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method algorithm » mould algorithm (Expand Search)
using algorithm » cosine algorithm (Expand Search)
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181
Towards secure private and trustworthy human-centric embedded machine learning: An emotion-aware facial recognition case study
Published 2023“…Secondly, to illustrate the gravity of these issues, we present a case study on the task of human facial emotion recognition (FER) based on AffectNet dataset, where we analyze the effects of widely used input quantization on the security, robustness, fairness, and trustworthiness of an EML model. …”
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A METHODOLOGY FOR NETWORK TOPOLOGY DESIGN USING FUZZY EVALUATIONS
Published 2020“…Test cases are used to evaluate the effectiveness of the methodology. …”
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186
Successful use of MiniMed 780G during pregnancy
Published 2023“…As hybrid closed-loop (HCL) systems are increasingly used among women with T1D, many prefer to continue off-label use of these systems during pregnancy. …”
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Stability improvement of the PSS-connected power system network with ensemble machine learning tool
Published 2022“…The ensemble method combines multiple machine learning techniques and has been used for tuning the PSS parameters in real-time for two PSS-connected power system networks. …”
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188
An efficient method for the open-shop scheduling problem using simulated annealing
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conferenceObject -
189
Correlation Clustering with Overlaps
Published 2020“…In other words, data elements (or vertices) will be allowed to be members in more than one cluster instead of limiting them to only one single cluster, as in classical clustering methods. …”
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masterThesis -
190
Localization of Damages in Plain And Riveted Aluminium Specimens using Lamb Waves
Published 2018“…The genetic optimization (GO) method is used to further refine the location of damage within the enclosed area obtained using astroid algorithm. …”
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191
A combined resource allocation framework for PEVs charging stations, renewable energy resources and distributed energy storage systems
Published 2017“…A sample case study is presented to illustrate the performance of the algorithm.…”
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192
Optimum Track to Track Fusion Using CMA-ES and LSTM Techniques
Published 2024“…An objective function utilizing the covariance of the fused tracks is used by the first algorithm while a cost function based on the Kullback-Leibler (KL) divergence measure is used in the second case for training the LSTM. …”
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193
Detecting Arabic Cyberbullying Tweets in Arabic Social Using Deep Learning
Published 2023“…Techniques for natural language processing may be used to text data to extract useful features like sentiment, emotion, and subjectivity. …”
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Design Optimization of Inductive Power Transfer Systems Considering Bifurcation and Equivalent AC Resistance for Spiral Coils
Published 2020“…Equivalent AC resistance of spiral coils is modeled based on eddy currents simulations using Finite Element Method (FEM) and Maxwell simulator. Based on the FEM simulations, a new approximation method using separation of variables is proposed as a function of spiral coil's main parameters. …”
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Pre-production movie rating prediction using machine learning. (c2017)
Published 2017“…In this work, we present several machine learning techniques (Support Vectors Machine, K-Nearest Neighbors, C5, Neural Networks and Case-Based Reasoning) along with a genetic algorithm to predict the success of a movie before its production using the IMDB rating as an indicator of the success. …”
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Developing a UAE-Based Disputes Prediction Model using Machine Learning
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doctoralThesis -
198
Modeling and Identification of Nonlinear DC Motor Drive Systems Using Recurrent Wavelet Networks
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doctoralThesis -
199
Optimization of Commercially Off the Shelf (COTS) Electric Propulsion System for Low Speed Fuel Cell UAV
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Using artificial bee colony to optimize software quality estimation models. (c2015)
Published 2016“…We compare our models to others constructed using other well established techniques such as C4.5, Genetic Algorithms, Simulated Annealing, Tabu Search, multi-layer perceptron with back-propagation, multi-layer perceptron hybridized with ABC and the majority classifier. …”
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masterThesis