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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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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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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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AUTOMATED GUIDED ROBOT (AGR)
Published 2007“…This project concerns the design and fabrication of the Automated Guided Robot (AGR) prototype, utilizing artificial intelligence (AI) and genetic algorithm (GA) as a mainframe in helping the robot to generate a self-understanding of the area of work and mobilization to a destination desired by the user. …”
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The Implementation of Genetic Algorithm in Path Optimization
Published 2005“…In this project, TSP will be used to model and easy visualize the path optimization problem and Genetic Algorithm (GA) was chosen to be implemented in resolving the problem. …”
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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
Published 2025journal::journal article -
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Potential of Metal Artifact Reduction (MAR) and Deep Learning-based Reconstruction (DLR) algorithms integration in CT Metal Artifact Correction: a review
Published 2024“…Current DLR implementations like TrueFidelity and Advanced Intelligent Clear-IQ Engine (AiCE) demonstrate promising outcomes. …”
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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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AI-Based Drug Design: Revolutionizing Drug Discovery through in Silico Analysis
Published 2023“…The convergence of artificial intelligence (AI) and drug design has catalyzed a tectonic shift within the pharmaceutical arena, illuminating a new path towards rapid and efficient drug discovery. …”
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Evolution of AI enabled healthcare systems using textual data with a pretrained BERT deep learning model
Published 2025“…The overall goal is to uncover emerging trends and potential future paths of AI in healthcare by applying text mining to collect scientific papers and patent information. …”
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The Evolutionary Convergent Algorithm: A Guiding Path of Neural Network Advancement
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A Systematic Survey on the Research of AI-predictive Models for Wastewater Treatment Processes
Published 2023“…Conclusion: ANN with MLP approach on BP algorithm become a supervised neural network called BPNN is the most used AI modeling for WWTP and around 40% of the experimental research done with BPNN. …”
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Enhancing going concern prediction with Anchor explainable AI and attention-weighted XGBoost
Published 2024“…These advancements demonstrate the effectiveness of melding explainable AI with attention mechanisms to bolster the trustworthiness and clarity of financial forecasts, opening new research paths in financial analytics.…”
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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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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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