Search Results - (( risk mitigation using algorithm ) OR ( based simulation based algorithm ))
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1
Rockfall hazard assessment based on airborne laser scanning data and GIS in tropical region
Published 2016“…In this study, rockfall source areas were identified using multi-criteria method based on DEM derivates, terrain type or land use/cover (LULC) and high spatial resolution aerial photo (13cm). …”
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2
Predictive modelling of wind-influenced dynamic fire spread probability in tank farm due to domino effect by integrating numerical simulation with ANN
Published 2023“…An artificial neural network (ANN) incorporating the Levenberg–Marquardt algorithm is used to predict fire spread probability based on numerical data set. …”
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3
EDITORIAL: INTEGRATION OF HYDROLOGICAL MODELS AND MACHINE LEARNING TECHNIQUES FOR WATER RESOURCES MANAGEMENT
Published 2025“…Machine learning applications extend to flood forecasting, drought risk assessment, and climate change impact analysis, strengthening disaster mitigation efforts. …”
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4
A new meta‑heuristic optimization‑based MPPT control technique for green energy harvesting from photovoltaic systems under different atmospheric conditions
Published 2023“…Hence, a new metaheuristic method such as an opposition-based equilibrium optimizer (OBEO) algorithm is used in this work for mitigating the oscillations around GMPP. …”
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5
Optimal Maintenance Scheduling for Multi-Component E-Manufacturing System
Published 2009“…Then, using genetic algorithm-based software which is called SimRunner and has been embedded by ProModel, the scheduling optimization procedure is run to find optimum maintenance schedule. …”
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6
Debris flow susceptibility areas identification in Bukit Kachi, Sintok, Kedah using Flow R Software / Nursyamimi Che Daud
Published 2023“…The propagation of debris flow is simulated using a spreading algorithm and an energy calculation. …”
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Effect of mesh coarseness on slope stability analysis using 2D and 3D finite element method
Published 2024“…However, the stability analyses using Finite Element Method (FEM) have gained significant attention in geotechnical engineering due to their ability to simulate slope behaviour and predict stability accurately by employing mathematical models and computational algorithms. …”
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Decision support system for optimal design and operation of ponds for watershed runoff management
Published 2010“…The objectives of this study were to assess the impacts of landuse changes on the watershed runoff in a humid tropical river basin and to develop a decision support system based on continuous hydrological simulation integrated with optimization algorithm to determine the optimal ponds locations, sizes and operations for floods control during high flow months and maintain river flow during low flow months. …”
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9
Quantitative and intelligent risk models in risk management for constructing software development projects: A review
Published 2016“…Indeed, this area needs more effort from scholars and researchers in quantitative and intelligent risk models to mitigate risks. As future work, we will use these hybrid models of quantitative and intelligent for mitigating software risks in cloud computing such as neural network, genetic algorithm and others artificial intelligence techniques.…”
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Optimization-based simulation algorithm for predictive-reactive job-shop scheduling of reconfigurable manufacturing systems
Published 2022“…This study is aimed to formulate an optimization-based algorithm with simulation tool to reduce the throughput time of complex RMS, which can comply with complex product allocations and flexible routings of the system. …”
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11
A simulation based fly optimisation algorithm for swarms of mini autonomous surface vehicles application
Published 2011“…Present paper intends to provide a detailed description of a new bio-inspired Metaheuristic Algorithm. Based on the detailed study of the Drosophila, the flowchart behaviour for the algorithm, code implementation, methodologies and simulation analysis, a novel Fly Optimization Algorithm (FOA) approach is presented. …”
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12
Simulated Kalman Filter: A Novel Estimation-based Metaheuristic Optimization Algorithm
Published 2016“…In this paper, a new population-based metaheuristic optimization algorithm, named Simulated Kalman Filter (SKF) is introduced. …”
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Incorporating the range-based method into GridSim for modeling task and resource heterogeneity
Published 2017“…However, most simulation studies that based on GridSim have not considered the nature of heterogeneity. …”
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14
Performance of Ad-Hoc on-Demand Distance Vector Discovery Algorithms Based On Packet Lifetime
Published 2008“…From the extensive simulations based on the performance metrics, the two proposed algorithms have shown distinct improvement and subsequently enhancing the performance of AODV.…”
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15
Adaptive Beamforming Algorithm based on Generalized Opposition-based Simulated Kalman Filter
Published 2016“…In this paper, a new population-based metaheuristic optimization algorithm named Generalized Opposition-based Simulated Kalman Filter (GOBSKF) is proposed as adaptive beamforming algorithm. …”
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16
Adaptive beamforming algorithm based on Simulated Kalman Filter
Published 2017“…A modified version of the SKF algorithm, named Opposition-Based SKF (OBSKF), introduced by K. …”
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17
Development of Simulated Annealing Based Scheduling Algorithm for Two Machines Flow Shop Problem
Published 2015“…Viewing as optimization problem and focusing on two machines, this research aims to develop a new Simulated Annealing based scheduling algorithm, called SA2M, for flow shop problem. …”
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18
Image Template Matching Based on Simulated Kalman Filter (SKF) Algorithm
Published 2018“…A novel approach to the image matching based on Simulated Kalman Filter (SKF) algorithm has been proposed in this paper. …”
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Opposition-based learning simulated kalman filter for Numerical optimization problems
Published 2016“…Simulated Kalman Filter (SKF) optimization algorithm is a population-based optimizer operated mainly based on Kalman filtering. …”
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20
An exponential based simulated kalman filter algorithm for data-driven PID tuning in liquid slosh controller
Published 2018“…This paper presents an Exponent-based Simulated Kalman Filter (EbSKF) algorithm. …”
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