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1
Study and Implementation of Data Mining in Urban Gardening
Published 2019“…The system is essentially a three-part development, utilising Android, Java Servlets, and Arduino platforms to create an optimised and automated urban-gardening system. …”
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2
Web-based expert system for material selection of natural fiber- reinforced polymer composites
Published 2015“…Finally, the developed expert system was deployed over the internet with central interactive interface from the server as a web-based application. As Java is platform independent and easy to be deployed in web based application and accessible through the World Wide Web (www), this expert system can be one stop application for materials selection.…”
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Thesis -
3
Dual vector control strategy for a three-stage hybrid cascaded multilevel inverter
Published 2010“…The inverter has been constructed and the control algorithm has been implemented. …”
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4
Optimization of hydropower reservoir system using genetic algorithm for various climatic scenarios
Published 2015“…In order to increase the system efficiency and maximize the power generation, constructed operation models were optimized. …”
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Thesis -
5
Underwater Acoustic Communication (UWA) Data Packet Size Optimization based on Throughput
Published 2010“…The main contribution of this project is the algorithm and the lookup table construction developed for selecting optimal packet size in underwater communication efficiency.…”
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Final Year Project -
6
Clustering Approach In Wireless Sensor Networks Based On K-Means: Limitations And Recommendations
Published 2019“…This algorithm has beneficial in construct the clusters for various real-world applications of WSN.K-means algorithm suffering from many drawbacks that hampering his work.The lack of adequate studies that investigates in the limitations of this algorithm and seek to propose the solutions motivated us to do this study. …”
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7
Novel vector control method for three-stage hybrid cascaded multilevel inverter
Published 2011“…The inverter has been constructed, and the control algorithm has been implemented. …”
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8
Enhance efficiency of answering XML keyword query using incompact structure of MCCTree
Published 2012“…Compact Lowest Common Ancestor (CLCA) and Maximal Compact Lowest Common Ancestor (MCLCA) implemented in algorithms named CGTreeGenerator and MCCTreeGenerator has been proven in returning an accurate result in answering XML keyword query. …”
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Thesis -
9
Prime-based method for interactive mining of frequent patterns
Published 2010“…Then, the proposed method is developed based on the architecture such that the mining model is constructed once, and it can be frequently mined by various minsup. …”
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10
Solving an application of university course timetabling problem by using genetic algorithm
Published 2022“…Among the approaches, genetic algorithm (GA), constructed based on Darwin's theory of evolution, becomes the renowned approach to solve various types of timetabling problems. …”
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11
A novel selection of optimal statistical features in the DWPT domain for discrimination of ictal and seizure‑free electroencephalography signals
Published 2017“…Instead of using the complete set of the extracted features to construct a wavelet neural networks-based classifier, an optimal feature subset that maximizes the predictive competence of the classifier was selected by using the CSA. …”
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12
Modeling and Optimization of Tapered Rectangular Thin-walled Columns Subjected to Oblique Loading for Impact Energy Absorption
Published 2013“…FEA results of SEA is obtained from the analyses and later will be used for constructing response surface model (RSM). RSM is employed to determine the value of design variables of the thin-walled tubes so as to maximize the SEA when impact occurs. …”
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Conference or Workshop Item -
13
A novel selection of optimal statistical features in the DWPT domain for discrimination of ictal and seizure-free electroencephalography signals
Published 2018“…Instead of using the complete set of the extracted features to construct a wavelet neural networks-based classifer, an optimal feature subset that maximizes the predictive competence of the classifer was selected by using the CSA. …”
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14
An ensemble of neural network and modified grey wolf optimizer for stock prediction
Published 2019“…Grey Wolf Optimizer (GWO) is a recently developed meta-heuristic algorithm which is appealing to researcher owing to its demonstrated performance as cited in the scientific literature. …”
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Novel rule base development from IED-resident big data for protective relay analysis expert system
Published 2016“…Many Expert Systems for intelligent electronic device (IED) performance analyses suchvas those for protective relays have been developed to ascertain operations, maximize availability, and subsequently minimize misoperation risks. …”
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Book Section -
17
Scheduling dynamic cellular manufacturing systems in the presence of cost uncertainty using heuristic method
Published 2016“…Since the proposed models (like similar models in the literature) are likely to fall into local optimum points, a Branch and Bound based heuristic, a hybrid Simulated Annealing and Genetic algorithm, a hybrid Tabu search and Simulated Annealing, a hybrid Genetic algorithm and Simulated Annealing, a hybrid Ant Colony Optimization and Simulated Annealing and a hybrid Multi-layer Perceptron and Simulated Annealing algorithms are developed. …”
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Thesis -
18
PAPR and BER analysis of mobile WiMAX system using QC-LDPC code with STFBC MIMO OFDMA system / Siti Nor Hasima Mat Jusoh
Published 2014“…MATLAB software is use to develop new Quasi Cyclic LDPC block code algorithm and determine PAPR reduction for the STFBC MIMO-OFDMA system. …”
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19
ReSTiNet: An efficient deep learning approach to improve human detection accuracy
Published 2023“… • All the necessary steps, algorithms, and mathematical formulas for building the net- work are provided…”
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ReSTiNet: An Efficient Deep Learning Approach to Improve Human Detection Accuracy
Published 2023“…Despite modern techniques, there are very few optimal techniques to construct networks with a small size, deep architecture, and fast training time while maintaining accuracy. …”
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