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Sulaimon Bashir
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2020 – today
- 2020
- [c6]Nwodo Benita Chikodili, Mohammed D. Abdulmalik, Opeyemi Aderiike Abisoye, Sulaimon Adebayo Bashir:
Outlier Detection in Multivariate Time Series Data Using a Fusion of K-Medoid, Standardized Euclidean Distance and Z-Score. ICTA 2020: 259-271 - [c5]Zakari Hassan Mohammed, Ishaq Oyebisi Oyefolahan, Mohammed D. Abdulmalik, Sulaimon Adebayo Bashir:
Identification of Bacterial Leaf Blight and Powdery Mildew Diseases Based on a Combination of Histogram of Oriented Gradient and Local Binary Pattern Features. ICTA 2020: 301-314 - [c4]Ogbuka Mary Kenneth, Sulaimon Adebayo Bashir, Opeyemi Aderiike Abisoye, Abdulmalik Danlami Mohammed:
Face Morphing Attack Detection in the Presence of Post-processed Image Sources Using Neighborhood Component Analysis and Decision Tree Classifier. ICTA 2020: 340-354 - [c3]Blessing Iganya Attah, John Kolo Alhassan, Ishaq Oyebisi Oyefolahan, Sulaimon Adebayo Bashir:
Mobile Application Software Usability Evaluation: Issues, Methods and Future Research Directions. ICTA 2020: 560-573
2010 – 2019
- 2017
- [j2]Sulaimon Adebayo Bashir, Andrei Petrovski, Daniel C. Doolan:
A framework for unsupervised change detection in activity recognition. Int. J. Pervasive Comput. Commun. 13(2): 157-175 (2017) - 2016
- [j1]Sulaimon Bashir, Daniel C. Doolan, Andrei Petrovski:
Clustering and Nearest Neighbour Based Classification Approach for Mobile Activity Recognition. J. Mobile Multimedia 12(1&2): 110-124 (2016) - [c2]Sulaimon Adebayo Bashir, Andrei Petrovski, Daniel C. Doolan:
UDetect: Unsupervised Concept Change Detection for Mobile Activity Recognition. MoMM 2016: 20-27 - 2015
- [c1]Sulaimon Bashir, Daniel C. Doolan, Andrei Petrovski:
ClusterNN: A Hybrid Classification Approach to Mobile Activity Recognition. MoMM 2015: 263-267
Coauthor Index
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