Zobrazeno 1 - 10
of 1 062
pro vyhledávání: '"squeeze and excitation"'
Publikováno v:
International Journal of Web Information Systems, 2024, Vol. 20, Issue 4, pp. 341-357.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/IJWIS-07-2023-0110
Publikováno v:
International Journal of Computational Intelligence Systems, Vol 17, Iss 1, Pp 1-14 (2024)
Abstract During urban fire incidents, real-time videos and images are vital for emergency responders and decision-makers, facilitating efficient decision-making and resource allocation in smart city fire monitoring systems. However, real-time videos
Externí odkaz:
https://doaj.org/article/517a4657d9bd45adb9f346153a22e7ac
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-18 (2024)
Abstract Printed Circuit Boards (PCBs) are key devices for the modern-day electronic technologies. During the production of these boards, defects may occur. Several methods have been proposed to detect PCB defects. However, detecting significantly sm
Externí odkaz:
https://doaj.org/article/0dfb8798816f4d8aa908b337694fcc99
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-12 (2024)
Abstract Skin microvasculature is vital for human cardiovascular health and thermoregulation, but its imaging and analysis presents significant challenges. Statistical methods such as speckle decorrelation in optical coherence tomography angiography
Externí odkaz:
https://doaj.org/article/eb5d0e04fed54bcfbfcf098f779d0877
Advanced interpretable diagnosis of Alzheimer's disease using SECNN-RF framework with explainable AI
Publikováno v:
Frontiers in Artificial Intelligence, Vol 7 (2024)
Early detection of Alzheimer's disease (AD) is vital for effective treatment, as interventions are most successful in the disease's early stages. Combining Magnetic Resonance Imaging (MRI) with artificial intelligence (AI) offers significant potentia
Externí odkaz:
https://doaj.org/article/1081d997907b432eb1e1bc83f9529f91
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-25 (2024)
Abstract Accurate penetration rate prediction enhances rock-breaking efficiency and reduces disc cutter damage in tunnel boring machine (TBM) construction. However, this process faces significant challenges such as the high uncertainty of ground cond
Externí odkaz:
https://doaj.org/article/938b451e7bff436dae0f8e228e36aee6
Autor:
Siri D, Gopikrishna Vellaturi, Shaik Hussain Shaik Ibrahim, Srikanth Molugu, Venkata Subbaiah Desanamukula, Raviteja Kocherla, Ramesh Vatambeti
Publikováno v:
Heliyon, Vol 10, Iss 15, Pp e35217- (2024)
Underwater cameras are crucial in marine ecology, but their data management needs automatic species identification. This study proposes a two-stage deep learning approach. First, the Unsharp Mask Filter (UMF) preprocesses images. Then, an enhanced re
Externí odkaz:
https://doaj.org/article/4991842b52bb47de95124a3d126cb3fa
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 13634-13645 (2024)
The deep neural network has achieved remarkable recognition performance in synthetic aperture radar (SAR) automatic target recognition (ATR) by extracting the discriminative features from massive SAR images. Due to the sensitivity of SAR image to the
Externí odkaz:
https://doaj.org/article/d8e4ebae7fb24202b4c42f08c74795c5
Publikováno v:
IEEE Access, Vol 12, Pp 84122-84133 (2024)
Convolutional Neural Networks (CNNs) have demonstrated remarkable performance in medical image segmentation tasks, with the U-Net architecture being a prominent example. The UNet Transformer (UNETR), an advanced variant of U-Net, incorporates a trans
Externí odkaz:
https://doaj.org/article/72b1e08b7c2f41a596862cfdc33e1f71
Publikováno v:
IEEE Access, Vol 12, Pp 4471-4484 (2024)
In the Telecommunication Industry (TCI) customer churn is a significant issue because the revenue of the service provider is highly dependent on the retention of existing customers. In this competitive market, it is essential for the service provider
Externí odkaz:
https://doaj.org/article/9f418e610fdb4838b55fed44e4b1d612