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Khaled Elleithy, Tarek Sobh
(Beteiligte)
Innovations in Computing Sciences and Software Engineering
Herausgegeben von Sobh, Tarek; Elleithy, Khaled
2010. 2014. xix, 638 S. 260 mm
Verlag/Jahr: SPRINGER NETHERLANDS; SPRINGER 2014
ISBN: 9400794169 (9400794169)
Neue ISBN: 978-9400794160 (9789400794160)
Preis und Lieferzeit: Bitte klicken
Innovations in Computing Sciences and Software Engineering includes a set of rigorously reviewed world-class manuscripts addressing and detailing state-of-the-art research projects in the areas of Computer Science, Software Engineering, Computer Engineering, and Systems Engineering and Sciences.
Topics Covered:
Image and Pattern Recognition : Compression, Image processing, Signal Processing Architectures, Signal Processing for Communication, Signal Processing Implementation, Speech Compression, and Video Coding Architectures.
Languages and Systems : Algorithms, Databases, Embedded Systems and Applications, File Systems and I/O, Geographical Information Systems, Kernel and OS Structures, Knowledge Based Systems, Modeling and Simulation, Object Based Software Engineering, Programming Languages, and Programming Models and tools.
Parallel Processing : Distributed Scheduling, Multiprocessing, Real-time Systems, Simulation Modeling and Development, and Web Applications.
Signal and Image Processing : Content Based Video Retrieval, Character Recognition, Incremental Learning for Speech Recognition, Signal Processing Theory and Methods, and Vision-based Monitoring Systems.
Software and Systems : Activity-Based Software Estimation, Algorithms, Genetic Algorithms, Information Systems Security, Programming Languages, Software Protection Techniques, Software Protection Techniques, and User Interfaces.
Distributed Processing : Asynchronous Message Passing System, Heterogeneous Software Environments, Mobile Ad Hoc Networks, Resource Allocation, and Sensor Networks.
New trends in computing : Computers for People of Special Needs, Fuzzy Inference, Human Computer Interaction, Incremental Learning, Internet-based Computing Models, Machine Intelligence, Natural Language.