Search Results - (( based education method algorithm ) OR ( based information a algorithm ))

Neighbour-based on-demand routing algorithms for mobile ad hoc networks by Ejmaa, Ali Mohamed E.

“…The proposed algorithm totally eliminates the need for fixed threshold values through the use of a novel formula that can easily estimate the node density and replace the fixed threshold value based on the neighbor information. …”
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A partition based feature selection approach for mixed data clustering / Ashish Dutt by Ashish , Dutt

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A Data Mining Approach to Construct Graduates Employability Model in Malaysia by Myzatul Akmam Sapaat, Aida Mustapha, Johanna Ahmad, Khadijah Chamili, Rahamirzam Muhamad

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Optimizing Decentralized Exam Timetabling with a Discrete Whale Optimization Algorithm by Emily Siew, Sing Kiang, Sze, San Nah, Goh, Say Leng

“…These methods have been rigorously tested and compared against proprietary heuristic-based software and manual methods. …”
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Learning style analysis based on Felder-Silverman Index Model using Rule Base algorithm by Nurhakim, Muhammad, Ismail, Suhaila, Mohd Yusop, Nurhafizah Moziyana, Ahmad, Siti Rohaidah

“…The system is developed using the PHP and CSS programming languages, with XAMPP and MySQL serving as the database that stores the necessary information. The Rule Base algorithm is used to classify students based on their learning style characteristics. …”
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Optimizing decentralized exam timetabling with a discrete whale optimization algorithm by Emily Sing Kiang Siew, San nah sze, Say leng goh

“…This paper presents a novel discrete Whale Optimization Algorithm approach, integrating the strengths of population-based and local-search algorithms for addressing the examination timetabling problem, a significant challenge many educational institutions face. …”
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An adaptive HMM based approach for improving e-Learning methods by Deeb B., Hassan Z., Beseiso M.

“…The evolution of web based interaction and information processing has provided an important platform to conduct e-learning activities. …”

Density based subspace clustering: a case study on perception of the required skill by Rahmat Widia, Sembiring

“…Grouping done to identify the level of data density and to identify outliers or irrelevant data that will create each to cluster exist in a separate subset. This thesis proposed subspace clustering based on density connection, named DAta MIning subspace clusteRing Approach (DAMIRA), an improve of subspace clustering algorithm based on density connection. …”
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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

“…This research proposes a credibility assessment algorithm for evaluating Web pages and using their credibility score for ranking answers in Web-based QA systems. …”
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Density subspace clustering: a case study on perception of the required skill by Sembiring, Rahmat Widia

“…Grouping done to identify the level of data density and to identify outliers or irrelevant data that will create each to cluster exist in a separate subset. This thesis proposed subspace clustering based on density connection, named DAta MIning subspace clusteRing Approach (DAMIRA), an improve of subspace clustering algorithm based on density connection. …”
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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

“…In addition, the availability of data from various academic information management systems in recent years had been increasing, causing classification to become a technique that is in demand by the educational institutes. …”
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Jogging activity recognition using k-NN algorithm by Afifah Ismail

“…Jogging activity recognition using the k-NN algorithm is a system that can help users collect information data of user speed movement using speed sensor and give the classification of jogging activity to the user. …”
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Comparison of algorithm Support Vector Machine and C4.5 for identification of pests and diseases in chili plants by M, Irfan, N, Lukman, A. A, Alfauzi, J, Jumadi

“…Chili plants are plants that are very susceptible to pests so BPS noted a decrease in chili production reaching 25%. Information about chili pests is collected so that it becomes a database that can be used to identify disease pests using the data mining method. …”
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Application of target detection method based on convolutional neural network in sustainable outdoor education by Yang, Xiaoming, Samsudin, Shamsulariffin, Wang, Yuxuan, Yuan, Yubin, Tengku Kamalden, Tengku Fadilah, Yaakob, Sam Shor Nahar

“…This exploration innovatively proposes a method based on the convolutional neural network (CNN) to mine the target information in underwater camera data. …”
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Anti-forensic steganography method based on randomization by Khalaf, Emad Taha, Norrozila, Sulaiman, Mohammed, Muamer N.

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Determination of dengue hemorrhagic fever disease factors using neural network and genetic algorithms / Yuliant Sibaroni, Sri Suryani Prasetiyowati and Iqbal Bahari Sudrajat by Yuliant, Sibaroni, Sri Suryani, Prasetiyowati, Iqbal Bahari, Sudrajat

“…Within this period, there was an increase in the number of spreading areas by 97% and an increase in the number of cases by 99%. Based on the data from previous studies, further information is needed related to the factors that have the most influence on the level of DHF infection in a region. …”
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Implementing Aproiri Algorithm for Predicting Result Analysis by Abdul Aziz, Azwa, Hassan, Hasni, Wan Idris, Wan Mohd Rizhan, Jusoh, Julaily Aida

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Comparison on machine learning algorithm to fast detection of malicious web pages by Wan Nurul Safawati, Wan Manan, Mohd Nizam, Mohmad Kahar, Noorlin, Mohd Ali

“…Compared to several decision tree method, Random Forest has shown promising and higher sensitivity result towards malicious data which is 98.3% compared to other classification algorithm…”
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Poverty risk prediction based on socioeconomic factors using machine learning approach by Mohd Zawari, Nur Farhana Adibah

“…This study seeks to develop a predictive model of measuring poverty risk using socioeconomic factors based on a machine learning framework. …”
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Implementing Aproiri Algorithm for Predicting Result Analysis by Nurul A., Emran, Aziz, A. A., Jusoh, J. A, Idris, W. M. R. W., Hassan, H.

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