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Energy management strategies, control systems, and artificial intelligence-based algorithms development for hydrogen fuel cell-powered vehicles: A review
Published 2025“…EMS strategies; AI-based algorithms categories, functions and hybridization; the state-of-art and future direction of AI-based algorithms and HFCEVs? …”
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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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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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Employing Artificial Intelligence to Minimize Internet Fraud
Published 2009“…This paper provides an overview of the use of current artificial intelligence (AI) techniques as a means of combating transaction fraud. …”
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Genetic Algorithm for Forecasting Bioinformatic Outcomes of Mutation-induced Cowpeas for Sustainable Development
Published 2023“…To demonstrate the practicality of using artificial intelligence (AI) to address these problems, the genetic algorithm is applied to genetic engineering (genetic mutation) of cowpea in a crop improvement program to generate useful bioinformatic information for further improvement of the crop. …”
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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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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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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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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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Stereo matching algorithm based on deep learning: a survey
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