Search Results - (( needs educational factor algorithm ) OR ( java implication based algorithm ))

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

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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

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

Learning analytic framework for students’ academic performance and critical learning pathways by Lyn, Jessica Tan Yen, Goh, Yong Kheng, Lai, An Chow, Ngeow, Yoke Meng

“…In the domain of higher education, the need to leverage data-driven insights for understanding and enhancing student academic performance is becoming increasingly critical. …”
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Neighbour-based on-demand routing algorithms for mobile ad hoc networks by Ejmaa, Ali Mohamed E.

“…In addition, with regard to the second algorithm SNBR, the results show that SNBR overcomes the NCPR algorithm terms of normalize routing overhead by 58.80% as its due to its dropping factor. …”
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The application of suitable sports games for junior high school students based on deep learning and artificial intelligence by Ji, Xueyan, Samsudin, Shamsulariffin, Hassan, Muhammad Zarif, Farizan, Noor Hamzani, Yuan, Yubin, Chen, Wang

“…Traditional physical education teaching methods are limited by resources, feedback efficiency and other factors, and it is difficult to meet students’ personalized learning needs. …”
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Examining the potential of machine learning for predicting academic achievement: A systematic review by Nazir, M., Noraziah, Ahmad, Rahmah, M., Sharma, Aditi

“…Predicting student academic performance is a critical area of education research. Machine learning (ML) algorithms have gained significant popularity in recent years. …”
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Examining the potential of machine learning for predicting academic achievement: A systematic review by Nazir, M., Noraziah, Ahmad, Rahmah, M., Sharma, Aditi

“…Predicting student academic performance is a critical area of education research. Machine learning (ML) algorithms have gained significant popularity in recent years. …”
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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

“…Most of the articles used students’ grades as the most influential factor to predict students’ performance. Thus, more significant features are needed to evaluate students’ performance to improve the existing method. …”
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Predicting students’ STEM academic performance in Malaysian secondary schools using educational data mining by Termedi @ Termiji, Mohammad Izzuan

“…Data mining has been widely applied in educational area recently and it is commonly called Educational Data Mining (EDM). …”
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Improving The Institutional Research and Publication Performances Using Clustering Algorithm by Mohmad Kamal, Fazillah, Omar, Mohd Faizal, Jamil, Jastini

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Trends on technologies and artificial intelligence in education for personalized learning: systematic literature review by Hashim, Suraya, Omar, Muhd Khaizer, Ab. Jalil, Habibah, Mohd Sharef, Nurfadhlina

“…The study of technologies for personalized learning in education in other nations has primarily concentrated on higher education, and it is advised that the scope of the research be expanded. …”
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A comparative analysis of four classification algorithms for university students performance detection by Dipta, Das, Asif Khan, Shakir, Sah Golam, Rabbani, Mostafijur, Rahman, Syamimi Mardiah, Shaharum, Sabira, Khatun, Norasyikin, Fadilah, Khandker, M. Qaiduzzaman, Md. Shariful, Islam, Md. Shohel, Arman

“…This paper proposed a model for identifying the key factors of variation Bangladeshi students’ academic performance and predicts their results. …”
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Enhancing programming language learning with 3D game-based programming for MSU students: codadventure / Abdullah Adib Aditia Wirawan and Nur Suhana Mohd Redzo by Aditia Wirawan, Abdullah Adib, Mohd Redzo, Nur Suhana

“…In the future, the project has the potential to include an adaptive learning path that customizes the educational experience on the individual student's progress, abilities, and areas that need to be developed.…”
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Unlocking insights: A comprehensive dataset analysis on the acceptance of computational thinking skills among undergraduate university students through the lens of extended techno... by Rosli, Mohd Shafie, Awalludin, Muhammad Fairuz Nizam, Tau Han, Cheong T, Saleh, Nor Shela, Md Noor, Harrinni

“…This article addresses the critical need to comprehend the factors influencing the acceptance of computational thinking. …”
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Computer-assisted pterygium screening system: a review by Abdani, Siti Raihanah, Zulkifley, Mohd Asyraf, Shahrimin, Mohamad Ibrani, Zulkifley, Nuraisyah Hani

“…One of the associated risk factors for this condition is a low educational level, which explains the reason that the majority of the patients are not aware of this condition. …”
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Spatial-temporal analysis using two-stage clustering and GIS-based MCDM to identify potential market regions by Ernawati, Kamal Baharin, Safiza Suhana, Kasmin, Fauziah

“…Unlike for-profit businesses, besides quantity factors, educational institutions need to consider student quality factors in selecting promotional locations. …”
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干扰学生的主要因素是什么？调查结果和创新解决方案 = What are the main factors that interfere with students? Survey results and innovative solutions by Muhsin, Sayyed Mohamed

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Implementation of Hybrid Indexing, Clustering and Classification Methods to Enhance Rural Development Programme in South Sulawesi by Muhammad, Faisal

“…Limited involvement of communities and village institutions in planning, implementing, and supervising village development activities, as well as difficulty in monitoring development results, resulted in a lot of untapped natural potential in traditionally managed villages due to technological limitations and low levels of education. Development in rural areas faces obstacles from internal factors such as lack of initiative and knowledge among rural communities and external factors such as constraints on government support. …”
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Bayesian network of influence of sociodemographic variables on dengue related knowledge, attitude, and practices in selected areas in Selangor, Malaysia by Ajibola, Lamidi-Sarumoh Alaba

“…There are many complex factors that contribute to the incidence of dengue, for example, climatic condition, environmental factors, socioeconomic status, socio-demographic variables, human behaviour, and health belief pattern among others. …”
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