Zobrazeno 1 - 10
of 1 281
pro vyhledávání: '"Vision Transformers"'
Autor:
Akella Subrahmanya Narasimha Raju, K. Venkatesh, B. Padmaja, CH. N. Santhosh Kumar, Pattabhi Rama Mohan Patnala, Ayodele Lasisi, Saiful Islam, Abdul Razak, Wahaj Ahmad Khan
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-35 (2024)
Abstract Early detection of colorectal carcinoma (CRC), one of the most prevalent forms of cancer worldwide, significantly enhances the prognosis of patients. This research presents a new method for improving CRC detection using a deep learning ensem
Externí odkaz:
https://doaj.org/article/755363a4b8e34a1f9bcf439d7fd99189
Autor:
Lyes Saad Saoud, Hasan AlMarzouqi
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-13 (2024)
Abstract Early detection and accurate diagnosis of brain morphological abnormalities are essential for the effective management and treatment of Alzheimer’s disease (AD) and mild cognitive impairment (MCI). Structural magnetic resonance imaging (MR
Externí odkaz:
https://doaj.org/article/961ca01246b644a09fddb1b400e0f45d
Publikováno v:
BMC Nephrology, Vol 25, Iss 1, Pp 1-8 (2024)
Abstract Recent advancements in computer vision within the field of artificial intelligence (AI) have made significant inroads into the medical domain. However, the application of AI for classifying renal pathology remains challenging due to the subt
Externí odkaz:
https://doaj.org/article/d58aeb2ba89e46b3ad70c9b8529ab389
Autor:
Francis Ogoke, Peter Pak, Alexander Myers, Guadalupe Quirarte, Jack Beuth, Jonathan Malen, Amir Barati Farimani
Publikováno v:
Additive Manufacturing Letters, Vol 11, Iss , Pp 100243- (2024)
Anomalous melt pools during metal additive manufacturing (AM) can lead to deteriorated mechanical and fatigue performance. In-situ monitoring of the melt pool subsurface morphology requires specialized equipment that may not be readily accessible or
Externí odkaz:
https://doaj.org/article/8ea513ade1ab43c6bc8a4c267904085f
Autor:
Serdar Yıldız
Publikováno v:
Engineering Science and Technology, an International Journal, Vol 60, Iss , Pp 101881- (2024)
In the advancing field of computer vision, scene text recognition (STR) has been progressively gaining prominence. Despite this progress, the lack of a comprehensive study or a suitable dataset for STR, particularly for languages like Turkish, stands
Externí odkaz:
https://doaj.org/article/4361a70cf08d45e38638beeead270071
Publikováno v:
Frontiers in Signal Processing, Vol 4 (2024)
Externí odkaz:
https://doaj.org/article/4209acbb23f94a0f92f88aa96b9b7647
Publikováno v:
Data Technologies and Applications, 2024, Vol. 58, Issue 3, pp. 517-544.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/DTA-01-2023-0005
Publikováno v:
AI, Vol 5, Iss 3, Pp 1132-1171 (2024)
Convolutional Neural Networks (CNNs) and Vision Transformers (ViTs) have shown remarkable performance in computer vision tasks, including object detection and image recognition. These models have evolved significantly in architecture, efficiency, and
Externí odkaz:
https://doaj.org/article/a24facf2cdfe4cbfa2052a3c274c6e8d
Publikováno v:
AI, Vol 5, Iss 3, Pp 1286-1300 (2024)
Proper nitrogen management in crops is crucial to ensure optimal growth and yield maximization. While hyperspectral imagery is often used for nitrogen status estimation in crops, it is not feasible for real-time applications due to the complexity and
Externí odkaz:
https://doaj.org/article/8aa7a4fe0a3a4114b812c5af1d97cabb
Publikováno v:
Revista Română de Informatică și Automatică, Vol 34, Iss 2, Pp 97-111 (2024)
The rising prevalence of eye disorders has raised concerns, emphasizing the need to accelerate the detection of retinal diseases. Early and accurate classification of these conditions is crucial for timely diagnosis and effective treatment in order t
Externí odkaz:
https://doaj.org/article/64de2131cecc4c85b87102c9f17bc08f