Search Results - (( software extraction process algorithm ) OR ( java application design algorithm ))
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Challenges of hidden data in the unused area two within executable files
Published 2009“…Approach: The system designed to accommodate the release mechanism that consists of two functions; first is the hiding of the information in the unused area 2 of PE-file (exe.file), through the execution of four process (specify the cover file, specify the information file, encryption of the information, and hiding the information) and the second function is the extraction of the hiding information through three process (specify the steno file, extract the information, and decryption of the information). …”
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RSA Encryption & Decryption using JAVA
Published 2006“…The implementation of this project will be based on Rapid Application Design Methodology (RAD) and will be more focusing on research and finding, ideas and the implementation of the algorithm, and finally running and testing the algorithm. …”
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Final Year Project -
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Provider independent cryptographic tools
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Automatic document clustering and indexing of multiple documents using KNMF for feature extraction through Hadoop and lucene on big data
Published 2023“…Automatic indexing; Big data; Cluster analysis; Extraction; Factorization; Indexing (of information); Information retrieval; K-means clustering; Natural language processing systems; Open source software; Open systems; Pattern matching; Software quality; Software testing; Text mining; Hadoop; Key phrase extractions; Map-reduce; Pattern-matching technique; Porters; Pre-processing algorithms; Software environments; Unlabeled; Matrix algebra…”
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Extracting features from online software reviews to aid requirements reuse
Published 2016“…The aim of this paper is to propose a semi-automated approach, known as Feature Extraction for Reuse of Natural Language requirements (FENL), to extract phrases that can represent software features from software reviews in the absence of SRS as a way to initiate the RR process. …”
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Pattern discovery using k-means algorithm
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Conference or Workshop Item -
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Extracting features from online software reviews to aid requirements reuse
Published 2016“…The aim of this paper is to propose a semi-automated approach, known as Feature Extraction for Reuse of Natural Language requirements (FENL), to extract phrases that can represent software features from soft- ware reviews in the absence of SRS as a way to initiate the RR process. …”
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Feature identification in a real surface metrology analysis by means of Double Iteration Sobel (DIS) / Ainaa Farhanah Mohd Razali
Published 2022“…The process of development and implementation of DIS is carried out using MATLAB software and the image of the surface topography is then analysed to retrieve the results. …”
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Thesis -
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Audio Streaming System Using Real-Time Transport Protocol Based on Java Media Framework
Published 2004“…Java Media Framework library and the RTP protocol for audio transmission were used as development tools.The developed system designed in this thesis together with experimental results proved that the system could be implemented successfully. …”
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Thesis -
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Video Object Segmentation
Published 2009“…This project is researched oriented and is software based by using Image Processing Toolbox from MATLAB.…”
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Final Year Project -
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Controller And Circuitry Design And Implementation For Fire Fighting Robot For MIROC 2014 Competition
Published 2014“…The software algorithm design can be broken into two parts; the navigation algorithm, which controls the movement of the actual robot, and the motor control algorithm, which provides for stability. …”
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Final Year Project -
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Jogging activity recognition using k-NN algorithm
Published 2022“…The finding in this project is the k-NN algorithm is good feature extraction and classifier. …”
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Academic Exercise -
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Feature extraction from natural language to aid requirements reuse in software product lines engineering / Noor Hasrina Bakar
Published 2016“…Then, linguistic tagging is applied to extract software features followed by applying simple clustering algorithms to form groups of common features. …”
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