Search Results - (( developing _ expert algorithm ) OR ( java implication based algorithm ))

Digital Quran With Storage Optimization Through Duplication Handling And Compressed Sparse Matrix Method by Ashraf Saleh Mohammad Alomoush

The implications for ahybrid detection technique against malicious sqlattacks on web applications by Bahjat Arif, Sarajaldeen Akram, Wani, Sharyar

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A Summary Sentence Decomposition Algorithm for Summarizing Strategies Identification by Idris, N., Baba, S., Abdullah, R.

“…A summary sentence decomposition algorithm is then developed based on the heuristic rules. …”
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An Algorithm for Summarizing Strategies Identification by Idris, N., Mohd Sapiyan, B., Abdullah, R.

“…The strategies used by experts are identified and translated into a set of heuristic rules where the algorithm is developed based on the heuristic rules.…”
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Hazard identification on fractionation column using rule based expert system by Mohd Yunus, Mohd Yusri, Ali, Mohamad Wijayanuddin

“…The algorithm is found applicable for any of process system, however the expert system developed is only limited to the application for fractionation column of oleo chemical plant.…”
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Diagnosis of acne vulgaris on face using fuzzy expert system / Nur Sabrina Anuar by Anuar, Nur Sabrina

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Fuzzy Rules Optimization in Fuzzy Expert System for Machinability Data Selection: Genetic Algorithms Approach by Wong, Shaw Voon, Salem Hamouda, Abdel Magid

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Developing framework for natphoric computer-aided web-based kansei engineering / Mohammad Bakri Che Haron by Che Haron, Mohammad Bakri

“…In this research, Natphoric algorithm is used in order to simulate how the experts find the significant factor of emotions. …”
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Application of an expert system shell in the preliminary design of offshore supply vessels by Mainal, Mohd. Ramzan

“…Instead of using one of the conventional programming expert system languages, the system is developed using an expert system shell, Leonardo. …”
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SENSORY EXPERT: DEVICE FOR SENSORY TEST by MOHD ADZMI, MOHD DANIAL AIMAN

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Dermedys: Android-based dermatological diagnostic and analytic expert system by Adamu, Abdul-Hakeem, Akin-Bashiru, Tumilara, Salleh, Norsaremah

“…This paper describes a study to develop a ubiquitous expert system that aims to diagnose dermatological ailment present in a user. …”
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Decision tree as knowledge management tool in image classification by Kusrini, , Harjoko, Agus

“…Expert System has been grown so fast as a science that study how to make computer capable of solving problems that typically can only be solved by expert.It has been realized that the biggest challenge of developing expert system is the process include expert’s knowledge into the system.This research tries to model expert’s knowledge management using case based reasoning method.The knowledge itself is not inputted directly by the expert, but rather the system will learn the knowledge from what the expert did to the previous cases.This research takes image classification as the problem to be solved.As the knowledge development technique, we build decision tree by using C4.5 algorithm.Variables used for building the decision tree are the image visual features.…”
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Metric's thresholds for encoding evolutionary computing representation in software engineering problem by Md Sultan, Abu Bakar, Din, Jamilah, Zulzalil, Hazura, Bakar, Abubakar Diwani

“…This paper presents metrics thresholds encoding algorithm as an alternative to replace human experts in developing problem representation. …”
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SURE-Autometrics algorithm for model selection in multiple equations by Norhayati, Yusof

“…The algorithm is developed by integrating the SURE model with the Autometrics search strategy; hence, it is named as SURE-Autometrics. …”
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Algorithmic approaches in model selection of the air passengers flows data by Ismail, Suzilah, Yusof, Norhayati, Tuan Muda, Tuan Zalizam

“…Algorithm is an important element in any problem solving situation.In statistical modelling strategy, the algorithm provides a step by step process in model building, model testing, choosing the ‘best’ model and even forecasting using the chosen model.Tacit knowledge has contributed to the existence of a huge variability in manual modelling process especially between expert and non-expert modellers.Many algorithms (automated model selection) have been developed to bridge the gap either through single or multiple equation modelling.This study aims to evaluate the forecasting performances of several selected algorithms on air passengers flow data based on Root Mean Square Error (RMSE) and Geometric Root Mean Square Error (GRMSE).The findings show that multiple models selection performed well in one and two step-ahead forecast but was outperformed by single model in three step-ahead forecasts.…”
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User interface and interactivity design guidelines of algorithm visualization on mobile platform by Supli, Ahmad Affandi

“…The proposed design guidelines were validated through expert reviews, which involved 16 experts. Results of the hypothesis testing concludes that the proposed AVOMP design guidelines are significantly perceived as having quality in serving as a guideline for developers or designers to design and develop AVOMP. …”
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Web-based expert system for material selection of natural fiber- reinforced polymer composites by Ahmed Ali, Basheer Ahmed

“…The system proved to be consistent with 93.3% classification accuracy with 15 neurons in the hidden layer. Finally, the developed expert system was deployed over the internet with central interactive interface from the server as a web-based application. …”
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Regionalization by fuzzy expert system based approach optimized by genetic algorithm. by Chavoshi, Sattar, Sulaiman, Wan Nor Azmin, Saghafian, Bahram, Sulaiman, Md. Nasir, Abd Manaf, Latifah

“…Genetic algorithm (GA) was employed to adjust parameters of FES and optimize the system. …”
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Using Heuristic Rules from Sentence Decomposition of Experts' Summaries to Detect Students' Summarizing Strategies by Idris, N., Baba, S., Abdullah, R.

“…Sentence decomposition of expert-written summaries is used to analyze how experts produce their summary sentences. …”
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Improved Salp Swarm Algorithm based on opposition based learning and novel local search algorithm for feature selection by Tubishat, Mohammad, Idris, Norisma, Shuib, Liyana, Abushariah, Mohammad A.M., Mirjalili, Seyedali

“…The second improvement includes the development and use of new Local Search Algorithm with SSA to improve its exploitation. …”
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