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This open access book gives an overview of cutting-edge work on a new paradigm called the “sublinear computation paradigm,”... Læs mere
This book aims to address emerging challenges in the field of agriculture and natural resource management using the principles and applications of data science (DS).
How can machine learning help the design of future communication networks? How can future wireless networks meet the demands of emerging machine learning... Læs mere
With this book, Christopher Kormanyos delivers a highly practical guide to programming real-time embedded microcontroller systems in C++.
The book is written for newcomers to reinforcement learning who wish to write code for various applications, from robotics to power systems to supply chains.... Læs mere
This book provides an extensive coverage of the methodology of survival analysis, ranging from introductory level material to deeper more advanced topics.
Presented using Mathematica code, the book is fully supported by downloadable sessions in Mathematica, Maple, and Maxima.Opening with an introduction to computer algebra systems and the basics of programming mathematical algorithms, the book goes on to explore integer arithmetic.
Hybrid Genetic Optimization for IC Chip Thermal Control: with MATLAB® applications focuses on the detailed... Læs mere
This book is the first to give an accessible overview of the Christoffel–Darboux kernel as a novel, powerful, yet simple, tool in statistical data... Læs mere
Transformers are becoming a core part of many neural network architectures, employed in a wide range of applications such as NLP, Speech Recognition, Time... Læs mere