Items where Department is "Information and Computer Science" and Year is 2016
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Automatic Vocalization of Arabic Text. Masters thesis, King Fahd University of Petroleum and Minerals.
A graph based feature selection approach for configuring software product lines. Masters thesis, King Fahd University of Petroleum and Minerals.
MODELS FOR CONDUCTING PROGRESS AND MILESTONE REVIEWS: IMPLEMENTATION OF CMMI LEVEL 2 SPECIFIC PRACTICES FOR SMALL AND MEDIUM-SIZED SOFTWARE DEVELOPMENT ORGANIZATIONS. Masters thesis, King Fahd University of Petroleum and Minerals.
Online Arabic Handwritten Text Recognition using Syntactical–Based Techniques. PhD thesis, King Fahd University of Petroleum and Minerals.
Development of Part-of-Arabic Word Corpus for Handwriting Text Recognition. Masters thesis, King Fahd University of Petroleum and Minerals.
AN INTEGRATED APPROACH FOR SOFT ERROR TOLERANCE OF COMBINATIONAL CIRCUITS. PhD thesis, King Fahd University of Petroleum and Minerals.
ONLINE ARABIC TEXT RECOGNITION USING STATISTICAL TECHNIQUES. Masters thesis, King Fahd University of Petroleum and Minerals.
Extending Sequence Diagrams for Better Comprehension of Program Control-flow. Masters thesis, King Fahd University of Petroleum and Minerals.
A Formal Executable Semantics of Orc using the K Framework. Masters thesis, King Fahd University of Petroleum and Minerals.
HySim: A Hybrid Software/Hardware Simulation Framework for Early Architectural Exploration of Chip Multiprocessors. PhD thesis, King Fahd University of Petroleum and Minerals.
EFFICIENT LOCALIZATION ALGORITHMS FOR WIRELESS GAS LEAKAGE DETECTION IN OIL/GAS INDUSTRY. PhD thesis, King Fahd University of Petroleum and Minerals.
SCADA SECURITY ASSESSMENT UNDER CYBER ATTACKS. Masters thesis, King Fahd University of Petroleum and Minerals.
A decision model for work distribution in global software development. Masters thesis, King Fahd University of Petroleum and Minerals.
IMMUNE-INSPIRED PREDICTIVE MODELS FOR EMAIL CLASSIFICATION AND SPAM FILTERING. Masters thesis, King Fahd University of Petroleum and Minerals.