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Machine Learning in Dentistry
This book reviews all aspects of the use of machine learning in contemporary dentistry, clearly explaining its significance for dental imaging, oral diagnosis and treatment, dental designs, and dental research. In this book, readers will find up-to-date information on different machine learning tools and their applicability in various dental specialties.
Machine Learning in Computer Vision
The goal of this book is to address the use of several important machine learning techniques into computer vision applications. An innovative combination of computer vision and machine learning techniques has the promise of advancing the field of computer vision, which contributes to better understanding of complex real-world applications. The effective usage of machine learning technology in real-world computer vision problems requires understanding the domain of application, abstraction of a learning problem from a given computer vision task, and the selection of appropriate representations for the learnable (input) and learned (internal) entities of the system. In this book, we address all these important aspects from a new perspective: that the key element in the current computer revolution is the use of machine learning to capture the variations in visual appearance, rather than having the designer of the model accomplish this. As a bonus, models learned from large datasets are likely to be more robust and more realistic than the brittle all-design models.
Machine Learning for Multimodal Interaction ; 5th International Workshop, MLMI 2008, Utrecht, The Netherlands, September 8-10, 2008. Proceedings
The 12 revised full papers and 15 revised poster papers presented together with 5 papers of a special session on user requirements and evaluation of multimodal meeting browsers/assistants were carefully reviewed and selected from 47 submissions. The papers cover a wide range of topics related to human-human communication modeling and processing, as well as to human-computer interaction, using several communication modalities. Special focus is given to the analysis of non-verbal communication cues and social signal processing, the analysis of communicative content, audio-visual scene analysis, speech processing, interactive systems and applications.
Machine Learning for Multimodal Interaction ; 4th International Workshop, MLMI 2007, Brno, Czech Republic, June 28-30, 2007, Revised Selected Papers
This book contains a selection of revised papers from the 4th Workshop on Machine Learning for Multimodal Interaction (MLMI 2007), which took place in Brno, Czech Republic, during June 28 30, 2007. As in the previous editions of the MLMI series, the 26 chapters of this book cover a large area of topics, from multimodal processing and human computer interaction to video, audio, speech and language processing. The application of machine learning techniques to problems arising in these felds and the design and analysis of software
Machine Learning Applications in Civil Engineering
Discusses machine learning and deep learning models for different civil engineering applications. These models work for stochastic methods wherein internal processing is done using randomized prototypes. The book explains various machine learning model designs that will assist researchers to design multi domain systems with maximum efficiency. It introduces Machine Learning and its applications to different Civil Engineering tasks, including Basic Machine Learning Models for data pre-processing, models for data representation, classification models for Civil Engineering Applications, Bioinspired Computing models for Civil Engineering, and their case studies.
Machine learning and deep learning in medical data analytics and healthcare applications
Introduces and explores a variety of schemes designed to empower, enhance, and represent multi-institutional and multi-disciplinary machine learning (ML) and deep learning (DL) research in healthcare paradigms. Serving as a unique compendium of existing and emerging ML/DL paradigms for the healthcare sector, this book demonstrates the depth, breadth, complexity, and diversity of this multi-disciplinary area. It provides a comprehensive overview of ML/DL algorithms and explores the related use cases in enterprises such as computer-aided medical diagnostics, drug discovery and development, medical imaging, automation, robotic surgery, electronic smart records creation, outbreak prediction, medical image analysis, and radiation treatments.
Machine Learning Algorithms Using Python Programming
Presents the key concepts of Machine Learning which includes Python concepts and Interpreter, Foundation of Machine Learning, Data Pre-processing, Supervised Machine Learning, Unsupervised Machine Learning, Reinforcement Learning, Kernel Machine, Design and analysis of Machine Learning experiment and Data visualization. The theoretical concepts along with coding implementation are covered. This book aims to pursue a middle ground between a theoretical textbook and one that focuses on applications. The book concentrates on the important ideas in machine learning.
Lunar and planetary rovers : The wheels of apollo and the Quest for Mars
Provides extensive quotes from the astronauts who drove the LRV on the Moon from interviews conducted especially for the book. It also details new material from interviews of engineers and managers at the Jet Propulsion Laboratory covering the robotic rovers, Sojourner, Sprit and Opportunity. The Foreword is written by David R. Scott, Commander of Apollo 15. Chapter 1: From Concept to Reality; Chapter 2: Lunar Roving Vehicle Subsystems; Chapter 3: Training for the Moon; Chapter 4: To the Hadley Plains; Chapter 4: Mysterious and Unknown Descartes; Chapter 5: Destiny at Taurus-Littrow; Chapter Six: The Quest for Mars-Chapter Seven: The New Vision of Exploration.
lt-Form : Indeterminacy and Disorder
Aims to reach peripheral disciplines in order to support an architecture that no longer operates as a standalone field of study, and is rather one that responds to broader, urgent and pluralistic cultural shifts.
LRFD Bridge Design : Fundamentals and Applications
Examines and explains material from the 9th edition of the AASHTO LRFD Bridge Design Specifications, including deck and parapet design, load calculations, limit states and load combinations, concrete and steel I-girder design, bearing design, and more. With increased focus on earthquake resiliency, two separate chapters– one on conventional seismic design and the other on seismic isolation applied to bridges– will fully address this vital topic. The primary focus is on steel and concrete I-girder bridges, with regard to both superstructure and substructure design. / Includes several worked examples for a project bridge as well as actual bridges designed by the author / Examines seismic design concepts and design details for bridges / Presents the latest material based on the 9th edition of the LRFD Bridge Design Specifications / Covers fatigue, strength, service, and extreme event limit states / Includes numerous solved problems and exercises at the end of each chapter to illustrate the concepts presented
Low-Power Low-Voltage Sigma-Delta Modulators in Nanometer CMOS
At the system level, a novel systematic study on the full feedforward Sigma-Delta topology is presented in this book. As a design example, a fourth-order single-loop full feedforward Sigma-Delta modulator design in a 130-nm pure digital CMOS technology is presented. This design is the first design using the full feedforward Sigma-Delta topology and reaches the highest conversion speed among all the 1-V Sigma-Delta modulators to date.
Low-Power High-Speed ADCs for Nanometer CMOS Integration
Low-Power High-Speed ADCs for Nanometer CMOS Integration is about the design and implementation of ADC in nanometer CMOS processes that achieve lower power consumption for a given speed and resolution than previous designs, through architectural and circuit innovations that take advantage of unique features of nanometer CMOS processes. A phase lock loop (PLL) clock multiplier has also been designed using new circuit techniques and successfully tested.
Low-Cost Approaches to Promote Physical and Mental Health : Theory, Research, and Practice
Most physical and mental health professionals will agree that their time, space, and funds are generally in short supply, even under optimal conditions. Their participants (clients or patients), too, will admit to similar deficits of time and patience, even with optimal motivation. Overburdened mental health facilities are trying to cope with limited budgets and overworked and underpaid personnel. Low-Cost Approaches to Promote Physical and Mental Health addresses both sides of this shortfall by offering either self-administered or easily administered verbal and non-verbal interventions designed to promote positive health behaviors while requiring little or no outside funding.
Low Power VCO Design in CMOS
The performance of voltage controlled oscillators (VCO) is of extreme importance for any telecommunication or data communication system. This practical guide develops a systematic, fully-integrated LC-VCO design for low power and low phase noise, especially useful to meet the demands on mobile devices such as cell phones. The proposed VCO design approaches are experimentally verified with several fully integrated CMOS VCOs. The concise presentation is offered in three parts (VCO design; CMOS devices for VCO design; and fully-integrated CMOS DESIGNS) and supplemented by an appendix summarizing the state of the art.
Low Power Uwb Cmos Radar Sensors
Low Power UWB CMOS Radar Sensors deals with the problem of designing low cost CMOS radar sensors. The radar sensor uses UWB signals in order to obtain a reasonable target separation capability, while maintaining a maximum signal frequency below 2 GHz. This maximum frequency value is well within the reach of current CMOS technologies. The use of UWB signals means that most of the methodologies used in the design of circuits and systems that process narrow band signals, can no longer be applied. Low Power UWB CMOS Radar Sensors provides an analysis between the interaction of UWB signals, the antennas and the processing circuits.
Low Power Methodology Manual : For System-on-Chip Design
"Tools alone aren't enough to reduce dynamic and leakage power in complex chip designs - a well-planned methodology is needed. Following in the footsteps of the successful Reuse Methodology Manual (RMM), authors from ARM and Synopsys have written this Low Power Methodology Manual (LPMM) to describe [such] [a] low-power methodology with a practical, step-by-step approach." "Excellent compendium of low-power techniques and guidelines with balanced content spanning theory and practical implementation. The LPMM is a very welcome addition to the field of low power SoC implementation that has for many years operated in a largely ad-hoc fashion."
Low Molecular Mass Gelators : Design, Self-Assembly, Function
Chapter 1 presents the physical principles of the growth mechanism of fiber and fiber network with LMGs, as treated on the basis of the heterogeneous nucleation model. in Chaps. 2 and 3, respectively. These chapters are intended to outline useful synthetic guidelines for the generation of an ever-increasing variety of molecular architectures within these two families of gelators. Recent developments in the chemistry of nucleobase-containing LMGs are described in Chap. 4. Hydrogen-bonding within these molecular systems involves complementary base pair formation, a process relevant to DNA double-helix formation The self-assembly of chiral organo- or hydrogelators is the subject of Chap. 5. result from the orthogonal self-assembly of liquid crystals and LMGs are presented in Chap. 6. The volume concludes with Chap. 7, a review of the emerging field of dendritic gels.
Low impact building : Housing using renewable materials
Guides to the designs, technologies and materials that really make green buildings work will help architects, specifiers and clients make informed choices, based on reliable technical information. Low Impact Building: Housing using Renewable Materials is about changing the way we build houses to reduce their 'carbon' footprint and to minimise environmental damage. One of the ways this can be done is by reducing the energy and environmental impact of the materials and resources used to construct buildings by choosing alternative products and systems. In particular, we need to recognise the potential for using natural and renewable construction materials as a way to reduce both carbon emissions but also build in a more benign and healthy way.
Logistics Systems Analysis
It has two new sections, a new appendix, and more than half a dozen new figures. A few references have also been added, Much of the new material is based on work , The financial support of the National Science Foundation and the Volvo Foundations Center of Excellence for the Future of Urban Transportation at U. C. Berkeley is also acknowledged. The new appendix presents the logic behind the traveling salesman and vehicle routing results used in Sec. 4. 2 to describe the transportation ope- tion; Chapter 4 is more self-contained as a result. New section 5. 6 int- duces and evaluates a general method that automatically translates the c- tinuum approximation recipes of Chapters 4 and 5 into discrete system designs. This closes a gap in previous editions. Other additions include an explanation of how to develop system designs that can efficiently acc- modate real-time control strategies to manage uncertainty (new section 4. 6. 3), and extensions of the many-to-many design ideas of Chap. 6
Logistics Systems : Design and Optimization
In a context of global competition, the optimization of logistics systems is inescapable. LOGISTICS SYSTEMS: Design and Optimization falls within this perspective and presents twelve chapters that well illustrate the variety and the complexity of logistics activities. Each chapter is written by recognized researchers who have been commissioned to survey a specific topic or emerging area of logistics. The first chapter, by Riopel, Langevin, and Campbell, develops a framework for the entire book. It classifies logistics decisions and highlights the relevant linkages to logistics decisions. The intricacy of these linkages demonstrates how thoroughly the decisions are interrelated and underscores the complexity of managing logistics activities. Each of the following chapters focus on quantitative methods for the design and optimization of logistics systems.
