Search Results - (( age educational based algorithm ) OR ( java application optimisation algorithm ))

Study and Implementation of Data Mining in Urban Gardening by Mohana, Muniandy, Lee, Eu Vern

“…The system is essentially a three-part development, utilising Android, Java Servlets, and Arduino platforms to create an optimised and automated urban-gardening system. …”
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Web-based expert system for material selection of natural fiber- reinforced polymer composites by Ahmed Ali, Basheer Ahmed

“…Finally, the developed expert system was deployed over the internet with central interactive interface from the server as a web-based application. As Java is platform independent and easy to be deployed in web based application and accessible through the World Wide Web (www), this expert system can be one stop application for materials selection.…”
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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. A secondary dataset that considered 635 households of Terengganu was used, and the following aspects were identified as important indicators of poverty: age, income, education, occupation, and health. …”
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Web-based marketing communication to develop brand image and brand equity of higher educational institutions: a structural equation modelling approach by Momen, Md. Abdul, Sultana, Seyama, Haque, A. K. M. Ahasanul

“…Higher education is not an exception. However, configuring the right mix in the age of social networking sites and various online displays and constantly changing algorithm in search engine optimization have become major challenges today. …”
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Artificial intelligence to predict pre-clinical dental student academic performance based on pre-university results: a preliminary study by Lestari, Widya, Abdullah, Adilah Syahirah, Ahmad Amin, Afifah Munirah, faridah, Nur, Sukotjo, Cortino, Ismail, Azlini, mohamad ibrahim, mohamad shafiq, Insani, Nashuha, Utomo, Chandra Prasetyo

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Exploratory research on the impact of Mysejahtera application on to the elderly based on user experience / Nur Aisya Roslan and Saiful Bahar Salim by Roslan, Nur Aisya, Salim, Saiful Bahar

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It’s that time of the month!: development of digital intervention for adolescent menstrual health education by Saiful Bahri, Hannah Sabrina, Mohd Mohadis, Hazwani

“…The platform integrates comprehensive, evidence-based educational content on menstrual health, hygiene, cycle irregularities, and emotional well-being, fostering menstrual literacy. …”
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Research on College Students' Classroom Learning Based on Informatization to Promote English Education System in China by Yanyun Huang, Suyansah Swanto

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ScholarsAid: a personalized scholarship web application based on web scraping/ Muhammad Nur Haqeem Sulaiman and Norhasliza Ahmad by Sulaiman, Muhammad Nur Haqeem, Ahmad, Norhasliza

“…The application allows students to easily search and filter scholarships based on their specific needs or preferences, and utilizes a matching algorithm to provide the most relevant scholarship options. …”
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User-centric learning for multiple access selections by Dzulkifli, Sumayyah, Hashim, Wahidah, Ismail, Ahmad Fadzil, Dohler, Mischa

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Artificial Intelligence (AI) to predict dental student academic performance based on pre-university results by Ahmad Amin, Afifah Munirah, Abdullah, Adilah Syahirah, Lestari, Widya, Sukotjo, Cortino, Utomo, Chandra Prasetyo, Ismail, Azlini

“…Conclusion: The results obtained show that machine learning technology is efficient and relevant for predicting dental students’ performance based on their pre-admission results. Stakeholders can use the identified effective factors to improve education outcomes.…”
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Artificial Intelligence (AI) to predict dental student academic performance based on pre university results by Abdullah, Adilah Syahirah, Ahmad Amin, Afifah Munirah, Lestari, Widya, Sukotjo, Cortino, Utomo, Chandra Prasetyo, Ismail, Azlini

“…The dataset input variables will include student’s gender, age during admission, scholarship, parents’ level of education, pre-university result, Professional Exams result, and final CGPA. …”
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Academic Achievement Prediction Model Using Neural Networks by Normaziah, Abdul Rahman

“…The results also indicate that neural network has a potential to be used for education planning.…”
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Development of an explainable machine learning model for predicting depression in adults with type 2 diabetes mellitus: a cross-sectional SHAP-based analysis of NHANES 2009-2023 by Tang, Yan, Jia, Lei, Zhou, Junjun, Dou, Jin, Qian, Jingjuan, Yi, Xin, Soh, Kim Lam

“…The XGBoost model demonstrated the highest discriminative ability, with a validation area under the receiver operating characteristic curve of 0.888, accuracy of 0.834, F1-score of 0.715, sensitivity of 0.577, and specificity of 0.979, surpassing the performance of the other algorithms evaluated. SHapley Additive exPlanations analysis revealed gender, poverty-to-income ratio, sleep duration, smoking status, educational levels, race, age, high cholesterol, hypertension, and insulin use as the most influential predictors. …”
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Image and translated Al-Quran verses retrieval system using thesaurus approach based on Malay query words / Mohd Zaini Mat Abas by Mat Abas, Mohd Zaini

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Enhanced bibliographic data retrieval and visualization using query optimization and spectral centrality measure by Ramasamy, Chitra, Zolkepli, Maslina

“…This method will make ease for the young researchers, educators and students to dive into the enormous real world social and biological network.…”
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Computational Thinking : Experiences of Rural Pupils in Sarawak Primary School by Nur Hasheena, Anuar

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StockMaster simulator / Nor Hamiza Mohd Noor ... [et al.] by Mohd Noor, Nor Hamiza, Asbullah, Nurul Farzana, Hairi Annuar, Syazana Ezzati, Tujang, Anatasha Alfiera, Muhammad Rasli, Irdina Hani

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Development Of The Readability Index Model For Young Adults With Reading Difficulties In Malay Language by Mohamad Hazawawi, Nur Amalina

“…The motivation of this study is based on the fact that there are some young adults aged 18 years old and above who still cannot read properly and are having difficulties in reading and writing. …”
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Factors with retirement behaviour among retirees and pre-retirees identified with a machine learning method / Muhammad Aizat Zainal Alam by Muhammad Aizat , Zainal Alam

“…Towards being more prepared for retirement, pre-retirees are encouraged to move from heavily saving in current assets wealth category such as in fixed deposits (which has the highest predictive weightage on the tendency of thinking about retirement based on an ANN model with an accuracy rate of 65.80%) towards more savings in future income wealth category such as in Private Retirement Schemes (PRS). …”
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