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Visualisation System of COVID-19 Data in Malaysia
Published 2021“…Pandemics are highly unlikely events, therefore, we need a system to understand the statistics about the pandamic. Machine learning algorithms can analyse the data and then we can plan for handling the pandamic. …”
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Visualisation System of COVID-19 Data in Malaysia
Published 2021“…Pandemics are highly unlikely events, therefore, we need a system to understand the statistics about the pandamic. Machine learning algorithms can analyse the data and then we can plan for handling the pandamic. …”
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Building a French Stemmer Using a Dictionary of French Root Words
Published 1999“…In this thesis, a strong French stemming algorithm based on a dictionary of French root words is developed. …”
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Incorporation of interference fit and cyclic loading in simulation algorithm for better prediction of micromotion of femoral stems
Published 2007“…Interface micromotion beyond a certain threshold limit inhibits bone ingrowth and favours the formation of fibrous tissue. In this study, an algorithm was constructed to predict micromotion and therefore instability of femoral stems. …”
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Predicting 30-day mortality after an acute coronary syndrome (ACS) using machine learning methods for feature selection, classification and visualization
Published 2021“…Hybrid combinations of feature selection, classification and visualisation using machine learning (ML) methods have the potential for enhanced understanding and 30-day mortality prediction of patients with cardiovascular disease using population-specific data. …”
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Development of an open-source and low-cost robotic arm based on STM32 microcontroller for promoting STEM education
Published 2023“…The forward kinematic has also been constructed and validated in a simulation-based environment in MATLAB and SolidWorks. …”
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Optimizing E-commerce inventory management using a machine-learning approach
Published 2025“…The results were visualised to generate actionable insights, enabling data-driven decisions. …”
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A survey of deep learning for lung disease detection on medical images: state-of-the-art, taxonomy, issues and future directions
Published 2020“…The taxonomy consists of seven attributes that are common in the surveyed articles: image types, features, data augmentation, types of deep learning algorithms, transfer learning, the ensemble of classifiers and types of lung diseases. …”
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Real-time anomaly detection using clustering in big data technologies / Riyaz Ahamed Ariyaluran Habeeb
Published 2019“…Ultimately, the processed data has been visualised by using Matplot and stored via HBase. …”
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A collaborative filtering approach using machine learning and business intelligence: a critical review
Published 2025“…Specifically, we discovered that combining deep learning techniques with reinforcement learning algorithms enhanced recommendation reliability by 35% while improving user engagement measures by 25%. …”
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The summer heat of cryptojacking season : Detecting cryptojacking using heatmap and fuzzy
Published 2022“…For machine learning-based detection, it's important to find important features in a minimal amount of data. …”
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Conference or Workshop Item -
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Predictors on outcomes of cardiovascular disease of male patients in Malaysia using Bayesian network analysis
Published 2023“…A bootstrap resampling approach was integrated into the structural learning algorithm to estimate probabilistic relations between the studied features that have the strongest influence and support. …”
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Forecasting utility management in UiTMCTKKT using predictive analytics / Nur Sufiah Muhammad Taufik
Published 2025“…Future iterations could also improve the system using real-time monitoring and machine-learning based predictive algorithms.…”
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Finite element study of metacarpophalangeal joint silicone implants
Published 2008“…An inhouse experimentally validated algorithm was used to calculate and display interface micromotion between the implant and the bone. …”
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Book Section -
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Predicting the popularity of tweets using the theory of point processes.
Published 2019“…The knowledge is combined using a novel empirical Bayes type approach, where the prior distribution for the model parameter is constructed based on the external knowledge, and the likelihood is calculated based on the internal knowledge. …”
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Multi depot dynamic vehicle routing problem with stochastic road capacity for emergency medical supply delivery in humanitarian logistics
Published 2022“…Specifically a PDS - Rollout Algorithm (PDS-RA) is adopted. Five variants of constructive base heuristics, Teach Based Insertion Heuristic (TBIH-1 - TBIH-5) are proposed complementing the PDSRA when dealing with the lookahead rollout involving stochastic road capacity. …”
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Enhancement of compound word extraction in Malay sentences using modified linguistics approaches / Zamri Abu Bakar
Published 2023“…Several preprocessing steps were involved which include normalization, tokenization, stemming and tagging. Finally, this study described several rules-based and modified the rules to get the most relevant relation between the first word and the second word in order to assist this study in solving the problems.…”
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