A Review on the Integration of Deep Learning and Service-Oriented Architecture

Abstract

In recent years, machine learning has been used for data processing and analysis, providing insights to businesses and policymakers. Deep learning technology is promising to further revolutionize this processing leading to better and more accurate results. Current trends in information and communication technology are accelerating widespread use of web services in supporting a service-oriented architecture (SOA) consisting of services, their compositions, interactions, and management. Deep learning approaches can be applied to support the development of SOA-based solutions, leveraging the vast amount of data on web services currently available. On the other hand, SOA has mechanisms that can support the development of distributed, flexible, and reusable infrastructures for the use of deep learning. This paper presents a literature survey and discusses how SOA can be enabled by as well as facilitate the use of deep learning approaches in different types of environments for different levels of users.

Credit Risk Models for Financial Fraud Detection

“…DL has received significant attention in recent years due to its effectiveness in learning complex and non-linear relationships from data (Fantinato et al, 2021;Fior et al, 2017;Li et al, 2020;Zeng et al, 2018). In particular, Fiore et al (2017) trained a generative adversarial network (GAN) to output mimicked minority class examples, which were then merged with training data into an augmented training set to improve the effectiveness of a classifier.…”

A SOA-based unified service framework design and implementation

“…Generally, the Service-Oriented Architecture (SOA) [1] is a software based idea for method design especially for the distributed computing, which mainly emphasizes how to realize the loosely coupled modular combination of abstract services with different granularities through the network in a heterogeneous environment to finally build a complete system [2][3]. Such SOA based framework has been widely used in traditional network services.…”

Improved Equilibrium Optimizer for Short-Term Traffic Flow Prediction

“…The method achieved the operations of shape change, illumination direction changes and super-resolution generation, and improved the sampling efficiency. Fantinato et al investigated the integration of deep learning and service-oriented architecture (SOA) and discussed how SOA can be implemented by deep learning methods in different types of environments for various users (Fantinato et al, 2021).…”