Search Results - (( mobile optimization steam algorithm ) OR ( based observational risk algorithm ))
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Machine learning-based risk prediction model for medication administration errors in neonatal intensive care units: a prospective direct observational study
Published 2024“…Each observation was independently assessed for errors. Ten machine learning (ML) algorithms were applied with features derived from systematic reviews, incident reports, and expert consensus. …”
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Meta-heuristic approaches for reservoir optimisation operation and investigation of climate change impact at Klang gate dam
Published 2023“…The results obtained from the proposed meta-heuristic algorithms of this study were then evaluated for reservoir risk analysis, for the observed period assessment and the climate assessment. …”
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Final Year Project / Dissertation / Thesis -
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Risk perception modeling based on physiological and emotional responses / Ding Huizhe
Published 2024“…The ANN demonstrated superior ability in distinguishing low and high-risk levels. However, when risk degrees were closely matched, the integrated model with weight adjustments based on base models outperformed ANN. …”
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Modeling Earthquake Bond Prices with Correlated Dual Trigger Indices and the Approximate Solution Using the Monte Carlo Algorithm
Published 2025journal::journal article -
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Routine insulin sliding scale protocol versus software driven algorithm (star protocol) for blood glucose management of critically ill patients in the ICU: A prospective observatio...
Published 2018“…This was a prospective observational study conducted over a duration of 1 year. …”
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6
Em Approach on Influence Measures in Competing Risks Via Proportional Hazard Regression Model
Published 2000“…In this thesis the analysis of this particular model was based on the cause-specific hazard of Cox model. …”
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Risk assessment of dengue in Betong Sarawak using simple mathematical model
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Student Project -
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Steady state security analysis using artificial neural network
Published 2008“…The cases where operating violations are observed are considered as alert , while the cases for which the load flow algorithm exhibits a diverging algorithmically solution, are considered as emergency. …”
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Student Project -
10
Prediction of Heart Disease Risk Using Machine Learning with Correlation-based Feature Selection and Optimization Techniques
Published 2021“…The Optimizable k-Nearest Neighbors algorithm achieved an utmost accuracy of 95.04, area under the ROC curve of 0.99 on the Correlation-based Feature Selection optimal set, and that of 90.34, 0.96 respectively, on full features. …”
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Conference or Workshop Item -
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Optimizing sentiment analysis of Indonesian texts: Enhancing deep learning models with genetic algorithm-based feature selection
Published 2024“…This study examines the optimization of Indonesian text sentiment analysis through the integration of feature selection using a genetic algorithm (GA) with deep learning models. The application of GA for data dimensionality reduction from 41,140 to 20,769 features, coupled with fitness evaluation based on SVM, resulted in an observed increase in accuracy by 8.10% for SVM, 36.1% for Naïve Bayes, 7.82% for LSTM, 5.47% for DNN, and 6.25% for CNN. …”
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Radiation dose, cancer risk and diagnostic performance of computed tomography pulmonary angiography examination
Published 2021“…CNR and FOM performed significantly better when IR algorithm levels were increased, tube potential was reduced, and if patients had smaller body sizes (p < 0.05) while fluctuation trends were observed in SNR. …”
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13
Edge assisted crime prediction and evaluation framework for machine learning algorithms
Published 2022“…As a result, in this paper, a strategy is provided for predicting crime occurrences in a city based on historical events and demographic observation. …”
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Comparative spatial analysis of enteric fever and leptospirosis in Kelantan, Malaysia using e-notifikasi surveillance database, 2016 – 2022
Published 2023“…Spatial analysis revealed distribution patterns, clustering, and hotspot locations for both diseases, indicating common environmental and socio-economic risk factors for both diseases. Diagnostic algorithms, targeted interventions and early warning systems can be implemented based on these findings to improve disease control and prevention strategies.…”
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Thesis -
15
Risk-ranking matrix for security patching of exploitable vulnerabilities
Published 2024“…Unlike few existing research works, our proposed risk ranking matrix for most exploitable vulnerabilities aggregated all the relevant attributes for base CVSS scoring and the CVSS score itself, the proposed algorithm has ten risk levels which are highly granular and flexible. …”
Conference Paper -
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Video surveillance: Item monitoring against theft
Published 2023“…All the mentioned counters will be set to 0 if the conditions specified are not met. Based on the predetermined conditions for each type of risk, the appropriate alarms will be activated while a risk occurs. …”
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Final Year Project / Dissertation / Thesis -
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The potential of shear wave velocity as an erosion risk index
Published 2022“…Low erosion risk levels were observed for high shear wave velocity values, representing a decaying pattern in exponential relation. …”
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Value-based Maintenance Management Model for University Buildings in Malaysia - A Critical Review
Published 2009“…It entails making intricate decisions under complex algorithms, uncertainty and risks within organizational resources. …”
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Citation Index Journal -
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Optimized techniques for landslide detection and characteristics using LiDAR data
Published 2018“…The segmentation process was optimized using Fuzzy-based Segmentation Parameter. Also, six techniques: Ant Colony Optimization (ACO), Gain Ratio (GR), Particle Swarm Optimization (PSO) and Genetic Algorithm (GA), Random forest (RF), and Correlation-based Feature Selection (CFS) were used for the feature selection. …”
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Rockfall hazard assessment based on airborne laser scanning data and GIS in tropical region
Published 2016“…Kinematic algorithms allow rockfall modelling in different motion modes in a 3D frame. …”
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