This book discusses machine learning algorithms, such as artificial neural networks of different architectures, statistical learning theory, and Support Vector Machines used for the classification and
This class-tested textbook will provide in-depth coverage of the fundamentals of machine learning, with an exploration of applications in information security. The book will cover malware detection, c
Reinforcement learning (RL) is a framework for decision making in unknown environments based on a large amount of data. Several practical RL applications for business intelligence, plant control, and
In machine learning applications, practitioners must take into account the cost associated with the algorithm. These costs include: Cost of acquiring training dataCost of data annotation/labeling and
An emerging topic in software engineering and data mining, specification mining tackles software maintenance and reliability issues that cost economies billions of dollars each year. The first unified
Comprehensive coverage of the essential differential equations students are likely to encounter in solving engineering and mechanics problems -- alongside a preliminary companion text on theory. This
Comprehensive coverage of the essential differential equations students are likely to encounter in solving engineering and mechanics problems -- alongside a preliminary companion text on theory. This
Trained to extract actionable information from large volumes of high-dimensional data, engineers and scientists often have trouble isolating meaningful low-dimensional structures hidden in their high-
"In the last decade, the number of complex problems facing engineers has increased, and the technical knowledge required to address and mitigate them continues to evolve rapidly. These problems includ
Under the pressure of harsh environmental conditions and natural hazards, large parts of the world population are struggling to maintain their livelihoods. Population growth, increasing land utilizati
Thirty-three international academics and researchers contribute 23 chapters exploring learning curves and their applications in organizational settings. Opening chapters describe the theory and models
In our "throwaway" society, with landfills filled to capacity, interest in incineration- and conversion-based waste management technologies continues to grow. Increasing net waste generation rates wit
The enzyme market for the fruit and vegetable industry has grown exponentially in recent years, and while many books covering enzymes currently exist on the market, none offer the specialized focus o
This book describes the use of machine learning techniques to build predictive models of uncertainty with application to hydrological models, focusing mainly on the development and testing of two diff
What do financial data prediction, day-trading rule development, and bio-marker selection have in common? They are just a few of the tasks that could potentially be resolved with genetic programming a
Timing, memory, power dissipation, testing, and testability are all crucial elements of VLSI circuit design. In this volume culled from the popular VLSI Handbook, experts from around the world provide
Most existing textbooks on this subject were written either for mathematics or engineering students and do not address the unique situation of computer science students, who have some background in di
Master the tools of MATLAB through hands-on examplesShows How to Solve Math Problems Using MATLABThe mathematical software MATLABR integrates computation, visualization, and programming to produce a p
The spatial variation of seismic ground motions denotes the differences in the seismic time histories at various locations on the ground surface. This text focuses on the spatial variability of the mo
The success, growth, and virtually limitless applications of nanotechnology depend upon our ability to manipulate nanoscale objects, which in turn depends upon developing new insights into the interac
This book gives the latest research advances in the field of mathematics applications in engineering sciences. The book will provide a reference for applications of mathematics in engineering, offerin
Presents the latest research findings, developments, and applications in the areas of geotechnics, soil mechanics, foundations, geological engineering and share experiences in the design of complex ge
During the past two decades, membrane separation processes have become standard. The properties of modern membrane technology make it suitable for applications in the food industry. This book presents
The study of rock dynamics is important because many rock mechanics and rock engineering problems involve dynamic loading ranging from earthquakes to vibrations and explosions. The subject deals with
Applications of high-performance fiber reinforced polymer (FRP) composite materials have grown beyond just aerospace and marine industries, into civil engineering and other related disciplines. This b
Software requirements for engineering and scientific applications are almost always computational and possess an advanced mathematical component. However, an application that calls for calculating a s
Volume 2, Applications of Rock Mechanics – Rock Engineering, discusses the applications of rock mechanics to engineering structures in/on rock, rock excavation techniques and in-situ monitoring techni
The book is a collection of scientific and technical papers presented at RocDyn-3. The papers reflect the recent developments in experiment, theory and engineering applications of in rock dynamics. Th
This book introduces model-driven approaches in software development using a pragmatic presentation that includes foundational sidebars and industrial experiences. Suitable as a textbook for master st
This textbook covers tools and applications in civil engineering systems. It begins by revising the mathematical and statistical background for the adequate formulation of civil engineering problems.
The field of quantum and molecular simulations has experienced strong growth since the time of the early software packages. A recent study, showed a large increase in the number of people publishing p
Modern petroleum and petrotechnical engineering is increasingly challenging due to the inherently scarce and decreasing number of global petroleum resources. Exploiting these resources efficiently wil
Due to their unique properties, chitosan-based materials have emerged as useful resources in a variety of medicines, drug controlled-release carriers, tissue engineering scaffolds, and immobilized enz
Most available books on computational electrodynamics are focused on FDTD, FEM, or other specific technique developed in microwave engineering. In contrast, Fourier Modal Method and Its Applications i
Water Engineering and Management - Learning from History explores the pair technology / water use (an indivisible pair, since the first member of the binomial determines the second) which, in the ligh
Currently, many smart materials exhibit one or multifunctional capabilities that are being effectively exploited in various engineering applications, but these are only a hint of what is possible. New
A major goal of materials science is to create new engineering materials and optimize their cost and performance. Understanding how adjacent materials behave at their borders is an essential part of t
As the demand for energy continues to grow, optimization has risen to the forefront of power engineering research and development. Continuing in the bestselling tradition of the first edition, Electri
Combining topics from numerous applications in biomechanics, Applied Biomedical Engineering Mechanics demonstrates how to analyze physiological processes from an engineering perspective and appl
The field of human factors/ergonomics has changed markedly in the past decade. The widespread influence of computer technology has permeated every aspect of the human machine system. The systems are
