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Highlighting key research findings in a volatile, evolving field, this book presents pioneering work done by scientists working in regulatory signaling networks and the use of large scale gene expression and omics data.
Grasping in Robotics contains original contributions in the field of grasping in robotics with a broad multidisciplinary approach.
The purpose of this book is to provide an up-to-date introduction to the time-domain finite element methods for Maxwell’s equations involving metamaterials.
Large Language Models for Chemists breaks down that barrier by demystifying how LLMs work in an accessible way and showing, step-by-step, how... Læs mere
Bioinformatics deals with computational and mathematical approaches for understanding and processing biological data.
This book presents mathematical models of demand-side management programs, together with operational and control problems for power and renewable energy systems.
This volume explores the complex problems that arise in the modeling and simulation of crowd dynamics in order to present the state-of-the-art of this emerging field and contribute to future research activities.
This book presents the latest research in the fields of reliability theory and its applications, providing a comprehensive overview of reliability engineering and discussing various tools, techniques, strategies and methods within these areas.
?This book presents the state-of-the-art in social simulation as presented at the Social Simulation Conference 2018 in Stockholm, Sweden.
The works in this book are based on results that came out of the Amazon Robotics Challenge from 2015-2017, which... Læs mere
This book is written for researchers and postgraduates who are interested in developing high-accurate energy demand forecasting models that outperform traditional models by hybridizing intelligent technologies.