Search Results - (( quality function matching algorithm ) OR ( java implementation path algorithm ))
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Heavy Transportation Shortest Route using Dijkstra’s algorithm (HETRO) / Nurul Aqilah Ahmad Nezer
Published 2017“…The development tools used in developing this project is NetBeans by using Java for the implementation of the coding. The methodology that used for developing this system is the Dijkstra’s algorithm. …”
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Embedded system for indoor guidance parking with Dijkstra’s algorithm and ant colony optimization
Published 2019“…BST inserts the nodes in the way that the Dijkstra’s can find the empty parking in fastest way. Dijkstra’s algorithm initials the paths to finding the shortest path while ACO optimizes the paths. …”
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Path planning for unmanned aerial vehicle (UAV) using rotated accelerated method in static outdoor environment
Published 2021“…In this study, a fast iterative method known as Rotated Successive Over-Relaxation (RSOR) is introduced. The algorithm is implemented in a self-developed 2D Java tool, UAV Planner. …”
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Smart appointment organizer for mobile application / Mohd Syafiq Adam
Published 2009“…The main component of this prototype is the use of Dijkstra algorithm to compute the shortest path from source of appointment to the 6 points of destinations within UiTM Shah Alam. …”
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Disparity map algorithm for stereo matching process using local based method
Published 2022“…The proposed SVDM algorithm involves four stages which starts from matching cost computation. …”
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Hybrid Artificial Bees Colony algorithms for optimizing carbon nanotubes characteristics
Published 2018“…Chemical Vapor Deposition (CVD) is the most efficient method for CNTs production.However,using CVD method encounters crucial issues such as customization,time and cost.Therefore,Response Surface Methodology (RSM) is proposed for modeling and the ABC-βHC is proposed for optimization purpose to address such issues.The selected CNTs characteristics are CNTs yield and quality represented by the ratio of the relative intensity of the D and G-bands (ID/IG).Six case studies are generated from collected dataset including four cases of CNTs yield and one case of ID/IG as single objective optimization problems,while the sixth case represents multi-objective problem.The input parameters of each case are a subset from the set of input parameters including reaction temperature,duration,carbon dioxide flow rate,methane partial pressure,catalyst loading,polymer weight and catalyst weight.The models for the first three case studies were mentioned in the original work.RSM is proposed to develop polynomial models for the output responses in the other three cases and to identi significant process parameters and interactions that could affect the CNTs output responses.The developed models are validated using t-test,correlation and pattern matching.The predictive results have a good agreement with the actual experimental data.The models are used as objective functions in optimization techniques.For multi-objective optimization,this study proposes Desirability Function Approach (DFA) to be integrated with other proposed algorithms to form hybrid techniques namely RSM-DFA,ABC-DFA and ABC-βHC-DFA.The proposed algorithms and other selected well-known algorithms are evaluated and compared on their CNTs yield and quality.The optimization results reveal that ABC-βHC and ABC-βHC-DFA obtained significant results in terms of success rate,required time,iterations,and function evaluations number compared to other well-known algorithms.Significantly,the optimization results from this study are better than the results from the original work of the collected dataset.…”
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Fractal coding of bio-metric image for face authentication
Published 2021“…In the encoding, the fractal function converges to its self-similarity as IFS. …”
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Improved Stereo Vision Algorithms For Robot Navigation
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Denoising of digital images using second generation wavelet transforms-hidden markov model
Published 2016“…After applying the denoising algorithm on the contaminated image, the cycling spinning algorithm is applied to increase the visual quality of the restored image. …”
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Joint optimization of resources allocation for quality of service aware next-generation heterogeneous cellular networks / Hayder Faeq Rasool Alhashimi
Published 2025“…The utility function of the auction algorithm is formulated based on a Multiple Attributes Decision-Making (MADM) strategy in which the considered attributes are SE and Energy Efficiency (EE). …”
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Development of images segmentation using image thresholder and batch processing technique on the blood smears
Published 2022“…The proposed algorithm has appropriately compensated for the variability in image quality.…”
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Scentopia: Navigating the World of Fragrance
Published 2024“…The programme streamlines the perfume picking process and directs users towards their ideal smell match by utilising cutting-edge algorithms, personalised scent profile, and user-friendly interfaces. …”
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Final Year Project -
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Transcriptomic Study of Gracilaria Changii (Gracilariales, Rhodophyta) By Expressed Sequence Tags and Cdna Microarray Approach
Published 2009“…The putative identity of TUGs was identified by using Basic Local Alignment Search Tool X (BLASTX) algorithm and classified according to the functional groups in Kyoto Encyclopedia of Genes and Genomes (KEGG). …”
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Fingerprint Image Compression Using Wavelet Transform
Published 2003“…In fact, wavelet refers to a set of basic function, which is recursively defined form, a set of scaling coefficients and scaling function. …”
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Cars detection in stitched image using morphological approach
Published 2017“…Related algorithms using mathematical approach such as alpha blending will be implemented in the project to enhance the image stitching method for a better quality stitched image. …”
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Final Year Project Report / IMRAD -
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Unsupervised monocular depth estimation with multi-scale structural similarity powered loss function / Ali Kohan
Published 2020“…On top of that, having considered the importance of loss layers in the performance of neural networks, it suggests a new image reconstruction and matching loss function that is aimed to improve depth estimation consistency on specular and transparent surfaces. …”
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Application of artificial neural network in discriminating the agarwood oil quality using significant chemical compounds / Mohd Hezri Fazalul Rahiman … [et al.]
Published 2014“…Back-propagation training algorithm and sigmoid transfer function were used to optimise the parameters in the training network. …”
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Book Section -
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Evolutionary cost-cognizant regression test case prioritization for object-oriented programs
Published 2019“…Therefore, this study proposed a cost-cognizant TCP approach for object-oriented software that uses path-based integration testing to identify the possible execution path extracted from the Java System Dependence Graph (JSDG) model of the source code using forward slicing technique. …”
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Computed tomography and echocardiography image fusion technique for cardiac images
Published 2016“…For improving the interpretability of ultrasound images, where keeping ultrasound as a flexible real time imaging and functional modality, there is a need for some registration techniques that integrate them with their correspond context in high quality pre-operative models, such as Computed Tomography images or Magnetic Resonance Imaging. …”
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