Zobrazeno 1 - 10
of 1 773
pro vyhledávání: '"Attention networks"'
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-13 (2024)
Abstract As one of the most important senses in human beings, touch can also help robots better perceive and adapt to complex environmental information, improving their autonomous decision-making and execution capabilities. Compared to other percepti
Externí odkaz:
https://doaj.org/article/a5112a2a9b12423cb6bf5048faf0fe6c
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-12 (2024)
Abstract Aspect-based sentiment analysis (ABSA) is a challenging task due to the presence of multiple aspect words with different sentiment polarities in a sentence. Recently, pre-trained language models like BERT have been widely used as context enc
Externí odkaz:
https://doaj.org/article/5d074dce7029422697431680bcd46843
Autor:
SK Khaja Shareef, R. Krishna Chaitanya, Srinivasulu Chennupalli, Devi Chokkakula, K. V. D. Kiran, Udayaraju Pamula, Ramesh Vatambeti
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-19 (2024)
Abstract The Internet of Things (IoT) permeates various sectors, including healthcare, smart cities, and agriculture, alongside critical infrastructure management. However, its susceptibility to malware due to limited processing power and security pr
Externí odkaz:
https://doaj.org/article/99cae7d4c0bd47a1b064fb5d9799fce6
Autor:
Yuzhu Teng, Hailan Wu, Xiaoyun Zhou, Feiyang Li, Zhong Dong, Huafeng Wang, Kai Wang, Qianchun Yu
Publikováno v:
Frontiers in Psychology, Vol 15 (2024)
BackgroundSanda, a martial art that primarily involves punching, kicking, and throwing techniques, requires athletes to maintain high levels of concentration during combat. Sanda principally involves striking the opponent to secure victory, with trau
Externí odkaz:
https://doaj.org/article/19cca0e775f44cb88295864d44a84ea3
Publikováno v:
IEEE Open Journal of the Computer Society, Vol 5, Pp 684-693 (2024)
Despite the recent progress in emotion recognition, state-of-the-art systems are unable to achieve improved performance in cross-language settings. In this article we propose a Multimodal Dual Attention Transformer (MDAT) model to improve cross-langu
Externí odkaz:
https://doaj.org/article/42bd9d1f55eb489b89c3b5b09c73388a
Publikováno v:
Electronic Research Archive, Vol 32, Iss 4, Pp 2310-2322 (2024)
Graph convolution networks (GCN) have demonstrated success in learning graph structures; however, they are limited in inductive tasks. Graph attention networks (GAT) were proposed to address the limitations of GCN and have shown high performance in g
Externí odkaz:
https://doaj.org/article/5332fa983831429cbab5e0dff4d21a33
Publikováno v:
Electronic Research Archive, Vol 32, Iss 4, Pp 2267-2285 (2024)
Nowadays, advancements in facial recognition technology necessitate robust solutions to address challenges in real-world scenarios, including lighting variations and facial position discrepancies. We introduce a novel deep neural network framework th
Externí odkaz:
https://doaj.org/article/e6581bac6cda405190e71be1e5a97143
Publikováno v:
Heliyon, Vol 10, Iss 16, Pp e35938- (2024)
In previous research, the prevailing assumption was that Graph Neural Networks (GNNs) precisely depicted the interconnections among nodes within the graph's architecture. Nonetheless, real-world graph datasets are often rife with noise, elements that
Externí odkaz:
https://doaj.org/article/b6d14e9dd9f5419b8dc59525a5e2be6a
Publikováno v:
Frontiers in Microbiology, Vol 15 (2024)
IntroductionAccumulating evidence shows that human health and disease are closely related to the microbes in the human body.MethodsIn this manuscript, a new computational model based on graph attention networks and sparse autoencoders, called GCANCAE
Externí odkaz:
https://doaj.org/article/9a9828a7feb240f9a18a21e0e0608281
Publikováno v:
PeerJ Computer Science, Vol 10, p e2200 (2024)
The rapid dissemination of unverified information through social platforms like Twitter poses considerable dangers to societal stability. Identifying real versus fake claims is challenging, and previous work on rumor detection methods often fails to
Externí odkaz:
https://doaj.org/article/754288c9bff74b6b870065462b53e927