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