Search Results - (( using function ((sensor algorithm) OR (path algorithm)) ) OR ( using factor problem algorithm ))
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1
Modelling of multi-robot system for search and rescue
Published 2023“…Moreover, to cope with dynamic environments, a combination of global and local path planning methods is introduced. The PSO algorithm functions as a global path planner, determining the complete path for each robot, whereas a sensor-based obstacle avoidance algorithm serves as a local planner to avoid collision with dynamic obstacles during navigation. …”
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Final Year Project / Dissertation / Thesis -
2
Nonlinear adaptive algorithm for active noise control with loudspeaker nonlinearity
Published 2014“…The proposed THF-NLFXLMS algorithm models the Wiener secondary path and applies the estimated degree of nonlinearity of the nonlinear secondary path in the control algorithm design. …”
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Thesis -
3
Development of robust control scheme for wheeled mobile robot in restricted environment
Published 2021“…A novel algorithm so called laser simulator logic (LSL) has been develo ped to estimate the inertia moment when the environment is noisy and cannot use fuzzy logic algorithm. …”
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4
The Multi-Objective Optimization Algorithm Based on Sperm Fertilization Procedure (MOSFP) Method for Solving Wireless Sensor Networks Optimization Problems in Smart Grid Applicatio...
Published 2018“…Different packet payload sizes are supplied to the algorithms and their optimal value is derived. From the experiments, the knee point and the intersection point of all the obtained Pareto fronts for all the algorithms show that the optimal packet payload size that manages the trade-offs between the four objective functions is equal to 45 bytes. …”
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Article -
5
A novel swarm-based optimisation algorithm inspired by artificial neural glial network for autonomous robots
Published 2019“…The ideas of PSO emerged from the swarming behaviours observed in flocks of birds, swarms of bees and school of fish.The individuals in PSO communicate either directly or indirectly with one another. As an algorithm, PSO can be applied to solve various function optimisation problems, as the main strength of the algorithm is its fast convergence [14]. …”
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Monograph -
6
Nonlinear THF-FXLMS algorithm for active noise control with loudspeaker nonlinearity
Published 2016“…The proposed THF-NLFXLMS algorithm, models the nonlinear secondary path and applies the estimated degree of nonlinearity in the control algorithm design. …”
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7
Maze solving balbot
Published 2010“…The GP2D120 IR distance sensor is used to achieve the balancing mode while the GP2D12 IR sensor is applied as the input for microcontroller in the determination of the path control algorithm. …”
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Undergraduates Project Papers -
8
MOBILE ROBOT
Published 2004“…The main goal of this mobile robot is to avoid collisions with obstacles or walls and plan its paths around them for subsequent runs. A transmitter-receiver pair is used for the ultrasonic sensor circuitry. …”
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Final Year Project -
9
Energy balancing mechanisms for decentralized routing protocols in wireless sensor networks
Published 2012“…This thesis presents three decentralized algorithms that are robust,scalable, and can be successfully executed in sensor networks. …”
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Thesis -
10
Efficient terrain coverage for deploying wireless sensor nodes on multi-robot system
Published 2016“…Employing multi-robot system and path planning with spanning tree algorithm is a strategy for speeding up sensor nodes deployment. …”
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Article -
11
Metaheuristic optimization techniques for localization in outdoor wireless sensor networks: a comprehensive review
Published 2025“…This paper serves as a comprehensive background on localization algorithms and methods used in wireless sensor networks, offering insights for researchers to develop efficient localization algorithms tailored to specific application requirements in diverse work environments.…”
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12
Single-objective and multi-objective optimization algorithms based on sperm fertilization procedure / Hisham Ahmad Theeb Shehadeh
Published 2018“…The SSO is tested with several benchmark functions used in the area of optimization. The obtained results are compared with the results of four algorithms. …”
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Thesis -
13
Improving Network Consistency and Data Availability Using Fuzzy C Mean Clustering Algorithm in Wireless Sensor Networks
Published 2024thesis::doctoral thesis -
14
A Survey Of Supervised Machine Learning In Wireless Sensor Network: A Power Management Perspective
Published 2013“…This survey paper is focused on the discussion of best optimal path routing algorithms in wireless sensor networks by using supervised machine learning approaches. …”
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Conference or Workshop Item -
15
Artificial neural controller synthesis for TORCS
Published 2015“…As a conclusion, this research has shown that the DE hybrid FFNN algorithm and PDE hybrid FFNN algorithm are useful and promising in evolving autonomous car racing controller.…”
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Thesis -
16
Non-weighted aggregate evaluation function of multi-objective optimization for knock engine modeling
Published 2017“…It also aims to optimize the nonlinear nature of the factors by using Genetic Algorithm (GA) as well as investigate the behavior of such function. …”
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Thesis -
17
Development of obstable avoidance system for 3D robot navigation
Published 2024“…Additionally, the planner and controller modules from Nav2 were employed for path planning and obstacle avoidance. Once the algorithm was fully tested and proven functional in simulation, it would be implemented on the physical robot. …”
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Final Year Project / Dissertation / Thesis -
18
Development of a motion planning and obstacle avoidance algorithm using adaptive neuro fuzzy inference system for mobile robot navigation
Published 2017“…Especially their velocities, uncertainty, cost function to be improved, and the robot’s dynamic and kinematic model, This research focuses on the existing drawbacks and inefficiencies of the available path planning approaches within unknown dynamic environments. …”
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Thesis -
19
An Intelligent System Approach to the Dynamic Hybrid Robot Control
Published 1996“…Secondly, for the intelligent trajectory generation approach, the segmented tree neural networks for each link (inverse kinematics solution) and the randomness with fuzziness (coping the unstructured environment from the cost function) were used. A one-pass smoothing algorithm was used to generate a practical smooth trajectory path in near real time. …”
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Thesis -
20
A-star (A*) algorithm implementation for robotics path planning navigation
Published 2018“…This thesis is about the implementation of Astar (A*) algorithm as path planning algorithm used in robotics navigation. …”
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Undergraduates Project Papers
