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ABox abduction in ALC using a DL tableau

Author: Halland, K ; Britz, K Date: Oct 2012 The 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
Acoustic modelling of Sepedi affricates for ASR

Author: Modipa, T ; Davel, M ; De Wet, Febe Date: Oct 2010 Automatic 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
AI and precision oncology in clinical cancer genomics: From prevention to targeted cancer therapies-an outcomes based patient care

Author: Zodwa, Dlamini, Z ; Skepu, Amanda ; Kim, N ; Mkhabele, M ; Khanyile, R ; Molefi, T ; Mbatha, S ; Setlai, B ; Mulaudzi, T ; Mabongo, M Date: May 2022 Precision medicine is the personalization of medicine to suit a specific group of people or even an individual patient, based on genetic or molecular profiling. This can be done using genomic, transcriptomic, epigenomic or proteomic information. ... Read more
Application of artificial intelligence (AI) methods for designing and analysis of reconfigurable cellular manufacturing system (RCMS)

Author: Xing, B ; Nelwamondo, Fulufhelo V ; Battle, K ; Gao, W ; Marwala, T Date: Dec 2009 This 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
Artificial intelligence-driven intrusion detection in software-defined wireless sensor networks: Towards secure IoT-enabled healthcare systems

Author: Umba, SMW ; Abu-Mahfouz, Adnan MI ; Ramotsoela, D Date: Apr 2022 Wireless 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
Augmented reality technology: A systematic review on gaming strategy for medication adherence

Author: Adetunji, RO ; Strydom, MA ; Herselman, Martha E ; Botha, Adèle Date: Oct 2022 As 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
Behavioural domain knowledge transfer for autonomous agents

Author: Rosman, Benjamin S Date: Nov 2014 An 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
The contribution of high-performance computing and modelling for industrial development

Author: Sithole, Happy M ; Ubbink, Onno Date: Oct 2017 This 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
CSIR Nyendaweb: embedded measuring instrument of the CSIR ITS Lab® collaboratory

Author: Labuschagne, FJJ ; Bello, O Date: May 2009 The 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
‘Data Poisoning’ – Achilles heel of cyber threat intelligence systems

Author: Mahlangu, Thabo V ; January, Sinethemba ; Mashiane, Charmaine T ; Dlamini, Thandokuhle M ; Ngobeni, Sipho J ; Ruxwana, Lennox N Date: Feb 2019 In the cyberspace, system defenders might have an idea of their own cybersecurity defense systems, but they surely have a partial view of the cyberspace battlefield and almost zero knowledge of the attackers. Evidently, the arm's race between ... Read more
Defeasible inheritance-based description logics

Author: Casini, G ; Straccia, U Date: 2013 Defeasible 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
A defeasible reasoning approach for description logic ontologies

Author: Moodley, K ; Meyer, T ; Varzinczak, IJ Date: Oct 2012 Classical 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
Deploying artificial intelligence in the wireless infrastructure: The challenges ahead

Author: Vázquez, MA ; Pallois, JP ; Debbah, M ; Masouros, C ; Kenyon, T ; Deng, Y ; Mekuria, Fisseha ; Peres-Neira, A ; Erfanian, J Date: Sep 2019 The adoption of artificial intelligence (AI) techniques entails a substantial change in the wireless ecosystem where data as well as their owners become crucial. As a result, the roll out of AI techniques in wireless systems raises a plethora ... Read more
Development of a graphical user interface as a learning tool for artificial intelligence

Author: Botha, Natasha ; Marais, Stephen T Date: Nov 2021 This 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
Emergent future situation awareness: a temporal probabilistic reasoning in the absence of domain experts

Author: Osunmakinde, I ; Bagula, A Date: Apr 2009 Dynamic 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
Fake news and deepfakes: A dangerous threat for 21st century information security

Author: Botha, Johannes G ; Pieterse, Heloise Date: Mar 2020 Fake 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
Feature selection for domain knowledge representation through multitask learning

Author: Rosman, Benjamin S Date: Oct 2014 Representation 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
The fourth industrial revolution in the food industry - Part I: Industry 4.0 technologies

Author: Hassouna, A ; Aït-Kaddour, A ; Abu-Mahfouz, Adnan MI ; Rathod, NB ; Bader, F ; Barba, FJ ; Biancolilloi, A ; Cropotova, J ; Galanakisk, CM ; Jambrak, AR Date: Feb 2022 Climate change, the growth in world population, high levels of food waste and food loss, and the risk of new disease or pandemic outbreaks are examples of the many challenges that threaten future food sustainability and the security of the ... Read more
Guest editorial: Sustainable and intelligent precision agriculture

Author: Abu-Mahfouz, Adnan MI Date: Jun 2021 UMAN 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
Horn belief change: A contraction core

Author: Booth, R ; Meyer, T ; Varzinczak, I ; Wassermann, R Date: Aug 2010 The 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

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