REINFORCEMENT LEARNING BASED SECURE EDGE ENABLED MULTI TASK SCHEDULING MODEL FOR INTERNET OF EVERYTHING APPLICATIONS

Reinforcement learning based Secure edge enabled multi task scheduling model for internet of everything applications

Abstract The fast growth of the Internet of Everything (IoE) has resulted in an exponential rise in network data, increasing the demand for distributed computing.Data collection and management with job scheduling using wireless sensor networks are considered essential requirements of the IoE environment; however, security issues over data schedulin

read more

Extraction of Urban Built-Up Area Based on Deep Learning and Multi-Sources Data Fusion—The Application of an Emerging Technology in Urban Planning

With the rapid expansion of urban built-up areas in recent years, glitter foam vellen action it has become particularly urgent to develop a fast, accurate and popularized urban built-up area extraction method system.As the direct copyright of urban regional relationship, urban built-up area is an important reference to judge the level of urban deve

read more