Bi Directional LSTM

Bidirectional Long Short-Term Memory (Bi-LSTM) networks are recurrent neural networks designed to process sequential data by considering both past and future context simultaneously, improving upon the unidirectional LSTM's limitations. Current research focuses on applying Bi-LSTMs to diverse applications, including time series forecasting (e.g., wind speed, Bitcoin price, energy consumption), multi-dimensional data analysis (e.g., image and video processing), and natural language processing (e.g., morpheme detection, sentiment analysis). This versatility makes Bi-LSTMs a valuable tool across various scientific fields and practical applications, offering enhanced accuracy and efficiency in tasks requiring contextual understanding of sequential information.

Papers

August 28, 2024

A Novel Denoising Technique and Deep Learning Based Hybrid Wind Speed Forecasting Model for Variable Terrain Conditions
Sourav Malakar, Saptarsi Goswami, Amlan Chakrabarti, Bhaswati Ganguli
Adaptive Model Short Term Forecasting Empirical Mode Decomposition Bi Directional LSTM Short Term Wind Speed

February 8, 2024

Mamba-ND: Selective State Space Modeling for Multi-Dimensional Data
Shufan Li, Harkanwar Singh, Aditya Grover
Transformer Based Self Attention Layer Selective State Space Bi Directional LSTM Progressive Fusion Mamba

January 19, 2024

A Novel and Accurate BiLSTM Configuration Controller for Modular Soft Robots with Module Number Adaptability
Zixi Chen, Matteo Bernabei, Vanessa Mainardi, Xuyang Ren, Gastone Ciuti, Cesare Stefanini
Soft Robot Long Form Novel Modular Robot Bidirectional LSTM Bi Directional LSTM BiLSTM CNN CRF

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

May 26, 2023

Preliminary studies: Comparing LSTM and BLSTM Deep Neural Networks for Power Consumption Prediction
Davi Guimarães da Silva, Anderson Alvarenga de Moura Meneses
Long Short Term Memory Preliminary Study Power Consumption Consumption Forecasting Bi Directional LSTM

April 6, 2023

End-to-end Manipulator Calligraphy Planning via Variational Imitation Learning
Fangping Xie, Pierre Le Meur, Charith Fernando
Imitation Learning Individual Handwriting Visual Imitation Learning Chinese Calligraphy Bi Directional LSTM Deep Imitation

February 8, 2023

A Model for Forecasting Air Quality Index in Port Harcourt Nigeria Using Bi-LSTM Algorithm
O. E. Taylor, P. S. Ezekiel
Full Model Bi LSTM Air Quality Index Bi Directional LSTM Air Pollution Data

January 11, 2023

Deteksi Depresi dan Kecemasan Pengguna Twitter Menggunakan Bidirectional LSTM
Kuncahyo Setyo Nugroho, Ismail Akbar, Affi Nizar Suksmawati, Istiadi
LSTM Network Standard LSTM Bidirectional LSTM Bi Directional LSTM

February 9, 2022

Time-Frequency Mask Aware Bi-directional LSTM: A Deep Learning Approach for Underwater Acoustic Signal Separation
Jie Chen, Chang Liu, Jiawu Xie, Jie An, Nan Huang
Deep Learning Approach Underwater Acoustic Signal Bi Directional LSTM Signal Separation

December 18, 2021

Morpheme Boundary Detection & Grammatical Feature Prediction for Gujarati : Dataset & Model
Jatayu Baxi, Dr. Brijesh Bhatt
Data Set Full Model Indian Language Bi LSTM Morphological Inflection Morphological Analyzer Bi Directional LSTM Morpheme Segmentation

December 6, 2021

Smart Metering System Capable of Anomaly Detection by Bi-directional LSTM Autoencoder
Sangkeum Lee, Hojun Jin, Sarvar Hussain Nengroo, Yoonmee Doh, Chungho Lee, Taewook Heo, Dongsoo Har
Anomaly Detection Long Short Term Memory Smart Meter Bi Directional LSTM

Bi Directional LSTM

Papers

A Novel Denoising Technique and Deep Learning Based Hybrid Wind Speed Forecasting Model for Variable Terrain Conditions

Mamba-ND: Selective State Space Modeling for Multi-Dimensional Data

A Novel and Accurate BiLSTM Configuration Controller for Modular Soft Robots with Module Number Adaptability

A Data-driven Deep Learning Approach for Bitcoin Price Forecasting

Preliminary studies: Comparing LSTM and BLSTM Deep Neural Networks for Power Consumption Prediction

End-to-end Manipulator Calligraphy Planning via Variational Imitation Learning

A Model for Forecasting Air Quality Index in Port Harcourt Nigeria Using Bi-LSTM Algorithm

Deteksi Depresi dan Kecemasan Pengguna Twitter Menggunakan Bidirectional LSTM

Time-Frequency Mask Aware Bi-directional LSTM: A Deep Learning Approach for Underwater Acoustic Signal Separation

Morpheme Boundary Detection & Grammatical Feature Prediction for Gujarati : Dataset & Model

Smart Metering System Capable of Anomaly Detection by Bi-directional LSTM Autoencoder