Search Results - (( developing intensive case algorithm ) OR ( java implication force algorithm ))

An Orchestrated Survey on T-Way Test Case Generation Strategies Based on Optimization Algorithms by Alsewari, Abdulrahman A., Kamal Z., Zamli

“…The test case construction is amongst the most labor-intensive tasks and has significant influence on the effectiveness and efficiency in software testing. …”
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The evaluation of content-oriented XML document retrieval: a case study of FTMSK official letter / Hayati Abdul Rahman by Abdul Rahman, Hayati

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The evaluation of contentoriented XML document retrieval: a case study of official letter / Hayati Abd Rahman by Abd Rahman, Hayati

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Hybrid Artificial Bees Colony algorithms for optimizing carbon nanotubes characteristics by Mohammad Jarrah, Mu'ath Ibrahim

“…Chemical Vapor Deposition (CVD) is the most efficient method for CNTs production.However,using CVD method encounters crucial issues such as customization,time and cost.Therefore,Response Surface Methodology (RSM) is proposed for modeling and the ABC-βHC is proposed for optimization purpose to address such issues.The selected CNTs characteristics are CNTs yield and quality represented by the ratio of the relative intensity of the D and G-bands (ID/IG).Six case studies are generated from collected dataset including four cases of CNTs yield and one case of ID/IG as single objective optimization problems,while the sixth case represents multi-objective problem.The input parameters of each case are a subset from the set of input parameters including reaction temperature,duration,carbon dioxide flow rate,methane partial pressure,catalyst loading,polymer weight and catalyst weight.The models for the first three case studies were mentioned in the original work.RSM is proposed to develop polynomial models for the output responses in the other three cases and to identi significant process parameters and interactions that could affect the CNTs output responses.The developed models are validated using t-test,correlation and pattern matching.The predictive results have a good agreement with the actual experimental data.The models are used as objective functions in optimization techniques.For multi-objective optimization,this study proposes Desirability Function Approach (DFA) to be integrated with other proposed algorithms to form hybrid techniques namely RSM-DFA,ABC-DFA and ABC-βHC-DFA.The proposed algorithms and other selected well-known algorithms are evaluated and compared on their CNTs yield and quality.The optimization results reveal that ABC-βHC and ABC-βHC-DFA obtained significant results in terms of success rate,required time,iterations,and function evaluations number compared to other well-known algorithms.Significantly,the optimization results from this study are better than the results from the original work of the collected dataset.…”
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Segmentation of Magnetic Resonance Brain Images Using Watershed Algorithm by Abdurrahim, Salem Hamed

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Development of sorting system for oil palm in vitro shoots using machine vision approach by Al-Ruhaimi, Hamdan Yahya Ahmed

“…Close results between the performance of the developed sorting algorithm and SVM algorithm demonstrate that it is satisfactory and efficient. …”
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DATA ANALYTICS FOR HOSPITAL OPERATIONS by EL SAFTY, ABDULRAHMAN EHAB

“…Hence, this project will look into the feasibility of developing software for hospital data analysis, specifically, the MIMIC-II (Multiparameter Intelligent Monitoring in Intensive Care) data that support a diverse range of analytic studies which extend across epidemiology, clinical decision-rule improvement, and electronic tool development. …”
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Stiffness reduction index for detection of damage location: Analytical study by Fayyadh, M.M., Razak, H.A.

“…The results obtained from this study revealed higher and better sensitivity of the developed index to detect a low damage intensity and at different locations along the length of the beam. …”
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Quality of service management algorithms in WiMAX networks by Saidu, Ibrahim

“…Simulation have been extensively used to evaluate the proposed algorithm. Finally, Discrete Event Simulator (DES) is designed and developed in order to evaluate the performance of the proposed algorithms. …”
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Development of a personified face emotion recognition technique using fitness function by Muthukaruppan, Karthigayan, Mohd Rizon, Mohamed Juhari, Ramachandran, Nagarajan, Masanori, Sugisaka, Sazali, Yaacob, Mohd Rozailan, Mamat, Hazry, Desa

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UAV actuator fault detection through artificial intelligent technique / Zulhilmy Sahwee ... [et al.] by Sahwee, Zulhilmy, Mahmood, Aina Suriani, Abd. Rahman, Nazaruddin, Mohamed Sahari, Khairul Salleh

“…It was believed that until recently, the control reallocation following a system fault was too complex and computationally intensive for real world flight control cases. However, the recent, a dramatic improvement in computer speed and the development of more efficient algorithms have changed the situation considerably. …”
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UAV actuator fault detection through artificial intelligent technique by Sahwee Z., Mahmood A.S., Rahman N.A., Sahari K.S.M.

“…It was believed that until recently, the control reallocation following a system fault was too complex and computationally intensive for real world flight control cases. However, the recent, a dramatic improvement in computer speed and the development of more efficient algorithms have changed the situation considerably. …”

Flame Development Study at Variable Swirl Level Flows in a Stratified CNG DI Combustion Engine using Image Processing Technique by Anbese, Yohannes T., A.R.A., Aziz, Abdul Karim, Z. A.

“…However, COV in IMEP which is identified from the cylinder p-v data, is greater in swirl induced flow cases than the tumble flow case. Degree of flame distortion and flame front wrinkles increases with flame size.…”
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Development of a novel natural frequencies prediction tool for laminated composite plates using integrated artificial neural network (ANN) - simulink MATLAB / Mohd Arif Mat Norman by Mat Norman, Mohd Arif

“…The prediction tool utilises an Artificial Neural Network (ANN) with a two-layer feed-forward algorithm and ten hidden layers, using Levenberg-Marquardt as the training algorithm. …”
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High-Resolution Downscaling with Interpretable Relevant Vector Machine: Rainfall Prediction for Case Study in Selangor by Abdul Rashid, Raghdah Rasyidah, Shaharudin, Shazlyn Milleana, Sulaiman, Nurul Ainina Filza, Zainuddin, Nurul Hila, Mahdin, Hairulnizam, Mohd Najib, Summayah Aimi, Hidayat, Rahmat

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Characterization of transdermal drug delivery system using visible spectrophotometry and artificial neural network / Normaizira Hamidi by Hamidi, Normaizira

“…In the case of films carrying a high drug load, mixed visible wave absorption characteristics were noted depending on wavelength of visible wave absorbed by matrix and storage relative humidity. …”
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Java based expert system for selection of natural fibre composite materials by Ahmed Ali, Basheer A., Salit, Mohd Sapuan, Zainudin, Edi Syams, Othman, Mohamed

“…There are several algorithm and methods are being proposed by various researchers in this field. …”
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Proposed intelligence systems based on digital Forensics : Review paper by Ismael Sahib, Hussein, Alsudani, Mustafa Qahtan, Ali, Mohammed Hasan, Qassim Abbas, Haydar, Moorthy, Kohbalan, Adnan, Myasar Mundher

“…Moreover, propose new algorithms and hybrid model which it's achieved good results in dif-ferent other fields to develop the forensic systems in the future.…”
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Capacity Enhancement Of Cellular Network Using Wifi Offloading by Ab. Wahab, Nazdiana

“…In addition, an analytical study on a single server using Markovian model has been deployed to observe the impact of WiFi offloading on cellular network capacity. In the case of without WiFi offloading deployment, the queue behaviour demonstrates higher traffic intensities when customer arrival rate is high, and therefore decrease cellular network capacity, and vice versa. …”
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Optimized fast fourier transform architecture using instruction set architecture extension in low-end digital signal controller by Salim, Sani Irwan

“…Smart microgrids have emerged as a viable solution in case of emergency situations occurred at the main electricity grid. …”
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