Author:Mangera, R; Senekal, F; Nicolls, FDate:2014Gesture recognition has many applications ranging from health care to entertainment. However for it to be a feasible method of human-computer interaction it is essential that only intentional movements are interpreted and that the system can ...Read more
Author:Matusowsky, M; Ramotsoela, DT; Abu-Mahfouz, Adnan MIDate:May 2020Data integrity in wireless sensor networks (WSN) is very important because incorrect or missing values could result in the system making suboptimal or catastrophic decisions. Data imputation allows for a system to counteract the effect of ...Read more
Author:Davel, MH; Barnard, EDate:Nov 2004The authors define a novel g-to-p prediction algorithm that utilises the concept of a 'default phoneme': a grapheme which is realised as a specific phoneme significantly more often than as any other phoneme. They found that this approach ...Read more
Author:Nelwamondo, Fulufhelo V; Golding, D; Marwala, TDate:2013This paper develops and presents a novel technique for missing data estimation using a combination of dynamic programming, neural networks and genetic algorithms (GA) on suitable subsets of the input data. The method proposed here is well ...Read more
Author:Sefara, Tshephisho JDate:Nov 2019Speech emotion recognition systems require features to be extracted from the speech signal. These features include Time, Frequency, and Cepstral-domain features. To normalise features, it is a challenging task to select an appropriate ...Read more
Author:Sefara, Tshephisho J; Mokgonyane, TBDate:Nov 2020Speaker recognition is a method which recognise a speaker from characteristics of a voice. Speaker recognition technologies have been widely used in many domains. Most speaker recognition systems have been trained on normal clean recordings, ...Read more
Author:Sefara, Tshephisho J; Mokgonyane, TB; Manamela, MJ; Modipa, TIDate:Aug 2019Text-to-speech (TTS) synthesis systems are of benefit towards learning new or foreign languages. These systems are currently available for various major languages but not available for low-resourced languages. Scarcity of these systems may ...Read more
Author:De Villiers, JP; Cronje, J; Nicolls, FCDate:Apr 2011Inverse lens distortion modelling allows one to find the pixel in a distorted image which corresponds to a known point in object space, such as may be produced by a RADAR. This paper extends recent work using neural networks as a compromise ...Read more
Author:Pauck, WJ; Venditti, R; Pocock, J; Andrew, JDate:2014The removal of ink from recovered papers by flotation deinking is considered to be the “heart” of the paper recycling process. Attempts to model the deinking flotation process from first principles has resulted in complex and not readily ...Read more
Author:Niehaus, E; Herselman, Martha E; Babu, ANDate:2009Neuroempiricism describes a strategy to store and process data analogous to the human brain and to derive an adaptive representation by modelling the biological processes. Technical systems often copy biological evolutionary “developments” ...Read more
Author:Dastile, X; Jager, G; Debba, PraveshDate:Nov 2010This presentation assesses tree species diversity in Kruger National Park by using several different types of classification techniques.Read more
Author:Vilakazi, Mla; Olwal, TO; Mfupe, Luzango P; Lysko, Albert ADate:Jan 2024The fifth generation (5G) mobile network has been designed to offer individuals and objects with nearly ubiquitous, ultra-high bandwidth, and low latency access. In heterogeneous wireless networks, the demand for wireless communication devices ...Read more
Author:Naidoo, T; Joubert, D; Chiwewe, T; Tyatyantsi, A; Rancati, B; Mbizeni, ADate:Mar 2014Road distresses, such as potholes and edge cracks, are not only a source of frustration to drivers but also negatively impact the economy due to damage to motor vehicles and costly road repairs. Regular and rapid pavement inspection and ...Read more