Search Results - (( developing implementation modified algorithm ) OR ( learning implementation case algorithm ))
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An ensemble of neural network and modified grey wolf optimizer for stock prediction
Published 2019“…The research implements stock prediction analysis as a case study for training the neural network by adopting MGWO algorithm. …”
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An evaluation of Monte Carlo-based hyper-heuristic for interaction testing of industrial embedded software applications.
Published 2020“…The results show the Q-EMCQ is also capable of outperforming the original EMCQ as well as several recent meta/hyper-heuristic including modified choice function, Tabu high-level hyperheuristic, teaching learning-based optimization, sine cosine algorithm, and symbiotic optimization search in clustering quality within comparable execution time.…”
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Using GA and KMP algorithm to implement an approach to learning through intelligent framework documentation
Published 2023“…The main objective of this paper is to propose and implement an intelligent framework documentation approach that integrates case-based learning (CBL) with genetic algorithm (GA) and Knuth-Morris-Pratt (KMP) pattern matching algorithm with the intention of making learning a framework more effective. …”
Conference paper -
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Grammarcheck: a dynamic LL (1) grammar checker using recursive descent parsing with chatbot assistance
Published 2025“…Additionally, the chatbot was using a modified waterfall methodology and was implemented using recursive descent parsing, an essential method for understanding LL (1) grammar, by allowing users to input and test grammar rules. …”
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Zero distortion-based steganography for handwritten signature
Published 2018“…This means that any changes on the cover media (c) could lead to the identification of the stego media (s), which contains the secret message (m). Thus, developing a steganographic algorithm to use cover media (c) without raising attention is the most challenging task in data hiding. …”
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Evaluation of structured questions using modified BLEU algorithm
Published 2016“…This paper describes and exemplifies an application of a Structured Exam Questions Test Bank and Evaluation Using Modified Bilingual Evaluation Understudy (BLEU) Algorithm, a software system developed in pursuit of robust computerized marking of free-text answers to open-ended questions.It employs the Information System Development Research Methodology with modified BLEU Algorithm and Expert System for similar words.The system was developed to facilitate in managing and administrating structured questions for client/server architecture based on intranet. …”
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Case Slicing Technique for Feature Selection
Published 2004“…CST was compared to other selected classification methods based on feature subset selection such as Induction of Decision Tree Algorithm (ID3), Base Learning Algorithm K-Nearest Nighbour Algorithm (k-NN) and NaYve Bay~sA lgorithm (NB). …”
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An experimental study of neighbourhood based metaheuristic algorithms for test case generation satisfying the modified condition / decision coverage criterion
Published 2018“…We have chosen four neighborhood based algorithms which are commonly used in optimization problems and divided them in newly implemented and re-implemented category. …”
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10
Modified Image Enhancement Algorithm For Dorsal Hand Veins Imaging
Published 2018“…Therefore, this research is set-up to develop a modified image enhancement algorithm for dorsal hand vein. …”
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Monograph -
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Artificial Intelligence Matching Algorithm with UTP Final Year Project Students and Advisors Matching as Test Case
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Final Year Project -
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A modification of Shamir's Three-Pass protocol by implementing one-time pad algorithm / Nur Khairunnisa' Kusman, Nurul Hanis Abd Rashid and An Nur Ameera Zamani
Published 2019“…As a result, this study success to develop the algorithm by implemented one-time pad in Shamir's three-pass protocol. …”
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A case study on quality of sleep and health using Bayesian networks
Published 2012“…The network scores computation is implemented to estimate the fitting of the resulting network of each structural learning algorithm in order to choose the best-fitted network. …”
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A modified crow search algorithm with niching technique for numerical optimization
Published 2019“…This paper proposes a modified crow search algorithm with local search and niching technique. …”
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A modified crow search algorithm with niching technique for numerical optimization
Published 2019“…This paper proposes a modified crow search algorithm with local search and niching technique. …”
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Optimizing in-car-abandoned children’s sounds detection using deep learning algorithms / Nur Atiqah Izzati Md Fisol
Published 2023“…Ultimately, the successful implementation of this model can lead to a substantial reduction in child abandonment cases and promote safer transportation practices for children.…”
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Student Project -
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Modified firefly algorithm for directional overcurrent relay coordination in power system protection / Muhamad Hatta Hussain
Published 2020“…The objectives of the studies are to develop a new optimization technique termed as Modified Firefly Algorithm (MFA) for minimizing the relay operating time, to develop a Multi-Objective Modified Firefly Algorithm (MOMFA) for minimizing both the total relay operating time and relay coordination time and to develop an integrated optimal predictor termed as Modified Firefly Algorithm-Artificial Neural Network (MFA-ANN) for accurate prediction of relay operating time. …”
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An FPGA implementation of exp-bet scheduling algorithm in LTE networks / Yusmardiah Yusuf
Published 2017“…Since the implementation of scheduling algorithm is an open issue in LTE, many packet scheduling algorithms have been proposed by researchers. …”
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Modified damage location indices in beam-like structure: Analytical study
Published 2011“…It is also concluded that the modified algorithms have the sensitivity to detect the damage regardless of its severity. …”
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Process Planning Optimization In Reconfigurable Manufacturing Systems
Published 2008“…The five (5) AADTs include; a variant of the simulated annealing algorithm that implements heuristic knowledge at critical decision points, two (2) cooperative search schemes based on a “loose hybridization” of the Boltzmann Machine algorithm with (i) simulated annealing, and (ii) genetic algorithm search techniques, and two (2) modified genetic algorithms. …”
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