Browsing Research Articles (Computer Science) by Title

Browsing Research Articles (Computer Science) by Title

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  • Taxonomy of challenges for digital forensics 
    Karie, Nickson M.; Venter, H.S. (Hein) (Wiley, 2015-07)
    Since its inception, over a decade ago, the field of digital forensics has faced numerous challenges. Despite different researchers and digital forensic practitioners having studied and analysed various known digital ...
  • Team trails, trials and tribulations - rigorously reckoning with requirements 
    Pieterse, Vreda; Du Toit, Cecilia Magdalena (Unisa Press, 2008)
    A major challenge to the efficacy of student team learning projects occurs when some members of a group are unable to contribute effectively to the collaborative endeavour due to their academic deficits. A graded benchmark ...
  • Technology-enhanced learning, data sharing, and machine learning challenges in South African education 
    Combrink, Herkulaas MvE; Marivate, Vukosi; Masikisiki, Baphumelele (MDPI, 2023-04-24)
    The objective of this paper was to scope the challenges associated with data-sharing governance for machine learning applications in education research (MLER) within the South African context. Machine learning applications ...
  • Text-line extraction from handwritten document images using GAN 
    Kundu, Soumyadeep; Paul, Sayantan; Bera, Suman Kumar; Abraham, Ajith; Sarkar, Ram (Elsevier, 2020-02)
    Text-line extraction (TLE) from unconstrained handwritten document images is still considered an open research problem. Literature survey reveals that use of various rule-based methods is commonplace in this regard. But ...
  • Three-valued bounded model checking with cause-guided abstraction refinement 
    Timm, Nils; Gruner, Stefan (Elsevier, 2019-04)
    We present a technique for verifying concurrent software systems via SAT-based three-valued bounded model checking. It is based on a direct transfer of the system to be analysed and a temporal logic property into a ...
  • Time series forecasting using neural networks : are recurrent connections necessary? 
    Abdulkarim, Salihu Aish; Engelbrecht, Andries P. (Springer, 2019-12)
    Artificial neural networks (NNs) are widely used in modeling and forecasting time series. Since most practical time series are non-stationary, NN forecasters are often implemented using recurrent/delayed connections to ...
  • A tool for interactive visualization of distributed algorithms 
    Gruner, Stefan; Mosbah, Mohamed; Bauderon, Michel (2001)
    We present a tool for the visualization of distributed computations. Special attention is payed to certain distributed algorithms which have been coded as rewriting systems. In order to study the behaviour of algorithms ...
  • Toward a general ontology for digital forensic disciplines 
    Karie, Nickson M.; Venter, H.S. (Hein) (Wiley-Blackwell, 2014-09)
    Ontologies are widely used in different disciplines as a technique for representing and reasoning about domain knowledge. However, despite the widespread ontology-related research activities and applications in different ...
  • Toward the visual understanding of computing curricula 
    Takada, Shingo; Cuadros-Vargas, Ernesto; Impagliazzo, John; Gordon, Steven; Marshall, Linda; Topi, Heikki; Van der Veer, Gerrit; Waguespack, Leslie (Springer, 2020-09)
    Various computing subdisciplines, such as computer science and software engineering, each have their own curricular guidelines. They can be very difficult to understand and compare for people such as prospective students, ...
  • Towards a digital policing in developing nations : the Nigerian context 
    Ismaila, Idris.; Legbo, Victor Y.; Ikuesan, Adeyemi Richard; Imavah, Shaka A.; Mohammad, Abdullahi B.; Abduldayan, Fatimah J.; Baba, Meshach. (Blue Eyes Intelligence Engineering and Sciences Publication, 2019-05)
    Technology-assisted living is a growing trend in most developing nations, particularly for young-aged demographic countries, as it presents a platform for personal development and knowledge management. However, this ...
  • Towards a generalised metaheuristic model for continuous optimisation problems 
    Cruz-Duarte, Jorge M.; Ortiz-Bayliss, Jose C.; Amaya, Ivan; Shi, Yong; Terashima-Marin, Hugo; Pillay, Nelishia (MDPI, 2020-11-17)
    Metaheuristics have become a widely used approach for solving a variety of practical problems. The literature is full of diverse metaheuristics based on outstanding ideas and with proven excellent capabilities. Nonetheless, ...
  • Towards a generic DSL for automated marking systems 
    Solms, Fritz; Pieterse, Vreda (Springer, 2016-10)
    The automated static and dynamic assessment of programs makes it practical to increase the learning opportunities of large student classes through the regular assessment of programming assignments. Automatic assessments ...
  • Towards a philosophy of software development : 40 years after the birth of software engineering 
    Northover, Mandy; Kourie, Derrick G.; Boake, Andrew B.; Gruner, Stefan; Northover, Alan (Springer, 2008-08)
    Over the past four decades, software engineering has emerged as a discipline in its own right, though it has roots both in computer science and in classical engineering. Its philosophical foundations and premises are not ...
  • Training feedforward neural networks with dynamic particle swarm optimisation 
    Rakitianskaia, A.S. (Anastassia Sergeevna); Engelbrecht, Andries P. (Springer, 2012-09)
    Particle swarm optimisation has been successfully applied to train feedforward neural networks in static environments.Many real-world problems to which neural networks are applied are dynamic in the sense that the ...
  • Training multi-agent teams from zero knowledge with the competitive coevolutionary team-based particle swarm optimiser 
    Scheepers, Christiaan; Engelbrecht, Andries P. (Springer, 2016-02)
    A new competitive coevolutionary team-based particle swarm optimiser (CCPSO(t)) algorithm is developed to train multi-agent teams from zero knowledge. The CCPSO(t) algorithm is applied to train a team of agents to play ...
  • Uncovering identities: a study into VPN tunnel fingerprinting 
    Izadinia, Vafa Dario; Kourie, Derrick G.; Eloff, Jan H.P. (Elsevier, 2006)
    Operating System fingerprinting is a reconnaissance method which can be used by attackers or forensic investigators. It identifies a system's identity by observing its responses to targeted probes, or by listening on a ...
  • Understanding issues and challenges of DFR implementation in SDN platform 
    Munkhondya, Howard; Ikuesan, Richard Adeyemi; Singh, Avinash; Venter, H.S. (Hein) (Elsevier, 2023)
    Software-Defined Networking (SDN) is an evolutionary networking paradigm that offers simplified and agile network configuration and management capabilities. However, embracing this new and futuristic paradigm requires the ...
  • Unsupervised discovery of relations for analysis of textual data 
    Louis, A.L.; Engelbrecht, Andries P. (Elsevier, 2011-04)
    This paper addresses the problem of analysing textual data for evidence discovery.A novel framework in which to perform evidence discovery is proposed in order to reduce the quantity of data to be analysed, aid the analysts’ ...
  • URDAD as a semi-formal approach to analysis and design 
    Solms, Fritz; Loubser, Dawid (Springer, 2010-01)
    The Use Case, Responsibility Driven Analysis and Design (URDAD) methodology is a methodology for technology neutral design generating the Platform Independent Model of the Object Management Group’s Model Driven Architecture. ...
  • Use of available data to inform the Covid-19 outbreak in South Africa : a case study 
    Marivate, Vukosi; Combrink, Herkulaas MvE (Committee on Data for Science and Technology (CODATA), 2020-05)
    The coronavirus disease (COVID-19), caused by the SARS-CoV-2 virus, was declared a pandemic by the World Health Organization (WHO) in February 2020. Currently, there are no vaccines or treatments that have been approved ...