Model selection approaches of water quality index data by Kamarudin, Nur Azulia, Ismail, Suzilah

“…In order to select the best model, it is vital to ensure that proper estimation method is chosen in the modelling process.Different estimators have been proposed for the estimation of parameters of a model, including the least square and iterative estimators.This study aims to evaluate the forecasting performances of two algorithms on water quality index (WQI) of a river in Malaysia based on root mean square error (RMSE) and geometric root mean square error (GRMSE).Feasible generalised least squares (FGLS) and iterative maximum likelihood (ML) estimation methods are used in the algorithms, respectively.The results showed that SUREMLE-Autometrics has surpassed SURE-Autometrics; another simultaneous selection procedure of multipleequation models.Two individual selections, namely Autometrics-SUREMLE and Autometrics-SURE, though showed consistency only for GRMSE.All in all, ML estimation is a more appropriate method to be employed in this seemingly unrelated regression equations (SURE) model selection.…”
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Process capability study in electronic industry- case study on aircoil lead frame welding (HM72B-06XXX) by Noor Hidayatul Adawiyah, Shahizan

“…The process of understanding the control and the capability (PUCC) is an iterative closed loop process for continuous improvement. …”
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Genetic algorithm for feedback-based wavefront shaping in optical imaging by Mehdi, Haji Heidari Varnosfaderani, Mozaffarzadeh, Moein, Upputuri, Paul Kumar, Pramanik, Manojit

“…The most successful approaches for light focusing at the presence of scattering objects are feedback-based optical wavefront shaping. In this paper, an iterative feedback-based wavefront shaping is proposed. …”
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A robust O(n) solution to the perspective-n-point problem by Li, Shiqi., Xu, Chi., Xie, Ming.

“…Second, it is the first noniterative PnP solution that can achieve more accurate results than the iterative algorithms when no redundant reference points can be used (n≤ 5). …”
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Numerical simulations of agent navigation via half-sweep modified two-parameter over-relaxation (HSMTOR) by F A Musli, Jumat Sulaiman, Azali Saudi

“…Thus, this study attempts to solve the route navigational problem iteratively via a numerical method. A new method called Half-Sweep Modified Two-Parameter Over-Relaxation (HSMTOR) is used to solve the navigational problems. …”
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Enhancement and improvement of the mechanical properties of aluminum extruded products by mathematical analysis and simulation process by Magid, Hani Mizhir, Sulaiman, Shamsuddin, Mohd Ariffin, Mohd Khairol Anuar, Baharudin, B. T. Hang Tuah

“…Software ABAQUS was used to set up the finite element model of the warm aluminum extrusion in two dimensions (3D). Also, an iterative procedure was carried out using MATLAB at each iteration. …”
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A gauss-newton approach for nonlinear optimal control problem with model-reality differences by Sie, Long Kek, Jiao, Li, Leong, Wah June, Abd Aziz, Mohd Ismail

“…During the computation procedure, the control trajectory is updated iteratively by using the Gauss-Newton recursion scheme. …”
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Optimal penalty method in distribution service restoration using genetic algorithm by Moazami, Ehsan, Ab Kadir, Mohd Zainal Abidin, Hizam, Hashim, Izadi, Mahdi, Mirzaei, Maryam

“…Comparisons show the improvements in reducing of number of iteration after restoration. Findings through comparisons are shown that the proposed method will be able to do full restoration and energize all loads.…”
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Kernel learning for visual perception by Wang, Chen

“…To overcome this problem, a KCC-based non-iterative solution to RGB-D-inertial odometry system is proposed. …”
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Fractal attractor based digital signature by Al-Saidi, Nadia M. G., Md. Said, Mohamad Rushdan

“…A new digital signature scheme based on Iterated Function System (IFS) is proposed, which can reduce computation cost and increase security of the system. …”
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Kaedah lelaran kumpulan tak tersirat dengan penghampiran beza terhingga peringkat tinggi bagi persamaan Poisson. by Jumat Sulaiman, Abdul Rahman Abdullah

“…In this paper, we extend the 2-Point Explicit Group Iterative (EGI) method the 3, 4, 6, 8 and 12-Point EGI methods with high-order difference approximation to solve the one dimiensional Poisson equation. …”
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An inversion-free method for finding positive definite solution of a rational matrix equation by Soleymani, Fazlollah, Sharifi, Mahdi, Vanani, Solat Karimi, Haghani, Farhad Khaksar, Kilicman, Adem

“…A new iterative scheme has been constructed for finding minimal solution of a rational matrix equation of the form X + A * X-1 A = I. …”
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Distributed optimization for cognitive radio networks using game theory by Xiao, Yong

“…It is proved that, by using the proposed algorithm, each SU could iteratively improve its performance to approach a Nash equilibrium (NE). …”
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Micromechanics investigation of defects in solid materials by Yang, Jing

“…For the inhomogeneous contact problem, the unknown contact area and pressure can be obtained iteratively when the surface displacement induced by the subsurface cracks and contact loading converges with a numerical algorithm. …”
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Semiparametric inference procedure for the accelarated failure time model with interval-censored data by Karimi, Mostafa

“…Also, a one-step iterative algorithm, called expected rank algorithm, is introduced which is more complicated than the estimation-approximation algorithm, but more accurate. …”
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Global and uniform convergence of subspace correction methods for some convex optimization problems by Tai, Xue Cheng, Xu, Jinchao

“…This paper gives some global and uniform convergence estimates for a class of subspace correction (based on space decomposition) iterative methods applied to some unconstrained convex optimization problems. …”
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A T-algebraic approach to primal-dual interior-point algorithms by Chua, Chek Beng.

“…The analysis shows that the algorithms have polynomial iteration complexity…”
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A study on flood forecasting at Sungai Lembing using artificial neural network by Siti Noor Alina, Mohd Zulkaply

“…In this study, three iterations were conducted which is 1000, 2000 and 5000 iterations with six datasets of network model. …”
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Flood forecasting at Kinabatangan River, Sabah by utilizing artificial neural network (ann) by Wan Nurul Hafizah, Abd Razak

“…The results indicated that the model develop a highest accuracy is 6 hour time interval for 4000 iteration where the NSC result is 0.996 with lower RMSE 155.341 compared to others iteration and time interval. …”
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Pet feeder with NodeMCU using mobile application by Muhammad Sodiq Amin, Mohamd Isa

“…This method is divided into four phases starting from Requirement Analysis, Design, Implementation and Testing. Iterative waterfall methodology will produce software that works quickly and early in the life cycle software. …”
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