Author:Halland, K; Britz, KDate:Oct 2012The formal definition of abduction asks what needs to be added to a knowledge base to enable an observation to be entailed by the knowledge base. ABox abduction in description logics (DLs) asks what ABox statements need to be added to a DL ...Read more
Author:Modipa, T; Davel, M; De Wet, FebeDate:Oct 2010Automatic speech recognition (ASR) systems are increasingly being developed for under-resourced languages, especially for use in multilingual spoken dialogue systems. We investigate different approaches to the acoustic modelling of Sepedi ...Read more
Author:Xing, B; Nelwamondo, Fulufhelo V; Battle, K; Gao, W; Marwala, TDate:Dec 2009This work focuses on the design and control of a novel hybrid manufacturing system: Reconfigurable Cellular Manufacturing System (RCMS) by using Artificial Intelligence (AI) approach. It is hybrid as it combines the advantages of Cellular ...Read more
Author:Umba, SMW; Abu-Mahfouz, Adnan MI; Ramotsoela, DDate:Apr 2022Wireless Sensor Networks (WSNs) are increasingly deployed in Internet of Things (IoT) systems for applications such as smart transportation, telemedicine, smart health monitoring and fall detection systems for the elderly people. Given that ...Read more
Author:Adetunji, RO; Strydom, MA; Herselman, Martha E; Botha, AdèleDate:Oct 2022As global health concerns become more complex, technological intervention is needed to achieve the Sustainable Development Goal. This study explores the use of the internet of things (IoT) and augmented reality (AR) applications for medication ...Read more
Author:Rosman, Benjamin SDate:Nov 2014An agent continuously performing different tasks in the same domain has the opportunity to learn, over the course of its operational lifetime, about the behavioural regularities afforded by the domain. This paper addresses the problem of ...Read more
Author:Sithole, Happy M; Ubbink, OnnoDate:Oct 2017This presentation discusses how high-performance computing (HPC) combined with machine learning and artificial intelligence, present opportunities to non-traditional
industries. It showcases how the CSIR’s renewed focus on industrialisation ...Read more
Author:Labuschagne, FJJ; Bello, ODate:May 2009The paper describes the NyendaWeb technical development concept, the role of NyendaWeb within the ITS Lab collaboratory® as an international ITS R&D platform, and how the inherent, unobtrusive and 24/7 measurement functionality of NyendaWeb ...Read more
Author:Casini, G; Straccia, UDate:2013Defeasible inheritance networks are a non-monotonic framework that deals with hierarchical knowledge. On the other hand, rational closure is acknowledged as a landmark of the preferential approach to non-monotonic reasoning. We will combine ...Read more
Author:Moodley, K; Meyer, T; Varzinczak, IJDate:Oct 2012Classical reasoning for logic-based KR (Knowledge Representation) systems is in general, monotonic. That is, there is an assumption in these systems that there is complete information about a domain. This means that they generally cannot deal ...Read more
Author:Botha, Natasha; Marais, Stephen TDate:Nov 2021This study developed a Graphical User Interface (GUI) aimed at teaching the concepts of Machine Learning (ML) algorithms which form the backbone of Artificial Intelligence (AI). This is done by means of tutorial videos and allowing the student ...Read more
Author:Osunmakinde, I; Bagula, ADate:Apr 2009Dynamic Bayesian networks (DBNs) are temporal probabilistic models for reasoning over time which are rapidly gaining popularity in modern Artificial Intelligence (AI) for planning. A number of Hidden Markov Model (HMM) representations of ...Read more
Author:Botha, Johannes G; Pieterse, HeloiseDate:Mar 2020Fake news, often referred to as junk news or pseudo-news, is a form of yellow journalism or propaganda created with the purpose of distributing deliberate disinformation or false news using traditional print or online social media. Fake news ...Read more
Author:Rosman, Benjamin SDate:Oct 2014Representation learning is a difficult and important problem for autonomous agents. This paper presents an approach to automatic feature selection for a long-lived learning agent, which tackles the trade-off between a sparse feature set which ...Read more
Author:Abu-Mahfouz, Adnan MIDate:Jun 2021UMAN society has experienced three industrial revolutions from mechanization, and electricity to information automation. Every industrial revolution significantly alters the form of agricultural industry from labor-intensive farming, mechanized ...Read more
Author:Booth, R; Meyer, T; Varzinczak, I; Wassermann, RDate:Aug 2010The authors show that Booth et al.’s Horn contraction based on infra-remainder sets corresponds exactly to kernel contraction for belief sets. This result is obtained via a detour through Horn contraction for belief bases, which supports the ...Read more