In recent years, numerous studies have successfully implemented machine learning
strategies in a wide range of application areas. Therefore, several different deep learning …

In recent years, a variety of research have effectively applied machine learning approaches
across a broad range of industries. This led to the creation of a large range of deep learning …

In recent years, several researchers have applied machine learning techniques to several
knowledge areas achieving acceptable results. Thus, a considerable number of deep …

Among many factors that influence the success of a software project, the software process
model employed is an essential one. An improper process model will be time consuming …

Context: The software development industry is rapidly adopting machine learning for
transitioning modern day software systems towards highly intelligent and self-learning …

Software evolves and therefore requires an evolving field of Software Engineering. The
evolution of software can be seen on an individual project level through the software life …

Abstract Machine learning techniques, especially deep learning, have achieved remarkable
breakthroughs over the past decade. At present, machine learning applications are …

In 2006, Geoffrey Hinton proposed the concept of training “Deep Neural Networks (DNNs)”
and an improved model training method to break the bottleneck of neural network …

The advancement in technology accelerated and opened availability of various alternatives
to make a choice in every domain. In the era of big data it is a tedious and time consuming …

Service component selection is a core problem in software development process. With an
enormous number of components available, it is often difficult for the developer to select the …