Search Results - (( construct estimation technique algorithm ) OR ( java application optimisation algorithm ))
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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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Parameter estimation of cocomo model using the jaya algorithm for software cost estimation
Published 2019“…This thesis proposed the Jaya algorithm based on estimation of the software based on the COCOMO I model. …”
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Undergraduates Project Papers -
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Estimation of core size distribution of magnetic nanoparticles using high-Tc SQUID magnetometer and particle swarm optimizer-based inversion technique
Published 2023“…In this work, the core size estimation technique of magnetic nanoparticles (MNPs) using the static magnetization curve obtained from a high-Tc SQUID magnetometer and a metaheuristic inversion technique based on the Particle Swarm Optimizer (PSO) algorithm is presented. …”
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Parallel visualization approach of a 3D heart model
Published 2008“…The main target of this paper is to find an optimum strategy for the construction of the RF map and a decent estimation algorithm. …”
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Conference or Workshop Item -
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Sediment load forecasting from a biomimetic optimization perspective: Firefly and Artificial Bee Colony algorithms empowered neural network modeling in �oruh River
Published 2025“…This study combined models such as the artificial neural network (ANN) algorithm with the Firefly algorithm (FA) and Artificial Bee Colony (ABC) optimization techniques for the estimation of monthly SL values in the �oruh River in Northeastern Turkey. …”
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Non-regularized reconstruction of magnetic moment distribution of magnetic nanoparticles using barnacles mating optimizer
Published 2023“…This estimation technique involves solving the inverse problem of the magnetization curve. …”
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Conference or Workshop Item -
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Parameter Estimation of Lorenz Attractor: A Combined Deep Neural Network and K-Means Clustering Approach
Published 2022“…After that, it has been suggested to improve the efficiencies in the Deep Neural Network (DNN) model by combining the DNN with an unsupervised machine learning algorithm, the K-Means clustering algorithm. This study constructs the flow of DNN based method with the K-Means algorithm. …”
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Imputing incomplete software metric database using iterative nearest neighbour based algorithm
Published 2008“…Data sets are playing an important role not only for the construction of effort precision model but also in building software cost estimation models. …”
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Customised fitness function of evolutionary algorithm for optimization of car park space / Ahmad Syahir Ab. Aziz
Published 2017“…There are six steps of genetic algorithm. The prototype is useful to worker in construction calculate the total number of parking spaces in the future.…”
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Thesis -
10
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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Integrated applications of building information modeling in project cost management: a systematic review
Published 2023“…On the contrary, integrated approaches for cost estimation include integration with cost-plus pricing, discrepancy analysis, construction progress curves, estimation standards, algorithms, declarative mappings, life cycle sustainability assessment, ontology, Web-based frameworks and structured query language. …”
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IMAGE STITCHING USING HARRIS CORNER & SIFT FEATURES
Published 2016“…The designed algorithm is implemented along with homography estimation in images which is determined by RANSAC application. …”
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Final Year Project -
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A novel single parent mating technique in genetic algorithm for discrete - time system identification
Published 2024“…A typical rule is that the model must have a good balance between parsimony and accuracy in estimating a dynamic system. As a popular search method, genetic algorithm (GA) is used for selecting a model structure. …”
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Artificial Bee Colony-based satellite image contrast and brightness enhancement technique using DWT-SVD
Published 2014“…In this approach, the input image is primarily decomposed into four sub-bands through DWT, and then each sub-band of DWT is optimized through the ABC algorithm. After that, a singular value matrix of the low–low thresholded sub-band image is estimated and, finally, the enhanced image is constructed by applying inverse DWT. …”
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Artificial Robust Control of Robot Arm: Design a Novel SISO Backstepping Adaptive Lyapunov Based Variable Structure Control.
Published 2011“…The proposed approach effectively combines the design technique from variable structure controller is based on Lyapunov and fuzzy estimator to estimate the nonlinearity of undefined system dynamic in backstepping controller. …”
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Wifi positioning system / Amalina Abdul Halim
Published 2006“…This paper present the experimental results that demonstrate the ability of Wifi Positioning system to estimate location of the devices using K-NN algorithm and result in application part is shown based on highest percentage accuracy of time taken to intend bus stop.…”
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Student Project -
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An enhanced distance vector-hop algorithm using new weighted location method for wireless sensor networks
Published 2020“…The distance vector-hop (DV-Hop) technique is a popular range-free localization algorithm due to its cost efficiency and non-intricate process. …”
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Reduced rank technique for joint channel estimation and joint data detection in TD-SCDMA systems
Published 2013“…Finally in the ST TD-SCDMA system, rank three based detector outperforms traditional LS detector by having 4 dB gains at BER of 10-3 with 8 arrays model at 3Km/h. The reduced rank technique is used to control the complexity of channel estimation. …”
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Thesis
