Zobrazeno 1 - 10
of 5 098
pro vyhledávání: '"softmax"'
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-15 (2024)
Abstract Accurate diagnosis of white blood cells from cytopathological images is a crucial step in evaluating leukaemia. In recent years, image classification methods based on fully convolutional networks have drawn extensive attention and achieved c
Externí odkaz:
https://doaj.org/article/e084530f151c4ef8a5c18fc9fa8ae85e
Publikováno v:
International Journal of Ophthalmology, Vol 17, Iss 7, Pp 1193-1204 (2024)
AIM: To address the challenges of data labeling difficulties, data privacy, and necessary large amount of labeled data for deep learning methods in diabetic retinopathy (DR) identification, the aim of this study is to develop a source-free domain ada
Externí odkaz:
https://doaj.org/article/f3915f9c74ca46018587032a28bb4265
Publikováno v:
Complex & Intelligent Systems, Vol 10, Iss 4, Pp 5721-5741 (2024)
Abstract Conformer-based models have proven highly effective in Audio-visual Speech Recognition, integrating auditory and visual inputs to significantly enhance speech recognition accuracy. However, the widely utilized softmax attention mechanism wit
Externí odkaz:
https://doaj.org/article/161fb7353b394aadbfa77731cc1122d9
Publikováno v:
IET Image Processing, Vol 18, Iss 3, Pp 731-740 (2024)
Abstract In this paper, an additive margin network with adaptive feature recalibration, AMNets, for handling a wide range of visual tasks, is proposed. The new AMNets consists of three improvements on convolutional neural networks: (1) squeeze‐and
Externí odkaz:
https://doaj.org/article/a81e8f2952fa4eddb6e0ec95b72da779
Autor:
Javad Mahmoodi, Dariush Abbasi-Moghadam, Alireza Sharifi, Hossein Nezamabadi-Pour, Mohammad Esmaeili, Alireza Vafaeinejad
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 14588-14613 (2024)
Recent advancements in remote sensing technology have significantly expanded the exploration of natural resources and enabled the detection of materials in inaccessible areas. Hyperspectral images (HSIs) are a valuable data source due to their distin
Externí odkaz:
https://doaj.org/article/a443848c297649bc8c9204dde0659302
Autor:
Ade Clinton Sitepu, Chuan-Ming Liu
Publikováno v:
IEEE Access, Vol 12, Pp 95517-95528 (2024)
Artificial Intelligence, including machine learning and deep convolutional neural networks (DCNNs), relies on complex algorithms and neural networks to process and analyze data. DCNNs for visual recognition often require access to high-performance ha
Externí odkaz:
https://doaj.org/article/ea69197c5b674e97a0225e84190436fa
Autor:
Alimov Abdulboriy, Ji Sun Shin
Publikováno v:
IEEE Access, Vol 12, Pp 18972-18986 (2024)
With the rapid growth of digitalization and the increasing volume of data, the cybersecurity threat landscape is expanding at an alarming rate. Intrusion Detection Systems (IDS) have been widely employed in conjunction with firewalls to safeguard net
Externí odkaz:
https://doaj.org/article/620c514294f84b8fa33085ab15db8f98
Autor:
Karim Gasmi, Ahmed Kharrat, Lassaad Ben Ammar, Ibtihel Ben Ltaifa, Moez Krichen, Manel Mrabet, Hamoud Alshammari, Samia Yahyaoui, Kais Khaldi, Olfa Hrizi
Publikováno v:
AIMS Mathematics, Vol 9, Iss 2, Pp 4604-4631 (2024)
In recent years, augmented reality has emerged as an emerging technology with huge potential in image-guided surgery, and in particular, its application in brain tumor surgery seems promising. Augmented reality can be divided into two parts: hardware
Externí odkaz:
https://doaj.org/article/269903348d5a4a31889555f3c2fd2b4b
Publikováno v:
Neutrosophic Sets and Systems, Vol 56, Pp 213-244 (2023)
The softmax function is a well-known generalization of the logistic function. It has been extensively applied in various probabilistic classification methods such as softmax regression, linear discriminant analysis, naive Bayes classifiers, and artif
Externí odkaz:
https://doaj.org/article/1a396c7704d0424d8c8b55bea847b797
Publikováno v:
Applied Sciences, Vol 14, Iss 12, p 5328 (2024)
Fruit fly species classification is a fine-grained task as there is a small gap between species. In order to effectively identify and improve the recognition of fruit flies, a fine-grained image-recognition method based on a multi-channel self-attent
Externí odkaz:
https://doaj.org/article/188f839b94f54cbd85aba3ee71dee80c