNmodel for automatic minera
Externí odkaz:
https://doaj.org/article/60e408cc17444fccbdaf6c055e3269ee
Publikováno v:
Artificial Intelligence in Agriculture, Vol 14, Iss , Pp 1-20 (2024)
This article reviews the state of the art of recent CNN models used for external quality inspection of fruits, considering parameters such as color, shape, size, and defects, used to categorize fruits according to international marketing levels of ag
Externí odkaz:
https://doaj.org/article/092801a9edae4439b09904069c7550b8
Publikováno v:
Biomedical Technology, Vol 8, Iss , Pp 1-16 (2024)
Until now various deep convolutional neural networks are designed and trained for the purpose of classifying different medical conditions related to the domain of gastroenterology. Most of the study carried out have considered publicly available data
Externí odkaz:
https://doaj.org/article/6c0642c4d5b94e748ab1e40ff32d8824
Publikováno v:
SICE Journal of Control, Measurement, and System Integration, Vol 17, Iss 1, Pp 19-30 (2024)
For autonomous navigation, a mobile robot is required to move toward a destination while avoiding obstacles. In this paper, we present a motion planner based on CNN. In terms of obstacle avoidance, since a position of a dynamic obstacle changes with
Externí odkaz:
https://doaj.org/article/768f5fd4658240dcabcbf8694d58cd13
Publikováno v:
International Journal of Electronics and Telecommunications, Vol vol. 70, Iss No 4, Pp 823-829 (2024)
Glacial landforms, created by the continuous movements of glaciers over millennia, are crucial topics in geomorphological research. Their systematic analysis affords invaluable insights into past climatic oscillations and augments understanding of lo
Externí odkaz:
https://doaj.org/article/2db0a4c6072149a79df2902d5a5093c6
Publikováno v:
Zhejiang dianli, Vol 43, Iss 11, Pp 90-96 (2024)
The new cyber-physical power system is crucial for achieving dual carbon goals. However， novel false data injection attacks targeting state estimation can bypass existing security detection mechanisms， significantly challenging the secure operati
Externí odkaz:
https://doaj.org/article/bb2031d15d2a4c52bac8ee39be4c94c5
Autor:
Gunjan Shandilya, Sheifali Gupta, Ahmad Almogren, Salil Bharany, Ayman Altameem, Ateeq Ur Rehman, Seada Hussen
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-18 (2024)
Abstract Cervical cancer is one of the biggest challenges in global health, thus it forms a critical need for early detection technologies that could improve patient prognosis and inform treatment decisions. This development in the form of an early d
Externí odkaz:
https://doaj.org/article/c18e4551514c43418a36d1d8151e6c27