ResearchSpace
→
Browsing by Subject

Browsing by Subject "Neural networks"

Now showing items 1-13 of 13

Cascading neural networks for upper-body gesture recognition

Author: Mangera, R ; Senekal, F ; Nicolls, F Date: 2014 Gesture 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
Data imputation in wireless sensor networks using a machine learning-based virtual sensor

Author: Matusowsky, M ; Ramotsoela, DT ; Abu-Mahfouz, Adnan MI Date: May 2020 Data 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
Default-and-refinement approach to pronunciation prediction

Author: Davel, MH ; Barnard, E Date: Nov 2004 The 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
A dynamic programming approach to missing data estimation using neural networks

Author: Nelwamondo, Fulufhelo V ; Golding, D ; Marwala, T Date: 2013 This 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
The effects of normalisation methods on speech emotion recognition

Author: Sefara, Tshephisho J Date: Nov 2019 Speech 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
Emotional speaker recognition based on machine and deep learning

Author: Sefara, Tshephisho J ; Mokgonyane, TB Date: Nov 2020 Speaker 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
HMM-based speech synthesis system incorporated with language identification for low-resourced languages

Author: Sefara, Tshephisho J ; Mokgonyane, TB ; Manamela, MJ ; Modipa, TI Date: Aug 2019 Text-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
Improved neural network modeling of inverse lens distortion

Author: De Villiers, JP ; Cronje, J ; Nicolls, FC Date: Apr 2011 Inverse 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
An informal road detection neural network for societal impact in developing countries

Author: Fabris-Rotelli, I ; Wannenburg, A ; Maribe, G ; Thiede, R ; Vogel, M ; Coetzee, M ; Sethaelo, K ; Selahle, E ; Debba, Pravesh ; Rautenbach, V Date: May 2022 Roads found in informal settlements arise out of convenience, and are often not recorded or maintained by authorities. This complicates service delivery, sustainable development and crisis mitigation, including management and tracking of ... Read more
Neural network modelling and prediction of the flotation deinking behaviour of industrial paper recycling processes

Author: Pauck, WJ ; Venditti, R ; Pocock, J ; Andrew, J Date: 2014 The 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
Principles of Neuroempiricism and generalization of network topology for health service delivery

Author: Niehaus, E ; Herselman, Martha E ; Babu, AN Date: 2009 Neuroempiricism 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
The use of hyperspectral data for tree species discrimination: Combining binary classifiers

Author: Dastile, X ; Jager, G ; Debba, Pravesh Date: Nov 2010 This presentation assesses tree species diversity in Kruger National Park by using several different types of classification techniques. Read more
Visual surveying platform for the automated detection of road surface distresses

Author: Naidoo, T ; Joubert, D ; Chiwewe, T ; Tyatyantsi, A ; Rancati, B ; Mbizeni, A Date: Mar 2014 Road 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

Now showing items 1-13 of 13

Browse

All of ResearchSpace

Quick Links

Legislation and compliance

General Enquiries

Tel: + 27 12 841 2911
Email: callcentre@csir.co.za

Physical Address
Meiring Naudé Road
Brummeria
Pretoria
South Africa

Postal Address
PO Box 395
Pretoria 0001
South Africa

Social Connect

Resources on this site are free to download and reuse according to associated licensing provision. Please read the terms and conditions of usage of each resource.

Browsing by Subject "Neural networks"

Browsing by Subject "Neural networks"

Browse

All of ResearchSpace

Quick Links

Legislation and compliance

General Enquiries

Social Connect