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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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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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An improved chaotic image encryption algorithm
Published 2018“…Chaotic-based image encryption algorithms are countless in number. …”
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Proceeding Paper -
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An analysis of low complexity of 5G-MIMO communication system based CR using hybrid filter detection
Published 2022“…This recommended SS algorithm, based on the hybrid filter detection (HFD) method, employs the Cosine law for filtering the traffic signal, and then enables segmentation by applying the Welch algorithm. …”
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Improved algorithms of elliptic curve point multiplication over binary and prime fields using elliptic net
Published 2022“…In this study, the proposed DBL and DBLADD algorithm using the Karatsuba method for non-supersingular Koblitz curve over m bits binary field with gcd(2m– 1, 3)=1 that incorporates eight blocks of EN with three temporary variables saved two multiplications or 9.09% in DBL and DBLADD algorithms, in comparison to the recent literature pertaining to EN. …”
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Chronic kidney disease diagnostic tools based on machine learning algorithms: a review / Muhamad Huzaimi Abdul Ghafar ... [et al.]
Published 2025“…We conducted an extensive literature review, identifying 70 papers pertaining to ML-based CKD diagnostic tools recently published. …”
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MOTION TARGET TRACKING OF MOBILE ROBOTS
Published 2015“…The main hardware and has been tested with basic programs based on the algorithms of the said methods. Two-dimensional coordinate measurement and calibration has been achieved with varying degrees of accuracy depending upon the resolution selected for use on the camera. …”
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Final Year Project -
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A multi-nets ANN model for real-time performance-based automatic fault diagnosis of industrial gas turbine engines
Published 2017“…When a robust mathematical model of a process equipment is available, model-based diagnostic methods can be used to identify the occurrence of faults in a system. …”
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Monotone Data Samples Do Not Always Produce Monotone Fuzzy If- Then Rules: Learning with Ad hoc and System Identification Methods
Published 2017“…Our analysis shows that even with multi-attribute monotone data, non-monotone fuzzy If- Then rules can be produced using an ad hoc method. The same observation can be made, empirically, using a system identification method, e.g., a derivative–based optimization method and the genetic algorithm. …”
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Protein secondary structure prediction from amino acid sequences using a neural network classifier based on the Dempster-Shafer theory
Published 2003“…In order to reduce the computational demand when training with large data of proteins, an interface was developed using the data parallel approach to parallelize the training phase of the classifier and other accompanying methods such as data clustering algorithms. The parallelized classifier also permitted rigorous experiments to be conducted in two other benchmark problems with disparate dimensions to determine the classifier's inherent attributes and drawbacks. …”
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Thesis -
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Design and Simulation on Compressor Metal Matrix Composite by Investment Casting
Published 2011“…This study presents the use of genetic algorithm (GA) and computer programs for designing a new compressor and determined the wax pattern dimensions based on three-dimensional finite-element simulations as a preliminary study by using investment casting method. …”
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Penggunaan penyepadanan imej berdasarkan kawasan dalam fotogrametri jarak dekat bagi pengukuran permukaan struktur
Published 2006“…In civil engineering, web deformations of a structure, in particular steel, are useful indicators pertaining to its failure. Present laboratory methods employed in determining the web deformations are through the use of LVDT. …”
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Quantitative spasticity assessment model of neurological disorder patients / AA Puzi … [et al.]
Published 2023“…Patients with neurological disorders usually experience conditions where their muscles are stiff, tight, and prone to resist upon stretching, which in essence defines muscle spasticity. The current method of muscle spasticity assessment is based on subjective assessment by therapists who rely on their inner intuition, experience, and skills that comply with the Modified Ashworth Scale tool. …”
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Ageing oil well integrity assessment and rehabilitation / Ramesh Ramasamy
Published 2018“…The use of probabilistic methods on structural reliability is also proposed using the first-order method and computer-based Monte-Carlo and Bootstrap algorithms to address the uncertainties associated with the ageing wells. …”
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Automatic recognition of freshwater algae (Oscillatoria sp.) using image processing techniques with artificial neural network approach / Awatef Saad Salem Saad
Published 2012“…Computer-based image analysis and pattern recognition methods were used to construct a system that is able to identify, and classify selected Cyanobacteria genus automatically. …”
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Design and simulation on compressor metal matrix composite by investment casting
Published 2011“…This study presents the use of genetic algorithm (GA) and computer programs for designing a new compressor and determined the wax pattern dimensions based on three-dimensional finite-element simulations as a preliminary study by using investment casting method. …”
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Risk prediction analysis for classifying type 2 diabetes occurrence using local dataset
Published 2020“…Besides that, each models is validated using split and 10 cross fold method. Ultimately, the performance of each model is evaluated and compare based on several statistical metrics that measures the accuracy, precision, sensitivity and efficiency. …”
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