Zobrazeno 1 - 10
of 57
pro vyhledávání: '"Michael Abebe"'
Publikováno v:
Alexandria Engineering Journal, Vol 108, Iss , Pp 961-975 (2024)
Vehicle Exterior Body Damage(VEBD) parts classification is important for claim processing, cost estimation, accident investigation, and vehicle damage assessment. Class imbalance in the VEBD part classification dataset is a primary factor affecting t
Externí odkaz:
https://doaj.org/article/ad242a278fca429cb8d19c1df94aaaf8
Autor:
Ephrem Afele Retta, Richard Sutcliffe, Jabar Mahmood, Michael Abebe Berwo, Eiad Almekhlafi, Sajjad Ahmad Khan, Shehzad Ashraf Chaudhry, Mustafa Mhamed, Jun Feng
Publikováno v:
Applied Sciences, Vol 13, Iss 23, p 12587 (2023)
In a conventional speech emotion recognition (SER) task, a classifier for a given language is trained on a pre-existing dataset for that same language. However, where training data for a language do not exist, data from other languages can be used in
Externí odkaz:
https://doaj.org/article/95ae339e168a4471be069f63e45f3bff
Kiñit classification in Ethiopian chants, Azmaris and modern music: A new dataset and CNN benchmark.
Autor:
Ephrem Afele Retta, Richard Sutcliffe, Eiad Almekhlafi, Yosef Kefyalew Enku, Eyob Alemu, Tigist Demssice Gemechu, Michael Abebe Berwo, Mustafa Mhamed, Jun Feng
Publikováno v:
PLoS ONE, Vol 18, Iss 4, p e0284560 (2023)
In this paper, we create EMIR, the first-ever Music Information Retrieval dataset for Ethiopian music. EMIR is freely available for research purposes and contains 600 sample recordings of Orthodox Tewahedo chants, traditional Azmari songs and contemp
Externí odkaz:
https://doaj.org/article/3834e1af0a3b4395924bac229f06b46e
Autor:
Michael Abebe Berwo, Asad Khan, Yong Fang, Hamza Fahim, Shumaila Javaid, Jabar Mahmood, Zain Ul Abideen, Syam M.S.
Publikováno v:
Sensors, Vol 23, Iss 10, p 4832 (2023)
Detecting and classifying vehicles as objects from images and videos is challenging in appearance-based representation, yet plays a significant role in the substantial real-time applications of Intelligent Transportation Systems (ITSs). The rapid dev
Externí odkaz:
https://doaj.org/article/6e3e8b06a9d047a281b2299a0a60e0dd
Publikováno v:
PLoS ONE, Vol 17, Iss 2 (2022)
Teaching assistants (TAs) often lead courses using curricula they did not design. Therefore, examining how curriculum and professional development (PD) interact to influence TAs’ teaching practices is critical. This study describes the effects of a
Externí odkaz:
https://doaj.org/article/10c12de24cc34a1f8303b0706c1ee61d
Publikováno v:
Journal of Microbiology & Biology Education, Vol 22, Iss 2 (2021)
ABSTRACT Biologists consider variability during biological investigations. A robust quantitative understanding of variability is particularly important during data analysis, where statistics are used to quantify variation and draw conclusions about p
Externí odkaz:
https://doaj.org/article/6f46b58ffdad4692a6eff55db8683ae2
Publikováno v:
Applied Sciences, Vol 12, Iss 19, p 9713 (2022)
Crack inspections of automotive engine components are usually conducted manually; this is often tedious, with a high degree of subjectivity and cost. Therefore, establishing a robust and efficient method will improve the accuracy and minimize the sub
Externí odkaz:
https://doaj.org/article/c41b63058c6c4e9699a7ddc2b82f6a5f
Autor:
Retta, Ephrem Afele, Sutcliffe, Richard, Mahmood, Jabar, Berwo, Michael Abebe, Almekhlafi, Eiad, Khan, Sajjad Ahmed, Chaudhry, Shehzad Ashraf, Mhamed, Mustafa, Feng, Jun
In a conventional Speech emotion recognition (SER) task, a classifier for a given language is trained on a pre-existing dataset for that same language. However, where training data for a language does not exist, data from other languages can be used
Externí odkaz:
http://arxiv.org/abs/2307.10814
Autor:
Tesfay, Cheru Haile, Xiang, Zheng, Yang, Long, Berwo, Michael Abebe, Mahmood, Jabar, Chaudhry, Shehzad Ashraf
Publikováno v:
In Physical Communication December 2024 67
Publikováno v:
In Alexandria Engineering Journal December 2024 108:961-975