IEEE

Efficient Bangla Tense Classification Using GRU, LSTM, and Bidirectional Approaches

Abstract: This study explores Bangla tense classification using advanced RNN architectures GRU, LSTM, Bi-LSTM, and Bi-GRU on a meticulously constructed and balanced dataset representing Present, ...
GitHub

arm_lstm_unidirectional_s8.c

* not use this file except in compliance with the License. * You may obtain a copy of the License at * www.apache.org/licenses/LICENSE-2.0 ...
Scientific Research Publishing

Kim, D., Farhad, A. and Pyun, J. (2023) UWB Positioning System Based on LSTM Classification with Mitigated NLOS Effects. IEEE Internet of Things Journal, 10, 1822-1835.

ABSTRACT: Ultra-wide band (UWB) positioning technology has attracted increasing attention due to its high ranging accuracy. However, in indoor environments, non-line-of-sight (NLOS) signals ...
Scientific Research Publishing

Karim, F., Majumdar, S., Darabi, H. and Chen, S. (2018) LSTM Fully Convolutional Networks for Time Series Classification. IEEE Access, 6, 1662-1669.

ABSTRACT: Ultra-wide band (UWB) positioning technology has attracted increasing attention due to its high ranging accuracy. However, in indoor environments, non-line-of-sight (NLOS) signals ...
IEEE

Hybrid CNN-LSTM Model for EEG-Based Motor Imagery Classification

Abstract: BCIs offer a direct communication channel between the external device and the brain. The study targets EEG signal-based MI classification with a hybrid model that utilizes CNN-LSTM in ...