Machine learning, artificial intelligence and its learning, adaption paradigms are providing an effective solution in engineering applications. It encompasses artificial neural network, reasoning, evolutionary algorithms, artificial immune systems, DNA computing, and quantum computing, among others. These techniques will be more helpful to human intelligence for handling uncertainty and subjective vagueness in decision making process. The new frontier research era development of machine learning and artificial intelligence paradigms with reference to data analytics and optimization has played a significant role in various research streams. Consequently, the fast developments of computer science research have raised the need for in-depth convergence of machine learning and artificial intelligence computing paradigms. Moreover, applying machine learning and artificial intelligence system for data analytics and engineering applications is feasible and sound.
The aim of this special issue is to integrate machine learning and artificial intelligence computing paradigms, advanced data analytics, and optimization opportunities to bring more awareness on applicability and usefulness of various engineering applications. Further, it is imperative to note that machine learning and artificial intelligence computing paradigms and its prediction, optimization techniques has not been adequately investigated from the perspective of bio-medical engineering and its related research issues. Furthermore, there are many intertwined noteworthy issues (bio-medicine composition, medical imaging modalities, biologically inspired learning and adaption in self-configuration of network services etc) that need to be addressed in the context of machine learning and artificial intelligence system. Obviously, these challenges are creating immense opportunities for researchers.
Hence, primary aim of this special issue is to disseminate the application of machine learning and artificial intelligence approaches/models and its related branches such as evolutionary computation, neural networks, artificial immune systems, swarm intelligence, and so on for various engineering systems. We cordially invite investigators to contribute their original research articles, with an emphasis on real-life applications, as well as review articles that will stimulate further activities in this area and improve our understanding of the key scientific problems.