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This book tackles these challenges by exploiting the unique features of advanced ML models and investigates cross-layer concepts and techniques to engage both hardware and software-level methods to build robust and energy-efficient architectures for these advanced ML networks.
Fostering Women's Engagement in STEM Through Education: A Cross-Cultural Academic-Industry Journey uniquely intertwines academic rigor with real-world impact, offering a comprehensive exploration of STEM experiences forged through the Partnership in Innovation for Employability (PIE) programme.
Explores the evolution from Industry 4.0 to the cutting-edge Industry 6.0, offering insights into the integration of next-generation computing, including IoT, AI, machine learning, deep learning, edge computing and quantum computing.
This book presents insights into how Intelligent Computing and Optimization techniques can be used for attaining the goals of Sustainable Development. It provides a comprehensive overview of the latest breakthroughs and recent developments in sustainable, intelligent computing technologies, applications, and optimisation techniques.
This book aims to examine the utilization of AI technologies in tackling difficult industrial issues and offer readers a thorough comprehension of how these technologies are being employed to address intricate industrial challenges and stimulate innovation.
RNA Structure, Kinetics, and Rational Design is a comprehensive treatment of computational methods concerning the secondary structure, folding kinetics and rational design of RNA. This book provides the nuts, bolts and tools to take the next steps in computational RNA synthetic biology.
Technology innovations have changed how social work educators teach and students learn. This book is designed to assist social work academics and educators in enhancing their students' critical thinking, reflective capacity and skills in clinical and research settings through the integration of social work content podcasting.
This book offers an introduction to applied statistics through data analysis, integrating statistical computing methods. It covers robust and non-robust descriptive statistics used in each of four bivariate statistical models that are commonly used in research: ANOVA, proportions, regression, and logistic. The text teaches statistical inference principles using resampling methods (such as randomization and bootstrapping), covering methods for hypothesis testing and parameter estimation. These methods are applied to each statistical model introduced in preceding chapters.Data analytic examples are used to teach statistical concepts throughout, and students are introduced to the R packages and functions required for basic data analysis in each of the four models. The text also includes introductory guidance to the fundamentals of data wrangling, as well as examples of write-ups so that students can learn how to communicate findings. Each chapter includes problems forpractice or assessment. Supplemental instructional videos are also available as an additional aid to instructors, or as a general resource to students. This book is intended for an introductory or basic statistics course with an applied focus, or an introductory analytics course, at the undergraduate level in a two-year or four-year institution. This can be used for students with a variety of disciplinary backgrounds, from business, to the social sciences, to medicine. No sophisticated mathematical background is required.
Revolutionizing Communication is a guide to comprehending the present and future of communication in the era of AI. It provides invaluable insights for professionals, academics, and everyone interested in the significant changes occurring in our digital age.
In this comprehensive and cutting-edge volume, Jeon and Qureshi bring together experts from around the world to explore the potential of artificial intelligence models in research and discuss the potential benefits and the concerns and challenges that the rapid development of this field has raised.
Interactive media are a human-machine interface that allows people to connect with each other by making them active participants in the media they consume through text, graphics, audio and video. This book presents the challenges and opportunities presented by emerging media technologies to explore usability evaluation.
This book presents cutting-edge research, advanced techniques, and practical applications of the integration of Cloud Computing and IoT. It offers in-depth insights, developments, and practical applications, showcasing helpful tools and techniques in IoT and Cloud Computing.
The book examines the role of market and technical knowledge integration in creating innovation and superior business performance of R&D intensive companies. Providing a new approach to this topic, it considers current R&D intensive companies' ways of functioning based on qualitative and quantitative research.
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