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Image pre-processing algorithm for Ficus deltoidea Jack (Moraceae) varietal recognition: a repeated perpendicular line scanning approach
Published 2018“…Some of researchers have developed the image pre-processing algorithm to remove petiole section. …”
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Image Processing Of Digital Mammograms For Breast Cancer Detection And Classification
Published 2018“…The algorithms to be developed will consist of pre-processing, enhancement and image segmentation. …”
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Monograph -
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A comparative analysis of machine learning algorithms for diabetes prediction
Published 2024“…The methodology involves data collection, pre-processing, and training the algorithms using k-fold cross-validation. …”
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A Study And Development Of Digital Control Technique For Power Factor Correction Using Pre-Calculated Algorithm With A Low Cost 8-Bit Microcontroller
Published 2013“…The mature manufacturing technologies in digital devices has led to the proliferation of powerful yet low cost digital controllers and enable the possibility of digital power factor correction implementation in a more competitive way. A digital control technique for power factor correction using pre-calculated algorithm with a low cost 8-bit microcontroller is studied and presented in this paper. …”
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Abnormalities and fraud electric meter detection using hybrid support vector machine & genetic algorithm
Published 2023“…SVM is a classification technique developed by Vapnik [1] but a practical difficulty of using SVM is the selection of parameters such as C and kernel parameter, � in Gaussian RBF kernel. …”
Conference Paper -
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Development of an effective clustering algorithm for older fallers
Published 2022“…The clinical evaluation of falls risks is time-consuming as a result, hence limiting its availability. The purpose of this study was, therefore, to develop a clustering-based algorithm to determine falls risk. …”
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Neural network algorithm development for Ion Sensitive Field Effect Transistor (ISFET) sensor / Muhammad Nasrul Hakim Adenan
Published 2013“…To overcome the problem, the sensor needs to be trained for pre-calibrate and pre-process by developing a model of Artificial Neural Networks (ANN). …”
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Neural network algorithm development for Ion Sensitive Field Effect Transistor (ISFET) sensor: article / Muhammad Nasrul Hakim Adenan and Maizatul Zolkapli
Published 2013“…To overcome the problem, the sensor needs to be trained for pre-calibrate and pre-process by developing a model of Artificial Neural Networks (ANN). …”
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Investigation And Development Of Flattening Algorithms For Curved Latent Fingerprint Images
Published 2015“…Algorithm that applies ellipse approximation provides better performance as compared with the algorithm that developed based on parabolic approximation. …”
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Predicting bankruptcy using ant colony optimization / Nur Syafiqah Abdul Ghani
Published 2021“…This study also has shown that Ant Colony Optimization was a suitable technique in developing the classification model.…”
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Student Project -
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Development of robust control scheme for wheeled mobile robot in restricted environment
Published 2021“…This research is aimed to develop a wheeled mobile robot (WMR) that is able to track reliably and robustly a certain trajectory in a constrained environments. …”
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Optimizing Cloud Storage Costs: Introducing the Pre-Evaluation-Based Cost Optimization (PECSCO) Mechanism
Published 2025“…The core of the algorithm utilizes a Genetic Algorithm (GA) to find the optimal position for the first evaluator by minimizing the total distance between this evaluator and all CCTV nodes, aiming for surveillance efficiency. …”
Conference paper -
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Screen-related dependency in children: algorithm for referral from primary care in Malaysia
Published 2025“…While there are general guidelines, i.e., limiting screen time by WHO, there are not yet any specific outlines or pathways provided for healthcare providers at the primary care level, especially in the Malaysian context. This algorithm was developed by a group of Malaysian experts for primary care, aiming to facilitate the early screening of screen-related dependency in pre-school children and its referral for psychological interventions. …”
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Development of self-learning algorithm for autonomous system utilizing reinforcement learning and unsupervised weightless neural network / Yusman Yusof
Published 2019“…In the algorithm development a step-by-step example of the algorithm implementation is presented and then successfully implemented in Lego Mindstorm obstacle avoiding mobile robot as a proof of concept implementation of the hybrid AI algorithm. …”
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Application of the Hybrid Artificial Neural Network Coupled with Rolling Mechanism and Grey Model Algorithms for Streamflow Forecasting Over Multiple Time Horizons
Published 2018“…Relatively good performance of the proposed hybrid models with a data pre-processing approach provides a successful alternative to achieve better accuracy in streamflow forecasting compared to the traditional artificial neural network approach without a data pre-processing scheme.…”
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Digital Quran With Storage Optimization Through Duplication Handling And Compressed Sparse Matrix Method
Published 2024thesis::doctoral thesis -
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Hardware Simulator for Seizure, Preseizure and Normal Mode Signal Generation in LabVIEW Environment for Research
Published 2013“…Thispaper will enhance the purpose of developing a system which can alert locally in a form of wearable gadget, whenever a pre-seizure occurs. …”
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Non-Citation Index Journal -
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A keypoint based copy-move forgery detection and localization in digital images / Somayeh Sadeghi
Published 2015“…Several experiments are performed to validate the effectiveness and robustness of the proposed algorithm against different attacks, such as pre-processing attacks. …”
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Priority hybrid and EEF uplink scheduling algorithm for IEEE 802.16E
Published 2013“…The second contribution of this research is the reengineering of the EDF scheduling algorithms. The dominance of the pre-stipulated deadline is indeed acknowledged in the proposed and developed enhanced EEF algorithm. …”
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