Zobrazeno 1 - 10
of 1 609
pro vyhledávání: '"Convolutional Autoencoder"'
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-19 (2024)
Abstract Polycystic Ovary Syndrome (PCOS) is a widespread endocrinological dysfunction impacting women of reproductive age, categorized by excess androgens and a variety of associated syndromes, consisting of acne, alopecia, and hirsutism. It involve
Externí odkaz:
https://doaj.org/article/301511eceb314f87986d6c2f893087f9
Autor:
HE Jia
Publikováno v:
Chengshi guidao jiaotong yanjiu, Vol 27, Iss 10, Pp 13-20 (2024)
Objective The diverse and complex operating environment of axle box bearings makes it challenging for bearing fault diagnostic methods to achieve satisfactory results with the single sensor. To address this issue, research is conducted on train beari
Externí odkaz:
https://doaj.org/article/9fd129fe371b49c6a3384594b97ba127
Publikováno v:
Results in Physics, Vol 67, Iss , Pp 108027- (2024)
In this study, a convolutional autoencoder is constructed to extract and reconstruct the dynamical processes of soliton collisions in optical fibers. The model demonstrates exceptional reconstruction capabilities, accurately capturing the evolution o
Externí odkaz:
https://doaj.org/article/e93ebfcbf5444bbfa987061bacc51be0
Autor:
Zijun Mu, Junfei Xia
Publikováno v:
PeerJ, Vol 12, p e18234 (2024)
Grain crops are vulnerable to anthropogenic climate change and extreme temperature events. Despite this, previous studies have often neglected the impact of the spatio-temporal distribution of extreme temperature events on regional grain outputs. Thi
Externí odkaz:
https://doaj.org/article/0cefe9c2eb094b5b9466dd09f796f10f
Publikováno v:
Frontiers in Computational Neuroscience, Vol 18 (2024)
IntroductionAdolescence is a fundamental period of transformation, encompassing extensive physical, psychological, and behavioral changes. Effective health risk assessment during this stage is crucial for timely intervention, yet traditional methodol
Externí odkaz:
https://doaj.org/article/7e665edbb7b24faf972c7fe95a652ce0
Publikováno v:
AIMS Mathematics, Vol 9, Iss 7, Pp 17676-17695 (2024)
The fast development of the internet of things has been associated with the complex worldwide problem of protecting interconnected devices and networks. The protection of cyber security is becoming increasingly complicated due to the enormous growth
Externí odkaz:
https://doaj.org/article/70ff11a1d438471ba0570f1e62c30cef
Autor:
Emilio Corcione, Fabian Jakob, Lukas Wagner, Raphael Joos, Andre Bisquerra, Marcel Schmidt, Andreas D. Wieck, Arne Ludwig, Michael Jetter, Simone L. Portalupi, Peter Michler, Cristina Tarín
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-13 (2024)
Abstract A key challenge in quantum photonics today is the efficient and on-demand generation of high-quality single photons and entangled photon pairs. In this regard, one of the most promising types of emitters are semiconductor quantum dots, fluor
Externí odkaz:
https://doaj.org/article/de516114492d4a43929e441ae9c5cca7
Publikováno v:
IEEE Access, Vol 12, Pp 146441-146452 (2024)
The exploration and implementation of brain-computer interfaces (BCIs) utilizing electro- encephalography (EEG) are becoming increasingly widespread. However, their safety considerations have received scant attention. Recent studies have shown that E
Externí odkaz:
https://doaj.org/article/b44db8190002499a84fd5e3198065d91
Autor:
Moshiur Rahman Tonmoy, Abdul Fattah Rakib, Rashik Rahman, Md. Akhtaruzzaman Adnan, M. F. Mridha, Jie Huang, Jungpil Shin
Publikováno v:
IEEE Open Journal of the Computer Society, Vol 5, Pp 120-130 (2024)
Font style recognition plays a vital role in the field of computer vision, particularly in document and pattern analysis, and image processing. In the industry context, this recognition of font styles holds immense importance for professionals such a
Externí odkaz:
https://doaj.org/article/db41d852b44e4636894fe90fc63cd981
Autor:
Jianbin Zheng, Ziyao Chen, Liping Huang, Yifan Gao, Xiangxiang Yu, Hui Wang, Jiamei Yang, Yu Wang
Publikováno v:
IEEE Access, Vol 12, Pp 22144-22157 (2024)
In recent years, with the rapid advancements in deep learning technologies, particularly deep neural networks, signature verification has seen significant improvements in accuracy. Despite the significant progress made in using deep learning technolo
Externí odkaz:
https://doaj.org/article/69210d073ce6434f8a334c7430fb77c7