Bhekisipho Twala

ORCID

Publication Activity (10 Years)

Years Active: 2005-2024
Publications (10 Years): 30

Top Venues

Open University, Milton Keynes, UK (PHD)

Education History

Open University, Milton Keynes, UK

PHD

Publications

G. Gopichand, T. Sarath, Ankur Dumka, Himanshu Rai Goyal, Rajesh Singh, Anita Gehlot, Lovi Raj Gupta, Amit Kumar Thakur, Neeraj Priyadarshi, Bhekisipho Twala
Use of IoT sensor devices for efficient management of healthcare systems: a review. Discov. Internet Things 4 (1) (2024)
Sibusiso Reuben Bakana, Yongfei Zhang, Bhekisipho Twala
WildARe-YOLO: A lightweight and efficient wild animal recognition model. Ecol. Informatics 80 (2024)
Gokul Chandrasekaran, Neelam Sanjeev Kumar, Karthikeyan Panjappagounder Rajamanickam, Vanchinathan Kumarasamy, Neeraj Priyadarshi, Bhekisipho Twala
Test Scheduling and Test Time Minimization of System-on-Chip Using Modified BAT Algorithm. IEEE Access 10 (2022)
Teddy Lekhuleni, Bhekisipho Twala
Distributed Optimal Placement Generators in a Medium Voltage Redial Feeder. Symmetry 14 (8) (2022)
Rajesh Singh, Shaik Vaseem Akram, Anita Gehlot, Dharam Buddhi, Neeraj Priyadarshi, Bhekisipho Twala
Energy System 4.0: Digitalization of the Energy Sector with Inclination towards Sustainability. Sensors 22 (17) (2022)
Bhekisipho Twala, Eamon Molloy
On Effectively Predicting Autism Spectrum Disorder Using an Ensemble of Classifiers. CoRR (2022)
Peter O. Olukanmi, Fulufhelo V. Nelwamondo, Tshilidzi Marwala, Bhekisipho Twala
Automatic detection of outliers and the number of clusters in k-means clustering via Chebyshev-type inequalities. Neural Comput. Appl. 34 (8) (2022)
Innocent Sizo Duma, Bhekisipho Twala
Multivariate Short Term Load Forecasting Strategy: Application to Anomalous Days of ISO New England Data. IJCCI (2021)
Eustace M. Dogo, Nnamdi I. Nwulu, Bhekisipho Twala, Clinton Aigbavboa
Accessing Imbalance Learning Using Dynamic Selection Approach in Water Quality Anomaly Detection. Symmetry 13 (5) (2021)
Sibusiso Reuben Bakana, Yongfei Zhang, Bhekisipho Twala
Mitigating Wild Animals Poaching Through State-of-the-art Multimedia Data Mining Techniques: A Review. IPMV (2020)
Bhekisipho Twala, Raj Pillay, Ramapulana Nkoana
Classifying Incomplete Vectors using Decision Trees. IJCCI (2020)
Eustace M. Dogo, Nnamdi I. Nwulu, Bhekisipho Twala, Clinton Ohis Aigbavboa
Empirical Comparison of Approaches for Mitigating Effects of Class Imbalances in Water Quality Anomaly Detection. IEEE Access 8 (2020)
Mlungisi Duma, Bhekisipho Twala
Sparseness reduction in collaborative filtering using a nearest neighbour artificial immune system with genetic algorithms. Expert Syst. Appl. 132 (2019)
Sibonelo Motepe, Ali N. Hasan, Bhekisipho Twala, Riaan Stopforth
Effective load forecasting for large power consuming industrial customers using long short-term memory recurrent neural networks. J. Intell. Fuzzy Syst. 37 (6) (2019)
Matsilele Mabaso, Daniel Withey, Bhekisipho Twala
Spot Detection in Microscopy Images using Convolutional Neural Network with Sliding-Window Approach. BIOIMAGING (2018)
Hendrick Musawenkosi Langa, Bhekisipho Twala
Modeling the Student Success or Failure in Engineering at VUT Using the Date Band Algorithm. Res. Comput. Sci. 147 (4) (2018)
Matsilele Mabaso, Daniel Withey, Bhekisipho Twala
A Convolutional Neural Network for Spot Detection in Microscopy Images. BIOSTEC (Selected Papers) (2018)
Mlungisi Duma, Bhekisipho Twala
Optimising latent features using artificial immune system in collaborative filtering for recommender systems. Appl. Soft Comput. 71 (2018)
Collins Leke, Alain Richard Ndjiongue, Bhekisipho Twala, Tshilidzi Marwala
A Deep Learning-Cuckoo Search Method for Missing Data Estimation in High-Dimensional Datasets. ICSI (1) (2017)
Wesley Doorsamy, Mbika Muteba, Bhekisipho Twala, Dan Valentin Nicolae
Investigation into effects of a novel rotor cut-off design for synchronous reluctance machines. ISIE (2017)
Stephen Obakeng Moepya, Fulufhelo V. Nelwamondo, Bhekisipho Twala
Increasing the Detection of Minority Class Instances in Financial Statement Fraud. ACIIDS (2) (2017)
Bhekisipho Twala
When Partly Missing Data Matters in Software Effort Development Prediction. J. Adv. Comput. Intell. Intell. Informatics 21 (5) (2017)
Adebayo Oluwaseun Adedayo, Bhekisipho Twala
QoS functionality in software defined network. ICTC (2017)
Samuel Nlend, Theo G. Swart, Bhekisipho Twala
An access optimization approach for FFH-OCDMA system's fiber Bragg gratings encoder. AFRICON (2017)
Esrom Mahlatsi Malatji, Bhekisipho Twala, Nhlanhla Mbuli
Optimal placement model of multi-type FACTS devices in power system networks on a limited budget. AFRICON (2017)
Collins Leke, Alain Richard Ndjiongue, Bhekisipho Twala, Tshilidzi Marwala
Deep learning-bat high-dimensional missing data estimator. SMC (2017)
Hippolyte Djonon Tsague, Bhekisipho Twala
Investigation of carrier Mobility degradation effects on MOSFET Leakage simulations. Int. J. Comput. 15 (2016)
Thembinkosi Nkonyana, Bhekisipho Twala
An Empirical Evaluation of Machine Learning Algorithms for Image Classification. ICSI (2) (2016)
Matsilele Mabaso, Daniel Withey, Bhekisipho Twala
A Framework for Creating Realistic Synthetic Fluorescence Microscopy Image Sequences. BIOIMAGING (2016)
Ahmed Ali, Ilyes Boulkaibet, Bhekisipho Twala, Tshilidzi Marwala
Hybrid optimization algorithm to the problem of Distributed Generation power losses. SMC (2016)
Ali N. Hasan, Bhekisipho Twala
Improving single classifiers prediction accuracy for underground water pump station in a gold mine using ensemble techniques. EUROCON (2015)
Stephen O. Moepya, Sharat S. Akhoury, Fulufhelo V. Nelwamondo, Bhekisipho Twala
Measuring the Impact of Imputation in Financial Fraud. ICCCI (2) (2015)
Collins Leke, Bhekisipho Twala, Tshilidzi Marwala
Missing Data Prediction and Classification: The Use of Auto-Associative Neural Networks and Optimization Algorithms. CoRR (2014)
Ali N. Hasan, Bhekisipho Twala, Tshilidzi Marwala
Moving towards accurate monitoring and prediction of gold mine underground dam levels. IJCNN (2014)
Bhekisipho Twala
Extracting grey relational systems from incomplete road traffic accidents data: the case of Gauteng Province in South Africa. Expert Syst. J. Knowl. Eng. 31 (3) (2014)
Lufuno Marwala, Bhekisipho Twala
Forecasting electricity consumption in South Africa: ARMA, neural networks and neuro-fuzzy systems. IJCNN (2014)
Satyakama Paul, Bhekisipho Twala, Tshilidzi Marwala
Modeling after sales customer satisfaction using multinomial logistic regression insights from a South African car company. SMC (2014)
Bhekisipho Twala
Reasoning with Noisy Software Effort Data. Appl. Artif. Intell. 28 (6) (2014)
Collins Leke, Bhekisipho Twala, Tshilidzi Marwala
Modeling of missing data prediction: Computational intelligence and optimization algorithms. SMC (2014)
Ali N. Hasan, Bhekisipho Twala, Tshilidzi Marwala
Underground water dam levels and energy consumption prediction using computational intelligence techniques. CIVEMSA (2014)
Innocent Sizo Duma, Bhekisipho Twala, Tshilidzi Marwala
Predictive modeling for default risk using a multilayered feedforward neural network with Bayesian regularization. IJCNN (2013)
Motena Mapesela, Bhekisipho Twala
Target tracking using multiple classifier systems and statistical process control. AFRICON (2013)
Lufuno Marwala, Bhekisipho Twala
Univariate Modelling of Electricity Consumption in South Africa: Neural Networks and Neuro-fuzzy Systems. SMC (2013)
Mlungisi Duma, Tshilidzi Marwala, Bhekisipho Twala, Fulufhelo V. Nelwamondo
Partial imputation of unseen records to improve classification using a hybrid multi-layered artificial immune system and genetic algorithm. Appl. Soft Comput. 13 (12) (2013)
Bhekisipho Twala, Fisseha Mekuria
Ensemble multisensor data using state-of-the-art classification methods. AFRICON (2013)
Bhekisipho Twala
Impact of noise on credit risk prediction: Does data quality really matter? Intell. Data Anal. 17 (6) (2013)
Ali N. Hasan, Bhekisipho Twala, Tshilidzi Marwala
Predicting mine dam levels and energy consumption using artificial intelligence methods. CIES (2013)
Mlungisi Duma, Bhekisipho Twala, Fulufhelo V. Nelwamondo, Tshilidzi Marwala
Predictive Modeling with Missing Data using an Automatic Relevance Determination Ensemble: a Comparative Study. Appl. Artif. Intell. 26 (10) (2012)
Mlungisi Duma, Bhekisipho Twala, Tshilidzi Marwala, Fulufhelo Vincent Nelwamondo
Classification with missing data using multi-layered artificial immune systems. IEEE Congress on Evolutionary Computation (2012)
Bhekisipho Twala
Corrigendum to "Multiple classifier application to credit risk assessment" [Expert Systems with Applications 37 (4) (2010) 3326-3336]. Expert Syst. Appl. 38 (6) (2011)
Mlungisi Duma, Bhekisipho Twala, Tshilidzi Marwala
Improving the performance of the ripper in insurance risk classification : A comparitive study using feature selection CoRR (2011)
Mlungisi Duma, Bhekisipho Twala, Tshilidzi Marwala, Fulufhelo V. Nelwamondo
Improving the Performance of the Support Vector Machine in Insurance Risk Classification - A Comparitive Study. IJCCI (NCTA) (2011)
Mlungisi Duma, Bhekisipho Twala, Tshilidzi Marwala, Fulufhelo V. Nelwamondo
Improving the Performance of the Ripper in Insurance Risk Classification - A Comparitive Study using Feature Selection. ICINCO (1) (2011)
Ali Hassan, Khmaies Ouahada, Tshilidzi Marwala, Bhekisipho Twala
Optimization of the compressed air-usage in South African mines. AFRICON (2011)
Satyakama Paul, Bhekisipho Twala, Tshilidzi Marwala
Organizational adaptation to Complexity: A study of the South African Insurance Market as a Complex Adaptive System through Statistical Risk Analysis. CoRR (2011)
Bhekisipho Twala, Motee Phorah
Predicting incomplete gene microarray data with the use of supervised learning algorithms. Pattern Recognit. Lett. 31 (13) (2010)
Bhekisipho Twala
Multiple classifier application to credit risk assessment. Expert Syst. Appl. 37 (4) (2010)
Bhekisipho Twala, Michelle Cartwright
Ensemble missing data techniques for software effort prediction. Intell. Data Anal. 14 (3) (2010)
Bhekisipho Twala
Robot execution failure prediction using incomplete data. ROBIO (2009)
Bhekisipho Twala
An Empirical Comparison of Techniques for Handling Incomplete Data Using Decision Trees. Appl. Artif. Intell. 23 (5) (2009)
Bhekisipho Twala, M. C. Jones, David J. Hand
Good methods for coping with missing data in decision trees. Pattern Recognit. Lett. 29 (7) (2008)
Gernot Armin Liebchen, Bhekisipho Twala, Martin J. Shepperd, Michelle Cartwright, Mark Stephens
Filtering, Robust Filtering, Polishing: Techniques for Addressing Quality in Software Data. ESEM (2007)
Bhekisipho Twala, Michelle Cartwright, Martin J. Shepperd
Ensemble of missing data techniques to improve software prediction accuracy. ICSE (2006)
Bhekisipho Twala, Michelle Cartwright, Martin J. Shepperd
Comparison of various methods for handling incomplete data in software engineering databases. ISESE (2005)
Bhekisipho Twala, Michelle Cartwright
Ensemble Imputation Methods for Missing Software Engineering Data. IEEE METRICS (2005)

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Publication Activity (10 Years)

Top Topics

Top Venues

Bhekisipho Twala