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Optimisation of Environmental Risk Assessment Architecture using Artificial Intelligence Techniques
Published 2024“…Fuzzy arithmetic operations on fuzzy numbers and artificial neural networks with a back-propagation learning algorithm were used to represent the structure of the neuro-fuzzy risk assessment model, whereas genetic algorithms were used to develop the safe path selection model. …”
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Meta-heuristic approaches for reservoir optimisation operation and investigation of climate change impact at Klang gate dam
Published 2023“…Consequently, seeking managing of reservoir optimisation operations had always been at the forefront and to improve managing, algorithms have had been presented over the past few decades, beginning with conventional algorithms, followed by heuristic algorithms, and finally, the meta-heuristic algorithms (MHAs). …”
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Utilizing self-organization systems for modeling and managing risk based on maintenance and repair in petrochemical industries
Published 2018“…Networks used in this study are self-organizing networks with constant weight, which include Kohonen networks. For this purpose, operation impact, operation flexibility, maintenance cost, impact of safety and environment and frequency parameters had been considered as input; and using this model, the risk level is calculated. …”
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Optimal water supply reservoir operation by leveraging the meta-heuristic Harris Hawks algorithms and opposite based learning technique
Published 2024“…Development, operation, and management are vital in a reservoir operating policy, especially when the reservoir serves a complex objective. …”
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Steady state security analysis using artificial neural network
Published 2008“…Steady state security analysis aims at assessing the risk a contingency would entail for an electrical network operating at a certain point. …”
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Predicting bankruptcy using ant colony optimization / Nur Syafiqah Abdul Ghani
Published 2021“…This study focussed on Industrial Risk, Financial Flexibility, Credibility, Management Risk, Operating Risk, and Competitiveness. …”
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Lithium-Ion Battery Charge Equalization Algorithm for Electric Vehicle Applications
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Fabrication of robotic firefighting
Published 2025“…It is anticipated that the development of firefighting robot will significantly enhance firefighting operations by improving response times, reducing human exposure to hazards, and increasing overall operational efficiency. …”
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Finite element solution to engineering problems / G. Jagmohan Das
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Development of an intelligent information system for financial analysis depend on supervised machine learning algorithms
Published 2022“…The development of Management Information Systems (MIS) is impossible without the use of machine learning (ML). …”
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Video surveillance: Item monitoring against theft
Published 2023“…These alarms serve as an early warning for the system operator or owner, allowing them to take any necessary actions to address the risk. …”
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Final Year Project / Dissertation / Thesis -
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Computational intelligence approach for classification and risk quantification of metabolic syndrome / Habeebah Adamu Kakudi
Published 2019“…Therefore, the aim of this study is to propose and develop a novel non-clinical technique for the early risk quantification and classification of MetS refered to as genetically optimized Bayesian adaptive resonance theory mapping (GOBAM). …”
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Development of an explainable machine learning model for predicting depression in adults with type 2 diabetes mellitus: a cross-sectional SHAP-based analysis of NHANES 2009-2023
Published 2026“…A streamlined version incorporating the top 10 predictors was further developed and implemented as a user-friendly web-based risk estimation tool. …”
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Optimizing Visual Sensors Placement with Risk Maps Using Dynamic Programming
Published 2022“…Then, the dynamic programming algorithm operates on security quantified maps rather than uniform grids. …”
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Application Of Multi-Layer Perceptron Technique To Detect And Locate The Base Of A Young Corn Plant
Published 2007“…In this research, a vision system algorithm has been developed to identify and locate base of young corn trees based upon robot vision technology, pattern recognition techniques, and knowledge-based decision theory. …”
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Drilling Torque and Drag Application
Published 2013“…Although there are a lots of application developed to help users predict the drilling torque and drag for a drilling operation, however this did not help users in understanding the underlying process and algorithm behind the application that they are using. …”
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Final Year Project -
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Investigation of Multimodel Ensemble Performance Using Machine Learning Method for Operational Dam Safety
Published 2023“…Moreover, the failure of the model to yield consistent and reasonably accurate forecasts may undermine its credibility and results in poor reservoir planning and operation. Hence, consideration of the development of more flexible inflow forecasting systems is needed. …”
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