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Modelling of the anti-collision algorithm in RFID system: article / Shafinaz Ismail by Ismail, Shafinaz

“…The major classifications of the algorithms are Aloha based protocols and tree based protocols. …”
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Modelling of the anti-collision algorithm in RFID system / Shafinaz Ismail by Ismail, Shafinaz

“…The major classifications of the algorithms are Aloha based protocols and tree based protocols. …”
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Real-Time Flood Inundation Map Generation Using Decision Tree Machine Learning Method: Case Study of Kelantan River Basins by Sidek L.M., Basri H., Marufuzzaman M., Deros A.M., Osman S., Hassan F.A.

Fatigue State Detection Through Multiple Machine Learning Classifiers Using EEG Signal by Hasan, Md Mahmudul, Hossain, Mirza Mahfuj, Norizam, Sulaiman

“…Three machine learning algorithms were applied to seventy-six subjects' electroencephalogram (EEG) readings to test their performance. …”
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Automatic detection and indication of pallet-level tagging from rfid readings using machine learning algorithms by Choong, Chun Sern

“…Different machine learning classifiers were tested based on the significant features, namely the Artificial Neural Network, Decision Tree, Random Forest, Naive Bayes Support Vector Machine, and k-Nearest Neighbors. …”
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Comparative analysis on the deployment of machine learning algorithms in the distributed brillouin optical time domain analysis (BOTDA) fiber sensor by Nordin N.D., Zan M.S.D., Abdullah F.

“…The algorithms analyzed were generalized linear model (GLM), deep learning (DL), random forest (RF), gradient boosted trees (GBT), and support vector machine (SVM). …”

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

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A cluster-based hybrid replica control protocol for high availability in data grid by Mabni, Zulaile

“…Another proposed algorithm is replica placement algorithm which selects and places only one replica in each cluster. …”
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Microwave tomography sensing for potential agarwood trees imaging by Rahiman, MHF, Thomas, TWK, Soh, PJ, Rahim, RA, Jamaludin J., Ramli, MF, Zakaria, Z

A student learning style auto-detection model in a learning management system by Rashid, Amirah, Raja Ikram, Raja Rina, Thamilarasan, Yarshini, Salahuddin, Lizawati, Abd Yusof, Noor Fazilla, Rashid, Zakiah

“…Future studies include the use of machine learning algorithms such as decision trees to auto-detect student learning styles in learning management systems.…”
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Digital Quran With Storage Optimization Through Duplication Handling And Compressed Sparse Matrix Method by Ashraf Saleh Mohammad Alomoush

Signal quality measures for pulse oximetry through waveform morphology analysis by Sukor, J. Abdul, Redmond, S. J., Lovell, N. H.

“…The mean error between both heart rate readings was 0.49 ± 0.66 beats perminute (BPM), in comparison to an error value observed without using the artifact detection algorithm of 7.23 ± 5.78 BPM. …”
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An early warning system for students at risk using supervised machine learning by Yam, Zheng Hong, Mohd Norshahriel, Abd Rani, Nabilah Filzah, Mohd Radzuan, Lim, Huay Yen, Sarasvathi, Nagalingam

“…Besides, this study also focuses on the Decision Tree, Random Forest, and XGBoost models in the system. …”
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