Search Results - (( develop 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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Digital Quran With Storage Optimization Through Duplication Handling And Compressed Sparse Matrix Method by Ashraf Saleh Mohammad Alomoush

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

“…This study intends to develop a Spatial Temporal-Graph Convolutional Network (ST-GCN) action detection algorithm based on the MediaPipe framework. …”
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Factors and types of error that contributes to the difficulties in solving Mathematical problems among Year 5 pupils in SK Goebilt, Kuching / Hardi Rasidi by Rasidi, Hardi

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Neural Network Prediction of Suitability Course for Post PMR Students by Tuck, Looi

“…This project should be able to provide us with some insights into the type of pattern that exits in educational data. Therefore, Neural Network has great potential in educational planning. …”
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Harmony Search algorithm-based gasoline consumption modeling for Indonesia by Anggarani, Riesta, Watada, Junzo

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

“…Thus, there is a room for further enhancement to develop a routing algorithm as to mitigate the drawbacks with the NCPR. …”
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Poverty risk prediction based on socioeconomic factors using machine learning approach by Mohd Zawari, Nur Farhana Adibah

“…As the concept of data analytics grows, machine learning provides a potent solution that can be used to reduce poverty via predictive modelling. 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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Talent classification using support vector machine technique / Hamidah Jantan, Norazmah Mat Yusof and Mohd Hanapi Abdul Latif by Jantan, Hamidah, Mat Yusof, Norazmah, Abdul Latif, Mohd Hanapi

“…HR decisions depend on various factors such as human experience…”
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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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Development of gesture database for an adaptive gesture recognition system by Mohd Azri, Abd Aziz, Khairunizam, Wan, Shahriman, Abu Bakar, Siti Khadijah, Za'ba, Abdul Halim, Ismail, Zuwairie, Ibrahim, Mohd Saberi, Mohamad

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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

“…The project uses the Game Development Life Cycle (GDLC) to facilitate methodical development. …”
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Exploring students' performance in mathematics in Portugal using data analytics techniques: a data science use-case by Hassan, Raini, Fadzleey, Nur Zulfah Insyirah, Ab Hamid, Annesa Maisarah, Abd Aziz, Rabiatul Adawiyah, Jamalullain, Afiefah, Syaiful 'Adli, Fatin Syafiqah

“…The study employs descriptive and predictive analytics techniques to understand student performance patterns and forecast future outcomes based on family background factors. The practical application of this research lies in developing predictive models that inform data- driven decisions by educators and policymakers. …”
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Artificial Neural Network in Predicting Risk Exposure in Malaysian Shipyard Industry by David Chua, Sing Ngie, Calvin Chin, Yen Chih, Lim, Soh Fong

“…The artificial neural network (ANN) model used 10 influencing factors as inputs for risk exposure prediction: gender, age, occupation, workplace factors, activities involved, nationality, working hours, educational level, years of employment, and working zone. …”
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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

“…In Malaysia. the implementation of these technologies in education should be bolstered. The research and practices reported in the study also show how personalized learning was used and factors that made it work, thus the finding of this paper will guide other researchers to recognize various personal traits and the identification of appropriate technology trends and activities for further studies, as well as assist developers in the development of the personalized learning system and closely related to the adaptive learning systems.…”
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Determining malaria risk factors in Abuja, Nigeria using various statistical approaches by Segun, Oguntade Emmanuel

“…The BBNs developed revealed that SES, household size and education level have the highest influence on reported cases as variations in response due to global sensitivity of network nodes. …”
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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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Exploring the effect of shape parameters on font design using rational quadratic trigonometric curves by Sarkam, Nor Aslily, Azhari, Nur Ain Fitrah, Nor-Al-Din, Siti Musliha, Mohamad Sukri, Nursyazni

“…The study provides insights for educators, policymakers, and institutions to develop strategies that balance technological advancements with ethical responsibility, ensuring an inclusive and effective AI-driven educational environment. …”
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Navigating AI in higher education: examining overreliance and plagiarism among UiTM Tapah students by Sarkam, Nor Aslily, Mohammad, Nor Hazlina, Saiful Lizam, Nurizatie Farhanim, Azmi, Nurul Ain, Mazli, Nadhira Yasmin, Mohd Dzahir, Mizan Qamalia, Md Isa, Ros Amira Arisha

“…The study provides insights for educators, policymakers, and institutions to develop strategies that balance technological advancements with ethical responsibility, ensuring an inclusive and effective AI-driven educational environment. …”
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