Bi LSTM

Bidirectional Long Short-Term Memory networks (Bi-LSTMs) are recurrent neural networks designed to process sequential data by considering both past and future contexts, improving upon the limitations of unidirectional LSTMs. Current research focuses on applying Bi-LSTMs, often in conjunction with other techniques like attention mechanisms, convolutional neural networks (CNNs), and transformer models, to diverse applications including time series forecasting (e.g., financial markets, air quality, and physiological signals), natural language processing (e.g., sentiment analysis, named entity recognition, and machine translation), and image analysis (e.g., medical image classification). The versatility and effectiveness of Bi-LSTMs in handling sequential dependencies make them a valuable tool across numerous scientific fields and practical applications, enabling improved accuracy and efficiency in various prediction and classification tasks.

Papers

October 29, 2024

Efficient Machine Translation with a BiLSTM-Attention Approach
Yuxu Wu, Yiren Xing
Machine Translation Seq2seq Model Bi LSTM

September 23, 2024

Optimizing News Text Classification with Bi-LSTM and Attention Mechanism for Efficient Data Processing
Bingyao Liu, Jiajing Chen, Rui Wang, Junming Huang, Yuanshuai Luo, Jianjun Wei
Long Short Term Memory Attention Mechanism Text Classification News Article Bi LSTM Automatic Classification

August 23, 2024

EUR-USD Exchange Rate Forecasting Based on Information Fusion with Large Language Models and Deep Learning Methods
Hongcheng Ding, Xuanze Zhao, Zixiao Jiang, Shamsul Nahar Abdullah, Deshinta Arrova Dewi
Deep Learning Information Fusion Bi LSTM Unstructured Text Data

August 22, 2024

Recording Brain Activity While Listening to Music Using Wearable EEG Devices Combined with Bidirectional Long Short-Term Memory Networks
Jingyi Wang, Zhiqun Wang, Guiran Liu
High Dimensional Long Short Term Memory Music Industry Neural Recording Bi LSTM Bidirectional Correspondence Brain Data

August 8, 2024

NeuralMultiling: A Novel Neural Architecture Search for Smartphone based Multilingual Speaker Verification
Aravinda Reddy PN, Raghavendra Ramachandra, K. Sreenivasa Rao, Pabitra Mitra
Neural Architecture Search Speaker Verification Bi LSTM Smartphone Device Multilingual Audio Visual Speech Recognition Multiset Neuron

August 5, 2024

Deciphering Air Travel Disruptions: A Machine Learning Approach
Aravinda Jatavallabha, Jacob Gerlach, Aadithya Naresh
Time Series LSTM Network Machine Learning Approach Bi LSTM Flight Delay Delay Prediction

May 24, 2024

Resource-Efficient Heartbeat Classification Using Multi-Feature Fusion and Bidirectional LSTM
Reza Nikandish, Jiayu He, Benyamin Haghi
Feature Fusion Bi LSTM Electrocardiogram Classification MIT BIH Arrhythmia Bidirectional LSTM ECG Monitoring System

May 3, 2024

Enhancing Bangla Language Next Word Prediction and Sentence Completion through Extended RNN with Bi-LSTM Model On N-gram Language
Md Robiul Islam, Al Amin, Aniqua Nusrat Zereen
Sentence Level \Sigma}{\Delta}$ Low Pas RNN N Gram Bi LSTM Bangla Natural Language

April 15, 2024

The Performance of Sequential Deep Learning Models in Detecting Phishing Websites Using Contextual Features of URLs
Saroj Gopali, Akbar S. Namin, Faranak Abri, Keith S. Jones
Deep Learning Model System Performance LSTM Network Temporal Convolutional Network Bi LSTM Context Feature Uniform Resource Locator Sequential Deep

February 15, 2024

Hybrid CNN Bi-LSTM neural network for Hyperspectral image classification
Alok Ranjan Sahoo, Pavan Chakraborty
Neural Network 2 Dimensional Spectral Feature Hyperspectral Image Classification 3d CNN Bi LSTM Spectral Information Spectral Image

January 23, 2024

Multicultural Name Recognition For Previously Unseen Names
Alexandra Loessberg-Zahl
Entity Recognition Named Entity Recognition Bi LSTM Unseen Entity Word Model

January 14, 2024

Harnessing Large Language Models Over Transformer Models for Detecting Bengali Depressive Social Media Text: A Comprehensive Study
Ahmadul Karim Chowdhury, Md. Saidur Rahman Sujon, Md. Shirajus Salekin Shafi, Tasin Ahmmad, Sifat Ahmed, Khan Md Hasib, Faisal Muhammad Shah
Long Short Term Memory Transformer Model Comprehensive Study Bi LSTM

January 6, 2024

Vision Transformers and Bi-LSTM for Alzheimer's Disease Diagnosis from 3D MRI
Taymaz Akan, Sait Alp, Mohammad A. N Bhuiyanb
Vision Transformer Alzheimer'S Disease Bi LSTM Disease Neuroimaging Initiative Visual Transformer 3d Mri

December 5, 2023

Dimensionality Reduction and Dynamical Mode Recognition of Circular Arrays of Flame Oscillators Using Deep Neural Network
Weiming Xu, Tao Yang, Peng Zhang
Deep Neural Network Dimensionality Reduction Bi LSTM Spherical Microphone Array Dynamical Mode Recognition Combustion System

October 27, 2023

A Data-driven Deep Learning Approach for Bitcoin Price Forecasting
Parth Daxesh Modi, Kamyar Arshi, Pertami J. Kunz, Abdelhak M. Zoubir
Bi LSTM Cryptocurrency Price Bi Directional LSTM Bitcoin Price

September 23, 2023

An Interpretable Systematic Review of Machine Learning Models for Predictive Maintenance of Aircraft Engine
Abdullah Al Hasib, Ashikur Rahman, Mahpara Khabir, Md. Tanvir Rouf Shawon
Machine Learning Machine Learning Model LSTM Network Bi LSTM Turbofan Engine

September 10, 2023

Transparency in Sleep Staging: Deep Learning Method for EEG Sleep Stage Classification with Model Interpretability
Shivam Sharma, Suvadeep Maiti, S. Mythirayee, Srijithesh Rajendran, Raju Surampudi Bapi
Deep Learning Transparency Index Model Interpretability Bi LSTM Sleep Staging Sleep Stage Single Channel

July 31, 2023

An Efficient Recommendation System in E-commerce using Passer learning optimization based on Bi-LSTM
Hemn Barzan Abdalla, Awder Ahmed, Bahtiyar Mehmed, Mehdi Gheisari, Maryam Cheraghy
Optimization Purpose E Commerce Bi LSTM Recommendation Datasets Efficient Recommender System Bi LSTM CRF

June 14, 2023

Ball Trajectory Inference from Multi-Agent Sports Contexts Using Set Transformer and Hierarchical Bi-LSTM
Hyunsung Kim, Han-Jun Choi, Chang Jo Kim, Jinsung Yoon, Sang-Ki Ko
Sport Analytics Bi LSTM Agent Trajectory Forecast Trajectory Ball Trajectory Ball Tracking

June 3, 2023

FlairNLP at SemEval-2023 Task 6b: Extraction of Legal Named Entities from Legal Texts using Contextual String Embeddings
Vinay N Ramesh, Rohan Eswara
SemEval 2022 Task Entity Mention Legal Text Knowledge Extraction Entity Extraction Bi LSTM FLAIR Embeddings

Bi LSTM

Papers

Efficient Machine Translation with a BiLSTM-Attention Approach

Optimizing News Text Classification with Bi-LSTM and Attention Mechanism for Efficient Data Processing

EUR-USD Exchange Rate Forecasting Based on Information Fusion with Large Language Models and Deep Learning Methods

Recording Brain Activity While Listening to Music Using Wearable EEG Devices Combined with Bidirectional Long Short-Term Memory Networks

NeuralMultiling: A Novel Neural Architecture Search for Smartphone based Multilingual Speaker Verification

Deciphering Air Travel Disruptions: A Machine Learning Approach

Resource-Efficient Heartbeat Classification Using Multi-Feature Fusion and Bidirectional LSTM

Enhancing Bangla Language Next Word Prediction and Sentence Completion through Extended RNN with Bi-LSTM Model On N-gram Language

The Performance of Sequential Deep Learning Models in Detecting Phishing Websites Using Contextual Features of URLs

Hybrid CNN Bi-LSTM neural network for Hyperspectral image classification

Multicultural Name Recognition For Previously Unseen Names

Harnessing Large Language Models Over Transformer Models for Detecting Bengali Depressive Social Media Text: A Comprehensive Study

Vision Transformers and Bi-LSTM for Alzheimer's Disease Diagnosis from 3D MRI

Dimensionality Reduction and Dynamical Mode Recognition of Circular Arrays of Flame Oscillators Using Deep Neural Network

A Data-driven Deep Learning Approach for Bitcoin Price Forecasting

An Interpretable Systematic Review of Machine Learning Models for Predictive Maintenance of Aircraft Engine

Transparency in Sleep Staging: Deep Learning Method for EEG Sleep Stage Classification with Model Interpretability

An Efficient Recommendation System in E-commerce using Passer learning optimization based on Bi-LSTM

Ball Trajectory Inference from Multi-Agent Sports Contexts Using Set Transformer and Hierarchical Bi-LSTM

FlairNLP at SemEval-2023 Task 6b: Extraction of Legal Named Entities from Legal Texts using Contextual String Embeddings