Search Results - (( basic indicator selection algorithm ) OR ( java implementation phase algorithm ))
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Web-based clustering tool using fuzzy k-mean algorithm / Ahmad Zuladzlan Zulkifly
Published 2019“…All the algorithm for the engine has been developed by using Java script language. …”
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Optimal route checking using genetic algorithm for UiTM's bus services / Tengku Salman Fathi Tengku Jaafar
Published 2006“…Although from human logical thinking, the route can be generated easily but the calculation of checking the route whether it is optimal route or not is difficult and will take long time to be implemented. This research study with the development of the Optimal Route Checking Using Genetic Algorithm system should solve this scenario. …”
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Fuzzy adaptive teaching learning-based optimization for solving unconstrained numerical optimization problems
Published 2022“…As the 50-50 probabilities for exploitation and exploration in the basic teaching learning-based optimization algorithm may be counterproductive, the Mamdani-type fuzzy inference system of the new algorithm takes these measures as a crisp inputs and generates selection as crisp output to choose either exploitation or exploration based on the current search requirement. …”
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Flowshop scheduling using artificial bee colony (ABC) algorithm with varying onlooker bees approaches
Published 2015“…All the average percentage makespan difference from three onlooker approaches was compared and the lowest average percentage makespan difference was selected as the best method. The simulation results indicated that method 2+1+0 produces best result at low iterations of 102 and below. …”
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A phonetically rich and balanced lexical corpus using zipfian distribution for an under resourced language / Aminath Farshana
Published 2018“…The performance of the proposed method was also evaluated by comparing the results with an existing benchmark method (greedy algorithm). The results show that the sentences selected using proposed method cover all the phonetic units and is 14 times smaller than the corpus developed using the benchmark method. …”
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Integration of enchanced jump point search (JPS) algorithm with modified bresenham technique for path planning in virtual grid-based environment
Published 2018“…The algorithm which consider the error value, e to increment pixels is the crucial part of the line generation applies the same concept in the second approach, where the error value, e is used as indicator to determine the heuristic cost of the path. …”
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Hybrid-discrete multi-objective particle swarm optimization for multi-objective job-shop scheduling
Published 2022“…This research first proposes an improved continuous MOPSO to address the rapid clustering problem that exists in the basic PSO algorithm using three improvement strategies: re-initialization of particles, systematic switch of best solutions and mutation on global best selection. …”
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Application of hybrid intelligent systems in predicting the unconfined compressive strength of clay material mixed with recycled additive
Published 2021“…Then, these basic properties were selected as input variables to predict the UCS values through the use of two hybrid intelligent systems i.e., the neuro-swarm and the neuro-imperialism. …”
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Application of hybrid intelligent systems in predicting the unconfined compressive strength of clay material mixed with recycled additive
Published 2021“…Then, these basic properties were selected as input variables to predict the UCS values through the use of two hybrid intelligent systems i.e., the neuro-swarm and the neuro-imperialism. …”
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Moving detection using cellular neural network (CNN)
Published 2008“…The video then are segmented into images using SC Video Developer. Ten images are selected to be used in this project. The algorithm created is used to detect the ball in the images. …”
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Fingerprint Image Compression Using Wavelet Transform
Published 2003“…The objective of this study is to evaluate a variety of wavelet filters using Wavelet toolbox for selecting the best wavelet filters to be used in compress and decompress of selected fingerprint images. …”
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A stacked ensemble deep learning model for water quality prediction / Wong Wen Yee
Published 2023“…The proposed deep learning model renders faster without the use of SMOTE. Any resampling algorithm is not a necessity in the case of this proposed algorithm. …”
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A comparative analysis of machine learning approaches in sukuk price estimation across global regions
Published 2024“…However, restrictions including short dataset sizes, the omission of Sukuk backed by assets, and overly basic rating categories indicate areas that warrant additional investigation. …”
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Optimal planning and design of hybrid renewable energy system for rural healthcare facilities / Olatomiwa Lanre Joseph
Published 2016“…Followed by development of prediction algorithm for solar radiation using soft-computing methodologies. …”
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Improving Attentive Sequence-to-Sequence Generative-Based Chatbot Model Using Deep Neural Network Approach
Published 2022“…The strategies applied showed that the final accuracy obtained through the training after implementing a modification in the algorithm is at 81% accuracy rate compared to the basic model that recorded its final accuracy at 79% accuracy rate. …”
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Machine Learning Based Two Phase Detection and Mitigation Authentication Scheme for Denial-of-Service Attacks in Software Defined Networks
Published 2024“…The results of the tests indicated increased performance in terms of fewer false positives, less CPU utilisation, less control channel bandwidth used, higher packet delivery ratio, and fewer flow requests made to the controller with 99.56% detection accuracy as compared to selected benchmarks. …”
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Prediction Of Antimicrobial Peptides Based On Sequence Alignment And Secondary Structure Sequence And Segment Sequence.pdf
Published 2015“…In comparison of second phase with past research that combines with sequence alignment method, this research has relatively low yield (<27%) contributed by the prediction utilizing SSS and SS features only. This indicates that the proposed algorithm is not suitable to be used as AMPs predictor. …”
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Investigating computational thinking among primary school students in Terengganu using visual programming
Published 2022“…The measurement of CT skills is indicated by CT skills competency. Several countries have introduced CT into the curriculum and Malaysia has taken a bold step to introduce it in 2017 by integrating it into the curriculum. …”
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