الصفحة 2
الصفحة 2
Speech, Audio, Image and Biomedical Signal Processing using Neural Networks
Humans are remarkable in processing speech, audio, image and some biomedical signals. Artificial neural networks are proved to be successful in performing several cognitive, industrial and scientific tasks. This peer reviewed book presents some recent advances and surveys on the applications of artificial neural networks in the areas of speech, audio, image and biomedical signal processing. It consists of 18 chapters prepared by some reputed researchers and practitioners around the globe.
Spatial Coherence for Visual Motion Analysis ; 1st International Workshop, SCVMA 2004, Prague, Czech Republic, May 15, 2004, Revised Papers
This book constitutes the thoroughly refereed post-proceedings of the First International Workshop on Spatial Coherence for Visual Motion Analysis, 2004, held in May 2004. The papers in this volume cover a wide range in the field of motion analysis that is a central problem in computer vision.
Spatial Analysis and GeoComputation : Selected Essays
Spatial analysis has been in existence for a long time. More recently, GeoComputation - a new computationally intensive paradigm - is changing research practice in spatial analysis. Coupled with improvements in data availability and increases in computer memory and speed, novel perspectives and techniques from the field of computational intelligence give rise to new types of geocomputational concepts, models, and techniques in spatial analysis. This volume contains selected essays of Manfred M. Fischer in the field of spatial analysis from the perspective of GeoComputation. The volume is structured in four parts. The first sets the context by dealing with broad issues related with spatial analysis and the role of GIS. The second relates to computational intelligence technologies such as neural networks that provide a new style of performing spatial modelling and analysis tasks in geography and other spatial sciences. The third part provides the theoretical framework required and displays the efficient use of various adaptive pattern classifiers in remote sensing environments. The final part outlines the latest, most significant developments in neural spatial interaction modelling.
Solar Energy Fundamentals and Modeling Techniques : Atmosphere, Environment, Climate Change and Renewable Energy
Collects together material from the current literature in atmospheric environmental sciences, climate change research, meteorology, engineering and renewable energy, liberally illustrated by diagrams and worked examples.the book includes an innovative exposition of expert system methodologies used in the domain of solar irradiation and energy. In addition to methodologies such as statistics and geo-statistics (regionalized variables), new modeling approaches such as fuzzy logic inference, artificial neural network (ANN) and genetic algorithm techniques are introduced, along with both classical Kriging and newly developed techniques for spatial solar irradiation modeling.
Soft Computing in Industrial Applications : Recent and Emerging Methods and Techniques
Soft Computing admits approximate reasoning, imprecision, uncertainty and partial truth in order to mimic aspects of the remarkable human capability of making decisions in real-life and ambiguous environments. "Soft Computing in Industrial Applications" contains a collection of papers that were presented at the 11th On-line World Conference on Soft Computing in Industrial Applications, held in September-October 2006. This carefully edited book provides a comprehensive overview of the recent advances in the industrial applications of soft computing and covers a wide range of application areas, including data analysis and data mining, computer graphics, intelligent control, systems, pattern recognition, classifiers, as well as modeling optimization. The book is aimed at researchers and practitioners who are engaged in developing and applying intelligent systems principles to solving real-world problems. It is also suitable as wider reading for science and engineering postgraduate students.
Soft Computing in Image Processing : Recent Advances
"Soft Computing in Image Processing: Recent Advances" follows the edited volumes "Fuzzy Techniques in Image Processing" (volume 52, published in 2000) and "Fuzzy Filters for Image Processing" (volume 122, published in 2003), and covers a wide range of both practical and theoretical applications of soft computing in image processing. The 16 excellent chapters of the book have been grouped into five parts: Applications in Remote Sensing, Applications in Image Retrieval, Applications in Image Analysis, Other Applications, and Theoretical Contributions. The focus of the book is on practical applications, which makes it interesting for every researcher that is involved with soft computing, image processing, or both scientific branches.
Soft Computing for Knowledge Discovery and Data Mining
The first three parts of this book are devoted to the principal constituents of soft computing: neural networks, evolutionary algorithms and fuzzy logic. The last part compiles the recent advances in soft computing for data mining, such as swarm intelligence, diffusion process and agent technology. This book provides investigators in the fields of information systems, engineering, computer science, operations research, bio-informatics, statistics and management with a profound source for the role of soft computing in data mining.
Soft Computing for Hybrid Intelligent Systems
Soft Computing (SC) consists of several intelligent computing paradigms, including fuzzy logic, neural networks, and evolutionary algorithms, This edited book comprises papers on diverse aspects of soft computing and hybrid intelligent systems. There are theoretical aspects as well as application papers. The first part consists of papers with the main theme of intelligent control, The second part contains papers with the main theme of pattern recognition, The third part contains papers with the themes of intelligent agents and social systems, The fourth part contains papers that deal with the hardware implementation of intelligent systems for solving particular problems. The fifth part contains papers that deal with modeling, simulation and optimization for real-world applications.
Soft Computing as Transdisciplinary Science and Technology ; Proceedings of the fourth IEEE International Workshop WSTST´05
Presents the proceedings of the Fourth International Workshop on Soft Computing as Transdisciplinary Science and Technology (WSTST '05), May 25-27, 2005, Muroran, Japan. It brings together the original work of international soft computing/computational intelligence researchers, developers, practitioners, and users. This proceedings provide contributions to all areas of soft computing including intelligent hybrid systems, agent-based systems, intelligent data mining, decision support systems, cognitive and reactive distributed artificial intelligence (AI), internet modelling, human interface, and applications in science and technology.
Soft Computing Applications in Industry
Presents several important papers contributed by some of the well-known scientists from all over the globe. The application domains discussed in this book include: agroecology, bioinformatics, branched fluid-transport network layout design, dam scheduling, data analysis and exploration, detection of phishing attacks, distributed terrestrial transportation, fault detection of motors, fault diagnosis of electronic circuits, fault diagnosis of power distribution systems, flood routing, hazard sensing, health care, industrial chemical processes, knowledge management in software development, local multipoint distribution systems, missing data estimation, parameter calibration of rainfall intensity models, parameter identification for systems engineering, petroleum vessel mooring, query answering in P2P systems, real-time strategy games, robot control, satellite heat pipe design, monsoon rainfall forecasting, structural design, tool condition monitoring, vehicle routing, water network design, etc.
Soft Computing Applications in Business
Soft computing techniques are widely used in most businesses. This book consists of several important papers on the applications of soft computing techniques for the business field.The soft computing techniques used in this book include (or very closely related to): Bayesian networks, biclustering methods, case-based reasoning, data mining, Dempster-Shafer theory, ensemble learning, evolutionary programming, fuzzy decision trees, hidden Markov models, intelligent agents, k-means clustering, maximum likelihood Hebbian learning, neural networks, opportunistic scheduling, probability distributions combined with Monte Carlo methods, rough sets, self organizing maps, support vector machines, uncertain reasoning, other statistical and machine learning techniques, and combinations of these techniques.
Soft Computing and Signal Processing ; Proceedings of 3rd ICSCSP 2020 ; Vol.2
Presents selected research papers on current developments in the fields of soft computing and signal processing from the Third International Conference on Soft Computing and Signal Processing (ICSCSP 2020). The book covers topics such as soft sets, rough sets, fuzzy logic, neural networks, genetic algorithms and machine learning and discusses various aspects of these topics, e.g., technological considerations, product implementation and application issues.
Soft Computing and its Engineering Applications ; 2nd International Conference, icSoftComp 2020, Changa, Anand, India, December 11–12, 2020, Proceedings
Constitutes the refereed proceedings of the Second International Conference on Soft Computing and its Engineering Applications, icSoftComp 2020, held in Changa, India, in December 2020. Due to the COVID-19 pandemic the conference was held online. The 24 full papers and 4 short papers presented were carefully reviewed and selected from 252 submissions. The papers present recent research on theory and applications in fuzzy computing, neuro computing, and evolutionary computing.
Soft Computing : Techniques and its Applications in Electrical Engineering
This book is an introduction to some new fields in soft computing with its principal components of fuzzy logic, ANN and EA. The approach in this book is to provide an understanding of the soft computing field and to work through soft computing using examples. In this book a cross-section of these techniques is introduced and their applications illustrated by examples from physical systems based on the author’s own research. It will provide a good introduction to a reader interested in this subject.
Soft Computing : Methodologies and Applications
This carefully edited book covers a wide range of application areas of soft computing like optimization, data analysis and data mining, fault diagnosis, control as well as traffic and transportation systems. It contains 25 revised contributions from the 8th Online World Conferences on Soft Computing (WSC8). The collected papers show how the major soft computing techniques, fuzzy systems, neural networks and evolutionary algorithms and especially hybrid systems combining methods from these fields, lead to successful industrial applications. The reader will find an interesting, inspiring and wide variety of soft computing techniques and applications in this book.
Smart robot navigation
The project aims at designing an autonomous robot equipped with a camera capable of safe navigation in an outdoor environment by developing a model that predict the steering angle using images obtained from the camera mimics the driver's vision, and then the reaction, control of the vehicle. Based on the images from the cameras gained in the manual mode, the neural network is trained using deep learning. Using this trained deep neural network leads to autonomous driving. The driver behavioral cloning algorithm developed on this project is based on the NVIDIA convolutional neural network model. This project will help people to use their time in more useful way than driving, also this will help people with disabilities, and reduce accidents. Udacity self-driving car simulator is used to test the performance of the model in real time.
Sleep Neurology : A Comprehensive Guide to Basic and Clinical Aspects
This practical text provides knowledge of the basic neuroscience of sleep and sleep disorders as they interrelate with various neurologic conditions.Chapters in the first section cover neural networks involved in normal sleep processes, including dreams and memory. Also discussed are how these neural networks interact in various sleep stages and sleep disorders, such as sleep related movement disorders. The book's second section explores the pathophysiology of sleep disorders in the spectrum of neurologic conditions in both adults and children. This includes sleep changes in patients with dementia, seizures, headaches, and stroke, and other common neurologic disorders.
Sistemi ACM e imaging diagnostico : Le immagini mediche come matrici attive di connessioni = ACM systems and diagnostic imaging : Medical images as active matrices of connections
The first hypothesis underlying ACM (Active Connections Matrix) systems is that each N-dimensional image can be transformed into a network of interconnected pixels that develops over time through local, deterministic, and iterative operations. The transformed image can display, in a larger dimensional space, morphological and dynamic regularities that, in the original dimensions, would be invisible or could be classified as noise. This hypothesis allows us to explain the second hypothesis underlying ACM systems: each image contains within it the inherent mathematics that produced it. In practice, it is as if each image concealed within it two other invisible images. ACM systems extract them and make them visible. The work also describes possible applications in diagnostic imaging and is therefore aimed at physicists, computer scientists, radiologists, and laboratory technicians who work in image processing.
Simulated Evolution and Learning ; 7th International Conference, SEAL 2008, Melbourne, Australia, December 7-10, 2008. Proceedings
Covers are evolutionary learning; evolutionary optimisation; hybrid learning; adaptive systems; theoretical issues in evolutionary computation; and real-world applications of evolutionary computation techniques.
Simulated Evolution and Learning ; 6th International Conference, SEAL 2006, Hefei, China, October 15-18, 2006, Proceedings
Constitutes the refereed proceedings of the 6th International Conference on Simulated Evolution and Learning, SEAL 2006, held in Hefei, China in October 2006. The 117 revised full papers presented were carefully reviewed and selected from 420 submissions.
