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caused algorithm » carlo algorithm (Expand Search), mould algorithm (Expand Search)
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Multilayer Reversible Data Hiding Based on the Difference Expansion Method Using Multilevel Thresholding of Host Images Based on the Slime Mould Algorithm
Published 2022“…Optimization algorithms are one of the most popular methods for solving NP-hard problems. …”
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Impact of Charging Electric Vehicles under Different State of Charge Levels and Extreme Conditions
Published 2021“…Different case scenarios are studied for validation purposes, such as charging PEVs under different state of charge levels, different energy demands at home, and different pricing mechanisms. …”
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Implementation and Comparison of Particle Swarm Optimization and Genetic Algorithm Techniques in Combined Economic Emission Dispatch of an Independent Power Plant
Published 2019“…Two contemporary metaheuristic techniques, particle swarm optimization (PSO) and genetic algorithm (GA), have were simultaneously implemented for combined economic emission dispatch (CEED) of an independent power plant (IPP) situated in Pakistan for different load demands. …”
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Wearable Real-Time Heart Attack Detection and Warning System to Reduce Road Accidents
Published 2019“…Linear classification and several machine algorithms were trained and tested for real-time application. …”
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A depth-controlled and energy-efficient routing protocol for underwater wireless sensor networks
Published 2022“…An imbalance in power consumption can cause poor performance and a limited network lifetime. …”
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Thermal convection of fluid in fractured media
Published 1995“…Including this phenomenon in a modelling process led us to propose a development of the UDEC code. The computational algorithm is based on the differences between the rates of convective and conductive heat transfers. …”
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Optimization of PV Cleaning Practices: Comparison Between Performance-Based and Periodic-Based Approaches
Published 2020“…The algorithm’s input included electricity production, soiling rates (SRs), electricity price, and cleaning costs. …”
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Deep learning-based user experience evaluation in distance learning
Published 2023“…<div><p>The Covid-19 pandemic caused uncertainties in many different organizations, institutions gained experience in remote working and showed that high-quality distance education is a crucial component in higher education. …”
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Inferential sensing techniques in industrial applications
Published 0007“…Climate change caused by pollution is considered as one of threats facing humankind. …”
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Mobile clinics routing in response to covid-19 outbreak: an intelligent hyperheuristic approach
Published 2022“…This paper implements and tests an intelligent variable neighbourhood search algorithm for MCRP.…”
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AI-based remaining useful life prediction and modelling of seawater desalination membranes
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Benchmarking Concept Drift Detectors for Online Machine Learning
Published 2022“…The main task is to detect changes in data distribution that might cause changes in the decision bound aries for a classification algorithm. …”
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Extremity Ischemia After Jellyfish Envenomation: A Case Report and Systematic Review of the Literature
Published 2022“…BackgroundExtremity ischemia and necrosis after jellyfish envenomation can be mutilating and cause long-term functional deficits. The best way to manage these presentations is unknown. …”
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Extremity Ischemia After Jellyfish Envenomation: A Case Report and Systematic Review of the Literature
Published 2022“…<h3>Background</h3><p dir="ltr">Extremity ischemia and necrosis after jellyfish envenomation can be mutilating and cause long-term functional deficits. The best way to manage these presentations is unknown.…”
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An Incentivized and Optimized Dynamic Mechanism for Demand Response for Managing Voltage in Distribution Networks
Published 2022“…An improved hybrid particle swarm optimization algorithm (IHPSO) is proposed for the load controller to provide fast convergence and robust optimization results. …”
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An Intelligent and Low-Cost Eye-Tracking System for Motorized Wheelchair Control
Published 2020“…The first three techniques were automatic, employ correlation, and were variants of template matching, whereas the last one uses convolutional neural networks (CNNs). Different metrics to quantitatively evaluate the performance of each algorithm in terms of accuracy and latency were computed and overall comparison is presented. …”
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Capillary trapping in mixed-wet porous media: Implications for subsurface carbon dioxide sequestration
Published 2025“…Flooding by low viscosity fluid caused fingering. Though the fingering patterns vary for different wettability distributions, the sample-scale morphological metrics for all cases are closely comparable. …”
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An Efficient Prediction System for Diabetes Disease Based on Deep Neural Network
Published 2021“…<p dir="ltr">One of the main reasons for disability and premature mortality in the world is diabetes disease, which can cause different sorts of damage to organs such as kidneys, eyes, and heart arteries. …”
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Application of Data Mining to Predict and Diagnose Diabetic Retinopathy
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doctoralThesis