This paper explores the funding trends, topical themes, and notable gaps in global public
research funding across the areas of energy, climate change, transport, and industrial …

Abstract Machine learning (ML) models have gained significant attention in a variety of
applications, from computer vision to natural language processing, and are almost always …

Communication in industrial wireless networks necessitates reliability and precision.
Besides, the existence of interference or traffic in the network must not affect the estimated …

A method for guaranteeing the high standard of software as a whole is quality assurance.
Software products utilised for data analytics are distinct from more conventional ones …

The advancements in the technology landscape and software development in recent years
mandate paying attention to Software Quality Assurance (SQA) because it is becoming …

The increasing integration of AI software into various aspects of our daily lives has amplified
the importance of evaluating the quality of these intelligent systems. The rapid proliferation …

There are many parts of software development and deployment that have been transformed
by cloud computing, one of which is quality assurance (QA). The use of cloud computing into …

Big data management is a key enabling factor for enterprises that want to compete in the
global market. Data coming from enterprise production processes, if properly analyzed, can …

Context-The exponential growth of data is becoming a significant concern. Managing this
data has become incredibly challenging, especially when dealing with various sources in …

In this time the big data became an important part of all areas, it can be used in multiple
industrials such as banking, education, government, networking, energy, health care, etc …