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Coalition formation for throughput enhancement via one-sided matching theory by Md Tahir, Mohammad Hazwan, Habaebi, Mohamed Hadi, Islam, Md. Rafiqul

“…We prove that the proposed algorithm leads to stable coalition formation in the cognitive radio network and show using simulations that the proposed matching algorithm for coalition formation yields significant gains in term of reduced false alarm probability and increased throughput per cognitive radio user as compared to the non-cooperative scenario…”
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Coalition formation for throughput enhancement via one-sided matching theory by Tahir, Mohammad, Habaebi, Mohamed Hadi, Islam, Md. Rafiqul

“…We prove that the proposed algorithm leads to stable coalition formation in the cognitive radio network and show using simulations that the proposed matching algorithm for coalition formation yields significant gains in term of reduced false alarm probability and increased throughput per cognitive radio user as compared to the non-cooperative scenario.…”
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A bacteria foraging algorithm for solving integrated multi-period cell formation and subcontracting production planning in a dynamic cellular manufacturing system by Tang, Sai Hong, Nouri, Hossein, Motlagh, Omid Reza Esmaeili

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Inter-cell and intra-cell facility layout models under different demand environments in cellular manufacturing systems by Ariafar, Shahram

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Throughput enhancement in cognitive radio network via coalition formation using matching theory by Tahir, Mohammad, Habaebi, Mohamed Hadi, Islam, Md. Rafiqul

“…In this paper, we use the concepts from matching theory to form coalitions among cognitive radio users for cooperative spectrum sensing under target detection probability constraint. In the proposed model we make use of one sided matching theory to develop an algorithm for the cognitive radios to form coalitions of varying size to improve their individual gains (.e.g. throughput and probability of false alarm). …”
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A New Cell Formation Method Considering Operation Sequences And Production Volumes by Abedini, Panteha

“…This research, presents an algorithm for cell formation to minimize intercellular movements. …”
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Enhanced Instantaneous Power Theory with average algorithm for indirect current controlled three-level inverter-based shunt active power filter under dynamic state conditions by Hoon, Yap, Mohd Radzi, Mohd Amran, Hassan, Mohd Khair, Mailah, Nashiren Farzilah

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Video content adaptation based on user preferences and network bandwidth / Badariyah Bakhtiar by Bakhtiar, Badariyah

“…System architecture was designed and implement in video adaptation algorithms development. Through the algorithm, rule-based technique was used. …”
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Enhanced weight-based clustering algorithm to provide reliable delivery for VANET safety applications by Bello Tambawal, Abubakar, Noor, Rafidah Md, Salleh, Rosli, Chembe, Christopher, Oche, Michael

“…In this study, enhanced weight-based clustering algorithm (EWCA) was developed to address these challenges. …”
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An enhanced feature selection technique for classification of group-based holy quran verses by Oyekunle, Adeleke Abdullahi

“…In the experiment, six feature selection algorithms were applied: In.formation Gain (JG), Chi-square (CH), Pearson Correlation Coefficient (PCC), RelieJF, Correlation-based (CFS), and the proposed JG-CFS algorithms. …”
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Chaotic mutation immune evolutionary programming for photovoltaic planning in power system / Sharifah Azma Syed Mustaffa by Syed Mustaffa, Sharifah Azma

“…New automatic contingency analysis and ranking algorithm due to line and generator outages were separately developed considering the FVSI value. …”
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Hyperparameter tuned deep learning enabled intrusion detection on internet of everything environment by Ahmed Hamza, Manar, Hassan Abdalla Hashim, Aisha, G. Mohamed, Heba, S. Alotaibi, Saud, Mahgoub, Hany, S. Mehanna, Amal, Motwakel, Abdelwahed

“…At first, data pre-processing is performed to convert the actual data into useful format. In addition, Chaotic Local Search Whale Optimization Algorithm-based Feature Selection (CLSWOA-FS) technique is employed to choose the optimal feature subsets. …”
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The prediction of diesel engine NOx emissions using artificial neural network / Mohd. Mahadzir Mohammud and Khairil Faizi Mustafa by Mohammud, Mohd. Mahadzir, Mustafa, Khairil Faizi

“…In order to reduce or to control diesel engine polluting emissions, the formation mechanism of NOx can be predicted. A neural network model is developed to obtain the NOx emission concentration under various operating condition. …”
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The prediction of diesel engine NOx emissions using artificial neural network / Mohd Mahadzir Mohammud and Khairil Faizi Mustafa by Mohammud, Mohd Mahadzir, Mustafa, Khairil Faizi

“…In order to reduce or to control diesel engine polluting emissions, the formation mechanism of NOx can be predicted. A neural network model is developed to obtain the NOx emission concentration under various operating condition. …”
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Development of a Spatiotemporal Data Model for Management and Visualization of Surface Movement Data by Mohd Rahim, Mohd Shafry

“…In developing the visualization tool, visualization algorithm was used by employing the morphing technique which uses parametric equation. …”
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Automatic generation of neural game controller using single and bi-objective evolutionary optimization algorithms for RTS Game by Chang, Kee Tong

“…That is 5) to test the performance for EP, DE, PDE and FFNN applied under an identical environment. The experimental results show that all the algorithms applied were able to generate good solutions for solving the reinforcement issues. …”
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Development of capability-based virtual cellular manufacturing systems in dual-resource constrained settings over semi-distributed layouts by Hamedi, Maryam

“…The performance of the developed CBVCMSs is improved by utilizing a novel layout namely Semi-Distributed Layouts (SDLs) using Genetic Algorithms (GAs). …”
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Reliability assessment of power system generation adequacy with wind power using population-based intelligent search methods by Kadhem, Athraa Ali

“…Additionally, the present study has developed a prediction model of wind speed for these three sites in Malaysia. …”
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Extreme air pollutant data analysis using classical and Bayesian approaches by Mohd Amin, Nor Azrita

“…MTM algorithm is an extension of MH algorithm, designed to improve the convergence of MH algorithm by performing parallel computation. …”
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Application of machine learning algorithms to predict removal efficiency in treating produced water via gas hydrate-based desalination by Nallakukkala, Sirisha, Tackie-Otoo, Bennet Nii, Aliyu, Ruwaida, Lal, Bhajan, Nallakukkala, Jagadish Ram Deepak, Devi, Gayathri

“…GHBD operates by forming gas hydrates under controlled thermodynamic conditions, selectively encapsulating gas within water molecules while excluding dissolved ions. …”
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