...Saumyaranjan Sahoo; Satish Kumar; Mohammad Zoynul Abedin; Weng Marc Lim; Suresh Kumar Jakhar Purpose Deep learning (DL) technologies assist manufacturers to manage their business operations. This research aims to present state-of-the-art insights on the trends and ways forward for DL applications...

... of the traditional financial management model are analyzed under the background of big data analysis. The big data analytic technology is employed to extract financial big data information and establish an efficient corporate financial management model. Second, the deep learning (DL) algorithm is applied...

... task. The study used customized methods of deep learning models to aid in the accurate classification of emotions and sentiments. Design/methodology/approach The present study presents affective computing model using both text and image data. The text-based affective computing was conducted on four...

...-performing CCs. In this study, deep learning, linear regression and support vector regression (SVR) are used to predict CC prices. The sentiment of some mega-events is also used to enhance the performance of these models. Findings The results show that models of business intelligence such as deep...

... potential, but they require a lot of data and complex architectures, which are not adequate for old low-power hardware. In recent years, with the increasing ability and performance of IT systems, new techniques for visual classification based on deep learning achieved superior performance over...

... as to sophisticated online attacks such as phishing. The global impact of phishing attacks will continue to intensify, and thus, a more efficient phishing detection method is required to protect online user activities. To address this need, this study focussed on the design and development of a deep learning-based...