Large Language Model Operations (LLMOps): Managing, deploying, and optimizing AI models like GPT. LLMOps involves fine-tuning, scaling, monitoring performance, and integrating AI systems into ...
New deep-learning framework reconstructs hourly PM2.5 chemical composition using air-quality and meteorological data ...
Cite as: {Henkel, M., Sprenger, M., and Lieleg, O., Machine learning for small data sets: an exemplary study on the classification of highly complex surface micromorphologies, unpublished work} The ...
CNN in deep learning is a special type of neural network that can understand images and visual information. It works just like human vision: first it detects edges, lines and then recognizes faces and ...
Abstract: One of the major challenges faced by ambulances is heavy traffic. When caught in congestion, ambulances can be delayed for longer periods, which poses a significant risk to patients' lives.
ABSTRACT: Phishing attacks remain a pervasive threat in the cybersecurity landscape, necessitating intelligent and scalable detection mechanisms. This paper suggests a deep learning-based method for ...
ABSTRACT: Phishing attacks remain a pervasive threat in the cybersecurity landscape, necessitating intelligent and scalable detection mechanisms. This paper suggests a deep learning-based method for ...
Abstract: Glucose monitoring plays a vital role in maintaining metabolic and nutritional balance. However, invasive methods, while accurate, are often painful and impractical for routine use. This ...
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