Search Results - (( using optimization based algorithm ) OR ( using qualitative based algorithm ))

Application of swarm intelligence optimization on bio-process problems / Mohamad Zihin Mohd Zain by Mohamad Zihin , Mohd Zain

“…BSA gave the best overall performance by showing improved solutions and more robust convergence in comparison with various metaheuristics used in this work. Multi-objective optimization problems are also addressed by proposing a modified multi-criterion optimization algorithm based on a Pareto-based Particle Swarm Optimization (PSO) algorithm called Multi-Objective Particle Swarm Optimization (MOPSO). …”
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Hierarchical approach for articulated 3D human motion tracking using PF-based PSO by Saini, S., Rambli, D.R.B.A., Sulaiman, S.B., Zakaria, M.N.B.

“…In vision-based human motion tracking, two algorithms most extensively have been used, namely, PF and PSO. …”
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A study of stochastic algorithms for 3D articulated human body tracking by Saini, S., Rambli, D.R.B.A., Sulaiman, S.B., Zakaria, M.N.B.

“…The second part focused on evolutionary optimization algorithms based effective tracking. Currently these two types of algorithms are most extensively used for tracking due to their ability to solve highly nonlinear problems and their consideration uncertainties in the pose estimation. …”
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A study of stochastic algorithms for 3D articulated human body tracking by Saini, S., Rambli, D.R.B.A., Sulaiman, S.B., Zakaria, M.N.B.

“…The second part focused on evolutionary optimization algorithms based effective tracking. Currently these two types of algorithms are most extensively used for tracking due to their ability to solve highly nonlinear problems and their consideration uncertainties in the pose estimation. …”
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A study of stochastic algorithms for 3D articulated human body tracking by Saini, S., Rambli, D.R.B.A., Sulaiman, S.B., Zakaria, M.N.B.

“…The second part focused on evolutionary optimization algorithms based effective tracking. Currently these two types of algorithms are most extensively used for tracking due to their ability to solve highly nonlinear problems and their consideration uncertainties in the pose estimation. …”
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Breast cancer diagnosis through an optimization-driven multispectral gamma correction (ODMGC) by Raj A, Arul Edwin, Ahmad, Nabihah, Durai S, Ananiah

“…The algorithm was successfully implemented in MATLAB 2020a, and the classifier was developed in Jupyter Notebook using Python. …”
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Disparity map algorithm using hierarchical of bitwise pixel differences and segment-tree from stereo image by Zainal Azali, Muhammad Nazmi

“…This thesis presents a local-based stereo matching algorithm to increase the accuracy on complex regions. …”
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Warpage analysis on thick shell part using response surface methodology (RSM) and bat algorithm (BA) to optimize parameter setting in injection molding process by Ch'Ng, S. Q., Nasir, S. M., Fathullah, M., Noriman, N. Z., Mohd Sazli, Saad

“…RSM also predict mathematical modelling and further used in BA. BA will optimize the process parameters setting and improve warpage value based on the results in AMI. …”
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Disparity map algorithm for stereo matching process using local based method by Gan, Melvin Yeou Wei

“…Hence, this thesis proposes a local-based SVDM algorithm that increases the accuracy on the complex scenes. …”
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Construction and optimization of financial risk management model based on financial data and text data influencing information system by Hui Huang, Thien Sang Lim

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Application of system identification method coupled with evolutionary algorithms for the optimization of power consumption in a pem fuel cell propulsion system / Suhadiyana Hanapi by Hanapi, Suhadiyana

“…This thesis makes a number of key contributions to the advancement of fuel cell vehicle design within two main research areas; powertrain system design based on quality energy, and optimization system based on biology based algorithms. …”
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A maximal-clique-based clustering approach for multi-observer multi-view data by using k-nearest neighbor with S-pseudo-ultrametric induced by a fuzzy similarity by Khameneh, Azadeh Zahedi, Ghaznavi, Mehrdad, Kilicman, Adem, Mahad, Zahari, Mardani, Abbas

“…The proposed clustering algorithm is programmed and tested on synthetic and four real-world datasets using the R software. …”
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A fuzzy case-based reasoning model for software requirements specifications quality assessment by Mostafa S.A., Gunasekaran S.S., Khaleefah S.H., Mustapha A., Jubair M.A., Hassan M.H.

“…Additionally, for efficient cases retrieval in the CBR, relevant cases selection and nearest cases selection heuristic search algorithms are used in the system. Basically, the input to the relevant cases algorithm is the available cases in the system case base and the output is the relevant cases. …”

Using clinical practice guidelines to manage dengue: a qualitative study in a Malaysian hospital by Wharton-Smith, Alexandra, Green, Judith, Loh, Ee Chin, Gorrie, Alexander, Omar, Sharifah Faridah Syed, Bacchus, Loraine, Lum, Lucy Chai See

“…Where Medical Officers were well trained in the appropriate use of evidence-based guidelines, barriers to use included: the potential for 'following the algorithm' to undermine junior clinicians' claims to clinical expertise; inability to recognise the pattern of clinical progress; and lack of clinical experience. …”
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Modeling forest fires risk using spatial decision tree by Yaakob, Razali, Mustapha, Norwati, Nuruddin, Ahmad Ainuddin, Sitanggang, Imas Sukaesih

“…This paper presents our initial work in developing a spatial decision tree using the spatial ID3 algorithm and Spatial Join Index applied in the SCART (Spatial Classification and Regression Trees) algorithm. …”
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Metaheuristic research: a comprehensive survey by Hussain, Kashif, Mohd Salleh, Mohd Najib, Shi, Cheng, Yuhui, Shi

“…Though, it has been evidenced that little has been done on insightful analysis of metaheuristic performance issues, and it is still a “black box” why certain metaheuristics perform better on specific optimization problems and not as good on others. The performance related analysis, which have been performed on specific algorithms, are mostly qualitative via performance validation metrics like mean error, standard deviation, and co-relations have been used. …”
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A Hybrid Model of Contrast Enhancement with Particle Swarm Optimization for Diabetic Retinopathy (S/O 14404) by Harun, Nor Hazlyna, Yusof, Yuhanis, Abu Bakar, Juhaida, Osman, Muhammad Khusairi, Embong, Zunaina

“…As the technology offered in Industrial Revolution (IR) 4.0, namely Artificial Intelligence, is shown to reduce medical errors, this study proposes an image enhancement algorithm based on hybrid of Contrast Enhancement (CE) and Particle Swarm Optimization (PSO). …”
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Assignment problem on examiners allocation for final year projects student by using Hungarian method approach / Norfatihah Emirah Abu Bakar, Ainur Farhanie Ali and Mirza Akmal Haki... by Abu Bakar, Norfatihah Emirah, Ali, Ainur Farhanie, Mohd Rizal, Mirza Akmal Hakim

“…The purpose of this study is to analyze examiners data based on the area of expertise using qualitative analysis and to optimize the allocation of examiners based on their areas of expertise and students’ project topics using the Hungarian algorithm. …”
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Agreement options for negotiation on material location decision of housing development by Utomo, C., Rahmawati, Y.

“…Application of coalition formation for agreement options is used to select the best fit material location. It is based on satisficing game theory rather than optimization. …”
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Qualitative and quantitative accuracy evaluation of 18f-fdg PET/CT with TOF and NON-TOF system on beta value in BPL reconstruction by Hui, Ng Suk

“…Methods: A National Electrical Manufacturers Association (NEMA) image quality phantom filled with Fluorine-18 fluoro-2-deoxy-D-glucose (18F-FDG) at a 5:1 tumour-to-background ratio (TBR) was scanned on a lutetium-based PET/CT scanner. The images were reconstructed using the OSEM (16 subsets, 3 iterations) and Q.Clear algorithms, both of which include Point Spread Function (PSF) modelling. …”
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