Author:Mgabile, T; Msiza, IS; Dube, EDate:Oct 2012This manuscript presents a supervised machine learning approach in the identification of network attacks on a fingerprint biometric system. To reduce the problem of malicious acts on a biometric system, this manuscript proposes an intrusion ...Read more
Author:Mosola, NN; Dlamini, Thandokuhle M; Blackledge, JM; Eloff, JHP; Venter, HSDate:Sep 2017Cloud computing brings flexible and cost effective services. However, security concerns plague the cloud. Data confidentiality is one of the concerns inhibiting the adoption of cloud computing. This concern stems from various cyberattacks ...Read more
Author:Waseem, KH; Mushtaq, H; Abid, F; Abu-Mahfouz, Adnan MI; Shaikh, A; Turan, M; Rasheed, JDate:Oct 2022Clean air is necessary for leading a healthy life. Many respiratory illnesses have their root in the poor quality of air across regions. Due to the tremendous impact of air quality on people’s lives, it is essential to devise a mechanism ...Read more
Author:Myburgh, HC; Olivier, JCDate:May 2009This work proposes a near-optimal hard output neural network based iterative Maximum Likelihood Sequence Estimation (MLSE) equalizer, based on earlier work by the authors, able to equalize single carrier 4-QAM signals in underwater acoustic ...Read more
Author:Myburgh, HC; Olivier, JCDate:May 2009This work proposes a neural network based iterative Maximum Likelihood Sequence Estimation (MLSE) equalizer, able to equalize signals in M-arry Quadrature Amplitude Modulation (M-QAM) modulated systems in a mobile fading environment with ...Read more
Author:Adams, A; Abu-Mahfouz, Adnan MI; Hancke, GPDate:Nov 2023Transport systems are fundamental to supporting economic growth, and the need for smarter, safer, more efficient and climate neutral transport systems continues to grow. Maintenance and operation of transport infrastructure is expensive and ...Read more
Author:Sefara, Tshephisho J; Zwane, SG; Gama, N; Sibisi, H; Senoamadi, PN; Marivate, VDate:Apr 2021Recent research on the development of machine translation (MT) models has resulted in state-of-the-art performance for many resourced European languages. However, there has been a little focus on applying these MT services to low-resourced ...Read more
Author:Sefara, Tshephisho J; Modupe, AbiodunDate:Nov 2019The impressive improvement in performance obtained using neural networks for automatic speech recognition (ASR) have motivated the application of neural networks to other speech technologies such as speaker, emotion, language, and gender ...Read more