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POTENTIAL GROUPER FEED FORMULATION BASED ON EVOLUTIONARY ALGORITHM CONCEPT WITH A UNIQUE SELECTION OPERATOR by Soong, Cai Juan, Ramli, Razamin, Abd. Rahman, Rosshairy

“…But, trash fish is dramatically expensive and hard to store, hard to maintain the quality of nutrients as well as the quantity throughout the years. …”
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Potential grouper feed formulation based on evolutionary algorithm concept with a unique selection operator by Soong, Chai Juan, Ramli, Razamin, Abd Rahman, Rosshairy

“…However, the issue is on its cost while providing quality feed mix.That leads to the search for an approach which could provide the most suitable feed ingredients and nutrients.One potential approach is the Evolutionary Algorithm (EA) which has been used to solve the feed formulation problems in poultry, shrimp and cattle.Hence, in this study, an EA-based approach with a refinement on using the standard deviation in the strategy of tournament selection has been proposed to minimize the total cost in formulating the feed of grouper fish.Results show that the lowest cost can be accepted while satisfying the nutrient requirements of grouper fish.…”
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Optimal selection of long time acoustic features using GA for the assessment of vocal fold disorders by Sindhu, Ravindran, Neoh, Siew Chin, Dr., Muthusamy, Hariharan, Dr.

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A framework of rough cultural algorithms in optimizing mobile web caching performance by Sulaiman, Sarina, Shamsuddin, Siti Maryam, Abraham, Ajith, Sulaiman, Shahida

“…Consequently, The proposed caching scheme, Rough Cultural Algorithm (RCA) is developed to materialise the caching policies.…”
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An experimental study of neighbourhood based metaheuristic algorithms for test case generation satisfying the modified condition / decision coverage criterion by Haque, Ariful

“…Although useful, the existing algorithms does not provide any comparative data to select an algorithm based on the problem size and difficulty and the use of other neighborhood algorithms (including Great Deluge and Late Acceptance Hill Climbing) has not been sufficiently explored as well. …”
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P300 detection of brain signals using a combination of wavelet transform techniques by Motlagh, Farid Esmaeili

“…Meanwhile the new approaches in channels selection methods help the algorithms for convenient online usage.…”
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Time series modeling of water level at Sulaiman Station, Klang River, Malaysia by Galavi, Hadi

“…The estimation of parameters of the model is accomplished using the hybrid learning algorithm consisting of standard neural network backpropagation algorithm and least squares method. …”
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Enhancing selective encryption for H.264/AVC using advanced encryption standard by Abomhara, Mohamed, Zakaria, Omar, Khalifa, Othman Omran, Zaidan, Aos Alaa, Zaidan, Bilal Bahaa

“…Multimedia information availability has increased dramatically with the advent of mobile devices. But with this availability comes problems of maintaining the security of information that is displayed in public. …”
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Protein structure prediction using robust principal component analysis and support vector machine by Zakaria, Nur Aini, Ali Shah, Zuraini, Kasim, Shahreen

“…The research applying RPCA algorithm to extract the essential features from the original highdimensional input vectors. …”
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Systematic review for phonocardiography classification based on machine learning by Altaf, Abdullah, Mahdin, Hairulnizam, Alive, Awais Mahmood, Ninggal, Mohd Izuan Hafez, Altaf, Abdulrehman, Javid, Irfan

“…This systematic review aims to examine the existing literature on phonocardiography classification based on machine learning, focusing on algorithms, datasets, feature extraction methods, and classification models utilized. …”
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Systematic Review for Phonocardiography Classification Based on Machine Learning by Abdullah Altaf, Abdullah Altaf, Hairulnizam Mahdin, Hairulnizam Mahdin, Awais Mahmood Alive, Awais Mahmood Alive, Mohd Izuan Hafez Ninggal, Mohd Izuan Hafez Ninggal, Abdulrehman Altaf, Abdulrehman Altaf, Irfan Javid, Irfan Javid

“…This systematic review aims to examine the existing literature on phonocardiography classification based on machine learning, focusing on algorithms, datasets, feature extraction methods, and classification models utilized. …”
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Prediction of breast cancer relapse time in continuous scale based on type-2 TSK fuzzy model by Mahmoudian, Sayed Hamid

“…In the first objective of the thesis, a lemma has been proven and a new hybrid algorithm based on Fuzzy Association Rule Mining has been proposed to gather some selected genes and generate fuzzy rules for classification. …”
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Modelling and optimization of phase change materials (PCM)-based passive cooling of solar PV panels in multi climate conditions by Durez, Asif, Ali, Muzaffar, Waqas, Adeel, Nazir, Kamran, Sudhakar, Kumarasamy

“…However, the solar cells’ temperature dramatically influences the panel’s performance, particularly in hot climates. …”
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Enhanced extreme learning machine for general regression and classification tasks by Mahmood, Saif F

“…The first challenge is to select the optimal number of hidden nodes for ELM in different application. …”
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Meta-heuristic approaches for reservoir optimisation operation and investigation of climate change impact at Klang gate dam by Lai, Vivien Mei Yen

“…Consequently, seeking managing of reservoir optimisation operations had always been at the forefront and to improve managing, algorithms have had been presented over the past few decades, beginning with conventional algorithms, followed by heuristic algorithms, and finally, the meta-heuristic algorithms (MHAs). …”
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High-Speed Implementations Of Fractal Image Compression For Low And High Resolution Images by Saad, Abdul Malik Haider Yusef

“…The major drawback of FIC is that it is a time consuming algorithm, especially when a full search is attempted. …”
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Channel Modelling and Estimation in Multiple-Input Multiple-Output Orthogonal Frequency Division Multiplexing Wireless Communication Systems by Hezam, Mohammed Abdo Saeed

“…Orthogonal frequency-division multiplexing (OFDM) is an attractive technique for high data rates transmission over frequency-selective fading channels, due to its capability in combating the intersymbol interference (ISI). …”
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Gene expression profiling of human bronchial smooth muscle and lung fibroblasts cells stimulated with IL-1B, IL-4, IL-5 and IL-13 cytokines through the application of cDNA microar... by Jaafar, Faizah

“…Microarray data was generated by using third party software. Two algorithms were chosen to summarize the data; RMA and PLIER. …”
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Development of low-overhead soft error mitigation technique for safety critical neural networks applications by Khalid Adam, Ismail Hammad

“…However, GPUs are prone to soft errors that dramatically impact the GPU behaviors; such error may corrupt data values or logic operations, which result in Silent Data Corruption (SDC). …”
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