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Automatic Number Plate Recognition on android platform: With some Java code excerpts by ., Abdul Mutholib, Gunawan, Teddy Surya, Kartiwi, Mira

“…Hence, the objective of this research is to propose suitable and optimize algorithm for ANPR system on Android mobile phone. …”
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Embedded system for indoor guidance parking with Dijkstra’s algorithm and ant colony optimization by Mohammad Ata, Karimeh Ibrahim

“…This study proposes a car parking management system which applies Dijkstra’s algorithm, Ant Colony Optimization (ACO) and Binary Search Tree (BST) in structuring a guidance system for indoor parking. …”
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An ensemble learning method for spam email detection system based on metaheuristic algorithms by Behjat, Amir Rajabi

“…Feature subset selection and classifier ensemble learning are familiar techniques with high ability to optimize above problems. Recently, various techniques based on different algorithms have been developed. …”
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Development and usage of self-organising maps in high energy physics analysis with high performance computing / Mohd Adli Md Ali by Mohd Adli , Md Ali

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Model rangkaian neural bagi penentuan gaya pembelajaran pelajar berasaskan model Felder-Silverman by Mohd Faisal Ibrahim, Fatimah Az Zahra Azizan, Mohd Saiful Dzulkefly Zan

“…Artificial intelligence models are built based on neural network algorithms and the supervised machine learning technique. …”
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Predicting 30-day mortality after an acute coronary syndrome (ACS) using machine learning methods for feature selection, classification and visualization by Nanyonga Aziida, Sorayya Malek, Firdaus Aziz, Khairul Shafiq Ibrahim, Sazzli Kasim

“…Feature selection methods such as Boruta, Random Forest (RF), Elastic Net (EN), Recursive Feature Elimination (RFE), learning vector quantization (LVQ), Genetic Algorithm (GA), Cluster Dendrogram (CD), Support Vector Machine (SVM) and Logistic Regression (LR) were combined with RF, SVM, LR, and EN classifiers for 30-day mortality prediction. …”
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Smart attendance system with Iot based face recognition using deep learning approach by Seah, You

“…In conclusion, the project’s aim and objectives were successfully accomplished, which included developing a facial recognition system designed specifically for attendance tracking and conducting a literature review covering current approaches and results in facial recognition algorithms. …”
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Detection of SQL injection attack using machine learning by Tung, Tean Thong

“…The machine learning algorithms employed in this study encompass Convolutional Neural Networks (CNN), Logistic Regression, Naïve Bayes Classifier, Support Vector Machine, and Random Forest. …”
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Public transport delay prediction using deep learning by Mohd Rum, Siti Nurulain, Meor Yusoff, Meor Muhammad Nazmi, Mahdi, Amalia

“…Most of the work is on machine learning model development, focusing on delay prediction and taking into account several factors such as weather conditions and infrastructure issues. …”
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Unveiling sarcastic intent: web-based detection of sarcasm in news / Mohd Nazzim Lahaji, Tajul Rosli Razak and Mohammad Hafiz Ismail by Lahaji, Mohd Nazzim, Razak, Tajul Rosli, Ismail, Mohammad Hafiz

“…The results demonstrate the superiority of the developed model in sarcasm detection for news headlines. …”
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Robust Data Fusion Techniques Integrated Machine Learning Models For Estimating Reference Evapotranspiration by Chia, Min Yan

“…As for the NNE, a novel meta-learner based on the stochastic-enabled extreme learning machine integrated with whale optimisation algorithm (WOA-ELM) was developed and used in such an application for the first time. …”
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Handover Parameter for Self-optimisation in 6g Mobile Networks: A Survey by Ukasyah Mahamod, Ibraheem Shayea, Hafizal Mohamad, Marinah Othman, Fauzun Abdullah Asuhaimi

Zero distortion-based steganography for handwritten signature by Iranmanesh, Vahab

“…This means that any changes on the cover media (c) could lead to the identification of the stego media (s), which contains the secret message (m). Thus, developing a steganographic algorithm to use cover media (c) without raising attention is the most challenging task in data hiding. …”
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