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International e-Conference on Computer Science (IeCCS 2005)

Fundamentals of Computer Graphics

Probability and Statistics for Computer Scientists

Probability and Statistics for Computer Scientists

Praise for the Second Edition: The author has done his homework on the statistical tools needed for the particular challenges computer scientists encounter. [He] has taken great care to select examples that are interesting and practical for computer scientists. . The content is illustrated with numerous figures and concludes with appendices and an index. The book is erudite and … could work well as a required text for an advanced undergraduate or graduate course. Computing Reviews Probability and Statistics for Computer Scientists Third Edition helps students understand fundamental concepts of Probability and Statistics general methods of stochastic modeling simulation queuing and statistical data analysis; make optimal decisions under uncertainty; model and evaluate computer systems; and prepare for advanced probability-based courses. Written in a lively style with simple language and now including R as well as MATLAB this classroom-tested book can be used for one- or two-semester courses. Features: Axiomatic introduction of probability Expanded coverage of statistical inference and data analysis including estimation and testing Bayesian approach multivariate regression chi-square tests for independence and goodness of fit nonparametric statistics and bootstrap Numerous motivating examples and exercises including computer projects Fully annotated R codes in parallel to MATLAB Applications in computer science software engineering telecommunications and related areas In-Depth yet Accessible Treatment of Computer Science-Related TopicsStarting with the fundamentals of probability the text takes students through topics heavily featured in modern computer science computer engineering software engineering and associated fields such as computer simulations Monte Carlo methods stochastic processes Markov chains queuing theory statistical inference and regression. It also meets the requirements of the Accreditation Board for Engineering and Technology (ABET). About the Author Michael Baron is David Carroll Professor of Mathematics and Statistics at American University in Washington D. C. He conducts research in sequential analysis and optimal stopping change-point detection Bayesian inference and applications of statistics in epidemiology clinical trials semiconductor manufacturing and other fields. M. Baron is a Fellow of the American Statistical Association and a recipient of the Abraham Wald Prize for the best paper in Sequential Analysis and the Regents Outstanding Teaching Award. M. Baron holds a Ph. D. in statistics from the University of Maryland. In his turn he supervised twelve doctoral students mostly employed on academic and research positions.

GBP 99.99
1

Computer Aided Policy Making

Applied Computer Vision and Soft Computing with Interpretable AI

Intelligent Systems and Applications in Computer Vision

Intelligent Systems and Applications in Computer Vision

The book comprehensively covers a wide range of evolutionary computer vision methods and applications feature selection and extraction for training and classification and metaheuristic algorithms in image processing. It further discusses optimized image segmentation its analysis pattern recognition and object detection. Features: Discusses machine learning-based analytics such as GAN networks autoencoders computational imaging and quantum computing Covers deep learning algorithms in computer vision Showcases novel solutions such as multi-resolution analysis in imaging processing and metaheuristic algorithms for tackling challenges associated with image processing Highlight optimization problems such as image segmentation and minimized feature design vector Presents platform and simulation tools for image processing and segmentation The book aims to get the readers familiar with the fundamentals of computational intelligence as well as the recent advancements in related technologies like smart applications of digital images and other enabling technologies from the context of image processing and computer vision. It further covers important topics such as image watermarking steganography morphological processing and optimized image segmentation. It will serve as an ideal reference text for senior undergraduate graduate students and academic researchers in fields including electrical engineering electronics communications engineering and computer engineering. | Intelligent Systems and Applications in Computer Vision

GBP 140.00
1

Computer Graphics Through OpenGL From Theory to Experiments

Computer Graphics Through OpenGL From Theory to Experiments

COMPREHENSIVE COVERAGE OF SHADERS THE PROGRAMMABLE PIPELINE AND WEBGL From geometric primitives to animation to 3D modeling to lighting shading and texturing Computer Graphics Through OpenGL®: From Theory to Experiments is a comprehensive introduction to computer graphics which uses an active learning style to teach key concepts. Equally emphasizing theory and practice the book provides an understanding not only of the principles of 3D computer graphics but also the use of the OpenGL® Application Programming Interface (API) to code 3D scenes and animation including games and movies. The undergraduate core of the book takes the student from zero knowledge of computer graphics to a mastery of the fundamental concepts with the ability to code applications using fourth-generation OpenGL® as well as using WebGL® in order to publish to the web. The remaining chapters explore more advanced topics including the structure of curves and surfaces applications of projective spaces and transformations and the implementation of graphics pipelines. This book can be used for introductory undergraduate computer graphics courses over one to two semesters. The careful exposition style attempting to explain each concept in the simplest terms possible should appeal to the self-study student as well. Features Covers the foundations of 3D computer graphics including animation visual techniques and 3D modeling Comprehensive coverage of OpenGL® 4. x including the GLSL and vertex fragment tessellation and geometry shaders Comprehensive coverage of WebGL® 2. 0. Includes 440 programs and experiments Contains 700 exercises 100 worked examples and 650 four-color illustrations Requires no previous knowledge of computer graphics Balances theory with programming practice using a hands-on interactive approach to explain the underlying concepts | Computer Graphics Through OpenGL® From Theory to Experiments

GBP 110.00
1

Computer Vision and Image Processing Fundamentals and Applications

Disruptive Trends in Computer Aided Diagnosis

Disruptive Trends in Computer Aided Diagnosis

Disruptive Trends in Computer Aided Diagnosis collates novel techniques and methodologies in the domain of content based image classification and deep learning/machine learning techniques to design efficient computer aided diagnosis architecture. It is aimed to highlight new challenges and probable solutions in the domain of computer aided diagnosis to leverage balancing of sustainable ecology. The volume focuses on designing efficient algorithms for proposing CAD systems to mitigate the challenges of critical illnesses at an early stage. State-of-the-art novel methods are explored for envisaging automated diagnosis systems thereby overriding the limitations due to lack of training data sample annotation region of interest identification proper segmentation and so on. The assorted techniques addresses the challenges encountered in existing systems thereby facilitating accurate patient healthcare and diagnosis. Features: An integrated interdisciplinary approach to address complex computer aided diagnosis problems and limitations. Elucidates a rich summary of the state-of-the-art tools and techniques related to automated detection and diagnosis of life threatening diseases including pandemics. Machine learning and deep learning methodologies on evolving accurate and precise early detection and medical diagnosis systems. Information presented in an accessible way for students researchers and medical practitioners. The volume would come to the benefit of both post-graduate students and aspiring researchers in the field of medical informatics computer science and electronics and communication engineering. In addition the volume is also intended to serve as a guiding factor for the medical practitioners and radiologists in accurate diagnosis of diseases.

GBP 115.00
1

Handbook of Computer Programming with Python

Brain–Computer Interfaces Handbook Technological and Theoretical Advances

Brain–Computer Interfaces Handbook Technological and Theoretical Advances

Brain–Computer Interfaces Handbook: Technological and Theoretical Advances provides a tutorial and an overview of the rich and multi-faceted world of Brain–Computer Interfaces (BCIs). The authors supply readers with a contemporary presentation of fundamentals theories and diverse applications of BCI creating a valuable resource for anyone involved with the improvement of people’s lives by replacing restoring improving supplementing or enhancing natural output from the central nervous system. It is a useful guide for readers interested in understanding how neural bases for cognitive and sensory functions such as seeing hearing and remembering relate to real-world technologies. More precisely this handbook details clinical therapeutic and human-computer interfaces applications of BCI and various aspects of human cognition and behavior such as perception affect and action. It overviews the different methods and techniques used in acquiring and pre-processing brain signals extracting features and classifying users’ mental states and intentions. Various theories models and empirical findings regarding the ways in which the human brain interfaces with external systems and environments using BCI are also explored. The handbook concludes by engaging ethical considerations open questions and challenges that continue to face brain–computer interface research. Features an in-depth look at the different methods and techniques used in acquiring and pre-processing brain signals extracting features and classifying the user's intention Covers various theories models and empirical findings regarding ways in which the human brain can interface with the systems or external environments Presents applications of BCI technology to understand various aspects of human cognition and behavior such as perception affect action and more Includes clinical trials and individual case studies of the experimental therapeutic applications of BCI Provides human factors and human-computer interface concerns in the design development and evaluation of BCIs Overall this handbook provides a synopsis of key technological and theoretical advances that are directly applicable to brain–computer interfacing technologies and can be readily understood and applied by individuals with no formal training in BCI research and development. | Brain–Computer Interfaces Handbook Technological and Theoretical Advances

GBP 99.99
1

Computer-Aided Glaucoma Diagnosis System

Computer-Aided Glaucoma Diagnosis System

Glaucoma is the second leading cause of blindness globally. Early detection and treatment can prevent its progression to avoid total blindness. This book discusses and reviews current approaches for detection and examines new approaches for diagnosing glaucoma using CAD system. Computer-Aided Glaucoma Diagnosis System Chapter 1 provides a brief introduction of the disease and current methodology used to diagnose it today. Chapter 2 presents a review of the medical background of the disease followed by a theoretical and mathematical background used in fundus image processing. Chapter 3 is a literature review about segmentation and feature extraction. Chapter 4 describes the formulation of the proposed methodology. In Chapter 5 the results of optic disc and optic cup segmentation algorithm are presented the feature extraction and selection method experimental results and performance evaluations of the classifier are given. Chapter 6 presents the conclusions and discussion of the future potential for the diagnostic system. This book is intended for biomedical engineers computer science students ophthalmologists and radiologists looking to develop a reliable automated computer-aided diagnosis system (CAD) for detecting glaucoma and improve diagnosis of the disease. Key Features Discusses a reliable automated computer-aided diagnosis system (CAD) for detecting glaucoma and presents an algorithm that detects optic disc and optic cup Assists ophthalmologists and researchers to test a new diagnostic method that reduces the effort and time of the doctors and cost to the patients Discusses techniques to reduce human error and minimize the miss detection rate and facilitate early diagnosis and treatment Presents algorithms to detect cup and disc color shape features and RNFL texture features Dr. Arwa Ahmed Gasm Elseid is an assistant professor Department of Biomedical Engineering Sudan University of Science and Technology Khartoum Sudan. Dr. Alnazier Osman Mohammed Hamza is professor of Medical Imaging College of Engineering Sudan University of Sciences and Technology Khartoum Sudan.

GBP 105.00
1

Brain Computer Interface EEG Signal Processing

Introduction to Mechanism Design with Computer Applications

Human-Computer Interaction and Cybersecurity Handbook

Computer Methods in Structural Analysis

Introduction to Financial Mathematics With Computer Applications

Computer-Assisted Literary Translation

Individual differences in Computer Assisted Language Learning Research

Simulating Nature A Philosophical Study of Computer-Simulation Uncertainties and Their Role in Climate Science and Policy Advice Second Edition

Wearable Brain-Computer Interfaces Prototyping EEG-Based Instruments for Monitoring and Control

GBP 120.00
1

Experimental Comparisons of Usability Evaluation Methods A Special Issue of Human-Computer Interaction