Search Results - (( developing effective calling algorithm ) OR ( java application stemming algorithm ))

Crosstalk-Free Scheduling Algorithms for Routing in Optical Multistage Interconnection Networks by Raja Mohd Auzar, Tengku Dian Shahida

“…Extended from the FastZ algorithms, another three new algorithms called the FastRLP, BRLP and FastBRLP algorithms are developed to achieve different performance goals. …”
Get full text
Get full text

Loss reduction in distribution networks using new network reconfiguration algorithm by Kashem, M.A., Moghavvemi, M., Mohamed, A., Jasmon, G.B.

“…For this purpose a simple-to-use formula, called loop loss reduction formula, has been developed. …”
Get full text

Model structure selection for a discrete-time non-linear system using a genetic algorithm by Ahmad, R., Jamaluddin, H., Hussain, M. A.

“…The performance of the proposed algorithm is also compared to the model developed using the orthogonal least squares (OLS) algorithm. …”
Get full text
Get full text

Model structure selection for a discrete-time non-linear system using a genetic algorithm by Ahmad, R., Jamaluddin, H., Hussain, M. A.

“…The performance of the proposed algorithm is also compared to the model developed using the orthogonal least squares (OLS) algorithm. …”
Get full text
Get full text

Model structure selection for a discrete-time non-linear system using genetic algorithm by Ahmad, Robiah, Jamaluddin , Hishamuddin, Hussain, Mohd. Azlan

“…The performance of the proposed algorithm is also compared to the model developed using the orthogonal least squares (OLS) algorithm. …”
Get full text
Get full text
Get full text

Loss reduction in distribution networks by network reconfiguration: a two stage solution approach by Nallagownden, Perumal

“…For this purpose a simple-to-use formula, called loop loss reduction formula has been developed. …”
Get full text
Get full text

Multilevel optimization for dense motion estimation by Saaban, Azizan, Kalmoun, El Mostafa, Ibrahim, Haslinda, Ramli, Razamin, Omar, Zurni

“…We evaluated the performance of different optimization techniques developed in the context of optical flow computation with different variational models.In particular, based on truncated Newton methods (TN) that have been an effective approach for large-scale unconstrained optimization, we developed the use of efficient multilevel schemes for computing the optical flow.More precisely, we evaluated the performance of a standard unidirectional multilevel algorithm - called multiresolution optimization (MR/Opt), to a bidrectional multilevel algorithm - called full multigrid optimization (FMG/Opt).The FMG/Opt algorithm treats the coarse grid correction as an optimization search direction and eventually scales it using a line search. …”
Get full text
Get full text
Get full text

Predicting breast cancer using ant colony optimisation / Siti Sarah Aqilah Che Ani by Che Ani, Siti Sarah Aqilah

“…This study implements a machine learning algorithm called Ant Colony Optimization (ACO) algorithm to develop an accurate classification model for predicting breast cancer cells. …”
Get full text
Get full text

Hybrid particle swarm optimization algorithm with fine tuning operators by Murthy, G.R., Arumugam, M.S., Loo, C.K.

“…The effectiveness of the fine tuning elements with various PSO algorithms is tested through three benchmark functions along with a few recently developed state-of-the-art methods and the results are compared with those obtained without the fine tuning elements. …”
Get full text
Get full text

Model structure selection for a discrete-time non-linear system using a genetic algorithm by Ahmad, R., Jamaluddin, H., Hussain, Mohd Azlan

“…The performance of the proposed algorithm is also compared to the model developed using the orthogonal least squares (OLS) algorithm. …”
Get full text
Get full text

The online mastermind game / Cheong Kuen Leion by Cheong, Kuen Leion

“…This online Mastermind game project is developed to give the chances to people from all arround the world to play with each other though the are not known each other: Besides that, this project is also to test the effectiveness of the technique, which is called as Genetic Algorithm on solving a problem. …”
Get full text
Get full text

Impact learning: A learning method from feature's impact and competition by Prottasha, Nusrat Jahan, Murad, Saydul Akbar, Abu Jafar, Md Muzahid, Rana, Masud, Kowsher, Md, Adhikary, Apurba, Biswas, Sujit, Bairagi, Anupam Kumar

“…A variety of well-known machine learning algorithms have been developed for use in the field of computer science to analyze data. …”
Get full text
Get full text
Get full text

Locust- inspired meta-heuristic algorithm for optimising cloud computing performance by Fadhil, Mohammed Alaa

“…The third part addresses the limitations of LACE algorithms, leading to the proposition of a novel meta-heuristic algorithm called the Locust-Inspired Algorithm (LIA) that can effectively map virtual machines (VMs) for efficient server consolidation. …”
Get full text
Get full text

A fast and efficient crosstalk-free algorithm for routing in optical multistage interconnection networks by Raja Mohd Auzar, Tengku Dian Shahida, Othman, Mohamed, Abdullah, Mohamad Khazani

“…To evaluate the performance of the new algorithm, a crosstalk-free version of the original ZeroXY algorithm is developed extended from the Improved ZeroXY algorithm, called the Modified ZeroXY algorithm. …”
Get full text
Get full text

Application of Taylor-Newton homotopy method for solving electrical engineering design problem by Hasan, Talib Hashim, Azram, Mohammad, Daoud, Jamal Ibrahim

“…Homotopy algorithm can be considered as a developing of the classical methods in numerical computing such as Newton- Raphson and fixed point methods. …”
Get full text
Get full text
Get full text

Application of Taylor-Newton homotopy method for solving electrical engineering design problem by Hassan, Talib Hashim, Azram, Mohammad, Daoud, Jamal Ibrahim

“…Homotopy algorithm can be considered as a developing of the classical methods in numerical computing such as Newton- Raphson and fixed point methods. …”
Get full text
Get full text
Get full text

Impact learning : A learning method from feature’s impact and competition by Prottasha, Nusrat Jahan, Murad, Saydul Akbar, Abu Jafar, Md Muzahid, Rana, Masud, Kowsher, Md, Adhikary, Apurba, Biswas, Sujit, Bairagi, Anupam Kumar

“…A variety of well-known machine learning algorithms have been developed for use in the field of computer science to analyze data. …”
Get full text
Get full text
Get full text
Get full text

A new mobile malware classification for call log exploitation by Madihah Mohd Saudi, Nurlida Basir, Mohd N.F.

Genetic Algorithm for vehicle routing problem / W.Nurfahizul Ifwah W.Alias, Mohd Shaiful Sharipudin and Shamsunarnie Mohamed Zukri. by W.Alias, W.Nurfahizul Ifwah, Sharipudin, Mohd Shaiful, Mohamed Zukri, Shamsunarnie

“…They are also robust and effective algorithms that are computationally simple and easy to implement.…”
Get full text
Get full text

Prime-based method for interactive mining of frequent patterns by Nadimi-Shahraki, Mohammad-Hossein

“…Moreover, this study introduces a mining algorithm called PC-miner to mine the mining model frequently with various values of minsup. …”
Get full text
Get full text