Data exists in large volume in the modern world, it becomes very useful when decoded
correctly to inform decision making towards tackling real word issues. However, when the …

Conventional infrastructures based on the cloud are not sufficient for the emerging Internet
of Things (IoT) applications requirements. Many big problems are shortcomings, especially …

Big Data filed is an unsettled standard comparing with a traditional database, data mining, or
data warehouse. Stability measure aims to acquire the quality dataset which encourages to …

In this article, we have presented the effective handling of big data using adaptive clustering
and optimization techniques. Initially, heterogeneous data is collected from multiple sources …

Velocity and volume are two important factors that affect the accuracy of streaming data
during the transfer process in Big data applications. This paper presents an Adaptive Fuzzy …

Artificial Intelligence Augmented Software Development Life Cycle is a process for
developing software that incorporates AI techniques and technologies. One aspect of …

Intelligent agents have become increasingly significant in numerous fields including
autonomous systems, robotics, and smart environments. Neural fuzzy logic, an …

Big data is facing many challenges in different aspects, which appear in characteristics such
as: Velocity, Volume, Value and Veracity. Processing and analysis of big data are …

Software failure prediction is an important activity during agile software development as it
can help managers to identify the failure modules. Thus, it can reduce the test time, cost and …

Modern processes will increasingly have a digital counterpart which is an interactive
representation of the physical system integrated into a digital environment. At the heart of …