The use of big data in various fields has led to a rapid increase in a wide variety of data
resources, and various data analysis technologies such as standardized data mining and …

This paper surveys the application and development of Artificial Intelligence (AI) in Satellite
Communication (SatCom) and Non-Terrestrial Networks (NTN). We first present a …

Microservice is considered a distributed cloud native approach where a standalone
application is composed of multiple loosely coupled and free-spirited deployable …

The curse of dimensionality, due to lots of network-traffic attributes, has a negative impact on
machine learning algorithms in detecting distributed denial of service (DDoS) attacks. This …

This article applies the machine learning paramount techniques for the early detection and
effective diagnosis of severe Alzheimer's disease (AD). AD is neurodegenerative chronic …

With the rapid advancement in the science domain, the explosion of available data is seen
in recent years. Laboratory instruments are becoming more advanced day by day and are …

To succeed in a Big Data strategy, you have to arm yourself with a wide range of data skills
and best practices. This strategy can result in an impressive asset that can streamline …

The new age of digital growth has marked all fields. This technological evolution has
impacted data flows which have witnessed a rapid expansion over the last decade that …

Distributed denial of service (DDoS) attack detection methods based on the clustering
method are ineffective in detecting attacks correctly. Service interruptions caused by DDoS …

Optimized Auto Encoder on High Dimensional Big Data Reduction: an Analytical Approach
Page 1 Turkish Journal of Computer and Mathematics Education Vol.12 No.14 (2021), 526-537 …