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Clustering ensemble learning method based on incremental genetic algorithms
Published 2012“…In the first and second phases, a threshold fuzzy c-means clustering algorithm as a clusterer and a pattern ensemble learning method based on the incremental genetic-based algorithms are proposed respectively. …”
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Machine Learning Applications in Offense Type and Incidence Prediction
Published 2024“…By applying this algorithm, the study achieves a high level of precision in predicting various types of detrimental behavior, enabling a better understanding of their underlying patterns. …”
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Fpga-Based Accelerator For The Identification Of Finger Vein Pattern Via K-Nearest Centroid Neighbors
Published 2016“…In recent years, finger vein recognition has emerged as a promising biometric technology due to the fact that each person in this world has unique finger vein pattern. …”
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Development of behavior-based reactive navigation system for mobile robot
Published 2013“…The repeatability tests shown that the developed navigation algorithm able the robot to reach the target with the similar navigation path pattern outcome in each simulation tests. …”
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Prediction of COVID-19 outbreak using Support Vector Machine / Muhammad Qayyum Mohd Azman
Published 2024“…This research process serves as a blueprint for developing advanced technical solutions that aid authorities and healthcare professionals in optimal resource management during emergency situations.…”
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Agent-Based Model of Virtual Community Cohesion (S/O: 13443)
Published 2021“…The formal specifications (differential equations) equations form the basis of algorithm development, which preceded the development of a virtual community cohesion prediction simulator. …”
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Implementing Aproiri Algorithm for Predicting Result Analysis
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How artificial intelligence is enhancing innovation in healthcare / Assoc. Prof. Dr. Fazlin Mohd Fauzi
Published 2023“…With the ability to analyse vast amounts of data, AI algorithms can uncover patterns and relationships that may not be immediately apparent to humans.…”
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Implementing Aproiri Algorithm for Predicting Result Analysis
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Revolutionizing healthcare through artificial intelligence / Assoc. Prof. Dr Fazlin Mohd Fauzi
Published 2023“…With the ability to analyze vast amounts of data, AI algorithms can uncover patterns and relationships that may not be immediately apparent to humans.…”
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Facial image retrieval on semantic features using adaptive mean genetic algorithm
Published 2019“…The emergence of larger databases has made image retrieval techniques an essential component, and has led to the development of more efficient image retrieval systems. …”
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Advanced differential interferometry synthetic aperture radar techniques for deformation monitoring: a review on sensors and recent research development
Published 2014“…Meanwhile, there is continuous development in sensors and algorithms to expand the applicability domain of the technology for a wide range of deformable surfaces and displacement patterns with higher precision. …”
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Smartphone aided real-time blood vein detection system
Published 2019“…Illuminated infrared light in the blood cells of the vein is absorbed due to the manifestation of the Haemoglobin in blood and the IR non-blocking camera can capture the vein patterns in the IR light spectrum. Contrast Limited Adaptive Histogram Equalization (CLAHE) algorithm was used to enhance the pattern of the vein in the Android application developed using OpenCV3. …”
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An improved grey wolf optimization based MPPT algorithm for photovoltaic systems under diverse partial shading conditions
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Assessment of crops healthiness via deep learning approach: Python / Mohamad Amirul Asyraf Mohd Ramli
Published 2023“…By leveraging image processing techniques, statistical analysis and machine learning algorithms, Python enables the extraction of relevant features and patterns from data. …”
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Smart IoT energy optimisation and localisation monitoring for e-bike sharing
Published 2025“…The methodology involved integrating sensors to collect key data, implementing connectivity for real-time monitoring, and developing an energy optimization algorithm to prolong battery life, improving the efficiency of the e-bike sharing system. …”
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Abnormal data detection model based on autoencoder and random forest algorithm: camera sensor data in autonomous driving systems
Published 2025“…Based on the above problems, this study addresses this challenge by proposing a hybrid anomaly detection model (called CAE-RF) that combines convolutional autoencoders and random forest algorithms to achieve efficient and accurate identification of abnormal data patterns to improve the safety of autonomous driving systems. …”
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