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Advances in Computer and Information Sciences and Engineering
Advances in Computer and Information Sciences and Engineering includes a set of rigorously reviewed world-class manuscripts addressing and detailing state-of-the-art research projects in the areas of Computer Science, Software Engineering, Computer Engineering, and Systems Engineering and Sciences.
Advances in Big Data Analytics : Theory, Algorithms and Practices
Provides a comprehensive and cutting-edge study on big data analytics, based on the research findings and applications developed by the author and his colleagues in related areas. It addresses the concepts of big data analytics and/or data science, multi-criteria optimization for learning, expert and rule-based data analysis, support vector machines for classification, feature selection, data stream analysis, learning analysis, sentiment analysis, link analysis, and evaluation analysis. The book also explores lessons learned in applying big data to business, engineering and healthcare. Lastly, it addresses the advanced topic of intelligence-quotient (IQ) tests for artificial intelligence.
Advances in artificial intelligence: models, optimization, and machine learning
Contains all the articles accepted and published in the Special Issue “Advances in Artificial Intelligence: Models, Optimization, and Machine Learning” of the MDPI Mathematics journal, which covers a wide range of topics connected to the theory and applications of artificial intelligence and its subfields. These topics include, among others, deep learning and classic machine learning algorithms, neural modelling, architectures and learning algorithms, biologically inspired optimization algorithms, algorithms for autonomous driving, probabilistic models and Bayesian reasoning, intelligent agents and multiagent systems.
Advanced Techniques in Knowledge Discovery and Data Mining
This explosion is a result of the growing use of electronic media. But what is data mining (DM)? A Web search using the Google search engine retrieves many (really many) definitions of data mining. We include here a few interesting ones. One of the simpler definitions is: “As the term suggests, data mining is the analysis of data to establish relationships and identify patterns” [1]. It focuses on identifying relations in data. Our next example is more elaborate: An information extraction activity whose goal is to discover hidden facts contained in databases. Using a combination of machine learning, statistical analysis, modeling techniques and database technology, data mining finds patterns and subtle relationships in data and infers rules that allow the prediction of future results. Typical applications include market segmentation, customer profiling, fraud detection, evaluation of retail promotions, and credit risk analysis .
Advanced Methods for Inconsistent Knowledge Management
This book presents a unified and systematic description of a wide class of miscellaneous problems of inconsistent knowledge management, analyzed by traditional mathematical methods using relational and logical representations.
Advanced Decision Sciences Based on Deep Learning and Ensemble Learning Algorithms : A Practical Approach Using Python
Describes the deep learning models and ensemble approaches applied to decision-making problems. The authors have addressed the concepts of deep learning, convolutional neural networks, recurrent neural networks, and ensemble learning in a practical sense providing complete code and implementation for several real-world examples. The authors of this book teach the concepts of machine learning for undergraduate and graduate-level classes and have worked with Fortune 500 clients to formulate data analytics strategies and operationalise these strategies.
Advanced artificial intelligence models and its applications
The field of artificial intelligence (AI) has undergone enormous expansion since its inception in the mid-20th century, as demonstrated by its application across an array of engineering and scientific challenges. Particularly in the last decade, AI has witnessed a significant breakthrough with the advent of deep learning, which has facilitated the employment of various AI models across a multitude of domains. This reprint features ten papers accepted for publication in the Special Issue titled "Advanced Artificial Intelligence Models and Their Applications," published in the MDPI Mathematics journal. These papers explore numerous facets of advanced artificial intelligence models and their applications, covering areas such as cybersecurity, image classification, logistics optimization, automatic music generation, human capital investment, writer recognition, remote sensing image indexing, target tracking, and more.
Adaptive-robust control with limited knowledge on systems dynamics : An artificial input delay approach and beyond
investigates the role of artificial input delay in approximating unknown system dynamics, referred to as time-delayed control (TDC), and provides novel solutions to current design issues in TDC. Its central focus is on designing adaptive-switching gain-based robust control (ARC) for a class of Euler–Lagrange (EL) systems with minimal or no knowledge of the system dynamics parameters. The newly proposed TDC-based ARC tackles the commonly observed over- and under-estimation issues in switching gain. The consideration of EL systems lends a practical perspective on the proposed methods, and each chapter is supplemented by relevant experimental data
Abstract Computing Machines : A Lambda Calculus Perspective
The book addresses ways and means of organizing computations, highlighting the relationship between algorithms and the basic mechanisms and runtime structures necessary to execute them using machines. It completely abstracts from concrete programming languages and machine architectures, taking instead the lambda calculus as the basic programming and program execution model to design various abstract machines for its correct implementation. The emphasis is on fully normalizing machines based on full-fledged beta-reductions as essential prerequisites for symbolic computations that treat functions and variables truly as first-class objects. Their weakly normalizing counterparts are shown to be functional abstract machines that sacrifice the flavors of full beta-reductions for decidedly simpler runtime structures and improved runtime efficiency. Further downgrading of the lambda calculus leads to classical imperative machines that permit side-effecting operations on the runtime environment.
A Programmers Introduction to C#2.0
A Programmer's Introduction to C# 2.0, Third Edition is a critical update to the highly successful second edition. It is written by a member of the original C# language-design team and a C# program manager, so you can be certain this book contains the expertise you're looking for. This third edition covers the elements of C# 2005 that you'll soon embrace. This comprehensive tutorial explains features like generics, iterators, anonymous types, and partial classes. It is sure to be a key resource for all you C# programmers!
A Classical Introduction to Cryptography Exercise Book
A Classical Introduction to Cryptography Exercise Book for A Classical Introduction to Cryptography: Applications for Communications Security covers a majority of the subjects that make up today's cryptology, such as symmetric or public-key cryptography, cryptographic protocols, design, cryptanalysis, and implementation of cryptosystems. Exercises do not require a large background in mathematics, since the most important notions are introduced and discussed in many of the exercises.
A Classical Introduction to Cryptography : Applications for Communications Security
This advanced-level textbook covers conventional cryptographic primitives and cryptanalysis of these primitives; basic algebra and number theory for cryptologists; public key cryptography and cryptanalysis of these schemes; and other cryptographic protocols, e.g. secret sharing, zero-knowledge proofs and undeniable signature schemes.
Materials, Chemicals and Methods for Dental Applications
Focuses on the materials used for dental applications looking at the fundamental issues and the developments that have taken place the past decade. While it provides a broad overview of dental materials, the chemicals that are used for the preparation and fabrication of dental materials are explained as well. Also, the desired properties of these materials are discussed and the relevance of the chemical, physical, and mechanical properties is elucidated. Methods for the characterization and classification, as well as clinical studies are reviewed here. In particular, materials for dental crowns, implants, toothpaste compositions, mouth rinses, as well as materials for toothbrushes and dental floss are discussed. For example, in toothpaste compositions, several classes of materials an chemcials are incorporated, such as abrasives, detergents, humectants, thickeners, sweeteners, coloring agents, bad breath reduction agents, flavoring agents, tartar control agents, and others. These chemicals, together with their structures, are detailed in the text.
Materials science for dentistry
A standard resource for undergraduate and postgraduate courses in dentistry. It provides fundamental coverage of the materials on which dentistry depends, covering the structure and chemistry that govern the behavior and performance of materials. Particular classes of materials include gypsum, polymers, acrylic, cements, waxes, ceramics and metals. Other chapters review surfaces, corrosion, mixing, casting, cutting and bonding, and mechanical testing. This updated edition, which includes substantial chapters on chemistry, has been extensively revised with new material on temporary restoration resins, hydraulic silicate cements and the practical aspects of wetting surfaces. Mindfully written to provide explanations for behavior, formulation, clinical and laboratory instructions and procedures, there is no comparable resource for researchers, students, teachers and practitioners in the field of dentistry.
Lindhe's Clinical Periodontology and Implant Dentistry ; 2 Vol. Set ; 7th ed.
Provides an introduction to anatomy, including periodontal tissues, the edentulous ridge, the mucosa at teeth and implants, and osseointegration Discusses the epidemiology of periodontal and peri-implant diseases Explores the microbiology, including dental biofilms and calculus, periodontal infections, peri-implant infections, the pathogenesis of gingivitis and periodontitis, and the genetic susceptibility to periodontal disease Includes the latest perio- and peri-implant disease classifications Contains updated evidence-based preventive and treatment modalities for the treatment of periodontal and peri-implant diseases Features the latest evidence-based therapeutic alternatives on the use of dental implants to rehabilitate the lost dentition
Classifications and lists in oral and maxillofacial surgery
Contains a concise collection of the most important oral and maxillofacial surgery classifications and lists. Such classifications help to describe diseases in a comprehensible, measurable, validated and reproducible manner and are the first step towards a systematic approach for treating specific conditions. Elsewhere in this book, lists provide clinical guidance on key subspecialty topics. Using subdivisions such as trauma, head and neck cancer, and orthognathic surgery, this is a succinct and easy-to-use guide for the head and neck clinician.
Brudvik's advanced removable partial dentures
Features hundreds of new photographs and drawings to explain the intricacies of complex RPDs. The function of each element of an RPD is described in isolation and by class, and the clinical and laboratory steps of RPD design and creation are reviewed, followed by discussions of various types of prostheses and when/how to use them. This technical manual is aimed at experienced practitioners but still presents the information in a neat, organized, and easy-to-follow manner.
Biomimetic restorative dentistry ; Vol.1 : Fundamentals and basic clinical procedures
Takes the science of esthetic dental reconstruction to a new level both clinically and academically, and it offers all that a clinician could wish for in terms of indications and the classic clinical steps for tooth preparation, laboratory and CAD/CAM procedures, adhesive luting procedures, and maintenance. But above all, what makes this book so unique is the biomimetic principle—as such, restoring or mimicking the biomechanical, structural, and esthetic integrity of teeth is paramount. The core of this book centers on the application of the biomimetic principle in the form of bonded restorations using composite resins and ceramics, covering indications, treatment planning, diagnosis, tooth preparation and impression, laboratory and CAD/CAM procedures, final delivery, follow-up, maintenance, and repair. Written by a true master and artist, this book will undoubtedly inspire excellence in anyone who picks it up.
Bioceramic Materials in Clinical Endodontics
This book focuses on hydraulic calcium silicate-based materials available in clinical dentistry, used as pulp capping materials, root canal sealers, root-end fillers, or root repair materials and which offer improved properties and easier clinical application compared with the original mineral trioxide aggregate. The book introduces the current classification of bioceramic materials and explains their characterization and their physicochemical and biological properties.
Bell's oral and facial pain
Includes advanced understanding of the neurophysiology and central processing of pain and the resulting changes to diagnostic, classi cation, and treatment guidelines. To assist clinicians in the dif cult and often complicated task of managing patients suffering from oral and facial pain, this textbook provides documented information concerning pain and pain behavior so that one may better understand what pain is, how it behaves, and how it might best be managed; develops a useful classi cation of orofacial pain disorders; offers practical diagnostic criteria by which the different orofacial pain disorders can be identi ed on a clinical level; and suggests guidelines for the effective management of patients who suffer from pain in the region of the mouth and face.
