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detection fusion » detection using (Expand Search)
fusion algorithm » auction algorithm (Expand Search), cosine algorithm (Expand Search)
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Estimating Vehicle State by GPS/IMU Fusion with Vehicle Dynamics
Published 2013Get full text
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A Fusion-Based Approach for Skin Cancer Detection Combining Clinical Images, Dermoscopic Images, and Metadata
Published 2025Get full text
doctoralThesis -
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CNN and HEVC Video Coding Features for Static Video Summarization
Published 2022Get full text
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YOLO-DefXpert: An Advanced Defect Detection on PCB Surfaces Using Improved YOLOv11 Algorithm
Published 2025“…This study introduces an improved PCB defect detection model, YOLO-DefXpert, using the YOLOv11 algorithm to address the low accuracy and efficiency challenges in detecting tiny-sized defects on PCBs. …”
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Multimodal feature fusion and ensemble learning for non-intrusive occupancy monitoring using smart meters
Published 2025“…In this study, we introduce the multimodal feature fusion for non-intrusive occupancy monitoring (MMF-NIOM) framework, which leverages both classical and deep machine learning algorithms to achieve state-of-the-art occupancy detection performance using smart meter data. …”
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Automatic Video Summarization Using HEVC and CNN Features
Published 2022Get full text
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YOLO-SAIL: Attention-Enhanced YOLOv5 With Optimized Bi-FPN for Ship Target Detection in SAR Images
Published 2025“…Finally, a new layer of feature fusion is introduced to locate smaller ships. We evaluated YOLO-SAIL against two public benchmark datasets, the SAR Ship Detection Dataset (SSDD) and the High Resolution SAR Images Dataset (HRSID). …”
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Modeling and Guidance of an Underactuated Autonomous Underwater Vehicle
Published 2017Get full text
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Oversampling techniques for imbalanced data in regression
Published 2024“…For tabular data, we also present the Auto-Inflater neural network, utilizing an exponential loss function for Autoencoders. …”
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Developing an online hate classifier for multiple social media platforms
Published 2020“…We then experiment with several classification algorithms (Logistic Regression, Naïve Bayes, Support Vector Machines, XGBoost, and Neural Networks) and feature representations (Bag-of-Words, TF-IDF, Word2Vec, BERT, and their combination). …”