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