Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Fatsuma Jauro"'
Autor:
Fatsuma Jauro, Abdulsalam Ya'u Gital, Usman Ali Abdullahi, Aminu Onimisi Abdulsalami, Mohammed Abdullahi, Adamu Abubakar Ibrahim, Haruna Chiroma
Publikováno v:
Intelligent Systems with Applications, Vol 22, Iss , Pp 200349- (2024)
Convolutional Neural Networks (ConvNets) have demonstrated impressive capabilities in image classification; however, the manual creation of these models is a labor-intensive and time-consuming endeavor due to their inherent complexity. This research
Externí odkaz:
https://doaj.org/article/d15227aba8d846f595baa8ee8e0416a8
Publikováno v:
FUOYE Journal of Engineering and Technology. 6
Medical industry contains a large amount of sensitive data that must be evaluated in order to get insight into records. The nonlinearity, non-normality, correlation structures and complicated diabetic medical records, on the other hand, makes accurat
Autor:
Fatsuma Jauro, Abdulsalam Ya'u Gital, Aminu Onimisi Abdulsalami, Mohammed Abdullahi, Fatima Umar Zambuk, Hafsat Suleiman Jalo, Mubarak Almutairi, Haruna Chiroma
Publikováno v:
2021 IEEE Mysore Sub Section International Conference (MysuruCon).
Autor:
Ali Muhammad Usman, Haruna Chiroma, Julius Olatunji Okesola, Aishatu Yahaya Umar, Fatima Shittu, Lubna A. Gabralla, Awodele Oludele, Fatsuma Jauro, Kayode S. Adewole, Emmanuel Gbenga Dada
Publikováno v:
International Conference on Emerging Applications and Technologies for Industry 4.0 (EATI’2020) ISBN: 9783030802158
The prediction of protein structure has a major role in drugs design and network pharmacology. However, complexity of the protein structure, time consumption and expensive cost incurred by the state-of-the-art methods of predicting protein structure
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e811107379ed44b3310061e5995e58b4
https://doi.org/10.1007/978-3-030-80216-5_19
https://doi.org/10.1007/978-3-030-80216-5_19
Autor:
Haruna Chiroma, Fatsuma Jauro, Liyana Shuib, Absalom E. Ezugwu, Idris Nasir Abdullahi, Mohammed Ali Al-Garadi
Background and ObjectiveThe COVID-19 pandemic has caused severe mortality across the globe with the USA as the current epicenter, although the initial outbreak was in Wuhan, China. Many studies successfully applied machine learning to fight the COVID
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::94e9a9f1295e409571e37e23a33f413f
https://doi.org/10.1101/2020.11.04.20225698
https://doi.org/10.1101/2020.11.04.20225698
Publikováno v:
2019 4th International Conference on Electrical, Electronics, Communication, Computer Technologies and Optimization Techniques (ICEECCOT).
The success behind Google Search Engine is PageRank algorithm. Many pagerank algorithms exist in the literature for ranking web pages. However, determining the optimum pagerank algorithm is an optimization problem. In this paper, we evaluated three I
Autor:
Abdulsalam Ya'u Gital, Jemal H. Abawajy, Fatsuma Jauro, Mubarak Almutairi, Haruna Chiroma, Shafi’i Muhammad Abdulhamid
Publikováno v:
Applied Soft Computing. 96:106582
The challenges of the conventional cloud computing paradigms motivated the emergence of the next generation cloud computing architectures. The emerging cloud computing architectures generate voluminous amount of data that are beyond the capability of
Publikováno v:
International Journal of Computer Applications. 94:1-7
With the semantic web, data becomes machine-readable and ontologies define the data. Ontologies in any domain are heterogeneous due to rapid increase in ontology development and differences in views of developers. Agents can fully understand the data
Predicting Child Delivery Mode Using Data Mining by Considering Maternal and Fetal Health Conditions
Publikováno v:
Science Forum (Journal of Pure and Applied Sciences). 18:31