Search Results - (( development case pattern algorithm ) OR ( java implication based algorithm ))

Implementing case-based reasoning approach to framework documentation by Hajar M.J., Lee S.P.

“…During the "revise" and "retain" steps of the CBR, Knuth-Morris-Pratt (KMP) pattern matching algorithm is applied. � 2008 IEEE.…”

A comparative study of clonal selection algorithm for effluent removal forecasting in septic sludge treatment plant by Chun T.S., Malek M.A., Ismail A.R.

Development of a Web Access Control Technique Based User Access Behavior by Abdelrahman, Selmaelsheikh

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Application of pattern search method to economic load dispatch with valve point loading / Siti Aisah Md. Sari by Md. Sari, Siti Aisah

“…The optimization of ED in power system is implemented through Optimization Toolbox in Matlab and PS technique is used as solver. In this study, PS algorithm was developed to give an optimal power output of generating unit and minimize the fuel cost; The algorithm was tested on 3 generating unit systems and 13 generating unit systems. …”
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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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Case study : an effect of noise in character recognition system using neural network by Mohamad, Esmawaty

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DATA ANALYTICS FOR HOSPITAL OPERATIONS by EL SAFTY, ABDULRAHMAN EHAB

“…With the aim to assist in showing patterns and associations in hospital big data, the software reveals associations and apprehending patterns inside this data demonstrated as predictive analytics that can assist in handling comparable cases and present clinical and hospital-decisions…”
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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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Car plate recognition system : (segmentation) by Nor Helmy Effendy, Meon

“…Nowadays, there are many researches on pattern recognition. Therefore,the purpose of this research is to develop a prototype by referring the University College of Engineering & Technology of Malaysia (UTEC) as the case study.The use of human workforce for the safety control in UTEC really cannot be implemented consistently and effectively since human ability is limited. …”
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Fault diagnostic algorithm for precut fractionation column by Heng, H. Y., Ali, Mohamad Wijayanuddin, Kamsah, Mohd. Zaki

“…The fault diagnostic algorithm is supported by the process history based method and developed by using Borland C++ Builder 6.0. …”
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Characterization of Pattern for Predicting Ultra Violet (UV) Effects in Environment Data Management System (EDMS) by M. Amir Abas, M. Dahlui, UniKL BMI

“…The result of the measurement exercises produced various patterns, each with unique identification for developing database pattern algorithm. …”

Hybrid Spatial-Artificial Intelligence Approach for Renewable Energy Sources Sites Identification and Integration in Sarawak State by Far Chen, Jong

“…The minimum total distances in all four cases are acquired and validated as both the TSP-GA algorithm and the Traveling Salesman Problem-Mixed Integer Linear Programming (TSP-MILP) algorithm produced the same routing pattern. …”
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Computational dynamic support model for social support assignments around stressed individuals among graduate students by Al-Shorman, Roqia Rateb

“…The algorithm complexity analysis was used to measure the execution time in the worst case. …”
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Creating Extraction Pattern by Combining Part of Speech Tagger and Grammatical Parser by Sari, Y., Hassan, M.F., Zamin, N.

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Trend analysis of software engineering scientific publications by Tengku Nadzirah, Tengku Majani

“…The estimation of the future trend is done by development of the algorithm linear regression algorithm in Matlab. …”
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Integrated combined layer algorithm of jamming detection and classification in manet / Ahmad Yusri Dak by Dak, Ahmad Yusri

“…It involves development of Max-Min Rule-Based Classification Algorithm. …”
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Forecast innovative development level in green supply chains using a comprehensive fuzzy algorithm by Delgoshaei, Aidin, Beighizadeh, Razieh, Mohd Arffin, Mohd Khairol Anuar, Leman, Zulkiflle, Ali, Ahad

“…Additionally, anticipating a supply chain's pattern of Innovative Developments might be crucial and help the business owners have a more perceived perspective about their business technological level future. …”
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Characterization of Multiple Omics Signatures in Relation to Dietary Pattern for in Silico Personalised Colon Cancer Risk Stratification: Study Protocol for a Case-control Study an... by Nur Mahirah, Amani Mohammad, Mohd Razif, Shahril, Suzana, Shahar, Nor Fadilah, Rajab, Raja Affendi, Raja Ali *, Zairul Azwan, Mohd Azman, Syarul Nataqain, Baharum, Abrar Noor, Akramin Kamarudin, Chung, Felicia Fei Lei *, Razinah, Sharif

“…Multiple endpoints will be analyzed, namely metabolomic signatures, epigenetic marks, inflammatory markers and relationship with dietary patterns will be established. Multiple machine learning models will then be used to develop personalised risk stratification algorithms. …”
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Development of bi-objective optimization model for supply chain network design using data envelopment analysis by Rahimi, Iman

“…In this regard, other simulation data for the large-scale cases in the range of real case also compared. Analysis of the results expressed acceptable performance of the developed model and proposed solution for different cases in different sizes. …”
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Web based clustering tool using K-MEAN++ algorithm / Muhammad Nur Syazwanie Aznan by Aznan, Muhammad Nur Syazwanie Aznan

“…Which is why this project objective is to develop a web based clustering tool using K-MEAN++ algorithm. …”
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