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Investigation Of Electrical Capacitance Tomography For Agarwood Detection by Muhamad Aiqil, Sarudin

“…To get matured and quality agarwood, it needs to wait for the tree to grow and human experience cannot predict the placement and quantity of agarwood in a tree. …”
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Prediction of electronic cigarette and vape use among Malaysian: decision tree analysis by Kartiwi, Mira, Ab Rahman, Jamalludin, Nik Mohamed, Mohamad Haniki, Draman, Samsul, Ab Rahman, Norny Syafinaz

“…The predictive model was developed using Induction Decision Tree (ID3) algorithm, a popular data mining technique an exploratory tool for knowledge discovery. …”
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The implications for ahybrid detection technique against malicious sqlattacks on web applications by Bahjat Arif, Sarajaldeen Akram, Wani, Sharyar

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New Learning Models for Generating Classification Rules Based on Rough Set Approach by Al Shalabi, Luai Abdel Lateef

“…Recently, different models were used to generate knowledge from vague and uncertain data sets such as induction decision tree, neural network, fuzzy logic, genetic algorithm, rough set theory, and others. …”
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Digital Quran With Storage Optimization Through Duplication Handling And Compressed Sparse Matrix Method by Ashraf Saleh Mohammad Alomoush

Initial study of electrical capacitance tomography for detecting agarwood by Muhammad Aiqil, Sarudin, Yasmin, Abdul Wahab, Ain Eazriena, Che Man, Nurhafizah, Abu Talip @ Yusof, Rohana, Abdul Karim, Suzanna, Ridzuan Aw, Juliza, Jamaludin, Jaysuman, Puspanathan, Elmy Johana, Mohamed, Ruzairi, Abdul Rahim, Sia, Yee Yu

“…This study investigates the use of electrical capacitance tomography (ECT) as a non-invasive method to monitor the quantity of agarwood in a tree. Previous methods like sonic, magnetic inductive, and microwave tomography have been used, but it's unclear if voltage variations in resin regions are significant. …”
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Simultaneous measurement of multiple soil properties through proximal sensor data fusion: a case study by Wenjun, Ji, Adamchuk, Viacheslav I., Song, Chao Chen, Mat Su, Ahmad S., Ismail, Ashraf, Qianjun, Gan, Zhou, Shi, Biswas, Asim

“…After choosing the optimal sensor combination for each soil property, the predictive capability was compared using different data mining algorithms, including support vector machines (SVM), random forest (RF), multivariate adaptive regression splines (MARS), and regression trees (CART). …”
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