Zobrazeno 1 - 10
of 32
pro vyhledávání: '"Quwsar Ohi"'
Autor:
Abu Quwsar Ohi, Marina L. Gavrilova
Publikováno v:
Sensors, Vol 24, Iss 6, p 1996 (2024)
Speaker recognition is a challenging problem in behavioral biometrics that has been rigorously investigated over the last decade. Although numerous supervised closed-set systems inherit the power of deep neural networks, limited studies have been mad
Externí odkaz:
https://doaj.org/article/ecdaeae01d534bb388350a8f29628fae
Publikováno v:
IEEE Access, Vol 9, Pp 13224-13236 (2021)
Fabric is a planar material composed of textile fibers. Textile fibers are generated from many natural sources; including plants, animals, minerals, and even, it can be synthetic. A particular fabric may contain different types of fibers that pass th
Externí odkaz:
https://doaj.org/article/07fd65a6d822415e83f8cb747824683b
Publikováno v:
IEEE Access, Vol 9, Pp 79236-79263 (2021)
Humans can identify a speaker by listening to their voice, over the telephone, or on any digital devices. Acquiring this congenital human competency, authentication technologies based on voice biometrics, such as automatic speaker recognition (ASR),
Externí odkaz:
https://doaj.org/article/bcf7b4f09ec5401994b68a16c7e2ff3f
Publikováno v:
IEEE Access, Vol 9, Pp 89619-89643 (2021)
Speaker recognition is related to human biometrics dealing with the identification of speakers from their speech. Speaker recognition is an active research area and being widely investigated using artificially intelligent mechanisms. Though speaker r
Externí odkaz:
https://doaj.org/article/d91953a10a5c457191beb89e1b1ca13c
Autor:
M. F. Mridha, Abu Quwsar Ohi, Jungpil Shin, Muhammad Mohsin Kabir, Muhammad Mostafa Monowar, Md. Abdul Hamid
Publikováno v:
IEEE Access, Vol 9, Pp 132329-132341 (2021)
Writer identification is the procedure of identifying individuals from handwriting. Writer identification is a common interest in biometric authentication and verification systems, and numerous studies are available for English, Chinese, Arabic, and
Externí odkaz:
https://doaj.org/article/b888593ede8e4d6c96d34b30651ab57a
Publikováno v:
Scientific Reports, Vol 10, Iss 1, Pp 1-19 (2020)
Abstract Pandemic defines the global outbreak of a disease having a high transmission rate. The impact of a pandemic situation can be lessened by restricting the movement of the mass. However, one of its concomitant circumstances is an economic crisi
Externí odkaz:
https://doaj.org/article/83a20bbd17fe46fd8e887130154d6a96
Publikováno v:
Agriculture, Vol 12, Iss 6, p 814 (2022)
Plant diseases have been one of the most threatening scenarios to farmers. Although most plant diseases can be identified by observing leaves, it often requires human expertise. The recent improvements in computer vision have led to introduce disease
Externí odkaz:
https://doaj.org/article/bdf9ba65727b475c9dcdc777616eaec0
Publikováno v:
Data in Brief, Vol 34, Iss , Pp 106633- (2021)
This article presents a Bangla handwriting dataset named BanglaWriting that contains single-page handwritings of 260 individuals of different personalities and ages. Each page includes bounding-boxes that bounds each word, along with the unicode repr
Externí odkaz:
https://doaj.org/article/2db611c1442e4dcb9325e2abed3e0bc6
Publikováno v:
Sensors, Vol 22, Iss 6, p 2188 (2022)
Image retrieval techniques are becoming famous due to the vast availability of multimedia data. The present image retrieval system performs excellently on labeled data. However, often, data labeling becomes costly and sometimes impossible. Therefore,
Externí odkaz:
https://doaj.org/article/431e8116be5a478ba9e161c765b032ea
Autor:
Faris A. Kateb, Muhammad Mostafa Monowar, Md. Abdul Hamid, Abu Quwsar Ohi, Muhammad Firoz Mridha
Publikováno v:
Agronomy, Vol 11, Iss 12, p 2440 (2021)
Computer vision is currently experiencing success in various domains due to the harnessing of deep learning strategies. In the case of precision agriculture, computer vision is being investigated for detecting fruits from orchards. However, such stra
Externí odkaz:
https://doaj.org/article/780824197b344748b3ee329358f9ff0f