… Machine Learning (ML) and Data Science community are striving hard to improve the … ,
we propose a Machine Learning model that can be run continuously on Cloud Data Centers (…

… and diversity of the cloud environment, most cloud services, … resource consumption and cloud
application efficiency. Based … also subjected to various machine learning models to find the …

… The present work is based upon two main fields of research, Machine Learning and Edge
Cloud Computing, and builds on existing work in the field of model-based quality inspection in …

… (SLAs) in cloud environments. This research paper delves into the application of machine
learning (ML) algorithms for dynamic resource allocation in cloud computing. We explore …

… We believe that a combination of traditional security systems with machine learning techniques
can provide a new intrusion protection system that is meaningfully and mathematically …

… History of Big Data has demonstrated that the most cost effective way of performing BDA
is to employ Machine Learning (ML) on the Cloud Computing (CC) based infrastructure or …

… This chapter shows a concise review on AI and its different developing applications
based on Cloud computing and machine learning (ML) alongside constant precedents. A …

… We are using machine learning and Neural Networks discussed in this survey paper to
mitigate security & performance issues in cloud computing environment when these networks at …

… and cloud computing has become increasingly vital in harnessing the potential of machine
learning (… relationship between data engineering and cloud computing, elucidating how their …

… machine learning algorithms can be applied for cloud computing threat detection, we propose
the cloud computing … based on the feasibility of machine learning algorithms to detect them…