Zobrazeno 1 - 10
of 650
pro vyhledávání: '"encoder–decoder network"'
Publikováno v:
BMC Bioinformatics, Vol 25, Iss 1, Pp 1-16 (2024)
Abstract Background RNA secondary structural alignment serves as a foundational procedure in identifying conserved structural motifs among RNA sequences, crucially advancing our understanding of novel RNAs via comparative genomic analysis. While vari
Externí odkaz:
https://doaj.org/article/edc36e75fedd42a1a9ba86348eae56e8
Autor:
Firdaus Firdaus, Siti Nurmaini, Bambang Tutuko, Muhammad Naufal Rachmatullah, Anggun Islami, Annisa Darmawahyuni, Ade Iriani Sapitri, Widya Rohadatul Ais'sy, Muhammad Irfan Karim, Muhammad Fachrurrozi, Ahmad Zarkasi
Publikováno v:
Franklin Open, Vol 8, Iss , Pp 100151- (2024)
Patients in intensive care unit (ICU) often have multiple vital signs monitored continuously. However, missing data is common in ICU settings, negatively impacting clinical decision-making and patient outcomes. In this study propose a multivariate da
Externí odkaz:
https://doaj.org/article/02009b16a27b40cd85737c0b3536aac6
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-17 (2024)
Abstract Skin cancer is the most prevalent kind of cancer in people. It is estimated that more than 1 million people get skin cancer every year in the world. The effectiveness of the disease’s therapy is significantly impacted by early identificati
Externí odkaz:
https://doaj.org/article/5a5a0261eeff4d3abcd369e403b092d2
Autor:
Keyvan Firuzi
Publikováno v:
IEEE Access, Vol 12, Pp 132271-132278 (2024)
As the application of online partial discharge (PD) measurement increases the importance of denoising becomes increasingly obvious. Besides denoising a PD signal to detect and calculate discharge amplitude, pulse reconstructing is required to compute
Externí odkaz:
https://doaj.org/article/a31ab0849a6340df9bfb059d3ae73b7b
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 13120-13134 (2024)
Natural disasters commonly occur in all regions around the world and cause huge financial and human losses. One of the main effects of earthquakes and floods is the destruction of buildings. Photogrammetric and remote sensing (RS) data track changes
Externí odkaz:
https://doaj.org/article/30f47286353442d491108d40ac6b2ba0
Publikováno v:
IEEE Access, Vol 12, Pp 8822-8832 (2024)
The convolutional neural network method has certain limitations in medical image segmentation. As a result of the limited availability of polyp datasets, the model framework is vulnerable to instability and overfitting during training. Beyond that, a
Externí odkaz:
https://doaj.org/article/3fa5ceb539634f7795001d598f36611f
Publikováno v:
Sensors, Vol 24, Iss 17, p 5501 (2024)
Wind energy is a clean energy source that is characterised by significant uncertainty. The electricity generated from wind power also exhibits strong unpredictability, which when integrated can have a substantial impact on the security of the power g
Externí odkaz:
https://doaj.org/article/8fdea20db8b7411b9320f86951015fb9
Autor:
Chun-Chi Chen, Yi-Ming Chan
Publikováno v:
BMC Bioinformatics, Vol 24, Iss 1, Pp 1-13 (2023)
Abstract Background As the RNA secondary structure is highly related to its stability and functions, the structure prediction is of great value to biological research. The traditional computational prediction for RNA secondary prediction is mainly ba
Externí odkaz:
https://doaj.org/article/5538fc82f5494ef6bd3f38b92633a876
Publikováno v:
IEEE Access, Vol 11, Pp 129321-129330 (2023)
Cell nuclei segmentation, the task of identifying the precise boundary of the nucleus in each cell in a histopathology image, is a rudimentary task prior to single-cell analysis. While addressing this task, two of the major challenges are the precise
Externí odkaz:
https://doaj.org/article/d1fb7319dba643b8a575e0d33a233a40
Publikováno v:
IEEE Access, Vol 11, Pp 125984-125994 (2023)
The use of Deep learning techniques in the field of Marine Science has become popular in recent years. For instance, many works propose the application of instance segmentation neural networks (in particular, Mask R-CNN) for detection and classificat
Externí odkaz:
https://doaj.org/article/a30512fff20d4a63a5c065d39533c40a