Zobrazeno 1 - 10
of 37
pro vyhledávání: '"Bagher BabaAli"'
Autor:
Shervin Rasoulzadeh, Bagher BabaAli
Publikováno v:
IET Biometrics, Vol 11, Iss 1, Pp 10-22 (2022)
Abstract The issue of writer identification and writer retrieval, which is considered a challenging problem in the field of document analysis and recognition is addressed here.. A novel pipeline is proposed for the problem at hand by employing a unif
Externí odkaz:
https://doaj.org/article/e7507192e7c24237ba478e38f5ede301
Publikováno v:
BMC Bioinformatics, Vol 22, Iss 1, Pp 1-11 (2021)
Abstract Background Antimicrobial peptides are promising tools to fight against ever-growing antibiotic resistance. However, despite many advantages, their toxicity to mammalian cells is a critical obstacle in clinical application and needs to be add
Externí odkaz:
https://doaj.org/article/1c0cb3e61e1b44b4b78f6a7e30f8888e
Publikováno v:
EURASIP Journal on Advances in Signal Processing, Vol 2009 (2009)
Automatic speech recognition performance degrades significantly when speech is affected by environmental noise. Nowadays, the major challenge is to achieve good robustness in adverse noisy conditions so that automatic speech recognizers can be used i
Externí odkaz:
https://doaj.org/article/beb0393235bc4d54bc516e99ee85a53e
Publikováno v:
BMC Bioinformatics, Vol 22, Iss 1, Pp 1-11 (2021)
BMC Bioinformatics
BMC Bioinformatics
Background Antimicrobial peptides are promising tools to fight against ever-growing antibiotic resistance. However, despite many advantages, their toxicity to mammalian cells is a critical obstacle in clinical application and needs to be addressed. R
Autor:
Saleh Momeni, bagher babaali
Handwriting recognition has always been one of the most important and challenging issues in pattern recognition and machine learning due to its diverse applications. In this paper, we investigate the problem of Arabic offline handwritten text recogni
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d9d879fc7f340d1760f3e52e0cb24191
https://doi.org/10.21203/rs.3.rs-2300065/v1
https://doi.org/10.21203/rs.3.rs-2300065/v1
Autor:
Bagher BabaAli
Publikováno v:
Soft Computing. 25:9639-9649
Writer identification is the task of specifying the genuine writer according to their handwriting across a set of enrolled subjects which is a noteworthy research topic in the community of document analysis and recognition. In this paper, a novel fra
Publikováno v:
Signal and Data Processing. 17:37-54
End-to-end (E2E) spoken language understanding (SLU) systems avoid an intermediate textual representation by mapping speech directly into intents with slot values. This approach requires considerable domain-specific training data. In low-resource sce
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1d236a82d9bcad345aac7531860ff6c8
https://lirias.kuleuven.be/handle/123456789/676477
https://lirias.kuleuven.be/handle/123456789/676477
Publikováno v:
2020 International Conference on Machine Vision and Image Processing (MVIP).
Today, with the advancement of technology and the widespread use of the internet, watermarking techniques are being developed to protect copyright and data security. The methods proposed for watermarking can be divided into two main categories: spati
Autor:
Bagher BabaAli, Shervin Rasoulzadeh
Publikováno v:
IET Biometrics, Vol 11, Iss 1, Pp 10-22 (2022)
This paper addresses writer identification and writer retrieval which is considered as a challenging problem in the document analysis and recognition field. In this work, a novel pipeline is proposed for the problem at hand by employing a unified neu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::098218ab21601ec6728ef74394154112