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Zablon Akoko Mbero
Zablon Akoko Mbero
Senior Lecturer, University of Botswana
Verified email at ub.ac.bw
Title
Cited by
Cited by
Year
Computing knowledge and skills demand: A content analysis of job adverts in Botswana
P Motlogelwa, ZA Mbero, Y Ayalew, TZ Nkgau, A Masizana-Katongo
The Science and Information Organization, http://thesai. org/Publication …, 2011
182011
Network performance analysis of the television white space (TVWS) connectivity for telemedicine: A case for Botswana
K Ndlovu, ZA Mbero, CL Kovarik, A Patel
2017 IEEE AFRICON, 542-547, 2017
122017
Information Technology (IT) Knowledge Management system stage model: A proposal for today's workplace
EU Okike, ZA Mbero
International Journal of Computer Science Issues 12 (5), 193-202, 2015
72015
Sensitivity Analysis of Coffee Leaf Rust Disease using Three Deep Learning Algorithms
DA Lyimo, VL Narasimhan, ZA Mbero
2021 IEEE AFRICON, IEEE xplore, 1-6, 2021
32021
Internet of Things (IoT): Their Ethics and Privacy Concerns
VL Narasimhan, ZA Mbero
ICT and Data Sciences, 23-37, 2022
22022
Bridging the Digital Divide:-A Myth or Reality?
ZA Mbero, DS Asare
COMPUSOFT, An Int. J. Adv. Comput. Technol. 2 (VI), 159, 2013
22013
Sensitivity Analysis of Coronary Heart Disease using Two Deep Learning Algorithms CNN & RNN
MJ Nwonye, VL Narasimhan, ZA Mbero
2021 IST-Africa Conference (IST-Africa),, 1-10, 2021
12021
Sensitivity analysis of a multilayer perceptron network for cervical cancer risk classification
EAW Budu, VL Narasimhan, ZA Mbero
Data Science and Security: Proceedings of IDSCS 2021, 80-88, 2021
12021
Experimental Investigation on the Analysis of Three Data Imputation Methods for Cervical Cancer Risk Prediction Algorithms
BE AW, VL Narasimhan, ZA Mbero
2021 IST-Africa Conference (IST-Africa), 1-8, 2021
2021
Coronary heart disease analysis using two deep learning algorithms, CNN and RNN, and their sensitivity analyses
MJ Nwonye, VL Narasimhan, ZA Mbero
Deep Learning for Personalized Healthcare Services 7, 205, 2021
2021
Evolutionary Production Planning and Finite Capacity Scheduling
ZA Mbero, HO Nyongesa
OPTIMIZATION OF FINITE CAPACITY SCHEDULING BASED ON AN EVOLUTIONARY APPROACH
HO Nyongesa, S Maleki-dizaji, ZA Mbero
Proceedings of the Second IASTED Africa Conference 603 (058), 116, 0
PERTURBATION ANALYSIS OF TWO DEEP LEARNING ALGORITHMS FOR CERVICAL CANCER RISK CLASSIFICATION
EAW Budu, VL Narasimhan, ZA Mbero
Experiences in teaching very large first year programming class
SD Asare, ZA Mbero
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