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Found 5 papers, 0 papers with code
LLMs-Healthcare : Current Applications and Challenges of Large Language Models in various Medical Specialties
We aim to present a comprehensive overview of the latest advancements in utilizing Large Language Models (LLMs) within the healthcare sector, emphasizing their transformative impact across various medical domains.
Timestamp-Supervised Action Segmentation with Graph Convolutional Networks
We introduce a novel approach for temporal activity segmentation with timestamp supervision.
Unsupervised Action Segmentation by Joint Representation Learning and Online Clustering
The temporal optimal transport module enables our approach to learn effective representations for unsupervised activity segmentation.
Machine Learning and Data Science approach towards trend and predictors analysis of CDC Mortality Data for the USA
The research on mortality is an active area of research for any country where the conclusions are driven from the provided data and conditions.
An Intelligent and Time-Efficient DDoS Identification Framework for Real-Time Enterprise Networks SAD-F: Spark Based Anomaly Detection Framework
Further, we study and compare the performance factor of our proposed framework on three different testbeds including normal commodity hardware, low-end system, and high-end system.
