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The exploration of hybrid metaheuristics-based approaches: A bibliometric analysis
Published 2025“…The rapid evolution of computational intelligence has driven significant interest in hybrid metaheuristics, which combine multiple optimization algorithms to solve complicated problems more efficiently. …”
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The automatic focus segmentation of multi-focus image fusion
Published 2022“…The proposed method is multi-focus image fusion based on an automatic encoder-decoder algorithm. …”
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Semantic focus fusion based on deep learning for deblurring effect
Published 2024“…In a rapid development of intelligent computation, such as deep learning algorithm, multi-focus image fusion methods indirectly being involved, such as CNN and PCA Net architectures. …”
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Cubes of finite vertices fuzzy topographic topological mapping and k-Fibonacci sequence
Published 2024journal::journal article -
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Global spatial suitability mapping of wind and solar systems using an explainable aI-based approach
Published 2022“…This study presents a global wind and solar mapping approach based on eXplainable Artificial Intelligence (XAI). …”
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Real-time vehicle counting using custom YOLOv8n and DeepSORT for resource-limited edge devices
Published 2024“…Recently, there has been a significant increase in the use of deep learning and low-computing edge devices for analysis of video-based systems, particularly in the field of intelligent transportation systems (ITS). …”
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Dental Age Estimation Using a Convolutional Neural Network Algorithm on Panoramic Radiographs: A Pilot Study in Indonesia
Published 2025journal::journal article -
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A systematic literature review on the impact of data mining on workforce privacy and employment practices: ethical concerns and risks
Published 2025“…A Python script was used to assist in selecting relevant articles based on selected keywords. VOSviewer was utilized as a bibliometric mapping tool to provide a preliminary understanding of the retrieved scholarly articles. …”
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Disease detection of solanaceous crops using deep learning for robot vision
Published 2022“…Other research works are focusing on improving the mean average precision and the best result reported so far is 93% of mean Average Precision (mAP) by YOLOv5. This paper focuses on object detection of the Convolutional Neural Network (CNN) architecture-based to detect the disease of solanaceous crops for robot vision. …”
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Development of floor mapping mobile robot algorithm using enhanced Artificial Neuro-Based SLAM (ANBS)
Published 2020“…The paper will highlight implementing a Rplidar sensor with a floor mapping mobile robot platform with the enhanced error corrections based on the Artificial Neuro-Based SLAM (ANBS) algorithm. …”
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A Novel Map-matching Algorithm to Improve Vehicle Tracking System Accuracy
Published 2008“…Satellite-based Vehicle Tracking System accuracy can be improved by augmenting the positional information using road network data, in a process known as map-matching. …”
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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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Mobile First-Person Shooter (FPS) Game Using Basic Theta* Algorithm / Muhammad Syurahbil Abd Rohaman
Published 2020“…Basic Theta* is implemented in the game using grid-based map representation. Unity Engine provide its own pathfinding solution using A* algorithm with Navigation Mesh (NavMesh) map representation. …”
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Intelligent agent for e-commerce using genetic algorithm / Kok Sun Sun
Published 2000“…Indexer" to decide and index the relevant web pages, and ''Search algorithm" to retrieve the data from the results of indexing. …”
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A Map-matching Algorithm to Improve Vehicle Tracking Systems Accuracy
Published 2008“…The results showed that the proposed algorithm is able to improve the map-matching accuracy as compared to the point-to-curve algorithm. …”
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