Mathematics - General

The aim of this book is to show how to analyze survival data with the presence of recurrent events applied to cancer settings. Throughout, the emphasis is on presenting analysis of real data. Many of the models discussed are those widely used in this...

In a world where video games are more than just entertainment, Current Advances in Serious Games, Game-based Learning and Gamification in Education explores the transformative power of games in shaping learning, awareness, and engagement. This collection highlights groundbreaking research on game-based learning, digital intelligence,...

In this Special Issue, we explore the transformative power of deep learning-based computing technologies in improving the accuracy and reliability of image recognition systems. From advancing autonomous driving to enhancing object detection, deep learning continues to push the boundaries of what is achievable. Additionally,...

This Special Issue presents selected papers by leading international experts on various database engineered applications. The leading experts include Schahram Dustdar, who served as an invited speaker at several International Database Engineered Applications Symposia, and the authors of the two highest-ranked papers from the...

Evolutionary computation offers powerful problem-solving methodologies inspired by models of natural genetics and evolutionary processes. Potential applications are wide-ranging and include problems related to combinatorial optimization, numerical optimization, multi-objective optimization, and others, as well as specific applications of these problems in diverse domains, such...

The application of advanced guidance and control to missiles, hypersonic vehicles, and unmanned aerial vehicles has long represented a research hotspot in academia, and the development of more advanced and intelligent guidance and control technology for flight vehicles has become a focus of research...

With the popularity of the social media, a large amount of user-generated content, such as comments, is emerging, which is crucial for all industries. Recently, the development of deep learning and computing power have made it possible to handle complex data. However, there are...

During recent years, social infrastructure has become irreversibly linked to the Internet through its everyday manifestations, such as social networking services (Twitter, Facebook, etc.). Every second, this new tangible information-based reality provides large amounts of data filled with 1) emotional expressions; 2) people's opinions...

This special issue focuses on the mathematical modelling and numerical analysis methods employed in electrical engineering applications. The 11 manuscripts included utilize various analytical and computational techniques such as parameter modelling methods and numerical analyses to solve engineering problems in domains such as electric...

This reprint of the Special Issue in the journal Mathematics presents research in the area of Operations Research. The subjects addressed in the 15 research papers cover a broad spectrum of subjects, such as machine learning, scheduling, timetabling, or graph theory.Author: Frank WernerISBN-10: 3725816263ISBN-13:...

This reprint contains a collection of research papers on spectral theory for differential and functional differential operators. Spectral theory plays a fundamental role in mathematics and has applications in various fields of science and engineering, e.g., in quantum and classical mechanics, geophysics, acoustics, and...

The aim of this reprint is to address increasingly complex human problems by utilizing various sensors to collect data, enabling the formulation of solutions through deep learning and artificial intelligence (AI). This trend creates a high demand for sensors while presenting new challenges in...

This Special Issue covers a variety of computational applications in medical image analysis. With a vast majority of the articles reporting on machine learning or deep learning-based methodologies, it highlights the transistion toward artificial intelligence over the past decade.Author: Anando SenISBN-10: 3725813949ISBN-13: 9783725813940Publisher: Mdpi...

The best works were selected after the conference titled "Integrated Computer Technologies in Mechanical Engineering"-Synergetic Engineering (ICTM) II. The conference provided technical exchange between the scientific community in the form of keynote addresses, panel discussions, and a special session. In addition, participants were treated...

The best works were selected after the conference "Integrated Computer Technologies in Mechanical Engineering"-Synergetic Engineering (ICTM). The conference provided technical exchange between the scientific community in the form of keynote addresses, panel discussions, and a special session. In addition, participants were treated to a...

The study here is about supervised learning, an aspect of statistical learning. We identified prediction as the mainstay of supervised learning, and further noted that when the outcome of prediction is a categorical variable, classification obtains, otherwise what we have is regression, meaning that...

Regularity theory is one of the most challenging problems in modern theory of partial differential equations. It has attracted peoples' eyes for a long history. A classical method of partial regularity theory is the "freezing the coefficients" method. The proof is complex and troublesome....

The numerical approximation of solutions of ordinary differential equations played an important role in Numerical Analysis and still continues to be an active field of research. In this book we are mainly concerned with the numerical solution of the first-order system of nonlinear two-point...

Author: Steven L. WaslanderISBN-10: 3639098765ISBN-13: 9783639098761Publisher: VDM VerlagLanguage: EnglishPublished: 11/21/2008Pages: 196Format: PaperbackWeight: 0.59lbsSize: 9.00h x 6.00w x 0.42d

Author: Reinier BrökerISBN-10: 3639097343ISBN-13: 9783639097344Publisher: VDM Verlag Dr. Mueller E.K.Language: EnglishPublished: 11/11/2008Pages: 172Format: PaperbackWeight: 0.52lbsSize: 9.00h x 6.00w x 0.37d

The purpose of this work is to develop a differential Galois theory for differential equations admitting superposition laws. First, we characterize those differential equations in terms of Lie group actions, generalizing some classical results due to S. Lie. We call them Lie-Vessiot systems. Then,...

Author: Peter LiljedahlISBN-10: 3639064704ISBN-13: 9783639064704Publisher: VDM VerlagLanguage: EnglishPublished: 12/15/2008Pages: 160Format: PaperbackWeight: 0.49lbsSize: 9.00h x 6.00w x 0.34d

Nonlinear eigenvalue problems arise in many fields of natural and engineering sciences. Theoretical and practical results are scattered in the literature and in most cases they have been developed for a certain type of problem. In this book we consider the most general nonlinear...

This book concerns two broad classes of Markov decision problems that fall within the family of "restless bandits", an intractable class of decision processes introduced by P. Whittle. For the first class of problems, we employ Gittins' index theory to establish the indexability of...

Author: François AntonISBN-10: 3639038479ISBN-13: 9783639038477Publisher: VDM Verlag Dr. Mueller E.K.Language: EnglishPublished: 06/25/2008Pages: 216Format: PaperbackWeight: 0.65lbsSize: 9.00h x 6.00w x 0.46d

This book provides a framework for real time control of the Chemical Mechanical Planarization (CMP) process based on combining nonlinear dynamics principles with statistical process monitoring approaches. CMP has a direct bearing on the computational speed and dimensional characteristics of solid state devices. The...

Reviewing is a key activity that can find defects at an early stage of system and software development. Currently, there are many review techniques proposed. However, to data there have been no review techniques that have focused explicitly on the relative business value or...

This book concerns existence of primitive polynomials over finite fields with an arbitrarily prescribed coefficient. It completes the proof of a fundamental conjecture of Tom Hansen and Gary L. Mullen (1992) which asserts that, with some explicable general exceptions, there always exists a primitive...

Mathematical models are the effective tool to solve different tasks predicting pollutant movement. The finite difference method is the oldest, but still remains widely used in hydrogeological practice. However, this method is not very useful to construct the new transport models because it cannot...

1. What is conscious observer - self? Observer, which remains outsider to the physical world in the recent day physics - both classical and quantum. Hence one does not have a theory of consciousness and cannot speak about conscious information. Thermodynamics gives only the...

Debt Dance: A Global Journey Through Fiscal Tightropes" takes you on a whirlwind tour of government borrowing around the world. It explores the reasons why countries, from emerging economies to established powers, choose to take on debt. You'll discover how these borrowed funds can...

"The Dependability Revolution: Mathematical Tools for Building Secure, Reliable Systems" dives into the fascinating world of formal methods for ensuring the smooth operation of critical systems. Imagine a world where power grids never flicker, airplanes never experience malfunctions, and online transactions are always secure....

The Ready Reckoner, Calculator, and Mechanic's Companion - For lumber dealers, carpenters, mechanics, masons, farmers, merchants, laborers, &c. is an unchanged, high-quality reprint of the original edition of 1875. Hansebooks is editor of the literature on different topic areas such as research and science,...

Positrons can be used to study metallic defects. Positron annihilation experiments have been carried out to identify the defects in complex oxides. Positrons have also been used to study the Bose-Einstein condensation (BEC). Ps-BEC can be used to measure antigravity using atomic interferometers. This...

The first nonlinear optical effect was observed in the 19th century by John Kerr. Nonlinear optics, however, started to grow up only after the invention of the laser, when intense light sources became easily available. The seminal studies by Peter Franken and Nicolaas Bloembergen,...

Discrete optimization is an important area of Applied Mathematics with a broad spectrum of applications in many fields. This book results from a Special Issue in the journal Mathematics entitled 'Advances and Novel Approaches in Discrete Optimization'. It contains 17 articles covering a broad...

This book is a collection of 12 innovative research papers in the field of hypercompositional algebra, 7 of them being more theoretically oriented, with the other 5 presenting strong applicative aspects in engineering, control theory, artificial intelligence, and graph theory. Hypercompositional algebra is now...

Fixed point theory arose from the Banach contraction principle and has been studied for a long time. Its application mostly relies on the existence of solutions to mathematical problems that are formulated from economics and engineering. After the existence of the solutions is guaranteed,...

The aim of this special issue is to publish original research papers that cover recent advances in the theory and application of stochastic processes. There is especial focus on applications of stochastic processes as models of dynamic phenomena in various research areas, such as...

X-ray free electron lasers (XFELs) deliver intense, coherent, femtosecond laser pulses in the X-ray range. The XFELs are opening two new research fields. One is to study ultrafast electronic and structural dynamics in various forms of matter. XFELs can make atoms and electrons in...

In the last three decades, fractional calculus has broken into the field of mathematical analysis, both at the theoretical level and at the level of its applications. In essence, the fractional calculus theory is a mathematical analysis tool applied to the study of integrals...

In the first contribution, Morbiducci and co-workers discuss the theoretical and methodological bases supporting the Lagrangian- and Euler-based methods, highlighting their application to cardiovascular flows. The second contribution, by the Ansón and van Lenthe groups, proposes an automated virtual bench test for evaluating the...

The present Special Issue, "Novel Nanocomposites: Optical, Electrical, Mechanical and Surface Related Properties", presents a collection of eight original, high-quality research papers covering a broad range of subjects, from nanocomposite synthesis/fabrication to the design and characterization of various nanocomposites materials with enhanced optical, electrical,...

This book celebrates the 80 years of the Professor Eugene P. Wigner paper "On Unitary Representations of the Inhomogeneous Lorentz Group", published in The Annals of Mathematics in 1939. We have collected several contributions divided into Research articles and Reviews. All contributions are technical,...

The design of new alloys or metal-based composites as well as the optimization of any of the processes involved in high-temperature deformation must take into account the characterization and/or modeling of the high-temperature mechanical responses of the material. This is not a new concept....

Fixed point theory arose from the Banach contraction principle and has been studied for a long time. Its application mostly relies on the existence of solutions to mathematical problems that are formulated from economics and engineering. After the existence of solutions is guaranteed, the...

Cancer is a multifactorial and very complex disease representing the second leading cause of death worldwide. Prevention, early diagnosis and the old and new arsenal of chemotherapics are useful tools in the fight against this disease. This Special Issue collects the last researches and...

The analysis and modeling of time series is of the utmost importance in various fields of application. This Special Issue is a collection of articles on a wide range of topics, covering stochastic models for time series as well as methods for their analysis,...

Despite effective global-scale legislation to restrict the emissions of nitrogen (N) into the atmosphere, atmospheric deposition of N remains high in many forested regions. In addition, many N-impacted forests still retain the imprint of N saturation, such as altered species composition and leaching of...

The last few decades have seen considerable progress in the development of high-performance metals and alloys that have microstructures and plastic behaviors with a high level of complexity. Ultrafine-grain materials, metallic glasses, gradient microstructures, etc., have clearly been gaining the attention of researchers and...