Deep neural networks (DNNs) achieve state-of-the-art performance in many areas, including
computer vision, system configuration, and question-answering. However, DNNs are …

Context Many engineering organizations are reimplementing and extending deep neural
networks from the research community. We describe this process as deep learning model …

STORET is one method to determine the river water quality, and to classify them into four
classes (very good, good, medium and bad) based on the data of water for each attribute or …

In this paper, non-orthogonal multiple access (NOMA) is designed and implemented for the
fifth generation (5G) of multi-user wireless communication. Field-programmable gate array …

Example-based transformational approaches to automate adaptive maintenance changes
plays an important role in software research. One primary concern of those approaches is …

Legacy systems face issues such as integrating new technology, fulfilling new requirements
in the ever-changing environment, and meeting new user expectations. Due to the old …

Term reengineering refers to improve the quality of the system. Continues maintenance and
aging degrade the performance of the software system. Right approach and methodology …

Software product release often sacrifices quality concerns and produces messy code to
reach the market quickly. At some point, the software becomes difficult to maintain, and …

The accuracy of classification results on mammogram images has a significant role in breast
cancer diagnosis. Therefore, many stages consider finding the model has a high level of …

Organisations can now architect their software application systems so that they run on cloud-
based software environments and make direct use of the advantages that these …