Adaptive neural network classifier for extracted invariants of handwriten digits by Keng, L. H., Shamsuddin, Siti Mariyam

“…The results show that the network applying an adaptive activation function between layers converged much faster compared to non-adaptive activation functions with 50% iterations reduction. In this study, we also present experimental results of feature extraction between Zernike and d-geometric for better feature representations. …”
Get full text

Mussels wandering optimization algorithmn based training of artificial neural networks for pattern classification by Abusnaina, Ahmed A., Abdullah, Rosni

“…Training an artificial neural network (ANN) is an optimization task since it is desired to find optimal neurons‘ weight of a neural network in an iterative training process. Traditional training algorithms have some drawbacks such as local minima and its slowness.Therefore, evolutionary algorithms are utilized to train neural networks to overcome these issues.This research tackles the ANN training by adapting Mussels Wandering Optimization (MWO) algorithm.The proposed method tested and verified by training an ANN with well-known benchmarking problems.Two criteria used to evaluate the proposed method were overall training time and classification accuracy.The obtained results indicate that MWO algorithm is on par or better in terms of classification accuracy and convergence training time.…”
Get full text

Validation of mGBL engineering model using group treatment experimental study by Zaibon, Syamsul Bahrin, Shiratuddin, Norshuhada

“…A mGBL engineering model is proposed intentionally for developing mGBL applications and is outlined in this paper to provide novice developers with an integrated model with which they can approach more systematically the design and development of mGBL.The engineering model combines a game life cycle based on iterative prototyping and learning model, with supporting activities drawn from sources of best practice in mobile game development.This paper describes an experimental study involving the implementation of the proposed model with a group of undergraduate students who are taking Game Application Development course. …”
Get full text

Super-resolution techniques for high-resolution image reconstruction by Tian, Yushuang

“…The edge information is explored based on the reconstructed HR image in the previous iteration. An iterative scheme ensures the improved HR color image is obtained.…”
Get full text

Study of Joule-Thomson cooling effect due to leakage in compressed gas pressure vessels by Ai, Gang

“…Each part can be considered as a small throttling type nozzle. An iterative calculation program in MATLAB has been developed in this thesis. …”
Get full text

Maximizing the probability of arriving on time : a stochastic shortest path problem by Cao, Zhiguang

“…After that, this relaxed problem is solved using the subgradient method in an iterative manner, and only LP problems need to be solved in each iteration, which saves computation cost significantly. …”
Get full text

Efficient algorithms for throughput maximization on the MIMO interference channels by Anand, Kushal

“…Moreover, the proposed methods show faster convergence rate and thus, attain a higher sum rate with less overhead compared to other methods when we consider less number of iterative beamformer exchanges. …”
Get full text

Beamforming strategies in wireless multi-antenna communication systems by Zhang, Zhiyu

“…Following that, we propose a distributed iterative optimization algorithm where the BSs iteratively solve a sequence of convex optimization subproblems in parallel until the optimal beamformers are obtained. …”
Get full text

Interactive labelling of a multivariate dataset for supervised machine learning using linked visualisations, clustering, and active learning by Chegini, Mohammad, Bernard, Jürgen, Berger, Philip, Sourin, Alexei, Andrews, Keith, Schreck, Tobias

“…Using appropriate techniques, analysts can play an active role in a highly interactive and iterative machine learning process to label the dataset and create meaningful partitions. …”
Get full text
Get full text

A new scheme for solving goursat problem using newton-cotes integration formula / Ros Fadilah Deraman by Deraman, Ros Fadilah

“…Many approaches have been suggested to approximate the solutions of the Goursat partial differential equations such as the finite difference method, Runge-Kutta method, differential transform method, variational iteration method and homotopy analysis method. These methods focus on series expansion and numerical differentiation approaches including the forward and central differences in deriving the schemes. …”
Get full text

Polynomial and piecewise polynomial fitting in tight-binding model of carbon molecule by Haa, Wai Kang

Get full text

Autonomous underwater vehicle Manoeuvrability studies by Yoong, Hou Pin, Yeo KB @ Abdul Noor, Choong, Wai Heng, Teo, Kenneth Tze Kin

“…The solid 3D design of the AUV had been achieved through spiral design process of iterative method. The method involves design statement, preliminary design, conceptual design and detailed design. …”
Get full text

Quarter-sweep preconditioned relaxation method, algorithm and efficiency analysis for fractional mathematical equation by Andang Sunarto, Praveen Agarwal, Jumat Sulaiman, Chew, Jackel Vui Lung, Shaher Momani

“…The proposed numerical method is able to solve the selected problems with fewer iterations and a faster execution time than the tested existing methods. …”
Get full text
Get full text

Mass reduction of a conceptual microsatellite aluminum structure via employing perforation patterns by Dawood, Sarmad Dawood Salman

“…The selected pattern design was hence refined iteratively, to yield the same value of fundamental natural frequency, but with significant mass reduction. …”
Get full text

A generic smartphone forensic investigation process model by Farjamfar, Anahita

“…The proposed model is a multi-tier, objective-based, iterative process model that is generically applicable in investigation of any type of smartphones. …”
Get full text

Q-learning whale optimization algorithm for test suite generation with constraints support by Hassan, Ali Abdullah, Salwani, Abdullah, Kamal Z., Zamli, Rozilawati, Razali

“…Unlike WOA, QWOA-EMC permits just-in-time adaptive selection of its operators (i.e., between shrinking mechanism, spiral shape mechanism, and random generation) based on their historical performances as well as exploits the Monte Carlo Acceptance probability to further strengthen its exploration capabilities by allowing a poor performing operator to be reselected with probability in the early part of the iteration. Experimental results for constraints combinatorial test generation demonstrate that the proposed QWOA-EMC outperforms WOA and performs competitively against other metaheuristic algorithms.…”
Get full text
Get full text

Graph optimization approach to range-based localization by Fang, Xu, Wang, Chen, Nguyen, Thien-Minh, Xie, Lihua

“…Moreover, convergence analysis of the algorithm is provided, and the effects of the number of iterations and window size in the optimization on the localization accuracy are analyzed. …”
Get full text

Controlling light on the other side of frosted glass by Wong, Felicia Zheng Mun

“…This report will discuss in detail the implementation of a feedback-based phase modulation method to obtain the optimum incident wavefront is by exploiting iterative optimization algorithms. In particular, the optimization technique focused on and demonstrated with will be the genetic algorithm. …”
Get full text

Phase discrepancy analysis and compensation for fast Fourier transform based solution of the transport of intensity equation by Zuo, Chao, Chen, Qian, Huang, Lei, Asundi, Anand

“…In this work, we present the theoretical analysis of the phase discrepancy owing to the Teague’s assumption, and derive the necessary and sufficient conditions for the FFT-based solution to coincide with the exact phase. An iterative algorithm is then proposed aiming to compensate such phase discrepancy in a simple yet effective manner.…”
Get full text
Get full text

Co-Learned Multi-View Spectral Clustering for Face Recognition Based on Image Sets by Huang, Likun, Lu, Jiwen, Tan, Yap Peng

“…Instead of using an iterative method, we relax the constraints such that the objective function can be solved immediately. …”
Get full text
Get full text