Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Michael Abebe Berwo"'
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:
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:
Zongtao Duan, Jabar Mahmood, Yun Yang, Michael Abebe Berwo, Abd al Kader Ahmed Yassin, Muhammad Nasir Mumtaz Bhutta, Shehzad Ashraf Chaudhry
Publikováno v:
Security and Communication Networks. 2022:1-15
A vehicular ad hoc network (VANET) is essential for the autonomous vehicle industry, and with the advancement in VANET technology, security threats are increasing rapidly. Mitigation of these threats needs an intelligent security protocol that provid
Publikováno v:
2022 3rd International Conference on Information Science, Parallel and Distributed Systems (ISPDS).
Publikováno v:
Journal of Physics: Conference Series. 2356:012026
Off-road vehicles are rapidly being employed for transportation, military activities, and sports racing. However, in monitoring and maintaining the race’s safety and reliability, quad-bike detection receives less attention than on-road vehicle reco
Autor:
Abd al Kader Ahmed Yassin, Jabar Mahmood, Heng Xue, Michael Abebe Berwo, Sajjad Ahmad Khan, Yun Yang, Zongtao Duan
Publikováno v:
Wireless Communications and Mobile Computing, Vol 2021 (2021)
The advancements in Vehicular Ad Hoc Networks (VANETs) require more intelligent security protocols that ultimately provide unbreakable security to vehicles and other components of VANETs. VANETs face various types of security pitfalls due to the open