Modeling Approaches and Algorithms for Advanced Computer Applications

Modeling Approaches and Algorithms for Advanced Computer Applications PDF Author: Abdelmalek Amine
Publisher: Springer
ISBN: 331900560X
Category : Technology & Engineering
Languages : en
Pages : 443

Get Book Here

Book Description
"During the last decades Computational Intelligence has emerged and showed its contributions in various broad research communities (computer science, engineering, finance, economic, decision making, etc.). This was done by proposing approaches and algorithms based either on turnkey techniques belonging to the large panoply of solutions offered by computational intelligence such as data mining, genetic algorithms, bio-inspired methods, Bayesian networks, machine learning, fuzzy logic, artificial neural networks, etc. or inspired by computational intelligence techniques to develop new ad-hoc algorithms for the problem under consideration. This volume is a comprehensive collection of extended contributions from the 4th International Conference on Computer Science and Its Applications (CIIA’2013) organized into four main tracks: Track 1: Computational Intelligence, Track 2: Security & Network Technologies, Track 3: Information Technology and Track 4: Computer Systems and Applications. This book presents recent advances in the use and exploitation of computational intelligence in several real world hard problems covering these tracks such as image processing, Arab text processing, sensor and mobile networks, physical design of advanced databases, model matching, etc. that require advanced approaches and algorithms borrowed from computational intelligence for solving them.

Modeling Approaches and Algorithms for Advanced Computer Applications

Modeling Approaches and Algorithms for Advanced Computer Applications PDF Author: Abdelmalek Amine
Publisher: Springer
ISBN: 331900560X
Category : Technology & Engineering
Languages : en
Pages : 443

Get Book Here

Book Description
"During the last decades Computational Intelligence has emerged and showed its contributions in various broad research communities (computer science, engineering, finance, economic, decision making, etc.). This was done by proposing approaches and algorithms based either on turnkey techniques belonging to the large panoply of solutions offered by computational intelligence such as data mining, genetic algorithms, bio-inspired methods, Bayesian networks, machine learning, fuzzy logic, artificial neural networks, etc. or inspired by computational intelligence techniques to develop new ad-hoc algorithms for the problem under consideration. This volume is a comprehensive collection of extended contributions from the 4th International Conference on Computer Science and Its Applications (CIIA’2013) organized into four main tracks: Track 1: Computational Intelligence, Track 2: Security & Network Technologies, Track 3: Information Technology and Track 4: Computer Systems and Applications. This book presents recent advances in the use and exploitation of computational intelligence in several real world hard problems covering these tracks such as image processing, Arab text processing, sensor and mobile networks, physical design of advanced databases, model matching, etc. that require advanced approaches and algorithms borrowed from computational intelligence for solving them.

Modeling Approaches and Algorithms for Advanced Computer Applications

Modeling Approaches and Algorithms for Advanced Computer Applications PDF Author: Abdelmalek Amine
Publisher: Springer
ISBN: 9783319005614
Category : Computers
Languages : en
Pages : 440

Get Book Here

Book Description
"During the last decades Computational Intelligence has emerged and showed its contributions in various broad research communities (computer science, engineering, finance, economic, decision making, etc.). This was done by proposing approaches and algorithms based either on turnkey techniques belonging to the large panoply of solutions offered by computational intelligence such as data mining, genetic algorithms, bio-inspired methods, Bayesian networks, machine learning, fuzzy logic, artificial neural networks, etc. or inspired by computational intelligence techniques to develop new ad-hoc algorithms for the problem under consideration. This volume is a comprehensive collection of extended contributions from the 4th International Conference on Computer Science and Its Applications (CIIA’2013) organized into four main tracks: Track 1: Computational Intelligence, Track 2: Security & Network Technologies, Track 3: Information Technology and Track 4: Computer Systems and Applications. This book presents recent advances in the use and exploitation of computational intelligence in several real world hard problems covering these tracks such as image processing, Arab text processing, sensor and mobile networks, physical design of advanced databases, model matching, etc. that require advanced approaches and algorithms borrowed from computational intelligence for solving them.

Engineering Applications of Neural Networks

Engineering Applications of Neural Networks PDF Author: John Macintyre
Publisher: Springer
ISBN: 3030202577
Category : Computers
Languages : en
Pages : 554

Get Book Here

Book Description
This book constitutes the refereed proceedings of the 19th International Conference on Engineering Applications of Neural Networks, EANN 2019, held in Xersonisos, Crete, Greece, in May 2019. The 35 revised full papers and 5 revised short papers presented were carefully reviewed and selected from 72 submissions. The papers are organized in topical sections on AI in energy management - industrial applications; biomedical - bioinformatics modeling; classification - learning; deep learning; deep learning - convolutional ANN; fuzzy - vulnerability - navigation modeling; machine learning modeling - optimization; ML - DL financial modeling; security - anomaly detection; 1st PEINT workshop.

Information Fusion and Geographic Information Systems (IF&GIS' 2015)

Information Fusion and Geographic Information Systems (IF&GIS' 2015) PDF Author: Vasily Popovich
Publisher: Springer
ISBN: 3319166670
Category : Science
Languages : en
Pages : 173

Get Book Here

Book Description
These Workshop Proceedings reflect problems concerning advanced geo-information science with a special emphasis on deep virtualization for mobile GIS. They present papers from leading scientists engaged in research on environmental issues from a modeling, analysis, information processing and visualization perspective, as well as practitioners involved in GIS and GIS applications development. The proceedings examine in detail problems regarding scientific and technological innovations and deep virtualization for mobile GIS, its potential applications, and the monitoring, planning and simulation of urban systems with respect to economic trends as related to: Artificial intelligence; Knowledge-based GIS; Spatial ontologies in GIS; Positioning and analyzing moving information; Energy GIS; GIS data integration and modeling; Environmental management; Urban GIS; Transportation GIS; Underwater acoustics and GIS; GIS and real-time monitoring systems; GIS algorithms and computational issues; Data reliability and quality assurance for open data; Spatial and data quality; and lastly Open source GIS.

Methods and Techniques of Signal Processing in Physical Measurements

Methods and Techniques of Signal Processing in Physical Measurements PDF Author: Robert Hanus
Publisher: Springer
ISBN: 3030111873
Category : Technology & Engineering
Languages : en
Pages : 434

Get Book Here

Book Description
This book discusses selected issues of modern electrical metrology in the fields of sensor technology, signal processing and measurement systems, addressing theoretical problems and applications regarding measurements in electrical engineering, mechanics, telecommunications, medicine and geology, as well as in the aviation and transport industries. It presents selected papers from the XXII International Seminar of Metrology “Methods and Techniques of Signal Processing in Physical Measurements” (MSM2018) held in Rzeszów-Arłamów, Poland on September 17–20, 2018. The conference was organized by the Rzeszow University of Technology, Department of Metrology and Diagnostic Systems (Poland) and Lviv Polytechnic National University, Department of Information Measuring Technology (Ukraine). The book provides researchers and practitioners with insights into the state of the art in these areas, and also serves as a source of new ideas for further development and cooperation.

Modelling and Implementation of Complex Systems

Modelling and Implementation of Complex Systems PDF Author: Salim Chikhi
Publisher: Springer
ISBN: 3319334107
Category : Technology & Engineering
Languages : en
Pages : 340

Get Book Here

Book Description
This volume is a comprehensive collection of extended contributions from the fourth international symposium on Modeling and Implementing Complex Systems (MICS’2106) organized into four main topics: Networking and Cloud Computing, Software Engineering and Formal Methods, Intelligent and Information Systems, and Algorithms and Complexity. This book presents recent advances related to theory and applications of networking and distributed computing, including: cloud computing, software engineering, formal methods, information extraction, optimization algorithms, intelligent systems, and multi-agent systems.

Optimal Coverage in Wireless Sensor Networks

Optimal Coverage in Wireless Sensor Networks PDF Author: Weili Wu
Publisher: Springer Nature
ISBN: 3030528243
Category : Mathematics
Languages : en
Pages : 300

Get Book Here

Book Description
This book will serve as a reference, presenting state-of-the-art research on theoretical aspects of optimal sensor coverage problems. Readers will find it a useful tool for furthering developments on theory and applications of optimal coverage; much of the content can serve as material for advanced topics courses at the graduate level. The book is well versed with the hottest research topics such as Lifetime of Coverage, Weighted Sensor Cover, k-Coverage, Heterogeneous Sensors, Barrier, Sweep and Partial Coverage, Mobile Sensors, Camera Sensors and Energy-Harvesting Sensors, and more. Topics are introduced in a natural order from simple covers to connected covers, to the lifetime problem. Later, the book begins revisiting earlier problems ranging from the introduction of weights to coverage by k sensors and partial coverage, and from sensor heterogeneity to novel problems such as the barrier coverage problem. The book ends with coverage of mobile sensors, camera sensors, energy-harvesting sensors, underwater sensors, and crowdsensing.

Information Systems and Technologies to Support Learning

Information Systems and Technologies to Support Learning PDF Author: Álvaro Rocha
Publisher: Springer
ISBN: 3030035778
Category : Technology & Engineering
Languages : en
Pages : 725

Get Book Here

Book Description
This book features a selection of articles from the second edition of the conference Europe Middle East & North Africa Information Systems and Technologies to Support Learning 2018 (EMENA-ISTL'18), held in Fez, Morocco between 25th and 27th October 2018. EMENA-ISTL’18 was a global forum for researchers and practitioners to present and discuss recent findings and innovations, current trends, professional experiences and challenges in information systems & technologies to support learning. The main topics covered are: A) information systems technologies to support education; B) education in science, technology, engineering and Mathematics; C) emerging technologies in education learning innovation in the digital age; D) software systems, architectures, applications and tools; E) multimedia systems and applications; F) computer communications and networks; G) IOT, smart cities and people, wireless, sensor and ad-hoc networks; H) organizational models and information systems and technologies; I) human–computer Interaction; J) computers & security, ethics and data-forensic; K) health informatics, and medical informatics security; l) information and knowledge management; m) big data analytics and applications, intelligent data systems, and machine learning; n) artificial intelligence, high performance computing; o) mobile, embedded and ubiquitous systems; p) language and image processing, computer graphics and vision; and q) the interdisciplinary field of fuzzy logic and data mining.

Biometric Security and Privacy

Biometric Security and Privacy PDF Author: Richard Jiang
Publisher: Springer
ISBN: 3319473018
Category : Technology & Engineering
Languages : en
Pages : 423

Get Book Here

Book Description
This book highlights recent research advances on biometrics using new methods such as deep learning, nonlinear graph embedding, fuzzy approaches, and ensemble learning. Included are special biometric technologies related to privacy and security issues, such as cancellable biometrics and soft biometrics. The book also focuses on several emerging topics such as big data issues, internet of things, medical biometrics, healthcare, and robot-human interactions. The authors show how these new applications have triggered a number of new biometric approaches. They show, as an example, how fuzzy extractor has become a useful tool for key generation in biometric banking, and vein/heart rates from medical records can also be used to identify patients. The contributors cover the topics, their methods, and their applications in depth.

Economic Consequence Analysis of Disasters

Economic Consequence Analysis of Disasters PDF Author: Adam Rose
Publisher: Springer
ISBN: 9811025673
Category : Business & Economics
Languages : en
Pages : 176

Get Book Here

Book Description
This study develops a methodology for rapidly obtaining approximate estimates of the economic consequences from numerous natural, man-made and technological threats. This software tool is intended for use by various decision makers and analysts to obtain estimates rapidly. It is programmed in Excel and Visual Basic for Applications (VBA) to facilitate its use. This tool is called E-CAT (Economic Consequence Analysis Tool) and accounts for the cumulative direct and indirect impacts (including resilience and behavioral factors that significantly affect base estimates) on the U.S. economy. E-CAT is intended to be a major step toward advancing the current state of economic consequence analysis (ECA) and also contributing to and developing interest in further research into complex but rapid turnaround approaches. The essence of the methodology involves running numerous simulations in a computable general equilibrium (CGE) model for each threat, yielding synthetic data for the estimation of a single regression equation based on the identification of key explanatory variables (threat characteristics and background conditions). This transforms the results of a complex model, which is beyond the reach of most users, into a "reduced form" model that is readily comprehensible. Functionality has been built into E-CAT so that its users can switch various consequence categories on and off in order to create customized profiles of economic consequences of numerous risk events. E-CAT incorporates uncertainty on both the input and output side in the course of the analysis.