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pro vyhledávání: '"Gladston A"'
Arrhythmias, detectable via electrocardiograms (ECGs), pose significant health risks, emphasizing the need for robust automated identification techniques. Although traditional deep learning methods have shown potential, recent advances in graph-based
Externí odkaz:
http://arxiv.org/abs/2404.15367
Autor:
Castro, Pedro Henrique Nascimento, Fortuna, Gabriel Cássia, de Queiroz, Rafael Alves Bonfim, Moreira, Gladston Juliano Prates, Luz, Eduardo José da Silva
In response to the prevalent challenge of overfitting in deep neural networks, this paper introduces Simultaneous Learning, a regularization approach drawing on principles of Transfer Learning and Multi-task Learning. We leverage auxiliary datasets w
Externí odkaz:
http://arxiv.org/abs/2305.13447
Locating the promoter region in DNA sequences is of paramount importance in the field of bioinformatics. This is a problem widely studied in the literature, however, not yet fully resolved. Some researchers have presented remarkable results using con
Externí odkaz:
http://arxiv.org/abs/2112.03710
Autor:
Silva, Pedro, Moreira, Gladston, Freitas, Vander, Silva, Rodrigo, Menotti, David, Luz, Eduardo
Nowadays, deep learning is the standard approach for a wide range of problems, including biometrics, such as face recognition and speech recognition, etc. Biometric problems often use deep learning models to extract features from images, also known a
Externí odkaz:
http://arxiv.org/abs/2109.05524
Autor:
Luz, Eduardo, Silva, Pedro Lopes, Silva, Rodrigo, Silva, Ludmila, Moreira, Gladston, Menotti, David
Confronting the pandemic of COVID-19, is nowadays one of the most prominent challenges of the human species. A key factor in slowing down the virus propagation is the rapid diagnosis and isolation of infected patients. The standard method for COVID-1
Externí odkaz:
http://arxiv.org/abs/2004.05717
Autor:
Nuria Puente-Ruiz, Ian Ellis, Marsel Bregu, Cliff Chen, Heather J. Church, Karen L. Tylee, Shalini Gladston, Richard Hackett, Andrew Oldham, Surinder Virk, Christian Hendriksz, Andrew A.M. Morris, Simon A. Jones, Karolina M. Stepien
Publikováno v:
Molecular Genetics and Metabolism Reports, Vol 37, Iss , Pp 101009- (2023)
Fucosidosis (OMIN# 230000) is a rare lysosomal storage disorder (LSDs) caused by mutations in the FUCA1 gene, leading to alpha-L-fucosidase deficiency; it is inherited as an autosomal recessive trait. Fucosidosis represents a disease spectrum with a
Externí odkaz:
https://doaj.org/article/e11c82b46a984ceebcbab2acd067099a
Akademický článek
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In this work, we propose to detect the iris and periocular regions simultaneously using coarse annotations and two well-known object detectors: YOLOv2 and Faster R-CNN. We believe coarse annotations can be used in recognition systems based on the iri
Externí odkaz:
http://arxiv.org/abs/1908.00069
Autor:
Stephen, A., Nair, Saritha, Joshi, Aparna, Aggarwal, Sumit, Adhikari, Tulsi, Diwan, Vishal, Devi, Kangjam Rekha, Mishra, Bijaya Kumar, Yadav, Girijesh Kumar, Sahu, Damodar, Gulati, Bal Kishan, Sharma, Saurabh, Yadav, Jeetendra, Ovung, Senthanro, Duggal, Chetna, Sharma, Moina, Bangar, Sampada Dipak, Rebecca, Pricilla B., Rani, S., Selvaraj, Pradeep, Xavier, Gladston G., Peter, Vanessa, Watson, Basilea, Kannan, T., Asmathulla, K.S.M.D., Bhattacharya, Debdutta, Turuk, Jyotirmayee, Palo, Subrata Kumar, Kanungo, Srikanta, Behera, Ajit Kumar, Pandey, Ashok Kumar, Zaman, Kamran, Misra, BrijRanjan, Kumar, Niraj, Behera, SthitaPragnya, Singh, Rajeev, Narain, Kanwar, Kant, Rajni, Sahay, Seema, Tiwari, RajnarayanRamshankar, Thomas, Beena Elizabeth, Karikalan, N., Panda, Samiran, Vardhana Rao, M. Vishnu, Ujagare, Dhammsagar, Chinchore, Sneha
Publikováno v:
In International Journal of Disaster Risk Reduction July 2023 93
PERFORMANCE EVALUATION OF A SMALL-SCALE MAGNETORHEOLOGICAL DAMPER FOR CIVIL ENGINEERING APPLICATIONS
Publikováno v:
Advances in Civil and Architectural Engineering, Vol 14, Iss 27, Pp 44-66 (2023)
Magnetorheological dampers (MRDs) are devices that adjust their damping properties in response to an external magnetic field. Large-scale MRDs have been successfully used as vibration control devices in structures. This study focuses on modelling and
Externí odkaz:
https://doaj.org/article/ca5b23d33a514cbf8cf1e881eeeae12d