Abstract: This paper introduces a novel deep learning-based algorithm that integrates a long short-term memory (LSTM)-based auto-encoder (AE) network with support vector machine (SVM) for ...
Abstract: Sea surface temperature (SST) prediction is not only theoretically important but also has a number of practical applications across a variety of ocean-related fields. Although a large amount ...
This is an application of "Attention-based LSTM for Aspect-level Sentiment Classification" by Yequan Wang, Minlie Huang, Li Zhao, and Xiaoyan Zhu. The Attention-based LSTM with Aspect Embedding ...
This project implements CLAM (CNN-LSTM-AM), a hybrid deep learning model combining Convolutional Neural Networks (CNN), Long Short-Term Memory (LSTM) networks, and an Attention Mechanism (AM) for ...
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