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Neutralisation state driven single-agent search strategy for solving constraint satisfaction problem / Saajid Akram Ahmed Abuluaih
Published 2019“…Since Constraint Satisfaction Problem (CSP) is an NP-complete problem, brute-force search algorithms such as Backtracking algorithm (BT) are required as the guarantee to find a solution, when there is one. …”
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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. …”
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Prediction of Optimum Cutting Conditions in Dry Turning Operations of S45C Mild Steel using AIS and PSO Intelligent Algorithm
Published 2014“…Experimental results showed that the average accuracy of the AIS algorithm is 94.37 %, whereas that of the PSO algorithm is 92.84 % which indicated that the two percentages are convergent.…”
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Al-Istikhlāf framework in the age of artificial intelligence: reclaiming the human identity and responsibility in the digital era
Published 2025“…Artificial intelligence (AI) has emerged as one of the most disruptive forces of the twenty-first century, reshaping cultures, economies, social relations, and even the definition of human intelligence, creativity, and knowledge. …”
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Artificial Intelligence Integration in Mobile Applications: Innovation and Challenges in Supporting Quran Memorization and Review
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A novel Bezier curve control point search algorithm for autonomous navigation using N-order polynomial search with boundary conditions
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Intelligent guidance parking system using modified Dijkstra's algorithm
Published 2014“…This paper presents the intelligent parking system which apply Dijkstra’s algorithm in finding the shortest path. …”
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Design of Modeling Elements of Luoshan Shadow Puppets Creative Goods Based on Deep Learning
Published 2023“…The results show that the F1 value of the algorithm is about 94%, and the efficiency of the algorithm is high. …”
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Digital Transformation Using Industry 4.0 and Artificial Intelligence
Published 2025“…Explainable artificial intelligence (XAI) conducts studies and creates tools, techniques, and algorithm designs that produce information and judgments made by AI-based systems that are comprehensible to humans. …”
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A review of classification techniques for electromyography signals
Published 2023“…Machine Learning (ML) is an area of Artificial Intelligent (AI) with a concept that a computer program can learn and familiarize to new data without human intervention. …”
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Improvement Performance Characteristics of CNC Turning Operation by Exploit Immune System's Properties
Published 2013“…This paper presents the application of artificial immune system (AIS) intelligent algorithm for multiple output optimization of two passes dry CNC turning operation. …”
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Intelligent motion planning of a mobile robot by using convolutional neural network / Siti Asmah Abdullah
Published 2019“…Optimizing the cost in every aspect is important in the implementation of artificial intelligence (A.I.) without affecting the accuracy of the output. …”
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Optimization And Execution Of Multiple Holes-Drilling Operations Based On STEP-NC
Published 2021“…Optimization of tool path operation can lead to a significant reduction in non-productive machining time. …”
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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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AI technology factors mediated via intention to use in UAE petroleum companies case study
Published 2024“…Artificial Intelligence (AI) represents a transformative force globally, with its computational prowess, data accessibility, and revolutionary algorithms. …”
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Distributed planning and control of multirobot formations with navigation and obstacle avoidance
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Ant-based vehicle congestion avoidance framework using vehicular networks / Mohammad Reza Jabbarpour Sattari
Published 2015“…Previous researches concentrated on using static algorithms to find the shortest path in VTRSs. However, providing a shortest path without considering other factors such as congestion, accidents, obstacles, travel time and speed is not a proper solution for vehicle traffic congestion problem. …”
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Routing based multi-agent system for network reliability in the smart microgrid
Published 2020“…In this paper, the focus is to enhance the intelligence of microgrid networks using a multi-agent system while validation is carried out using network performance metrics i.e., delay, throughput, jitter, and queuing. …”
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