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A modified watershed segmentation algorithm for automated lung cancer lesion detection in CT scan images / Nur Najihah Sofia Mohd Marzuki
Published 2024“…Lung cancer is one of the leading cancers among both men and women and ranks among the most dangerous and life-threatening diseases worldwide. …”
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A concept paper on readiness in artificial intelligence (AI) mastery and its impact on 21st century pedagogy among pre-service history teachers
Published 2025“…Preliminary observations suggest that while awareness of AI is relatively high among pre-service teachers, there is limited understanding of its pedagogical applications and ethical implications. …”
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Object detection in aerial images using Convolutional Neural Network (CNN) / Wan Nur Alya Athirah Wan Roshdee
Published 2024“…CNN were used to train the model with a split of 60:40 with the highest accuracy among the test result is 68.42%. The model's performance depends on the task, dataset, architecture, and implementation. …”
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Crosstalk-Free Scheduling Algorithms for Routing in Optical Multistage Interconnection Networks
Published 2009“…It is proven in this thesis that the new approach has by far achieved the best performance among all the algorithms being tested in this research …”
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Hybrid neural network in medicolegal degree of injury determination based on Visum et Repertum
Published 2023“…Then, the selection of the critical features is chosen via Neural Network (NN) as classification algorithm and Genetic Algorithm (GA) as an optimization technique. …”
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Prediction of blood-brain barrier permeability of compounds by machine learning algorithms
Published 2024“…Among 4 ML algorithms, Extreme Gradient Boosting (XGBoost) overperformed in BBB permeability prediction and was chosen as the prediction model for deployment. …”
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Detection of corneal arcus using rubber sheet and machine learning methods
Published 2019“…The framework consists of three stages of implementation such as pre-processing, features extraction and classification. …”
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Predicting Student Performance in Object Oriented Programming Using Decision Tree : A Case at Kolej Poly-Tech Mara, Kuantan
Published 2013“…The objective was to identify and implement the most accurate algorithm for the KPTM dataset and to come up with a good prediction model using decision tree technique. …”
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Resource Efficient For Hybrid Fiber-Wireless Communications Links In Access Networks With Multi Response Optimization Algorithm
Published 2021“…This work proposes a Multi response Optimization (MO) algorithm, named MO-LMMHOWAN that apply in Last Mile Mobile Hybrid Optical Wireless Access Network (LMMHOWAN). …”
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Hidden markov model for decision making among heterogeneous systems in intelligent building
Published 2014“…In order to improve the response time a machine learning algorithm like Hidden Markov Model (HMM) instead of the rule-based is used. …”
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Learner’s emotion prediction using production rules classification algorithm through brain computer interface tool
Published 2018“…These rule sets was implemented in the MYEmotion using MATLAB environment. …”
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Identifying and predicting Muslim’s community funeral funding protocols
Published 2024“…This research aims to understand funeral poverty among the Muslim community in Malaysia by using Machine Learning algorithms. …”
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Risk prediction analysis for classifying type 2 diabetes occurrence using local dataset
Published 2020“…In order to achieve this, several data pre-processing method is implemented to improve the model performance. …”
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Model input and structure selection in multivariable dynamic modeling of batch distillation column pilot plant / Ilham Rustam
Published 2015“…Further, after a careful investigation into the OLS algorithm, it was shown that the ERR technique which is an essential part of the algorithm to reach model parsimony, has led the resultant model to select an incorrect model terms albeit some improvement in model selection criteria and validation method adopted in this study. …”
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Modeling of flood water level prediction using NNARX / Fazlina Ahmat Ruslan
Published 2015“…Further, after a careful investigation into the OLS algorithm, it was shown that the ERR technique which is an essential part of the algorithm to reach model parsimony, has led the resultant model to select an incorrect model terms albeit some improvement in model selection criteria and validation method adopted in this study. …”
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Exploring employee working productivity: initial insights from machine learning predictive analytics and visualization
Published 2023“…Data from an academic institution were collected and pre-processed by encoding relevant features before applying various machine learning predictive models. …”
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Transformer asset management based on Markov Prediction Model utilizing health index
Published 2019“…Transformers are considered among the important assets in a power system network, failures of which could lead to costly consequences. …”
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