Machine Learning Applications In Software Engineering

This book provides a perspective on the application of machine learning-based methods in knowledge discovery from natural languages texts. By analysing various data sets, conclusions which are not nor

The goal of this introductory graduate textbook is to cover the statistical and computational methods needed by molecular biologists in order to analyze their own data without the help of a bioinforma

This book constitutes the refereed proceedings of the 9th Software Quality Days Conference, SWQD 2017, held in Vienna, Austria, in January 2017. The SWQD conference offers a range of comprehensive and

This book includes a set of rigorously reviewed world-class manuscripts addressing and detailing state-of-the-art research projects in the areas of Computer Science, Informatics, and Systems Sciences,

This is a book about the invention and testing of ideas. By describing how to generate engaging problem situations for engineering students to solve it inspires original currents of thought.Make-and-

This book represents the 14th in the Service-Learning in the Disciplines Series and concentrates on how service-learning can be successfully incorporated in engineering programs, a discipline to which

Core Insight：Cross-Domain Data Collaboration: Unlocking Chip PotentialEliminating the "efficiency gap" caused by knowledge silos is the starting point for industry potential. Data doesn't lie; Data Science provides the solution: Through innovation and cross-domain restructuring, we visualize results to become the critical accelerator for boosting efficiency.GenAI Reshaping the Future of SemiconductorsFacing the immense challenge of the slowing pace of Moore's Law, the semiconductor industry urgently requires new breakthroughs. This book is specifically designed to solve the "Efficiency Black Hole" that consumes tens of billions of dollars annually in the industry.The Empowering DTCO Innovation with AI and Machine Learning offers readers a practical DTCO.ML Framework, demonstrating how to leverage Machine Learning (ML) and Generative AI (GenAI) technologies to inject new acceleration into chip manufacturing processes. Learn to master process variability and optimize chip energy efficien

Once considered the traditional approach to education, brick and mortar institutions are no longer the norm due to e-learning technologies. Populations are turning into ubiquitous human beings, and ed

Learning environments continue to change considerably and is no longer confined to the face-to-face classroom setting. As learning options have evolved, educators must adopt a variety of pedagogical s

This volume reprints 17 papers originally published in International Journal of Mobile and Blended Learning, vol. 2, issues 1-4 by IGI Publishing during 2010. Several of the chapters stem from the Alp

This book examines research, design, and implementation aspects of technologies and methods in distance learning. The research described incorporates global challenges and opportunities of technology

Solving imbalanced learning problems is critical in numerous data-intensive networked systems, including surveillance, security, Internet, finance, biomedical, and defense, to name a few. The first co

The 15 papers in this collection explore the potential of virtual worlds for teaching children and adults, analysis of personalized online training paths, assessment of interoperable tools for Nigeria

Sequential behavior is essential to intelligence in general and a fundamental part of human activities, ranging from reasoning to language, and from everyday skills to complex problem solving. Sequenc

Examines educational approaches that would customize U.S. Air Force training to the individual, with the intent of minimizing time in training, focusing on the trainee1s needs, and getting the trainee