id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
cana-1860	Vijaya Kamble	Design of an Improved Model for Multimodal Data Fusion Using XGBoost-LSTM-CNN and Proximal Policy Optimizations	2024	13	.pdf	application/pdf	5250	211	37	In addition, Kim and Kim have suggested the use of convolutional transformer models for multivariate time series prediction as a way to enhance feature extraction by incorporating transformer mechanisms. On the whole, though contributive in large measures within certain specific domains, those pertaining to time-series and multimodal data predictions, the integration of XGBoost, LSTM, CNN, PPO, and Bayesian Neural Networks has made the proposed model far more comprehensive, scalable, and adaptable.	cache/cana-1860.pdf	txt/cana-1860.txt