Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Shehu Mohammed Yusuf"'
Publikováno v:
Neurocomputing. 428:19-29
Machine learning pipelines for protein functional family prediction are urgently needed especially now that only 1% of raw protein sequences have been manually annotated. Although existing machine learning algorithms have achieved a decent performanc
Autor:
Shehu Mohammed Yusuf, Emmanuel Adewale Adedokun, M. B. Mua’zu, Ime J. Umoh, Ahmed Abdul Ibrahim
Publikováno v:
2021 Innovations in Intelligent Systems and Applications Conference (ASYU).
Data scarcity and speech degradation due to environmental noise are two significant issues in the modelling and deployment speech emotion recognition (SER) systems. Deep learning-based SER systems overfits during modelling because of scarce training
Autor:
Yusuf Ibrahim, Emmanuel Okafor, Basira Yahaya, Shehu Mohammed Yusuf, Zainab Mukhtar Abubakar, Umar Yusuf Bagaye
Publikováno v:
2021 1st International Conference on Multidisciplinary Engineering and Applied Science (ICMEAS).
Publikováno v:
2021 1st International Conference on Multidisciplinary Engineering and Applied Science (ICMEAS).
Autor:
Mohsen Geramishoar, Sadegh Khodavaisy, Mansur Aliyu, Usman Tijjani Aliyu, Seyed Jamal Hashemi, Shehu Mohammed Yusuf, Muhammad Ibrahim Getso, Hasti Kamali Sarvestani, Faiza Sadauki Kibiya, Roshanak Daie Ghazvini
Publikováno v:
Journal de mycologie medicale. 31(3)
Background Tinea capitis is a dermatophyte infection of the scalp and hair that affects a large number of people worldwide. The disease commonly affects children and manifests with varying degrees of hair loss, scalp inflammation, and psychosocial im
Autor:
Abdullahi Abdu Ibrahim, A. T. Salawudeen, Mayo T. Zion, Izuagbe S. Momoh, Emmanuel K. Akut, Shehu Mohammed Yusuf
Publikováno v:
IJEEC - INTERNATIONAL JOURNAL OF ELECTRICAL ENGINEERING AND COMPUTING. 4
This paper presents an optimized solution to locate a depot on multiobjective instances of Capacitated Vehicle Pouting Problem (CVRP) using firefly algorithm (FA). The main objective of a depot location routing problem (LRP) is to obtain the optimal
Autor:
Suleiman Garba, Yusuf Abubakar Sha’aban, M. B. Mua’zu, Salawudeen Ahmed Tijani, Shehu Mohammed Yusuf, Alhassan Mohammed
Publikováno v:
Covenant Journal of Informatics & Communication Technology. 8
Publikováno v:
International Journal of Computer Applications. 129:37-44
Fuzzy time series techniques are more suitable than traditional time series techniques in forecasting problems with linguistic values. Two shortcomings of existing fuzzy time series forecasting techniques are they lack persuasiveness in dealing with