This book gathers selected high-impact articles from the 2nd International Conference on Data Science, Machine Learning & Applications 2020. It highlights the latest developments in the areas of artificial intelligence, machine learning, soft computing, human–computer interaction and various data science and machine learning applications. It brings together scientists and researchers from different universities and industries around the world to showcase a broad range of perspectives, practices and technical expertise.

div="" style="" This book comprises select proceedings of the 46th National Conference on Fluid Mechanics and Fluid Power (FMFP 2019). The contents of this book focus on aerodynamics and flow control, computational fluid dynamics, fluid structure interaction, noise and aero-acoustics, unsteady and pulsating flows, vortex dynamics, nuclear thermal hydraulics, heat transfer in nanofluids, etc. This book serves as a useful reference beneficial to researchers, academicians and students interested in the broad field of mechanics. ^

MACHINES AND MECHANISMS form the backbone of industries, implements in agriculture, space exploration, and various appliances used in our daily lives. This title contains new developments at the core of the science of machines and mechanisms, as well as their applications in various walks of life. The contents represent contributions made by about two hundred researchers, practising engineers, and educators working in the fields of analysis and synthesis of mechanisms, robotics, compliant mechanisms, dynamics and control, design of machines for the industries, rural and agricultural sectors etc. in the 15th National Conference on Machines and Mechanisms (NaCoMM 2011). The variety of topics and the diversity of view-points should make the title significantly interesting to the beginner and expert alike in the general field of design and analysis of machines and mechanisms.

The symposium will provide a platform for exchange of research ideas on new technologies such as AI and Machine Learning in several areas of industrial automation and robotics.