Originating from models of biological neural systems, artificial neural networks (ANN) are the cornerstones of artificial intelligence research. Catalyzed by the upsurge in computational power and ava
Lv et al. (Sichuan U., China) focus on the convergence analysis of subspace learning algorithms of neural networks and the ways to extend the use of these networks in fields like biomedical signal pro
Continuing in the footsteps of the pioneering first edition, Signal and Image Processing for Remote Sensing, Second Edition explores the most up-to-date signal and image processing methods for dealing
Illustrating essential aspects of adaptive image processing from a computational intelligence viewpoint, the second edition of Adaptive Image Processing: A Computational Intelligence Perspective provi
Image Processing with MATLABR: Applications in Medicine and Biology explains complex, theory-laden topics in image processing through examples and MATLABR algorithms. It describes classical as well em
Though mathematical ideas underpin the study of neural networks, the author presents the fundamentals without the full mathematical apparatus. All aspects of the field are tackled, including artificia
In contrast to classical image analysis methods that employ "crisp" mathematics, fuzzy set techniques provide an elegant foundation and a set of rich methodologies for diverse image-processing tasks.
This book contains invited lecturers and full papers presented at VIPIMAGE 2011 - III ECCOMAS Thematic Conference on Computational Vision and Medical Image Processing (Olhão, Algarve, Portugal,
Artificial neural networks (ANN) can provide new insight into the study of composite materials and can normally be combined with other artificial intelligence tools such as expert system, genetic algo
In the development of digital multimedia, the importance and impact of image processing and mathematical morphology are well documented in areas ranging from automated vision detection and inspection
For structural engineers and inspectors using cameras for inspection - especially underwater inspections of offshore and marine structures using image-based methods. How to obtain imagery, image proce
Digital image processing and analysis is a field that continues to experience rapid growth, with applications in many facets of our lives. Areas such as medicine, agriculture, manufacturing, transport
The broad range of G protein-coupled receptors (GPCRs) encompasses all areas of modern medicine and have an enormous impact on the process of drug development. Using disease-oriented methods to cover
This book discusses machine learning algorithms, such as artificial neural networks of different architectures, statistical learning theory, and Support Vector Machines used for the classification and
Computational Vision and Medical Image Processing, VIPIMAGE 2009 contains the full papers presented at VIPIMAGE 2009 - Second ECCOMAS Thematic Conference on Computational Vision and Medical Image Proc
An account of the applicability of expert systems, neural networks, genetic algorithms and other intelligent software in product formulation, including an explanation of the technology involved and ex
"As multimedia applications have become part of contemporary daily life, numerous paradigm-shifting technologies in multimedia processing have emerged over the last decade. Substantially updated with
This edition presents the most prominent topics and applications of digital image processing, analysis, and computer graphics in the field of cultural heritage preservation. The text assumes prior kno
Pulse-jet filtration is described as one of the most efficient technologies in controlling industrial pollution across the world. This work presents the fundamental concepts involved in designing and
Whether obtained by microscopes, space probes, or the human eye, the same basic tools can be applied to acquire, process, and analyze the data contained in images. Ideal for self study, The Image Proc
Find the right algorithm for your image processing applicationExploring the recent achievements that have occurred since the mid-1990s, Circular and Linear Regression: Fitting Circles and Lines by Lea
Rapid evolution of technical advances in infrared sensor technology, image processing, “smart” algorithms, databases, and system integration paves the way for new methods of research and use in medica
Neural tube defects (NTDs) are one of the most common birth defects, occurring in approximately one in 1,000 live births in the United States. Exploring the many clinical presentations of these condit
Deep brain stimulation has been used effectively for many years in patients suffering from Parkinson's disease. Now, neurologists and neurosurgeons are using electric pulse generators (somewhat like a
The First International Conference on Signal and Information Processing, Networking and Computers (ICSINC) focuses on the key technologies and challenges of signal and information processing schemes,
During the last decade, Wireless Sensor Networks (WSNs) have received the wider attention from researchers and academia. Recently, a new generation wireless sensor multimedia networks (WSMN) has captu
This book focuses on the future of wireless networks. It consists of three sections: future wireless network architectures, protocols and enabling technologies for future wireless networks, and servic
Since publication of the first edition of this book, Aseptic Processing and Packaging of Food, significant changes have taken place in several aseptic processing and packaging areas. These include cha
"Mathematical Foundations for Signal Processing, Communications, and Networking describes mathematical concepts and results important in the design, analysis, and optimization of signal processing alg
Guiding readers through the basics of these rapidly emerging networks to more advanced concepts and future expectations, Mobile Ad hoc Networks: Current Status and Future Trends identifies and examine
Ozilgen (food engineering, Yeditepe U., Turkey) presents a textbook for students of chemical engineering using the principles and techniques of that field to model food processing. He works on the rul
Unsupervised Signal Processing: Channel Equalization and Source Separation provides a unified, systematic, and synthetic presentation of the theory of unsupervised signal processing. Always maintainin
When the first edition of Poultry Meat Processing was published, it provided a complete presentation of the theoretical and practical aspects of poultry meat processing, exploring the complex mix of b
Energy efficiency, environmental protection, and processing waste management continue to attract increased attention in the food processing industry. As with other industrial sectors, reducing costs w
Written for practicing engineers seeking to strengthen their practical grasp of random signal processing, Discrete Random Signal Processing and Filtering Primer with MATLAB provides the opportunity t
Wireless mesh networks (WMN) encompass a new area of technology set to play an important role in the next generation wireless mobile networks. WMN is characterized by dynamic self-organization, self-c
Using spin to replace or augment the role of charge in signal processing devices, computing systems and circuits may improve speed, power consumption, and device density in some cases—making the study
The potential of photonic signal processing (PSP) to overcome electronic limits for processing ultra-wideband signals, provide signal conditioning that can be integrated in line with fiber optic syste
Food processing generally implies the transformation of the perishable raw food into value-added products; however, the procedures may influence food’s nutritional quality attributes, such as increase
The book introduces the most relevant interconnection networks, queuing strategies, and routing algorithm. It discusses their properties and how these leverage the performance of the whole interconnec
