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Improving diagnosis and prognosis of lung cancer using vision transformers: a scoping review
منشور في 2023"…It provides key insights into how vision transformers complemented the performance of AI and deep learning methods for lung cancer. Furthermore, the review also identifies the datasets that contributed to advancing the field.…"
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104
Detection of Real-Time Malicious Intrusions and Attacks in IoT Empowered Cybersecurity Infrastructures
منشور في 2023"…To address these issues, we propose a deep learning-based novel method to detect cybersecurity vulnerabilities and breaches in cyber-physical systems. …"
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YOLO-SAIL: Attention-Enhanced YOLOv5 With Optimized Bi-FPN for Ship Target Detection in SAR Images
منشور في 2025"…It has recently become increasingly popular to apply deep learning algorithms to the identification of ships in SAR images. …"
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Identifying Regional Trends in Avatar Customization
منشور في 2019"…We find that avatar customization correlates with increased social activity, and we are able to identify distinct visual trends among the U.S.…"
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Exploring Effects of Mental Stress with Data Augmentation and Classification Using fNIRS
منشور في 2025"…To improve our results and increase our dataset, we use data augmentation with a deep convolutional generative adversarial network (DCGAN). …"
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YOLO-DefXpert: An Advanced Defect Detection on PCB Surfaces Using Improved YOLOv11 Algorithm
منشور في 2025"…Compared to the standard YOLOv11 model, the proposed YOLO-DefXpert attained an improvement of 9.3% and 13.2% in mAP50 and mAP95, an 11.25% increase in frames per second, and a 69.85MB decrease in model size. …"
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Hyperspectral-physiological based predictive model for transpiration in greenhouses under CO<sub>2</sub> enrichment
منشور في 2023"…Three machine learning models were investigated for transpiration modelling and prediction: deep neural networks (DNN), extreme gradient boosting (XGBoost), and support vector machine regression (SVR). …"
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Across the Spectrum In-Depth Review AI-Based Models for Phishing Detection
منشور في 2024"…The novelty of this research lies in providing a roadmap for researchers, practitioners, and cybersecurity experts to navigate the landscape of machine learning (ML) and deep learning (DL) models for phishing detection. …"
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Efficient Detection of Hepatic Steatosis in Ultrasound Images Using Convolutional Neural Networks: A Comparative Study
منشور في 2023"…Problem Statement: This study aims to evaluate deep learning methods for binary classification of hepatic steatosis using ultrasound images. …"
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115
LLMs Have Rhythm: Fingerprinting Large Language Models Using Inter-Token Times and Network Traffic Analysis
منشور في 2025"…<p dir="ltr">As Large Language Models (LLMs) become increasingly integrated into many technological ecosystems across various domains and industries, identifying which model is deployed or being interacted with is critical for the security and trustworthiness of the systems. …"
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Image Steganography: A Review of the Recent Advances
منشور في 2021"…The secret information is hidden in a way that it not visible to the human eyes. Deep learning technology, which has emerged as a powerful tool in various applications including image steganography, has received increased attention recently. …"
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Adaptive PPO With Multi-Armed Bandit Clipping and Meta-Control for Robust Power Grid Operation Under Adversarial Attacks
منشور في 2025"…However, maintaining high operational stability is increasingly challenging due to evolving grid complexities and potential adversarial threats. …"
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Machine Learning-Based Management of Electric Vehicles Charging: Towards Highly-Dispersed Fast Chargers
منشور في 2020"…<p dir="ltr">Coordinated charging of electric vehicles (EVs) improves the overall efficiency of the power grid as it avoids distribution system overloads, increases power quality, and decreases voltage fluctuations. …"
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120
Evidence-based safety education and training for traffic injury prevention
منشور في 2015"…Bicycle skill training for children and youth may increase their safety knowledge, but not necessarily improve their behavior or decrease their injury rates. …"