Search Results - (( based education based algorithm ) OR ( some application based algorithm ))*

Weed recognition based on erosion and dilation segmentation algorithm by S., Sulaiman, M.H., Siddiqi, I., Ahmad

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A partition based feature selection approach for mixed data clustering / Ashish Dutt by Ashish , Dutt

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Prediction of UPSR Result using clonal selection algorithm (PUR) / Muhammed Khaleeq Shafii by Shafii, Muhammed Khaleeq

“…It can be improved based on data set. This project also can be improved by make a comparative study on Artificial Immune System and other techniques or algorithms that can be used to solve predict actual UPSR grade. …”
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Weight Optimization in Recurrent Neural Networks with Hybrid Metaheuristic Cuckoo Search Techniques for Data Classification by Nawi, N.M., Khan, A., Rehman, M.Z., Chiroma, H., Herawan, T.

“…The proposed CSERN and CSBPERN algorithms are compared with artificial bee colony using BP algorithm and other hybrid variants algorithms. …”
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Use of web page credibility information in increasing the accuracy of web-based question answering systems / Asad Ali Shah by Asad, Ali Shah

“…The proposed algorithm can also help in designing credibility-based information systems in the areas of education, health, stocks, networking and media, requiring accurate and credible information, and would help enforce new Web-publishing standards, thus enhancing overall Web experience.…”
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Applying learning to filter text by Sainin, Mohd Shamrie

“…Text filtering has been a successful application especially in e-mail filtering. The use of probabilistic approaches such as naïve Bayes algorithm is the effective algorithms currently known for learning to filter or classify text document.Naïve Bayes algorithm is one of the algorithms in Machine Learning that manipulates probability estimation or reasoning about the observed data.The growing of bulk e-mail or known as spam e-mail becomes a threat to users’ privacy and network load and in the case of e -mail filtering,naïve Bayes classifier can be trained to automatically detect spam messages.Similar to the e-mail, forum application may be misused by the user to send bad messages and in some extent may offence other readers.Forum filtering may be less important compared to e-mail spam filtering; however there is a possibility of using naïve Bayes to learn the messages and automatically detect bad messages.Most of the forum application found in the web is applying keyword based text filtering which scan the words and change the detected words into certain representation.Instead of defining a set of keywords to filter the forum messages, this paper will explains the experiment in applying a learning to filter text especially in the educational and anonymous forum message, where there is no user registration required to submit messages.…”
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Feature selection methods application towards a new dataset based on online student activities / Muhammad Hareez Mohd Zaki ... [et al.] by Mohd Zaki, Muhammad Hareez, Abdul Aziz, Mohd Azri, Sulaiman, Suhana, Hambali, Najidah

“…The dataset's features are based on online students’ activities during e-learning. …”
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Research on the construction of English intelligent classroom based on Artificial Intelligence by Wu, Yong, Othman, Abdul Jalil, Saad, Mohd Rashid Mohd

“…This paper establishes integrated English teaching intelligent classroom based on artificial intelligence and proposes some suggestions, aiming to improve students' English learning performance and intercultural communication ability.…”
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Hybrid genetic random forest algorithm for the identification of ISI-indexed articles / Mohammadreza Moohebat by Mohammadreza, Moohebat

“…After ensuring that the classification technique was able to accomplish this work, Hybrid Genetic Random Forests (HGRF) was introduced as a new ensemble classifier based on a Random Forest algorithm, but altered slightly with some innovations. …”
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An Improved Evolutionary Algorithm in Formulating a Diet for Grouper by Cai-Juan, Soong, Abd Rahman, Rosshairy, Ramli, Razamin

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Vietnamese character recognition based on cnn model with reduced character classes by Phan, T.H., Tran, D.C., Hassan, M.F.

“…This article will detail the steps to build and train the convolutional neural network (CNN) model for Vietnamese character recognition in educational books. Based on this model, a mobile application for extracting text content from images in Vietnamese textbooks was built using OpenCV and Canny edge detection algorithm. …”
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Development of Hybrid Algorithm for Integrated Aircraft Routing Problem and Crew Pairing Problem by NurulFarihan Mohamed, ZaitulMarlizawati Zainuddin, Said Salhi, Nurul Huda Mohamed, NurulAkmal Mohamed

A practical and interactive web-based software for online Qur’anic Arabic learning by Abdullah, Matin Saad, Rahman, M.M. Hafizur, Pathan, Al-Sakib Khan, Alshaikhli, Imad Fakhri Taha

“…We discuss the design of different natural language processing algorithms for analyzing the Qur’anic corpus in order to identify and extract frequently occurring common language patterns to automate the production of educational material for the system. …”
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A practical and interactive web-based software for online Qur'anic Arabic learning by Abdullah, Matin Saad, Rahman, M.M. Hafizur, Pathan, Al-Sakib Khan, Alshaikhli, Imad Fakhri Taha

“…We discuss the design of different natural language processing algorithms for analyzing the Qur’anic corpus in order to identify and extract frequently occurring common language patterns to automate the production of educational material for the system. …”
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Classification models for higher learning scholarship award decisions by Wirawati Dewi Ahmad, Azuraliza Abu Bakar

“…Five algorithms were employed to develop a classification model in determining the award of the scholarship, namely J48, SVM, NB, ANN and RT algorithms. …”
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Determining Suitable Program For SPM Holder Using Neural Network Approach by Noraisah, Sudin

“…This methodology should be able to provide us with some new insights into the type of patterns that exist in educational data. Therefore, NN has a great potential in supporting the policy development for the current education.…”
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Imbalanced Classification Methods for Student Grade Prediction : A Systematic Literature Review by Siti Dianah, Abdul Bujang, Ali, Selamat, Ondrej, Krejcar, Farhana, Mohamed, Cheng, Lim Kok, Chiu, Po Chan, Hamido, Fujita

“…Student success is essential for improving the higher education system student outcome. One way to measure student success is by predicting students’ performance based on their prior academic grades. …”
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Estimation of Examinees' Ability Through Computer Adaptive Testing Based on Neural Network Approach by Kazemi, Azam

“…A key purpose of using an exam is to determine the proficiency level of each examinee based on his/her responses to the administered test. …”
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Framework for location based attendance system by using fourth industrial revolution (4ir) technologies by Ali, Azhar, Koondhar, Muhammad, Depar, Mansoor Hyder, Maher, Zulfikar Ahmed, Rind, Muhammad Malook, Shah, Asadullah

“…The 4IR is not only for industrial production, but it is also involved in almost every field including education and commercial domains. In every organization, including an educational institute or any other commercial organization, attendance has a great importance. …”
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Preserving the confidentiality of final examination question paper using image steganography technique / Aviefieorennia Tompell by Tompell, Aviefieorennia

“…Nowadays, examination is one of the important process in education. It is either done orally, in the form of written paper and practiced-based examination as well as participating in a course work. …”
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