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Parallel distributed genetic algorithm development based on microcontrollers framework by Krishnan P.S., Kiong T.S., Koh J.

Analyzing enrolment patterns: modified stacked ensemble statistical learning based approach to educational decision-making by Zun, Liang Chuan, Nursultan Japashov, Soon, Kien Yuan, Tan, Wei Qing, Noriszura Ismail

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Kodepoly: an engaging approach to blended futuristic learning in coding by Abd Rahman, Norsyafrina, Azhar Amanullah, Ayn Nur Azhana

“…The methodology employed encompasses a blended learning strategy, integrating tangible board game components with a complementary digital platform or application. …”
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Modelling Of Biogas Production From Banana Stem Waste With Neural Networks Learning Strategies To Optimse The Production by Abdul Sahli, Fakharudin, Md Nasir, Sulaiman, Norwati, Mustapha

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Overhead view based person counting using deep learning by Kaw, Chee Zhao

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E-history Malaysian secondary school textbook using TF-IDF algorithm and text visualization / Nur Hafizah Mohd Ridzuan by Mohd Ridzuan, Nur Hafizah

“…As the future works, the system can be improved by applied the system using mobile apps application to make the system can have easier access and implementation of another technique such as semantic-based searching and the usage of stemming algorithm would be considered to produce more meaningful results.…”
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Optimized deep learning techniques to identify rumors and fake news in online social networks by Zamani, Abu Sarwar, Hassan Abdalla Hashim, Aisha, Mohamed, Sara Saadeldeen Ibrahim, Alam, Nasre

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Anfis Modelling On Diabetic Ketoacidosis For Unrestricted Food Intake Conditions by Saraswati, Galuh Wilujeng

“…The project has also implemented the optimization process onto the proposed ANFIS model through the hybrid of Genetic Algorithm on the fuzzy membership function of the ANFIS model. …”
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Impedance spectroscopy of adherent mammalian cell culture for biochemical applications: a review by Voiculescu, Ioana R., Li, Fang, Nordin, Anis Nurashikin

“…Recently, the ECIS technique was combined with machine learning algorithms to distinguish stem cell proliferation from the differentiation processes. …”
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Modelling of biogas production process with evolutionary artificial neural network and genetic algorithm by Fakharudin, Abdul Sahli

“…In recent years, several researchers have actively pursued the application of machine learning to biogas production processes. …”
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Robotics in Education by Norashikin, M. Thamrin, Addie, Irawan, Zurita, Zulkifli, Syed Abdul Mutalib, Al Junid, Megat Syahirul Amin, Megat Ali, Anwar P. P., Abdul Majeed

“…The AI section discusses machine learning, path-planning algorithms (e.g., A* search, SLAM), and classroom case studies. …”
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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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Computational analysis of biological data: Where are we? by Soreq, Lilach, Mohamed, Wael Mohamed Yousef

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Assessment of near-infrared and mid-infrared spectroscopy for early detection of basal stem rot disease in oil palm plantation by Liaghat, Shohreh

“…Reflectance spectra were pre-processed and principal component analysis (PCA) was performed to obtain PC scores as input features used in different pattern recognition algorithms in order to select the best learning model of Ganoderma discrimination. …”
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REGION-BASED ADAPTIVE DISTRIBUTED VIDEO CODING CODEC by ABDELRAHMAN ELAMIN, ABDELRAHMAN ELAMIN

“…The resulting regions map is compressed by employing quadtree algorithm and communicated to the encoder via the feedback channel. …”
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Halal authentication of alcohol in food and beverages products: a review by Mohamad Ikhiwan, Nur Hanisah, Tukiran, Nur Azira

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Automate customer support handling E-Commerce enquiry using ChatGPT by Teo, Wen Jin

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Evaluation of multiple In Situ and remote sensing system for early detection of Ganoderma boninense infected oil palm by Ahmadi, Seyedeh Parisa

“…Ganoderma boninense is a causal agent of basal stem rot (BSR) and is responsible for a significant portion of oil palm (Elaeis guineensis) losses, which can reach USD 500 million a year in South East Asia. …”
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