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Embedded System of DNA Exon Predictor using Hidden Markov Model by Habibi Husain, Arifin, Ahmad Nasir, Che Rosli, R. Badishah, Ahmad, Assoc. Prof. Dr., Suhartati, Agoos, Dr. Ir, Ferrianto, Gazali, M. Sc., Ir., Endang Djuana, ST. M. Eng., Md. Mostadjur, Rahman, Safarin, Samsudin

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

“…From several comparative analyses, it is clearly seen that the performance of all the three PSO algorithms (pf-PSO, ePSO, and hybrid PSO) is considerably improved with various fine tuning operators and sometimes more competitive than the recently developed PSO algorithms.…”
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The implications for ahybrid detection technique against malicious sqlattacks on web applications by Bahjat Arif, Sarajaldeen Akram, Wani, Sharyar

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A novel hybrid classification model of genetic algorithms, modified k-Nearest Neighbor and developed backpropagation neural network by Salari, Nader, Shohaimi, Shamarina, Najafi, Farid, Nallappan, Meenakshii, Karishnarajah, Isthrinayagy

“…The substantial findings of the comprehensive comparative study revealed that performance of the proposed model in terms of classification accuracy is desirable, promising, and competitive to the existing state-of-the-art classification models.…”
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The Role of Sustainable Competitiveness Indicator in Malaysian Tourism and Economic Growth by Soh, Ann Ni, Puah, Chin Hong, Mohammad Affendy, Arip, Jong, Meng Chang

“…This paper proposes a sustainable competitiveness indicator for the state of tourism vulnerability in the Malaysian tourism market. …”
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CSGO: a game-inspired metaheuristic algorithm for global optimization by Rahman, Tuan A. Z., Md Rezali, Khairil Anas, As'arry, Azizan

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Simulated Kalman Filter algorithms for solving optimization problems by Nor Hidayati, Abdul Aziz

“…The Friedman test ranked ssSKF and SKF algorithm in the third and fourth rank respectively when they are being benchmarked against three state-of-the-art algorithms that competed in the CEC2014 competition. …”
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Development of improved metaheuristic algorithms for modelling and control of a flexible manipulator system by Nasir, Ahmad Nor Kasruddin, Ahmad, Mohd Ashraf, Raja Ismail, R. M.T., Muhammad Hamka, Embong

“…It is found that all the developed algorithms have competitive accuracy performance compared to other state of the art algorithms i.e NSGA2, SCA, Sine-Cosine algorithms. …”
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Compact Convolutional neural network (CNN) based on SincNet for end-to-end motor imagery decoding and analysis by Ahmad Izzuddin, Tarmizi, Mat Safri, Norlaili, Othman, Mohd Afzan

“…This paper presents an improved and compact CNN algorithm for motor imagery decoding based on the adaptation of SincNet, which was initially developed for speaker recognition task from the raw audio input. …”
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SOMEA: self-organizing map based extraction algorithm for DNA motif identification with heterogeneous model by Lee, Nung Kion, Wang, Dianhui

“…Results: This paper aims to develop a Self-Organizing Map (SOM) based clustering algorithm for extracting binding sites in DNA sequences. …”
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Green scheduling algorithm for a computational grid environment by Haruna, A.A., Jung, L.T., Zakaria, M.N., Haron, N.S.

“…Alternatively, this paper proposes a green scheduling algorithm with the objective to minimize the cooling load by avoiding high thermal stress circumstances such as large hot spots and thermal violations while still maintaining the competitive performance in DC. …”
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Semi-supervised learning for feature selection and classification of data / Ganesh Krishnasamy by Ganesh , Krishnasamy

“…The experimental results demonstrate that the proposed algorithm is competitive compared to the state-of-the-art semi-supervised learning algorithms in terms of accuracy. …”
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Estimation-based Metaheuristics: A New Branch of Computational Intelligence by Nor Hidayati, Abd Aziz, Zuwairie, Ibrahim, Saifudin, Razali, Nor Azlina, Ab. Aziz

“…Besides biology, physics and chemistry, state estimation algorithm also has become a source of inspiration for developing metaheuristic algorithms. …”
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Digital Quran With Storage Optimization Through Duplication Handling And Compressed Sparse Matrix Method by Ashraf Saleh Mohammad Alomoush

Moderating role of management support in the relationship between human resource practices and employee performance: A study of academics in Nigerian Polytechnics by Bida, Mohammed Jibrin

“…Partial Least Squares Method (PLS) algorithm and bootstrap techniques were used to test the study's hypotheses. …”
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Bayesian Network Classifiers for Damage Detection in Engineering Material by Mohamed Addin, Addin Osman

“…The methodology used in the thesis to implement the Bayesian network for the damage detection provides a preliminary analysis used in proposing a novel fea- ture extraction algorithm (f-FFE: the f-folds feature extraction algorithm). …”
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Embracing AI in travel and tourism industry / Ranee Atlas, Tina Stephen Enggong and Saifulrizan Norizan by Atlas, Ranee, Enggong, Tina Stephen, Norizan, Saifulrizan

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Vehicle noise comfort level indication: A psychoacoustic approach by Paulraj, Murugesa Pandiyan, Prof. Madya, Sazali, Yaacob, Prof. Dr., Andrew, Allan Melvin

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Vehicle interior sound quality evaluation using energy based features by Allan, Melvin Andrew, Paulraj, Murugesa Pandian, Prof. Dr., Sazali, Yaacob, Prof. Dr.

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Integrated artificial intelligence-based classification approach for prediction of acute coronary syndrome by Salari, Nader

“…Furthermore, substantial findings of the comprehensive comparative study revealed that performance of the proposed model in terms of classification accuracy is desirable, promising, and competitive to the existing state-of-the-art classification models. …”
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