Search Results - (( model navigation based algorithm ) OR ( based optimization method algorithm ))
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A data driven approach to wind plant control using moth-flame optimization (MFO) algorithm
Published 2019“…The MFO is a population based optimization method that mimics the behavior of moths that navigate on specific angle with respect to the moon location. …”
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Hybridization of nonlinear sine cosine and safe experimentation dynamics algorithms for solving control engineering optimization problems
Published 2024“…The empirical assessment of these proposed methods encompasses a diverse set of 23 benchmark functions, demonstrating their efficacy comparable to well-established metaheuristic algorithms such as as the Grey Wolf Optimizer (GWO), Multi-Verse Optimization (MVO), Sine Cosine Algorithm (SCA), Ant Lion Optimizer (ALO), Moth-Flame Optimization Algorithm (MFO), and Grasshopper Optimization Algorithm (GOA). …”
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Modelling of multi-robot system for search and rescue
Published 2023“…In this project, this sensor-based algorithm is known as the Obstacle Avoidance Algorithm. …”
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Final Year Project / Dissertation / Thesis -
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Energy-efficient power allocation for downlink non orthogonal multiple access networks based on game theory and genetic algorithm / Reem Mustafa Mah’d Al Debes
Published 2025“…The research leverages Artificial Intelligence (AI)-based Genetic Algorithms (GA) and game theory to address critical challenges in resource allocation. …”
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Optimization of chemotherapy using metaheuristic optimization algorithms / Prakas Gopal Samy
Published 2024“…The HM emerges as a dominant strategy, driven by the Multi-Objective Differential Evolution (MODE) algorithm under literature-based control parameter settings for the mathematical model. …”
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Improvement of an integrated global positioning system and inertial navigation system for land navigation application
Published 2012“…In addition, in this work a GPS predictor is developed to incorporate information from the accelerometers and gyroscopes at high rates and information from GPS measurements at low rates to improve the vehicle strapdown inertial navigation system (SDINS) with the aid of GPS. This work also presents a new method for de-noising the GPS and INS data and estimate the INS error using wavelet multi-resolution analysis algorithm (WMRA) based particle swarm optimization (PSO) with a well designed structure appropriate for practical and real time implementations due to its very short optimizing time and elevated accuracy. …”
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Path planning methods for autonomous vehicles at intersections: A review
Published 2026“…This review paper presents a comprehensive analysis of major path-planning methods used in Autonomous Vehicle (AV) navigation at intersections, including graph-based, sampling-based, curve-based, optimization-based, and machine learning–based approaches, while also examining emerging AI-driven path planners to better understand their capabilities. …”
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Clustering Based on Customers’ Behaviour in Accepting Personal Loan using Unsupervised Machine Learning
Published 2023“…Focusing on clustering algorithms, the study employs popular methods like K-Means Clustering, Density-Based Spatial Clustering of Applications with Noise (DBSCAN), Agglomerative Hierarchical Clustering, and Mean Shift Clustering to understand customer characteristics and behaviors. …”
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Deep Reinforcement Learning For Control
Published 2021“…In essence, the method is to use a reward-based learning environment to watch how the agent makes decisions. …”
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Monograph -
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Hybrid indoor positioning utilizing multipath- assisted fingerprint and geometric estimation for single base station systems
Published 2025“…The proposed method leverages room geometry and takes advantage of the multipath signal propagation to construct multiple virtual base station system model. …”
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12
Design and modelling of an autonomous robotic airship with soft computing control
Published 2012“…UAVs control system remains dominated by model based control system that can be unreliable in the absence of highly precise instruments and non linearities. …”
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A Compromise Programming to Task Assignment Problem in Software Development Project
Published 2021“…The proposed method allows the incorporation of the model as a navigator for search agents in the optimal solution search process by transferring the objective function to the agents' fitness function. …”
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Detection of Workers’ Behaviour in the Manufacturing Plant using Deep Learning
Published 2023“…It departs from conventional approaches by employing gait recognition techniques, which effectively match input sequences with predefined models. This method adeptly navigates the hurdles of data scarcity, diverse human behaviors, and visual variations typical in manufacturing environments. …”
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Guidance, navigation and control for satellite proximity operations using Tschauner-Hempel equations
Published 2011“…These algorithms are based on using the analytical closed-form solution of the Tschauner-Hempel equations that is completely explicit in time. …”
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Proceeding Paper -
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Expectation maximization clustering algorithm for user modeling in web usage mining system
Published 2009“…Web usage mining algorithms have been widely utilized for modeling user web navigation behavior. …”
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Guidance, navigation and control for satellite proximity operations using Tschauner-Hempel equations
Published 2014“…These algorithms are based on using the analytical closed-form solution of the Tschauner-Hempel equations that is completely explicit in time. …”
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Relative motion guidance, navigation and control for autonomous spacecraft rendezvous
Published 2011“…In this paper, the development of guidance, navigation, and control algorithms of an autonomous space rendezvous and docking system are presented. …”
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Proceeding Paper -
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A recommender system approach for classifying user navigation patterns using longest common subsequence algorithm.
Published 2009“…The approach is based on the using longest common subsequence algorithm to classify current user activities to predict user next movement. …”
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