[HTML][HTML] A hybrid machine learning model for classifying gene mutations in cancer using LSTM, BiLSTM, CNN, GRU, and GloVe
In our study, we introduce a novel hybrid ensemble model that synergistically combines
LSTM, BiLSTM, CNN, GRU, and GloVe embeddings for the classification of gene mutations …
LSTM, BiLSTM, CNN, GRU, and GloVe embeddings for the classification of gene mutations …
Predicting Pandemic Fatality Based on Supervised Machine Learning Methods
J AlShaqsi, M Borghan, O Drogham… - Engineered …, 2024 - espublisher.com
This study aimed to conduct intensive experiments on predictive machine learning models to
predict the parameters behind death due to the coronavirus (COVID-19). Datasets were …
predict the parameters behind death due to the coronavirus (COVID-19). Datasets were …
An Ensemble Approach to Question Classification: Integrating Electra Transformer, GloVe, and LSTM
This paper introduces a novel ensemble approach for question classification using state-of-
the-art models--Electra, GloVe, and LSTM. The proposed model is trained and evaluated on …
the-art models--Electra, GloVe, and LSTM. The proposed model is trained and evaluated on …