Author:Butgereit, L; Martinus, Laura JBDate:Aug 2018Tourism is a major contributor to employment in southern Africa and a major contributor to gross domestic products of many southern African countries. One of the major tourist attractions in many southern African countries is the wild animals. ...Read more
Author:Van Eden, Beatrice; Rosman, Benjamin SDate:Jan 2019Robot vision is an interdisciplinary field that deals with how robots can be made to gain high-level understanding from digital images or videos. Understanding an image at the pixel level often does not provide enough information for decision ...Read more
Author:Cebekhulu, Eric; Onumanyi, Adeiza J; Isaac, Sherrin JDate:Feb 2022The use of machine learning (ML) algorithms for power demand and supply prediction is becoming increasingly popular in smart grid systems. Due to the fact that there exist many simple ML algorithms/models in the literature, the question arises ...Read more
Author:Kravitz, J; Matthews, M; Lain, L; Fawcett, S; Bernard, StewartDate:Mar 2021There is currently a scarcity of paired in-situ aquatic optical and biogeophysical data for productive inland waters, which critically hinders our capacity to develop and validate robust retrieval models for Earth Observation applications. ...Read more
Author:Ramotsoela, DT; Hancke, GP; Abu-Mahfouz, Adnan MIDate:Jan 2023The move towards renewable energy and technological advancements in the generation, distribution and transmission of electricity have increased the popularity of microgrids. The popularity of these decentralised applications has coincided ...Read more
Author:Alimi, KOA; Ouahada, K; Abu-Mahfouz, Adnan MI; Rimer, S; Alimi, OADate:Jul 2022The Internet of Things (IoT) is a promising technology that allows numerous devices to be connected for ease of communication. The heterogeneity and ubiquity of the various connected devices, openness to devices in the network, and, importantly, ...Read more
Author:Khumalo, Nosipho N; Oyerinde, O; Mfupe, Luzango PDate:Apr 2020Fog computing has emerged as one of the key building blocks of fifth generation mobile networks (5G) because of its ability to effectively meet the demands of real-time or latency-sensitive applications. To introduce fog in 5G, particularly ...Read more
Author:Sebopelo, R; Isong, B; Gasela, N; Abu-Mahfouz, Adnan MIDate:Nov 2021Despite the advantages of Software-defined networking (SDN) over the traditional networks, SDN is facing several challenges such as security threats and attacks, dominated by a distributed denial of service (DDoS) attacks that target the ...Read more
Author:Moepya, SO; Nelwamondo, Fulufhelo V; Van der Walt, CDate:Apr 2014Auditors face the difficult task of detecting companies that issue manipulated financial statements. In recent years, machine learning methods have provided a feasible solution to this task. This study develops support vector machine (SVM) ...Read more
Author:Jurado-Lasso, FF; Marchegiani, L; Jurado, JF; Abu-Mahfouz, Adnan MI; Fafoutis, XDate:Feb 2022Wireless Sensor Network (WSN), which are enablers of the Internet of Things (IoT) technology, are typically used en-masse in widely physically distributed applications to monitor the dynamic conditions of the environment. They collect raw ...Read more
Author:Schwegmann, Colin P; Kleynhans, Waldo; Salmon, BP; Mdakane, Lizwe W; Meyer, Rory GVDate:Jul 2018Deep Learning has become a common applied technique to improve results in a variety of detection scenarios, including Synthetic Aperture Radar ship detection. One of the most common Deep Learning techniques, Convolutional Neural Networks, ...Read more
Author:Sefara, Tshephisho J; Rangata, Mapitsi RDate:Aug 2023Twitter is one of the microblogging sites with millions of daily users. Broadcast companies use Twitter to share short messages to engage or share opinions about a particular topic or product. With a large number of conversations available ...Read more
Author:Koen, Hildegarde S; Cornelius, Justin C; Oosthuizen, RDate:Jul 2022The advent of the fourth industrial revolution and the need for connectedness have increased both data availability and quality. This data surge can also be seen in the transport and mobility industry. Anything from onboard global positioning ...Read more
Author:Matlou, OG; Abu-Mahfouz, Adnan MIDate:Oct 2017Software Defined Wireless Sensor Network (SDWSN) is realised by infusing Software Defined Network (SDN) model in Wireless Sensor Network (WSN), Reason for that is to overcome the challenges of WSN. Artificial Intelligence (AI) and machine ...Read more
Author:Tesfaye, T; Sithole, Bishop B; Ramjugernath, DDate:Jun 2018Deep Learning has become a common applied technique to improve results in a variety of detection scenarios, including Synthetic Aperture Radar ship detection. One of the most common Deep Learning techniques, Convolutional Neural Networks, ...Read more
Author:Van der Walt, Christiaan M; Barnard, EDate:Feb 2017Estimating the joint probability density function of a dataset is a central task in many machine learning applications. In this work we address the fundamental problem of kernel bandwidth estimation for variable kernel density estimation in ...Read more
Author:Schwegmann, Colin P; Kleynhans, Waldo; Salmon, BP; Mdakane, Lizwe W; Meyer, Rory GVDate:Jul 2016Efficient and effective ship discrimination across multiple Synthetic Aperture Radar sensors is becoming more important as access to SAR data becomes more widespread. A flexible means of separating ships from sea is ideal and can be accomplished ...Read more
Author:Lourens, Roger L; Patra, A; Hassim, Luqmaan; Sima, Faheem; Moodley, Avashlin; Sharma, PDate:Dec 2018We present a conversational model to apprise users with limited access to computational resources about water quality and real-time accessibility for a given location. We used natural language understanding through neural embedding driven ...Read more