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Transferability Evaluation in Wi-Fi Intrusion Detection Systems Through Machine Learning and Deep Learning Approaches
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Review of models for estimating 3D human pose using deep learning
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A Collaborative Privacy Preserved Federated Learning Framework for Pneumonia Detection using Diverse Chest X-ray Data Silos
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Chaos Game Optimization with stacked LSTM sequence to sequence autoencoder for malware detection in IoT cloud environment
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A Deep Multi-Task Learning Model for OD Traffic Flow Prediction Between Highway Stations
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MUNet: a novel framework for accurate brain tumor segmentation combining UNet and mamba networks
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Enabling high-throughput quantitative wood anatomy through a dedicated pipeline
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Estimating the Severity of Oral Lesions Via Analysis of Cone Beam Computed Tomography Reports: A Proposed Deep Learning Model
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AI Innovations in rPPG Systems for Driver Monitoring: Comprehensive Systematic Review and Future Prospects
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Application of deep learning algorithm for judicious use of anti-VEGF in diabetic macular edema
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An Airborne Gravity Gradient Compensation Method Based on Convolutional and Long Short-Term Memory Neural Networks
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Combined Oriented Data Augmentation Method for Brain MRI Images
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