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Akademický článek

Empirical Comparison of Approaches for Mitigating Effects of Class Imbalances in Water Quality Anomaly Detection

Autor: Eustace M. Dogo, Nnamdi I. Nwulu, Bhekisipho Twala, Clinton Ohis Aigbavboa

Publikováno v: IEEE Access, Vol 8, Pp 218015-218036 (2020)

Imbalanced class distribution and missing data are two common problems and occurrences in water quality anomaly detection domain. Learning algorithms in an imbalanced dataset can yield an overrated classification accuracy driven by a bias towards the

Externí odkaz: https://doaj.org/article/94e770e8563840d0b1cfb70170a0ca2d

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Akademický článek

On the Relative Impact of Optimizers on Convolutional Neural Networks with Varying Depth and Width for Image Classification

Autor: Eustace M. Dogo, Oluwatobi J. Afolabi, Bhekisipho Twala

Publikováno v: Applied Sciences, Vol 12, Iss 23, p 11976 (2022)

The continued increase in computing resources is one key factor that is allowing deep learning researchers to scale, design and train new and complex convolutional neural network (CNN) architectures in terms of varying width, depth, or both width and

Externí odkaz: https://doaj.org/article/4d04fb37879940c7a01979fcca84cfb8

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Akademický článek

Dataset for a wireless sensor network based drinking-water quality monitoring and notification system

Autor: Mhambi Phila Philadephian Sithole, Nnamdi I. Nwulu, Eustace M. Dogo

Publikováno v: Data in Brief, Vol 27, Iss , Pp - (2019)

This paper presents the collected experimental data for water quality monitoring which was conducted in ten experiments by using five different common sources of water contaminants namely soil, salt, washing powder, chlorine and vinegar and their com

Externí odkaz: https://doaj.org/article/489535c22f144db4be74db19cda17aed

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Akademický článek

Accessing Imbalance Learning Using Dynamic Selection Approach in Water Quality Anomaly Detection

Autor: Eustace M. Dogo, Nnamdi I. Nwulu, Bhekisipho Twala, Clinton Aigbavboa

Publikováno v: Symmetry, Vol 13, Iss 5, p 818 (2021)

Automatic anomaly detection monitoring plays a vital role in water utilities’ distribution systems to reduce the risk posed by unclean water to consumers. One of the major problems with anomaly detection is imbalanced datasets. Dynamic selection te

Externí odkaz: https://doaj.org/article/bfa03e31a5524039be79f41c9e1e9560

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Akademický článek

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Akademický článek

A survey of machine learning methods applied to anomaly detection on drinking-water quality data.

Autor: Dogo, Eustace M.¹ (AUTHOR) eustaced@uj.ac.za, Nwulu, Nnamdi I.² (AUTHOR), Twala, Bhekisipho³ (AUTHOR), Aigbavboa, Clinton⁴ (AUTHOR)

Publikováno v: Urban Water Journal. Mar2019, Vol. 16 Issue 3, p235-248. 14p.

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Elektronická kniha

Shakespeare's Early Comedies

Autor: Eustace M. Tillyard

Of all that has been written recently on Shakespearean comedy much is cross-sectional; much has pursued themes, patterns, images and son on, recurring throughout the sequence of plays. Less has been written about he plays themselves. There are of cou