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1
Optimisation of Environmental Risk Assessment Architecture using Artificial Intelligence Techniques
Published 2024“…By contrast, the results of the safe path selection model were compared with the results obtained using Dijkstra's algorithm and the Floyd-Warshall algorithm. …”
thesis::doctoral thesis -
2
Industry 5.0 and Education 5.0: Transforming Vocational Education through Intelligent Technology
Published 2024“…By analyzing the research gaps in personalized learning paths, emotion-driven learning, crossdisciplinary integration, and long-term learning behavior analysis, the paper proposes four improved algorithms: the adaptive learning path generation algorithm, the emotion-driven personalized learning algorithm, the cross-disciplinary knowledge graph algorithm, and the long-term learning behavior prediction algorithm. …”
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3
A Novel Path Prediction Strategy for Tracking Intelligent Travelers
Published 2009“…Disconnection of the mobile terminal (MT) from the access points (AP) in WLAN-based systems is the example case of the problem. While enhancement of the physical system itself can reduce the risk of disconnections, complementary algorithms provide even more robustness in localization and tracking of the traveler. …”
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4
Mobile First-Person Shooter (FPS) Game Using Basic Theta* Algorithm / Muhammad Syurahbil Abd Rohaman
Published 2020“…Even though A* is the most popular algorithm amongst game developers, it's hardly the best algorithm in finding the true shortest path. …”
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5
An Intelligent System Approach to the Dynamic Hybrid Robot Control
Published 1996“…This was because a robot can be seen as a physical intelligent system which interacts with the real world environment by means of its sensors and actuators. …”
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6
Implementation of Autonomous Vehicle Navigation Algorithms Using Event-Driven Programming
Published 2012“…Autonomous navigation is an important feature in robotics as it provides mobile robot with the ability to traverse from one point to another point while avoiding any obstacles that lie within its path. One of the challenges is to reduce the complexity of the development of programs that can provide the pertaining artificial intelligence. …”
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Improved Dynamic Ant Colony System (DACS) on Symmetric Traveling Salesman Problem (TSP).
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8
A Novel Map-matching Algorithm to Improve Vehicle Tracking System Accuracy
Published 2008“…The curve-to-curve matching algorithms measure the similarity between the track and possible road path. …”
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9
A novel swarm-based optimisation algorithm inspired by artificial neural glial network for autonomous robots
Published 2019“…According to [13], the two best-known swarm intelligence algorithms are Particle Swarm Optimisation (PSO) and Ant Colony Optimisation (ACO). …”
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Monograph -
10
A novel map-matching algorithm to improve vehicle tracking system accuracy
Published 2007“…Map-matching algorithms attempt to pinpoint the vehicle in a particular road map segment (or any restricting track such as rails, etc), in spite of the digital map errors and navigation system inaccuracies. …”
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11
A comprehensive overview of classical and modern route planning algorithms for self-driving mobile robots
Published 2022“…This evaluation focuses mostly on the accuracy of the different path-planning algorithms. Common collision-free path planning methodologies are examined in this paper, including classical or traditional and modern intelligence techniques, as well as both global and local approaches, in static and dynamic environments. …”
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12
Implementation of autonomous vehicle navigation algorithms using event-driven programming
Published 2012“…Autonomous navigation is an important feature in robotics as it provides mobile robot with the ability to traverse from one point to another point while avoiding any obstacles that lie within its path. One of the challenges is to reduce the complexity of the development of programs that can provide the pertaining artificial intelligence. …”
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13
A hybrid sampling-based path planning algorithm for mobile robot navigation in unknown environments
Published 2013“…The motion planning problem poses the question of how a robot can move from an initial to a final position. Sampling-based motion planning is a class of randomized path planning algorithms with proven completeness. …”
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Thesis -
14
Synchronization algorithm for remote heterogeneous database environment
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15
A novel Bezier curve control point search algorithm for autonomous navigation using N-order polynomial search with boundary conditions
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Conference or Workshop Item -
16
A review on autonomous mobile robot path planning algorithms
Published 2020“…This yield to a lot of improvement and suggestions in many areas related to mobile robot such as path planning. The purpose of this paper is to review the mobile robots path planning problem, optimization criteria and various methodologies reported in the literature for global and local mobile robot path planning. …”
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Article -
17
NSGA-III algorithm for optimizing robot collaborative task allocation in the internet of things environment
Published 2024“…By comparing the total distance and maximum deviation of multiple robot systems, it is proven that this algorithm can effectively balance the path length of each robot in task allocation. …”
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Intelligent auto tracking in 3D space by image processing
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Proceeding Paper -
19
Design of an intelligent robotic donationbox a case study
Published 2011“…The design and development of an Intelligent Robotic Donation Box (IRDB) system as a typical final year project in Mechatronics engineering is presented in this paper. …”
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Proceeding Paper -
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Minimization of tool path length of drilling process using particle swarm optimization (PSO)
Published 2020“…In various publications and articles, scientists and researchers adapted several methods of artificial intelligence (AI) or hybrid optimization method for tool path artificial immune system (AIS), genetic algorithms (GA), Artificial Neural networks (ANN) Ant Colony Optimization (ACO) and Particle Swarm Optimization (PSO) (Narooei and Ramli, 2014). …”
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