الصفحة 11
الصفحة 11
Information and communication technologies in education, research, and industrial applications ; 16th International Conference, ICTERI 2020, Kharkiv, Ukraine, October 6–10, 2020, Revised Selected Papers
This book contains revised and extended versions of the best papers presented at the 16th International Conference on Information and Communication Technologies in Education, Research, and Industrial Applications, ICTERI 2020, held in Kherson, Ukraine, in October 2020. Due to the COVID-19 pandemic the conference was held online. The 8 revised full papers included in this volume were carefully reviewed and selected from 347 initial submissions. The papers are organized in the following topical sections: ICT in education; ICT in research and industry.
Inductive logic programming ; 17th International Conference, ILP 2007, Corvallis, OR, USA, June 19-21, 2007, Revised Selected Papers
The 18th International Conference on Inductive Logic Programming was held in Prague, September 10–12, 2008. ILP returned to Prague after 11 years, and it is tempting to look at how the topics of interest have evolved during that time. The ILP community clearly continues to cherish its beloved ?rst-order logic representation framework. This is legitimate, as the work presented at ILP 2008 demonstrated that there is still room for both extending established ILP approaches (such as inverse entailment) and exploring novel logic induction frameworks (such as brave induction). Besides the topics lending ILP research its unique focus.
Independent component analysis and signal separation ; 7th International Conference, ICA 2007, London, UK, September 9-12, 2007, Proceedings
Independent Component Analysis and Signal Separation has applications at the intersection of many science and engineering disciplinesconcernedwithunderstandingandextractingusefulinformationfrom data as diverse as neuronal activity and brain images, bioinformatics, com- nications, the World Wide Web, audio, video, sensor signals, or time series.
Inclusive radio communications for 5G and beyond
Based on the COST IRACON project that consists of 500 researchers from academia and industry, with 120 institutions from Europe, US and the Far East involved. The book presents state-of-the-art design and analysis methods for 5G (and beyond) radio communication networks, along with key challenges and issues related to the development of 5G networks.
Improvements in System Safety ; Proceedings of the Sixteenth Safety-critical Systems Symposium, Bristol, UK, 5-7 February 2008
Improvements in System Safety contains the full complement of papers presented at the sixteenth annual Safety-critical Systems Symposium, held at Bristol, UK, in February 2008.The Symposium is for engineers, managers and academics in the field of safety, across all industry sectors, and so the papers included in this volume offer a wide-ranging coverage of major safety issues as well as a good blend of academic research and industrial experience. They include discussions of some of the most recent developments in the field.
IMPROVE - Innovative modelling approaches for production systems to raise validatable efficiency : Intelligent methods for the factory of the future
This open access work presents selected results from the European research and innovation project IMPROVE which yielded novel data-based solutions to enhance machine reliability and efficiency in the fields of simulation and optimization, condition monitoring, alarm management, and quality prediction.
Implementing machine learning for finance : A systematic approach to predictive risk and performance analysis for investment portfolios
Introduces pattern recognition and future price forecasting that exerts effects on time series analysis models, such as the Autoregressive Integrated Moving Average (ARIMA) model, Seasonal ARIMA (SARIMA) model, and Additive model, and it covers the Least Squares model and the Long Short-Term Memory (LSTM) model. It presents hidden pattern recognition and market regime prediction applying the Gaussian Hidden Markov Model. The book covers the practical application of the K-Means model in stock clustering. It establishes the practical application of the Variance-Covariance method and Simulation method (using Monte Carlo Simulation) for value at risk estimation. It also includes market direction classification using both the Logistic classifier and the Multilayer Perceptron classifier. Finally, the book presents performance and risk analysis for investment portfolios. You will: Understand the fundamentals of the financial market and algorithmic trading, as well as supervised and unsupervised learning models that are appropriate for systematic investment portfolio management / Know the concepts of feature engineering, data visualization, and hyperparameter optimization / Design, build, and test supervised and unsupervised ML and DL models / Discover seasonality, trends, and market regimes, simulating a change in the market and investment strategy problems and predicting market direction and prices / Structure and optimize an investment portfolio with preeminent asset classes and measure the / underlying risk
Impact of artificial intelligence on organizational transformation
Covers the areas like artificial intelligence & its impact on professions, as well as machine learning algorithms and technologies. The context of applications of AI in business process innovation primarily includes new business models, AI readiness and maturity at the organizational, technological, financial, and cultural levels. The book has extensive details on machine learning and the applications such as robotics, blockchain, Internet of Things. Also discussed are the influence of AI on financial strategies and policies, human skills & values, procurement innovation, production innovation, AI in marketing & sales platforms.
Image Processing Using Pulse-Coupled Neural Networks
This is the first book to explain and demonstrate the tremendous ability of Pulse-Coupled Neural Networks (PCNNs) when applied to the field of image processing. PCNNs and their derivatives are biologically inspired models that are powerful tools for extracting texture, segments, and edges from images.
Image and video encryption : From digital rights management to secured personal communication
Image and Video Encryption provides a unified overview of techniques for encryption of images and video data. This ranges from commercial applications like DVD or DVB to more research oriented topics and recently published material. This volume introduces different techniques from unified viewpoint, then evaluates these techniques with respect to their respective properties (e.g., security, speed.....). Encryption of visual data is an important topic in the area of mutimedia security, applications range from digital rights management (DVD, DVB) ) to secure personal communications. Within this topic area, we face several aims which contradict each other. What we thrive on is good compression, fast compression, high security, fast encryption, bitstream compliance, little power consumption and little memory requirements. The authors experimentally compare different approaches proposed in the literature and include an extensive bibliography of corresponding published material. Image and Video Encryption is designed for a professional audience composed of researchers and practitioners in industry. The book is also suitable for graduate-level students in computer science and electrical engineering.
Image Analysis and Recognition ; 17th International Conference, ICIAR 2020, Póvoa de Varzim, Portugal, June 24–26, 2020, Proceedings, Part I
This two-volume set LNCS 12131 and LNCS 12132 constitutes the refereed proceedings of the 17th International Conference on Image Analysis and Recognition, ICIAR 2020, held in Póvoa de Varzim, Portugal, in June 2020. The 54 full papers presented together with 15 short papers were carefully reviewed and selected from 123 submissions. The papers are organized in the following topical sections: image processing and analysis; video analysis; computer vision; 3D computer vision; machine learning; medical image and analysis; analysis of histopathology images; diagnosis and screening of ophthalmic diseases; and grand challenge on automatic lung cancer patient management.
Illustrated C# 2008
The unique, visual format of Illustrated C# 2008 has been specially created by author and teacher of development methods, Daniel Solis. The concise text, use of tables to clarify language features, frequent figures and diagrams, as well as focused code samples all combine to create a unique approach that will help you understand and get to work with C# fast. It was while teaching numerous seminars on various programming languages that the author realized the immense power that diagrams have in explaining programming language concepts. Most people learn quicker and retain information better when the material is presented in a clean, simple, visual format. To achieve this result in his book, Solis uses concise text and bulleted lists, tables to clarify and summarize language features, as well as his renowned and ubiquitous figures and diagrams.
Identification of nonlinear systems using neural networks and polynomial models : A block-oriented approach
The book gives a comparative study of their gradient approximation accuracy, computational complexity, and convergence rates and furthermore presents some new and original methods concerning the model parameter adjusting with gradient-based techniques. "Identification of Nonlinear Systems Using Neural Networks and Polynomal Models".
Hybrid Systems : Computation and Control ; Vol.3927 ; 9th International Workshop, HSCC 2006, Santa Barbara, CA, USA, March 29-31, 2006, Proceedings
The focus is on modeling, analysis, and implementation of dynamic and reactive systems involving both discrete and continuous behaviors. Topics addressed include tools for analysis and verification, control and optimization, modeling, engineering applications, and new directions in language support and implementation.
Hybrid Systems : Computation and Control ; 11th International Workshop, HSCC 2008, St. Louis, MO, USA, April 22-24, 2008. Proceedings
Contains the proceedings ofthe 11th Workshop on Hybrid Systems: Computation and Control (HSCC 2008) held in St. Louis, Missouriduring April 22–24,2008.The annual workshop on hybrid systems focuses on research inbedded ,reactive systems in volving theinterplay between symbolic/switchingand continuous dynamical behaviors. HSCC attracts academic as well as industrial researchers to exchange information on the latest developments of applications and theoretical advancements in the design, analysis, control, optimization, and implementation of hybrid systems, with particular attention to embedded and networked control systems. We would like to thank the Program Committee members and the reviewers for an excellent job of evaluating the submissions and participating in the online Program Committee discussions.
Hybrid Systems : Computation and Control ; Vol. # 3414 ; 8th International Workshop, HSCC 2005, Zurich, Switzerland, March 9-11, 2005, Proceedings
Contains the proceedings of the 8th Workshop on Hybrid S- tems: Computation and Control(HSCC2005)heldinZurich, Switzerlandduring March 9-11, 2005. The annual workshop on hybrid systems attracts researchers from academia and industry interested in modeling, analysis, and implemen- tion of dynamic and reactive systems involving both discrete and continuous - haviors. This year's HSCC was technically co-sponsored by the IEEE Control Systems Society. The program consisted of 3 invited talks and 40 regular papers selected from 91 regular submissions. The program covered topics such as tools for analysis and verification, control and optimization, modeling, engineering applications, and emerging directions in programming language support and implementation. We would like to thank the Program Committee members and reviewers for an excellent job of evaluating the submissions and participating in the online Program Committee discussions.
Hybrid Intelligent Systems for Pattern Recognition Using Soft Computing : An Evolutionary Approach for Neural Networks and Fuzzy Systems
This monograph describes new methods for intelligent pattern recognition using soft computing techniques including neural networks, fuzzy logic, and genetic algorithms. Hybrid intelligent systems that combine several soft computing techniques are needed due to the complexity of pattern recognition problems.
Hybrid Estimation of Complex Systems
This monograph provides a tool-set for hybrid estimation that can successfully monitor the behavior of complex artifacts with a large number of possible operational and failure modes such as production plants, automotive or aeronautic systems, and autonomous robots.
Human-Computer Interaction and Cybersecurity Handbook - Human Factors and Ergonomics
Covers all areas of human–computer interaction and human factors in cybersecurity Includes information for IT specialists, who often desire more knowledge about the human side of cybersecurity Provides a reference for other disciplines such as psychology, behavioral science, software engineering, and security management Offers a source of information for cybersecurity practitioners in government agencies and private enterprises Presents new areas such as smart networking and devices
Human-Computer Interaction : Interaction design and usability ; 12th International Conference, HCI International 2007, Beijing, China, July 22-27, 2007, Proceedings, Part I
The 12th International Conference on Human-Computer Interaction, HCI Inter- tional 2007, was held in Beijing, P.R. This volume, edited by Julie A. Jacko, contains papers in the thematic area of Human-Computer Interaction, addressing the following major topics: • Interaction Design: Theoretical Issues, Methods, Techniques and Practice • Usability and Evaluation Methods and Tools • Understanding Users and Contexts of Use • Models and Patterns in HCI
