Abstract: The rapid increase in cyber threats has heightened the demand for Intrusion Detection Systems (IDS) that are both accurate and efficient. While deep learning models outperform traditional ...
A new medical large language model (LLM) achieved over 91% accuracy in identifying female participants diagnosed with major ...
A new medical large language model (LLM) achieved over 91 percent accuracy in identifying female participants diagnosed with major depressive disorder after analyzing a short WhatsApp audio recording ...
Abstract: Multi-object tracking (MOT) is essential in applications such as surveillance, security, healthcare, and autonomous driving, where effective feature extraction is critical to the performance ...
1 China Tobacco Sichuan Industrial Co., Ltd., Chengdu, China 2 Biosensor National Special Laboratory Department of Biomedical Engineering, Zhejiang University, Hangzhou, China Introduction: Individual ...
Jan 10 (Reuters) - Elon Musk said on Saturday that social media platform X will open to the public its new algorithm, including all code for organic and advertising post recommendations, in seven days ...
A robust, machine learning-powered tool for detecting and bypassing Web Application Firewalls (WAFs) with functional reinforcement learning, comprehensive testing, and clean architecture. Core ML ...
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