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Advanced driver assistance system (ADAS)
The purpose of Advanced Driver Assistance Systems (ADAS) is to reduce or eliminate driver errors, and to enhance efficiency in traffic and transportation. Our project is a means and a great contribution to safe driving, and the user does not need to install sensors or hard tools to the vehicle, and through it, the cost can be reduced and maintenance cost can be eliminated. The images are processed and segmented to find different features in the image. Segmented images are used for identification and classification based on various machine learning algorithms and neural networks. The main focus of ADAS technologies is to contribute to factors such as safety management and automated, stress-free driving for the driver
Advanced Design Techniques for RF Power Amplifiers
Main aim is to provide the reader with a deep analysis of theoretical aspects, modelling, and design strategies of RF high-efficiency power amplifiers. Advanced Design Techniques for RF Power Amplifiers begins with an analytical review of current state of the problem. Then it moves to the theoretical analysis of BJT class-F power amplifier near transition frequency and presents the necessary realization conditions. The next part concerns the practical verification and demonstration of the theoretical results. It is followed by the part devoted to the output networks of high-efficiency power ampifiers. The novel type of photonic band-gap structure providing improved characteristics both in the pass and stop bands is proposed. Finally, the fifth-harmonic peaking class F power amplifier design based on the above structure is presented.
Advanced Design and Manufacture to Gain a Competitive Edge : New Manufacturing Techniques and their Role in Improving Enterprise Performance
Advanced Design and Manufacture to Gain a Competitive Edge collects together papers from the 2008 International Conference on Advanced Design and Manufacture (ICADAM). This conference solicits both cutting edge fundamental research and recent industrial application papers, with a goal towards bringing together from all over the world design and manufacture practitioners from academia, government organisations and industry.
Advanced dental metallic materials
Delivers a broad and concise look at advanced metallic materials used for dental applications. This book aims to bring the readers closer to the specific purpose of dental metallic materials meeting specific criteria and materials properties such as biocompatibility, non-toxicity, resistance to corrosion, long-term durability, appropriate strength and toughness, as well as corresponding values of modulus of elasticity.
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 Data Warehouse Design : From Conventional to Spatial and Temporal Applications
This book serves as an introduction to the state of the art on data warehouse design, with many references to more detailed sources. Providing a clear and a concise presentation of the major concepts and results of data warehouse design, it can also be used as the basis of a graduate or advanced undergraduate course.
Advanced Data Mining Techniques
This book covers the fundamental concepts of data mining, to demonstrate the potential of gathering large sets of data, and analyzing these data sets to gain useful business understanding. The book is organized in three parts. Part I introduces concepts. Part II describes and demonstrates basic data mining algorithms. It also contains chapters on a number of different techniques often used in data mining. Part III focusses on business applications of data mining. Methods are presented with simple examples, applications are reviewed, and relativ advantages are evaluated.
Advanced Data Mining and Applications ; 4th International Conference, ADMA 2008, Chengdu, China, October 8-10, 2008. Proceedings
This book constitutes the refereed proceedings of the 4th International Conference on Advanced Data Mining and Applications, ADMA 2008, held in Chengdu, China, in October 2008.
Advanced Data Mining and Applications ; 3rd International Conference, ADMA 2007, Harbin, China, August 6-8, 2007 Proceedings
The Third International Conference on Advanced Data Mining and Applications (ADMA) organized in Harbin, China continued the tradition already established by the first two ADMA conferences in Wuhan in 2005 and Xi’an in 2006. One major goal of ADMA is to create a respectable identity in the data mining research com- nity. This feat has been partially achieved in a very short time despite the young age of the conference, thanks to the rigorous review process insisted upon, the outstanding list of internationally renowned keynote speakers and the excellent program each year. The impact of a conference is measured by the citations the conference papers receive. Some have used this measure to rank conferences.
Advanced Dairy Chemistry ; Vol.2 : Lipids
The book is unique in the literature on milk lipids, a broad field that encompasses a diverse range of topics, including synthesis of fatty acids and acylglycerols, compounds associated with the milk fat fraction, analytical aspects, behavior of lipids during processing and their effect on product characteristics, product defects arising from lipolysis and oxidation of lipids, as well as nutritional significance of milk lipids.
Advanced control of industrial processes : structures and algorithms
Advanced Control of Industrial Processes presents the concepts and algorithms of advanced industrial process control and on-line optimisation within the framework of a multilayer structure. Relatively simple unconstrained nonlinear fuzzy control algorithms and linear predictive control laws are covered, as are more involved constrained and nonlinear model predictive control (MPC) algorithms and on-line set-point optimisation techniques.Advances in Industrial Control aims to report and encourage the transfer of technology in control engineering. The rapid development of control technology has an impact on all areas of the control discipline. The series offers an opportunity for researchers to present an extended exposition of new work in all aspects of industrial control.
Advanced concepts in fluorescence sensing ; Part A : Small molecule sensing
"This volume incorporates authoritative small molecule analytical fluorescence sensing reviews specialized enough to be attractive to professional researchers, yet also appealing to the wider audience of scientists in related disciplines of fluorescence. Advanced Concepts in Fluorescence Sensing Part A: Small Molecule Sensing is an essential reference for any lab working in the analytical fluorescence sensing field. All academics, bench scientists, and industry professionals wishing to take advantage of the latest and greatest in the continuously emerging field of fluorescence sensing will find it an invaluable resource. Advanced Concepts in Fluorescence Sensing Part A: Small Molecule Sensing topics include: Probes for Anion and Cation Sensing / Fluorescent Carbon Dioxide Indicators / Fluorescent Redox-Switchable Devices / PET based Fluorescence Sensors / Oxygen Sensing / Fluorescence Sensing using Charge Transfer Probes / Fluorescence-based Nitric Oxide Detection "
Advanced Concepts for Intelligent Vision Systems ; 9th International Conference, ACIVS 2007, Delft, The Netherlands, August 28-31, 2007, Proceedings
This volume collects the papers accepted for presentation at the Ninth International Conference on “Advanced Concepts for Intelligent Vision Systems”The ACIVS conference was established in 1999 in Baden-Baden (Germany) as part of a large m ulticonference. Since then ACIVS has been developed as an independent scientific event and has maintained the tradition of being a single track event with oral presentations of 25 minutes each, even though the number of participants has been steadily growing every year. The conference currently attracts computer scientists from more than 20 countries, mostly from Europe, Australia and Japan, but also from the USA, Asia and the Middle East.
Advanced computational methods and geomechanics
Helps readers comprehensively grasp the intrinsic features of typical advanced computational methods. These methods are created in recent three decades for the understanding of the post-failure of geo-materials accompanied with discontinuous and finite deformation/dislocation, as well as the violent fluid-structure interaction accompanied with strong distortion of water surface. The strong points and weak points of the formalisms for governing equations, the discretization schemes, the nodal interpolation /approximation of field variables, and their connectivity (via support domains, covers, or enrichments), the basic algorithms, etc., are clarified.
Advanced computational intelligence paradigms in healthcare 2
Computational intelligence paradigms offer many advantages in maintaining and enhancing the field of healthcare. This volume presents seven chapters selected from the rapidly growing application areas of computational intelligence to healthcare systems, including intelligent synthetic characters, man-machine interface, menu generators, analysis of user acceptance, pictures archiving and communication systems.This book will serve as a useful resource for the health professionals, professors, students, and the computer scientists, who are working on or interested in learning healthcare systems, to overview the current stat-of-the-art of diverse applications of computational intelligence to healthcare practice.
Advanced computational intelligence paradigms in healthcare 1
This book presents some of the most recent research results on the applications of computational intelligence in healthcare. The contents include: Information model for management of clinical content State-based model for management of type II diabetes Case-based reasoning in medicine Assessing the quality of care in artificial intelligence environment Electronic medical record to examine physician decisions Multi-agent systems for the management of community healthcare Assistive wheelchair navigation Modelling treatment processes using information extraction Neonatal pain detection using face classification techniques Medical education interfaces using virtual patients The book is directed to the computer scientists, medical practitioners, scientists, professors and students of health science, computer science and related disciplines.
Advanced chemical biology : chemical dissection and reprogramming of biological systems
Organized around the central dogma of life, progressing from genes to proteins and higher-order cellular structures, including core application areas such as imaging, chemical genetics, activity-based protein profiling, and natural product discovery and biosynthesis. Advanced topics and applications in, e. g., microbiology, developmental biology, and neurobiology, are covered in separate sections.
Advanced Autonomic Networking and Communication
This book presents a comprehensive reference of state-of-the-art efforts and early results in the area of autonomic networking and communication.
Advanced Anesthesia Review
Provides a comprehensive knowledge review for all second-year US Anesthesiology residents taking the American Board of Anesthesiology's (ABA) Advanced Exam. This essential review features concise and readable chapters covering the relevant knowledge and concepts as determined by the ABA's curriculum.
Advanced Algorithms and Data Structures
introduces a collection of algorithms for complex programming challenges in data analysis, machine learning, and graph computing. You’ll discover cutting-edge approaches to a variety of tricky scenarios. You’ll even learn to design your own data structures for projects that require a custom solution. What's inside Build on basic data structures you already know Profile your algorithms to speed up application Store and query strings efficiently Distribute clustering algorithms with MapReduce Solve logistics problems using graphs and optimization algorithms
