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The global, regional, and national burden of oesophageal cancer and its attributable risk factors in 195 countries and territories, 1990–2017: a systematic analysis for the Global...
منشور في 2020"…However, as a result of population growth and ageing, the total number of new cases increased by 52·3% (45·9–58·9), from 310 000 (300 000–322 000) to 473 000 (459 000–485 000); the number of deaths increased by 40·0% (34·1–46·3), from 311 000 (301 000–323 000) to 436 000 (425 000–448 000); and total DALYs increased by 27·4% (22·1–33·1), from 7·68 million (7·42–7·97) to 9·78 million (9·53–10·03). …"
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TB-CXRNet: Tuberculosis and Drug-Resistant Tuberculosis Detection Technique Using Chest X-ray Images
منشور في 2024"…Moreover, due to the increase of drug-resistant tuberculosis, the disease becomes more challenging in recent years. …"
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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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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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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-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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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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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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Across the Spectrum In-Depth Review AI-Based Models for Phishing Detection
منشور في 2024"…<p dir="ltr">Advancement of the Internet has increased security risks associated with data protection and online shopping. …"
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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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