Search Results - (evolutionary OR evolution) ((computing techniques) OR (learning techniques))
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Using the evolutionary mating algorithm for optimizing deep learning parameters for battery state of charge estimation of electric vehicle
Published 2023“…This paper presents the application of a recent metaheuristic algorithm namely Evolutionary Mating Algorithm (EMA) for optimizing the Deep Learning (DL) parameters to estimate the state of charge (SOC) of a battery for an electric vehicle in the real environment. …”
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Artificial neural network learning enhancement using Artificial Fish Swarm Algorithm
Published 2011“…Artificial Neural Network (ANN) is a new information processing system with large quantity of highly interconnected neurons or elements processing parallel to solve problems.Recently, evolutionary computation technique, Artificial Fish Swarm Algorithm (AFSA) is chosen to optimize global searching of ANN.In optimization process, each Artificial Fish (AF) represents a neural network with output of fitness value.The AFSA is used in this study to analyze its effectiveness in enhancing Multilayer Perceptron (MLP) learning compared to Particle Swarm Optimization (PSO) and Differential Evolution (DE) for classification problems.The comparative results indeed demonstrate that AFSA show its efficient, effective and stability in MLP learning.…”
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Implementation of embedded generation in distribution system using Evolutionary Programming (EP)
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Learning Object -
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Application of optimal reactive power dispatch using evolutionary computation for IEEE 30-bus test system
Published 2009“…Understand the power flow using Newton- Raphson method and studies the evolutionary programming (EP) technique.…”
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Learning Object -
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Hybrid evolutionary programming-artificial neural network-based lightning prediction system / Dalina Johari
Published 2009“…It involved the development of ANN design and embedding EP optimization technique for optimizing selected ANN parameters in order to improve the system's generalization capability.ANN, an intelligent machine learning technique, is inspired by the way our biological nervous systems process information. …”
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Thesis -
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An efficient anomaly intrusion detection method with evolutionary neural network
Published 2020“…In recent years, detection methods based on machine learning techniques are widely deployed in order to improve the efficiency of anomaly-based detection. …”
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Thesis -
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A review on object detection algorithms based deep learning methods / Wan Xing ... [et al.]
Published 2023“…One of the most dynamic areas in AI research is object detection, a field that continues to evolve due to advancements in chip computing power and deep learning techniques. The central goal of object detection is to identify objects and determine their precise locations by leveraging image processing technology. …”
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Modeling 2D appearance evolution for 3D object categorization
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Proceeding Paper -
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Improved whale optimization algorithm for feature selection in Arabic sentiment analysis
Published 2019“…The first improvement includes using Elite Opposition-Based Learning (EOBL) at initialization phase of WOA. The second improvement involves the incorporation of evolutionary operators from Differential Evolution algorithm at the end of each WOA iteration including mutation, crossover, and selection operators. …”
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Design of digital circuit structure based on evolutionary algorithm method
Published 2008“…Evolutionary Algorithms (EAs) cover all the applications involving the use of Evolutionary Computation in electronic system design. …”
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Comparing machine learning techniques to segmentize and classify tongue regions for traditional and complementary medicine (TCM) diagnosis
Published 2025“…This project investigates the application of machine learning and deep learning techniques for automated tongue diagnosis in the context of Traditional Chinese Medicine (TCM). …”
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Final Year Project / Dissertation / Thesis -
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Application of computational intelligence methods in modelling river flow prediction: A review
Published 2023“…Artificial intelligence; Arts computing; Decision making; Evolutionary algorithms; Forecasting; Fuzzy neural networks; Intelligent computing; Neural networks; Rain; Rivers; Stream flow; Support vector machines; Computational intelligence methods; Computational intelligence techniques; Computational results; Hydrological cycles; Neural networks , fuzzy logic; Prediction accuracy; River flow models; River flow prediction; Fuzzy logic…”
Conference Paper -
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Critical review of object detection techniques for traffic light detection in intelligent transportation systems
Published 2025“…This study provides a critical review of object detection techniques specifically for traffic light detection, evaluating the evolution of machine learning frameworks, deep learning architectures, and hybrid optimization models. …”
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Computational intelligence based approach for enhanced distance relay design
Published 2024text::Final Year Project -
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A coevolutionary multiobjective evolutionary algorithm for game artificial intelligence
Published 2013“…Recently, the growth of Artificial Intelligence (AI) has provided a set of effective techniques for designing computer-based controllers to perform various tasks autonomously in game area, specifically to produce intelligent optimal game controllers for playing video and computer games. …”
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Two level Differential Evolution algorithms for ARMA parameters estimatio
Published 2013“…The problem of determining simultaneously the model order and coefficient of an Autoregressive Moving Average (ARMA) model is examined in this paper. An Evolutionary Algorithm (EA) comprising two-level Differential Evolution (DE) optimization scheme is proposed. …”
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Proceeding Paper -
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Assistive Technology For Disabilities: A Case Study Of Autism In Teaching And Learning Outcomes
Published 2016“…A number of studies have highlighted new teaching techniques. There has been a trend in moving towards e-learning technologies in (Agarwal, 2012) and (Kemp, 2015), where those strategies were part of pedagogy techniques in teaching children with special needs. …”
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