[HTML][HTML] Multitask learning for crash analysis: A fine-tuned llm framework using twitter data
Highlights What are the main findings? Demonstrates the effectiveness of a novel multitask
learning (MTL) framework utilizing large language models (LLMs) for real-time analysis of …
learning (MTL) framework utilizing large language models (LLMs) for real-time analysis of …
Number of Road Accidents Predicting Using Deep Learning-Based LSTM Development Models
Road accidents cause chaos and state financial losses every year. Road accidents cannot
be stopped but can be controlled with predictions. The existing road accident prediction …
be stopped but can be controlled with predictions. The existing road accident prediction …
A Comparative Analysis of ARIMA Model and LSTM Network in Predicting COVID-19 Outcomes in India
T Premavathi - Milestone Transactions on Medical …, 2023 - milestoneresearch.in
The COVID-19 pandemic is a profound concern and an urgent issue that needs to be
addressed first and foremost globally. It strongly affects all areas of life from public health …
addressed first and foremost globally. It strongly affects all areas of life from public health …
[PDF][PDF] Научный обзор
ВМ Тютюнник, УМ Абед - researchgate.net
На основе изучения более 50 публикаций выявлены и обобщены методы и модели,
которые обычно используют авторы на различных континентах для прогнозирования …
которые обычно используют авторы на различных континентах для прогнозирования …