Adaptive Systems with Reduced Models (Encyclopedia of Plant Physiology, #47)
by P.A. Ioannou
Current experimental systems in industry, government, and the military take advantage of knowledge-based processing. For example, the Defense Advanced Research Projects Agency (DARPA), and the United States Geological Survey (USGS) are supporting the develop ment of information systems that contain diverse, vast, and growing repositories of data (e.g., vast databases storing geographic informa tion). These systems require powerful reasoning capabilities and pro cessing such as data processing...
Algorithmic Learning Theory - Alt '92 (Lecture Notes in Physics, #743)
This book constitutes the proceedings of the 7th International Conference on Wireless and Satellite Services, WiSATS 2015, held in Bradford, UK, in July 2015. The conference was formerly known as the International Conference on Personal Satellite Services (PSATS) mainly covering topics in the satellite domain. As the scope of the conference widened to include wireless systems, the conference was renamed to WiSATS. The 29 revised papers were presented at the conference in three technical sessions...
Tangible Modeling with Open Source GIS
by Anna Petrasova, Brendan Harmon, Vaclav Petras, and Helena Mitasova
This book presents a new type of modeling environment where users interact with geospatial simulations using 3D physical models of studied landscapes. Multiple users can alter the physical model by hand during scanning, thereby providing input for simulation of geophysical processes in this setting. The authors have developed innovative techniques and software that couple this hardware with open source GRASS GIS, making the system instantly applicable to a wide range of modeling and design prob...
This brief highlights the use of various Machine Learning (ML) algorithms to evaluate training and competitional strategies in Volleyball, as well as to identify high-performance players in the sport. Several psychological elements/strategies coupled with human performance parameters are discussed in view to ascertain their impact on performance in elite Volleyball competitions. It presents key performance indicators as well as human performance parameters that can be used in future evaluation o...
Cover all the machine learning techniques relevant for forecasting problems, ranging from univariate and multivariate time series to supervised learning, to state-of-the-art deep forecasting models such as LSTMs, recurrent neural networks, Facebook’s open-source Prophet model, and Amazon’s DeepAR model. Rather than focus on a specific set of models, this book presents an exhaustive overview of all the techniques relevant to practitioners of forecasting. It begins by explaining the different cat...
The book offers a comprehensive and timely overview of advanced mathematical tools for both uncertainty analysis and modeling of parallel processes, with a special emphasis on intuitionistic fuzzy sets and generalized nets. The different chapters, written by active researchers in their respective areas, are structured to provide a coherent picture of this interdisciplinary yet still evolving field of science. They describe key tools and give practical insights into and research perspectives on t...
Machines will attain human levels of intelligence by the year 2040, predicts robotics expert Hans Moravec. And by 2050, they will have far surpassed us. In this mind-bending new book, Hans Moravec takes the reader on a roller coaster ride packed with such startling predictions. He tells us, for instance, that in the not-too-distant future, an army of robots will displace workers, causing massive, unprecedented unemployment. But then, says Moravec, a period of very comfortable existence w...
User care at home is a matter of great concern since unforeseen circumstances might occur that affect people's well-being. Technologies that assist people in independent living are essential for enhancing care in a cost-effective and reliable manner. Assisted care applications often demand real-time observation of the environment and the resident’s activities using an event-driven system. As an emerging area of research and development, it is necessary to explore the approaches of the user care...
Exploring the Fascinating World of Natural Language Processing (NLP)
by Daniel Huston
Introduction to Applied Mathematics (Texts in Applied Mathematics, #1)
by Lawrence Sirovich
From the Preface: "The material in this book is based on notes for a course which I gave several times at Brown University. The target of the course was juniors and seniors majoring in applied mathematics, engineering and other sciences. My basic goal in the course was to teach standard methods, or what I regard as a basic "bag of tricks". In my opinion the material contained here, for the most part, does not depart widely from traditional subject matter. One such departure is the discussion of...
iPhone 13 User Guide and Manual, Tips and Tricks for Beginners
by Ben O Adrian
Bayesian Optimization with Application to Computer Experiments (SpringerBriefs in Statistics)
by Tony Pourmohamad and Herbert Lee
This book introduces readers to Bayesian optimization, highlighting advances in the field and showcasing its successful applications to computer experiments. R code is available as online supplementary material for most included examples, so that readers can better comprehend and reproduce methods. Compact and accessible, the volume is broken down into four chapters. Chapter 1 introduces the reader to the topic of computer experiments; it includes a variety of examples across many industries....
Graph Theory, Computational Intelligence and Thought (Lecture Notes in Computer Science / Theoretical Computer Sci)
Web Intelligence: Research and Development (Lecture Notes in Computer Science, #2198) (Lecture Notes in Artificial Intelligence, #2198)
This volume contains the papers selected for presentation at the First Asia- Paci?c Conference on Web Intelligence (WI 2001) held in Maebashi TERRSA, Maebashi City,Japan,October 23-26,2001. It was sponsored by ACM SIGART and Maebashi Institute of Technology,in cooperation with ACM SIGCHI,ACM SIGWEB,the Japanese Society for Arti?cial Intelligence (JSAI),JSAI SIGFAI, JSAI SIGKBS,and IEICE SIGKBSE. The conference was held jointly with the Second Asia-Paci?c Conference on Intelligent Agent Technolog...
Object-oriented programming (OOP) is recognized as a powerful programming technique, whose power lies in the ability it gives the software designer to manage the complex, rapidly changing applications that have become the watchword of modern software. Smalltalk is the most extensively used OOP environment. This volume has been designed to help users focus on aspects of the Smalltalk language necessary for successful programming. It describes important classes and theories, and then puts these id...
Visual Computing (Augmented Vision and Reality, #4)
This volume aims to stimulate discussions on research involving the use of data and digital images as an understanding approach for analysis and visualization of phenomena and experiments. The emphasis is put not only on graphically representing data as a way of increasing its visual analysis, but also on the imaging systems which contribute greatly to the comprehension of real cases. Scientific Visualization and Imaging Systems encompass multidisciplinary areas, with applications in many knowl...
Mendel 2015 (Advances in Intelligent Systems and Computing, #378)
This book is a collection of selected accepted papers of Mendel conference that has been held in Brno, Czech Republic in June 2015. The book contents three chapters which represent recent advances in soft computing including intelligent image processing and bio-inspired robotics.: Chapter 1: Evolutionary Computing, and Swarm intelligence, Chapter 2: Neural Networks, Self-organization, and Machine Learning, and Chapter3: Intelligent Image Processing, and Bio-inspired Robotics. The Mendel conferen...