Effectiveness of tree-based pipeline optimization tools and grid search method in breast cancer prediction by Mat Radzi, Siti Fairuz

“…The semiautomatic segmentation techniques used in the first phase is Active Contour Method (ACM) with 100 iterations. Three types of radiomics features were extracted including first order, second order and shape features. 37 features were extracted from each tumor in three different techniques mentioned: 9 of these were shape-based features, while 28 were texture-based features. …”
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The analysis of teaching quality evaluation for the college sports dance by Convolutional Neural Network model and Deep Learning by Guo, Shuqing, Yang, Xiaoming, Farizan, Noor Hamzani, Samsudin, Shamsulariffin

“…Experimental results demonstrate that after 150 iterations of training and validation on the TQE model, convergence is achieved, with mean squared error (MSE) decreasing to 0.0015 and 0.0216 on the training and validation sets, respectively. …”
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State of the art for voltage collapse point approximation using continuation power flow by Jasni, Jasronita, Mohd Noor, Samsul Bahari, Mariun, Norman, Ab Kadir, Mohd Zainal Abidin, Hizam, Hashim

“…This Continuation Power Flow uses an iterative process involving predictor and corrector step. …”
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Mapping heterogeneous urban landscapes from the fusion of digital surface model and unmanned aerial vehicle-based images using adaptive multiscale image segmentation and classifica... by Gibril, Mohamed Barakat A., Kalantar, Bahareh, Al-Ruzouq, Rami, Ueda, Naonori, Saeidi, Vahideh, Shanableh, Abdallah, Mansor, Shattri, Mohd Shafri, Helmi Zulhaidi

“…Using the information obtained from the first phase of the analysis, detailed MS classification was iteratively conducted to improve the classification accuracy and derive the final urban LULC maps. …”
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Comparison of vertical and continuous sterilizers in palm oil mill by Heri Purwanto

“…The simulation was used iteration methods using spreadsheet on Ms. Excel. …”
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Characterization of dumping soil and settlement prediction using Monte Carlo approach by Mohd Pauzi, Nur Irfah

“…Monte Carlo simulation is a method employed an algorithm that must be used with repeated random sampling of uncertainty for ca. 50-5000 number of iterations in order to obtain the parameters such as primary compression ratio (X), secondary compression ratio compressive stress X compressive stress(A) and ultimate settlement (Sult)of the soil at the dumping area. …”
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A risk mitigation model of information technology governance in selected Malaysian Universities by Bokolo, Anthony Junior

“…The risk decisions process was verified by adopting Iterative triangulation. The risk mitigation model can assists in measuring the probabilities and impact of risks, provides risk reduction advice using risk data, provide suggestions for monitoring activities, supporting collaborative decision-making process among risk mitigation practitioners in their organisation.…”
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Power amplifier memory polynomial predistorter for long term evolution application by Mazidi, Hossein

“…Effect of some elements like: number of iterations, input power back-of (IBO) points, the memory effect modelling ration (MEMR) matric for different PAs with memory effects and memory-less respectively, on the performance of predistorter, are investigated.…”
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Development of improved solution methods for deterministic and stochastic supply chain network design by Bidhandi, Hadi Mohammadi

“…The method improved the solution process by reducing the required iterations and integer programming problems.Since, many real-life supply chain networks are characterized by large uncertainty in the tactical parameters; therefore, an integrated model was developed for supply chain network design problems under uncertainty. …”
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Continuous line bezel correction with rotatable orientation screen in improving collaborative drawing on the multi-mobile system by Ong, Beng Liang

“…The user-centered design approach was adopted throughout the research which was based on three key characteristics; including the early focus on users and tasks, empirical measurement and iterative design. Three main studies were carried out with the prototypes by using quantitative and qualitative approaches to understand the underlying issues. …”
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Origami pattern parameter modelling of thin-walled structure during axial crushing by Abu Mansor, Siti Marhainis

“…Nevertheless, the relations between the origami pattern parameter configurations with the dynamic axial crushing are not well comprehended, thus, it will result to a costly design iteration. Therefore, a mathematical model is developed where the responses of the origami pattern parameters to the dynamic axial crushing is known, along with the development of an efficient origami patterned energy absorber structure. …”
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Modal analysis of conceptual microsatellite design employing perforated structural components for mass reduction by Salman Dawood, Sarmad Dawood, Mohd Harithuddin, Ahmad Salahuddin, Harmin, Mohammad Yazdi

“…From the findings, a significant mass reduction percentage of 23.15%, utilizing the proposed perforation concept, was achieved in the final parametric design iteration relative to the baseline unperforated case while maintaining the same fundamental frequency. …”

A systematic review and meta-analysis of radiation dose exposure from computed tomography examination of thorax-abdomen-pelvic regions among paediatric population by Muhammad, Nor Azura, Sabarudin, Akmal, Ismail, Nabilah, Abdul Karim, Muhammad Khalis

“…There is no difference found in CTDIvol between the group of CT thorax, CT abdomen-pelvis and CT TAP with It is established that the application of size or weight - base protocol with the adjustment of CT acquisition parameter and used of iterative reconstruction technique could substantially reduce the radiation dose while maintaining the image quality.…”

AN INTEGRATED RRT*SMART-A* ALGORITHM FOR SOLVING THE GLOBAL PATH PLANNING PROBLEM IN A STATIC ENVIRONMENT by HERU SUWOYO, HERU SUWOYO, ANDI ADRIANSYAH, ANDI ADRIANSYAH, JULPRI ANDIKA, JULPRI ANDIKA, SHAMSUDIN, A LT UBAIDAH, ZAKARIA, MOHAMAD FAUZI

“…It is logically realistic because A* searches and evaluates all neighbors of a current node when finding the node with low cost to the start and goal node for each iteration. Therefore, the risk of collision with an obstacle in the goal region is covered, and generating an initial path in the narrow channel can be handled. …”
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AN INTEGRATED RRT*SMART-A* ALGORITHM FOR SOLVING THE GLOBAL PATH PLANNING PROBLEM IN A STATIC ENVIRONMENT by Heru Sowoyo, Heru Sowoyo, Andi Adrianshah, Andi Adrianshah, Julpri Andika, Julpri Andika, Shamsuddin, Abu Ubaidah, Zakaria, Mohamad Fauzi

“…It is logically realistic because A* searches and evaluates all neighbors of a current node when finding the node with low cost to the start and goal node for each iteration. Therefore, the risk of collision with an obstacle in the goal region is covered, and generating an initial path in the narrow channel can be handled. …”
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Design of reflectarray antenna integrated with FSS textured configurations for wireless communication applications by Kiyani, Arslan

“…Integrated FSS Reflectarray (FSS-RA) configurations based on iterative loop length approach are than implemented for operation in both X and Ku-band to improve the static phase range for the reduction of phase errors resulting in scan blindness. …”
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A new direct viscous-inviscid interaction method for aerodynamics analysis by Che Mohd Husin, Mohd Faizal

“…However, the convergence determination of global iteration should be included in current study in order to systemize entire computation and it is highly recommended for future.…”
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Computationally-efficient path planning algorithms in obstacle-rich environments based on visibility graph method by Abdul Latip, Nor Badariyah

“…In order to address the high computation time, an improved VG called Iterative Equilateral Spaces Oriented Visibility Graph (IESOVG) has been developed by reducing the number of obstacles used for path planning. …”
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System identification and pid control of toothbrush simulator system by Mohd Yusoff, Ainul Husna

“…The model parameters are optimized with model order 2, 3 and 4 where each model order has been analyzed for ten (10) times iteration by the genetic algorithm in obtaining the accurate transfer function. …”
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An improved data classification framework based on fractional particle swarm optimization by Sherwani, Fahad

“…Particle Swarm Optimization (PSO) is a population based stochastic optimization technique which consist of particles that move collectively in iterations to search for the most optimum solutions. …”
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