Zobrazeno 1 - 10
of 91
pro vyhledávání: '"ResNet-152"'
Publikováno v:
Informatyka, Automatyka, Pomiary w Gospodarce i Ochronie Środowiska, Vol 14, Iss 2 (2024)
Timely detection of fires in the natural environment (including fires on agricultural land) is an urgent task, as their uncontrolled development can cause significant damage. Today, the main approaches to fire detection are human visual analysis of r
Externí odkaz:
https://doaj.org/article/9028e6fa5c034b5fa7605900ac695a3d
Publikováno v:
Journal of Universal Computer Science, Vol 29, Iss 9, Pp 1069-1089 (2023)
The natural ecosystem incorporates thousands of plant species and distinguishing them is normally manual, complicated, and time-consuming. Since the task requires a large amount of expertise, identifying forest plant species relies on the work of a t
Externí odkaz:
https://doaj.org/article/03c62399d274464f8e467b5c0f0af0ef
Publikováno v:
Mathematics, Vol 12, Iss 6, p 823 (2024)
In a world essentializing communication for human connection, the deaf community encounters distinct barriers. Sign language, their main communication method is rich in hand gestures but not widely understood outside their community, necessitating in
Externí odkaz:
https://doaj.org/article/68307a87adef4e2db4f274b17bc5cff5
Autor:
Syifa Auliyah Hasanah, Anindya Apriliyanti Pravitasari, Atje Setiawan Abdullah, Intan Nurma Yulita, Mohammad Hamid Asnawi
Publikováno v:
Applied Sciences, Vol 13, Iss 24, p 13111 (2023)
The lungs are two of the most crucial organs in the human body because they are connected to the respiratory and circulatory systems. Lung cancer, COVID-19, pneumonia, and other severe diseases are just a few of the many threats. The patient is subje
Externí odkaz:
https://doaj.org/article/c402fd388d5347daa54a013dd15bbc4c
Akademický článek
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Akademický článek
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Autor:
Antonio Lo Casto, Giacomo Spartivento, Viviana Benfante, Riccardo Di Raimondo, Muhammad Ali, Domenico Di Raimondo, Antonino Tuttolomondo, Alessandro Stefano, Anthony Yezzi, Albert Comelli
Publikováno v:
Life, Vol 13, Iss 7, p 1441 (2023)
The purpose of this investigation was to evaluate the diagnostic performance of two convolutional neural networks (CNNs), namely ResNet-152 and VGG-19, in analyzing, on panoramic images, the rapport that exists between the lower third molar (MM3) and
Externí odkaz:
https://doaj.org/article/e16ad2ad9c5a40cc9f66f7a7f86ba046
Autor:
Wenle Xu, Rayan S Cloutier
Publikováno v:
EAI Endorsed Transactions on Internet of Things, Vol 7, Iss 28 (2022)
In this age of artificial intelligence, facial expression recognition is an essential pool to describe emotion and psychology. In recent studies, many researchers have not achieved satisfactory results. This paper proposed an expression recognition s
Externí odkaz:
https://doaj.org/article/23c5910d6859496dbfebc137858cc1b9
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 13, Pp 3251-3262 (2020)
The availability of high-resolution satellite imagery has enabled several new applications such as identification of brick kilns for the elimination of modern-day slavery. This requires automated analysis of approximately 1551997 km2 area within the
Externí odkaz:
https://doaj.org/article/34874dcda7304e9cbec71ecffb848c37