Search Results - (( developing sentence validation algorithm ) OR ( java implication based algorithm ))

BMTutor research design: Malay sentence parse tree visualization by Muhamad Noor, Yusnita, Jamaludin, Zulikha

“…This paper discusses the research design for BMTutor.BMTutor is a prototype for visualizing Malay sentences that is combined with sentence checker, sentence correction and word attribute components.The purpose of BMTutor is to check sentence validation, provide sentence correction for invalid sentence used and produce parse tree visualization.The research design involved can be divided into four phases; categorizing sentence and produce repository (Phase1), developing models and algorithms (Phase 2); development of a prototype (Phase 3); and prototype testing (Phase 4).To date, this system is the only one designed with the functions and characteristics as in BMTutor.There are two BM parsers to check the validity of simple BM sentences had been developed.Both parsers performed three phases in research design, namely 1) the collection of sentence or CFG, 2) develop a prototype, and 3) conduct evaluation.The phases involved are the basic method in developing a prototype. …”
Get full text
Get full text
Get full text

Representing semantics of text by acquiring its canonical form by Taiye, Mohammed Ahmed, Kamaruddin, Siti Sakira, Ahmad, Farzana Kabir

Get full text
Get full text

The implications for ahybrid detection technique against malicious sqlattacks on web applications by Bahjat Arif, Sarajaldeen Akram, Wani, Sharyar

Get full text
Get full text
Get full text

MFCC based recognition of repetitions and prolongations in stuttered speech using k-NN and LDA by Lim, Sin Chee, Ooi, Chia Ai, Hariharan, Muthusamy, Sazali, Yaacob, Prof.

Get full text

Complex word identification model for lexical simplification in the Malay language for non-native speakers by Salehah, Omar

“…This corpus is divided into training and testing data using k-fold cross-validation, where k=10. A series of tests were performed to ensure the best model was produced, including feature selection, generation of an improved stemmer algorithm, data imbalances, and classifier testing. …”
Get full text
Get full text
Get full text

Digital Quran With Storage Optimization Through Duplication Handling And Compressed Sparse Matrix Method by Ashraf Saleh Mohammad Alomoush

Validation of deep convolutional neural network for age estimation in children using mandibular premolars on digital panoramic dental imaging / Norhasmira Mohammad by Mohammad, Norhasmira

“…In addition, the software development based on the suggested method is currently in Technology Readiness Level 4, which means the technology has been validated in the lab. …”
Get full text
Get full text