Zobrazeno 1 - 10
of 259
pro vyhledávání: '"external attention"'
Publikováno v:
Journal of Cloud Computing: Advances, Systems and Applications, Vol 13, Iss 1, Pp 1-19 (2024)
Abstract Load prediction tasks aim to predict the dynamic trend of future load based on historical performance sequences, which are crucial for cloud platforms to make timely and reasonable task scheduling. However, existing prediction models are lim
Externí odkaz:
https://doaj.org/article/ef97044f66df4e07981df4b436366c5e
Publikováno v:
Shanghai Jiaotong Daxue xuebao, Vol 58, Iss 6, Pp 846-854 (2024)
Non-intrusive load disaggregation (NILD) can deeply explore the value of customer power consumption data, providing an important reference for decision analysis such as power equipment fault monitoring and demand response. Aimed at the conflict betwe
Externí odkaz:
https://doaj.org/article/4a2d4b3219d74f9a9027b31c22053dcf
Publikováno v:
IEEE Access, Vol 12, Pp 133456-133468 (2024)
Inpainting images that have sizable missing blocks presents a considerable challenge in terms of preserving visual consistency and attaining a convincing result. In this study, the multi-scale generative adversarial network with multi-head external a
Externí odkaz:
https://doaj.org/article/33b2701dea9044ed8027e8c384f857b6
Autor:
K. Vanitha, A. Manimaran, K. Chokkanathan, K. Anitha, T. R. Mahesh, V. Vinoth Kumar, G. N. Vivekananda
Publikováno v:
IEEE Access, Vol 12, Pp 126296-126312 (2024)
Breast cancer, a common malignancy impacting women globally, involves the uncontrolled growth of breast cancer cells. Timely identification and accurate classification of breast cancer into non-cancerous (benign) and cancerous (malignant) categories
Externí odkaz:
https://doaj.org/article/8d8b10808e0544019f7c0b4b4a8370e5
Publikováno v:
Mathematical Biosciences and Engineering, Vol 20, Iss 9, Pp 15809-15829 (2023)
Transcription factors (TFs) are important factors that regulate gene expression. Revealing the mechanism affecting the binding specificity of TFs is the key to understanding gene regulation. Most of the previous studies focus on TF-DNA binding sites
Externí odkaz:
https://doaj.org/article/80b8b9b797594baf8e24b15451563d15
Publikováno v:
Frontiers in Psychology, Vol 15 (2024)
Microsaccades are small, involuntary eye movements that occur during fixation. Since the 1950s, researchers have conducted extensive research on the role of microsaccades in visual information processing, and found that they also play an important ro
Externí odkaz:
https://doaj.org/article/5b6c0bfd9dbd4a60bf4ecbbae2c5a146
Autor:
Chukwuebuka Joseph Ejiyi, Zhen Qin, Ann O Nnani, Fuhu Deng, Thomas Ugochukwu Ejiyi, Makuachukwu Bennedith Ejiyi, Victor Kwaku Agbesi, Olusola Bamisile
Publikováno v:
Computer Methods and Programs in Biomedicine Update, Vol 5, Iss , Pp 100133- (2024)
Pulmonary tuberculosis (TB), the most prevalent form of TB, remains a major global public health concern, contributing to more than a million deaths each year. The accurate and timely diagnosis of this disease is of paramount importance for effective
Externí odkaz:
https://doaj.org/article/c33dd64c91ef4c2293c24ab311bcaa78
Autor:
Salha M. Alzahrani
Publikováno v:
Journal of King Saud University: Computer and Information Sciences, Vol 35, Iss 10, Pp 101810- (2023)
Attention-based methods have recently demonstrated notable advancements in brain tumor classification. To further advance and strengthen this development, we have developed ConvAttenMixer, a transformer model that incorporates convolutional layers al
Externí odkaz:
https://doaj.org/article/e88e8ee0037947d2b822fed50fe79b70
Autor:
Meiling Yin, Eun-Ju Lee
Publikováno v:
Frontiers in Neuroscience, Vol 17 (2023)
Eco-friendly consumption is important for solving climate crisis and moving humanity toward a better future. However, few consumers are willing to pay premiums for eco-friendly products. We investigated the psychological and neural factors that can i
Externí odkaz:
https://doaj.org/article/58b40bbd6c6c445e95e5dfbb4aaa065f
Autor:
Gazi Jannatul Ferdous, Khaleda Akhter Sathi, Md. Azad Hossain, Mohammed Moshiul Hoque, M. Ali Akber Dewan
Publikováno v:
IEEE Access, Vol 11, Pp 20337-20350 (2023)
Current deep learning-assisted brain tumor classification models sustain inductive bias and parameter dependency problems for extracting texture-based image information. Thereby concerning these problems, the recent development of the vision transfor
Externí odkaz:
https://doaj.org/article/677ae5241fca41cd860859d0f1362bd5