Search Results - (( based optimization method algorithm ) OR ( model navigation using algorithm ))
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1
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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2
Optimization of chemotherapy using metaheuristic optimization algorithms / Prakas Gopal Samy
Published 2024“…Utilizing robust Runge-Kutta methods, the solver adeptly navigates the complexities of the ODE model, particularly useful when analytical solutions are challenging to obtain. …”
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3
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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4
Improvement of an integrated global positioning system and inertial navigation system for land navigation application
Published 2012“…The proposed hybrid method is simple, easy to implement and can be used to automate the INS-error estimation step used in the proposed integrated GPS/INS navigator. …”
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5
Genetic algorithm-based optimal overcurrent relays coordination for standalone sustainable hydrokinetic renewable energy distribution network
Published 2019“…SHRE-DN is an off grid system and use a hydrokinetic concept which turn the river stream into a power generation source. …”
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6
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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7
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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8
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 -
9
Design and modelling of an autonomous robotic airship with soft computing control
Published 2012“…Along with the prototype airship, a path planner was also proposed for the UAV for the purpose of obstacle avoidance and path optimization using genetic algorithm to minimize on the distance travelled and to generate the shortest path to cover the specified waypoints. …”
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10
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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11
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
Detection of Workers’ Behaviour in the Manufacturing Plant using Deep Learning
Published 2023“…The primary aim is to quantify human behavior based on learning rates, thereby facilitating improved production control. …”
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13
Modeling dynamic weight for 3D navigation routing
Published 2007“…The second part presents the 3D dynamic network model and elaborates on the possible solution using SSSP routing algorithm and its implementation. …”
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Conference or Workshop Item -
14
Modelling Autonomous Evacuation Navigation System (AENS) for optimal route using Dijkstra's algorithm
Published 2016“…Through ST adaptation, all subsystems were integrated and using the “Dijkstra’s algorithm” (DA) by modifying its function from shortest path algorithm to safest and shortest algorithm, to the nearest exit. …”
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15
Guidance, navigation and control for satellite proximity operations using Tschauner-Hempel equations
Published 2011“…These algorithms are used to approach, flyaround, and to depart form a target vehicle in elliptic orbits. …”
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Proceeding Paper -
16
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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17
Guidance, navigation and control for satellite proximity operations using Tschauner-Hempel equations
Published 2014“…These algorithms are used to approach, flyaround, and to depart form a target vehicle in elliptic orbits. …”
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Relative motion guidance, navigation and control for autonomous spacecraft rendezvous
Published 2011“…These algorithms are used to approach, flyaround, and to depart form a target vehicle in elliptic orbits. …”
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Proceeding Paper -
20
Sistem navigasi berasaskan algoritma Dijkstra di dalam persekitaran tiga dimensi
Published 2008“…Hereby, the Dijkstra’s algorithm is tested with the developed 3D navigation network inside the building model. …”
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