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1
Genetic Algorithm Performance with Different Selection Strategies in Solving TSP
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2
Design and Implementation of Intelligent Interoperability Framework for Heterogeneous Subsystems in Smart Home Environment
Published 2011“…Based on the response time result without load, it is evident that the average time utilization for single operation of subsystem is 25.87ms, validates the smart home requirement. …”
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3
User song preferences using preference learning in artificial intelligence
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Modeling approach of cloud 4D printing service composition optimization based on non-dominated sorting genetic algorithm III
Published 2024“…This research provides valuable insights for the advancement of intelligent cloud-based 4D printing systems, paving the way for future developments in this field.…”
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5
Hidden markov model for decision making among heterogeneous systems in intelligent building
Published 2014“…In order to improve the response time a machine learning algorithm like Hidden Markov Model (HMM) instead of the rule-based is used. …”
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6
Mobile First-Person Shooter (FPS) Game Using Basic Theta* Algorithm / Muhammad Syurahbil Abd Rohaman
Published 2020“…On a smaller game map, the algorithm still takes an acceptable computing time but on a larger size map, the computation time suffers a lot. …”
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7
Optimize and deploy machine learning algorithms on embedded devices for manufacturing applications
Published 2025“…On the other hand, artificial intelligence had been ways to enhances embedded system by enabling real-time, accurate detection and management of PCB defects through advanced pattern recognition and automated inspection methods. …”
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8
African Buffalo Optimization Algorithm Based T-Way Test Suite Generation Strategy for Electronic-Payment Transactions
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9
A novel map-matching algorithm to improve vehicle tracking system accuracy
Published 2007“…The better curve-to-curve matching algorithms considers the road connectivity and measure the similarity between track and the possible road path (hypotheses), but mostly does not have any way to manage multiple track hypotheses which have varying degree of similarity over time. …”
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EasyA: Easy and effective way to generate pairwise test data
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12
A Mobile App to Predict Disease Based on Symptoms Using Artificial Intelligence
Published 2023“…A different suitable machine learning algorithm will be used in the prediction system to predict the disease based on the symptoms of patients. …”
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13
Efficient and scalable ant colony optimization based WSN routing protocol for IoT
Published 2020“…For this reason, many intelligent systems have been utilized to design routing algorithms to handle the network's dynamic state. …”
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Embedded Artificial Intelligent (AI) To Navigate Cart Follower
Published 2018“…One of the solution for the problem is to create an Artificial Intelligent (AI) cart follower. Therefore, this research is to create an AI system for the AI cart follower with a visual based sensor. …”
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15
Inverse kinematic solution in handling 3R manipulator via real-time genetic algorithm
Published 2023“…This research is to develop an AI 3 revolute (3R) planar manipulator system that would contribute to a productive and a quality way of material handling and processing. The system would adopt the advantage of Genetic Algorithm to optimize its performance in terms of motion control and accuracy. …”
Conference paper -
16
Simulated real-time controller for tuning algorithm using modified hill climbing approach
Published 2014“…Often, it is necessary to calibrate a certain parameters of a control system due to plant parameters fluctuation over time.In this research, an intelligent algorithmic tuning technique suitable for realtime system tuning based on hill climbing optimization algorithm and model reference adaptive control system (MRAC) technique is proposed. …”
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Artificial intelligence technique in solving nano-process parameter optimization problem / Norlina Mohd Sabri...[et al.]
Published 2017“…The techniques are Genetic Algorithm (GA), Particle Swarm Optimization (PSO) and Gravitational Search Algorithm (GSA). …”
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A genetic algorithm for capital budgeting problem with fuzzy parameters
Published 2010“…Considering the complexity theory, a good answer could not be found in reasonable time, so that an intelligent Genetic Algorithm (GA) as a metaheuristic approach is provided to trace this problem with satisfying solutions. …”
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A Focal load balancer based algorithm for task assignment in cloud environment
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