تصفح حسب المؤلف "Jaoua, Ali"
السجلات المعروضة 1 -- 20 من 41
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A Goal-Oriented Fault Tolerance Software Enhanced by Critical Information Code Protection
( IEEE Computer Society , 2020 , Conference)Currently, during runtime, programs are mostly uncontrollable objects. They are very vulnerable to either transient or permanent, external, or internal contaminations of the program state. Here one finds a new method that ... -
A novel approach for handedness detection from off-line handwriting using fuzzy conceptual reduction
( Springer International Publishing , 2016 , Article)A challenging area of pattern recognition is the recognition of handwritten texts in different languages and the reduction of a volume of data to the greatest extent while preserving associations (or dependencies) between ... -
An Arabic-based tutorial system for children with special needs
( Springer , 2012 , Conference)In spite of the current advance of the use of computers in education in the Arab world, complete suites of solutions for students with special needs are very scarce. This paper presents an assistive system managing learning ... -
An assistive computerized system for children with intellectual and learning disabilities
( Springer , 2009 , Conference)This work proposes an assistive computerized system using the Arabic language for children with intellectual and learning disabilities (ILD) who are resident at Shafallah Center in Doha, Qatar. The system is flexible and ... -
An Integrated Framework For Verified And Fault Tolerant Software
( Hamad bin Khalifa University Press (HBKU Press) , 2014 , Conference)Fault tolerance techniques should let the program continue servicing in spite of the presence of errors. They are of primary importance mainly in case of mission-critical systems. Their eventual failure may produce important ... -
Anomalies detection in software by conceptual learning from normal executions
( Institute of Electrical and Electronics Engineers Inc. , 2020 , Article)Could we detect anomalies during the run-time of a program by learning from the analysis of its previous traces for normally completed executions? In this paper we create a featured data set from program traces at run time, ... -
Authenticity detection as a binary text categorization problem: Application to Hadith authentication
( IEEE Computer Society , 2016 , Conference)Authentication of Hadiths (sayings of Prophet Muhammad) is very important field for religious scholars as well as historians. Authenticity verification is traditionally conducted by studying how trustworthy is each person ... -
Automatic Category Detection Of Islamic Content On The Internet Using Hyper Concept Keyword Extraction And Random Forest Classification
( Hamad bin Khalifa University Press (HBKU Press) , 2014 , Conference)The classification of Islamic content on the Internet is a very important step towards authenticity verification. Many Muslims complain that the information they get from the Internet is either inaccurate or simply wrong. ... -
Bagged Randomized Conceptual Machine Learning Method
(2018 , Master Thesis)Formal concept analysis (FCA) is a scientific approach aiming to investigate, analyze and represent the conceptual knowledge deduced from the data in conceptual structures (lattice). Recently many researchers are counting ... -
Conceptual Based Hidden Data Analytics and Reduction Method for System Interface Enhancement Through Handheld devices
(2016 , Master Thesis)With the increasing demand placed on online systems by users, many organizations and companies are seeking to enhance their online interfaces to facilitate the search process on their hidden databases. Usually, users issue ... -
Conceptual Data Classification: Application for Knowledge Extraction
( John Wiley & Sons, Ltd , 2005 , Book chapter) -
Conceptual data sampling for breast cancer histology image classification
( Elsevier Ltd , 2017 , Article)Data analytics have become increasingly complicated as the amount of data has increased. One technique that is used to enable data analytics in large datasets is data sampling, in which a portion of the data is selected ... -
Conceptual data sampling for image segmentation- an application for breast cancer images
(2017 , Master Thesis)At the present time data analytics have become a buzzword for the in- formation technology sector. In an attempt to analyze data; one may follow various paths. Be it deploying sophisticated technologies to process big ... -
A conceptual heuristic for solving the maximum clique problem
(2017 , Master Thesis)The maximum clique problem (MCP) is the problem of finding the clique with maximum cardinality in a graph. It has been intensively studied for years by computer scientists and mathematicians. It has many practical applications ... -
Conceptual Interactive Search Engine Interface for Visually Impaired Web Users
( IEEE Computer Society , 2019 , Conference)The Internet is the main source of information nowadays. Consequently, end users need to be knowledgeable about how to use search engines in order to locate relevant information in a reasonable time with minimal effort. ... -
ConProve: A conceptual prover system
( IEEE , 2014 , Conference)ConProve is an automated prover for propositional logic. It takes, as an input, a set of propositional formulas and proves whether a goal holds or not. ConProve converts each formula to its corresponding Truth Table Binary ... -
Cooperative Conceptual Retrieval for Heterogeneous Information
( IEEE , 2006 , Conference)The potentials of formal concept analysis (FCA) for information retrieval have been highlighted by a number of research studies since its inception. With the advent of the Web along with the unprecedented amount of information ... -
Data Mining, Reasoning and Incremental Information Retrieval through Non Enlargeable Rectangular Relation Coverage
( Springer Berlin / Heidelberg , 2009 , Conference)Association rules extraction from a binary relation as well as reasoning and information retrieval are generally based on the initial representation of the binary relation as an adjacency matrix. This presents some ... -
EFFICIENT SKYLINE SYSTEM DEVELOPMENT FOR NORMAL AND HIDDEN DATABASES: APPLICATION FOR GOOGLE FLIGHTS
(2018 , Professional Masters Project)Deep web databases provide strict search interface and limited web access with top-k results based on a pre-defined ranking function. However, top-k results may not be suitable for multi-criteria decision making because ... -
General learning approach for event extraction: Case of management change event
( SAGE Publications Ltd , 2013 , Article)Starting from an ontology of a targeted financial domain corresponding to transaction, performance and management change news, relevant segments of text containing at least a domain keyword are extracted. The linguistic ...
