Integration of CNN and LSTM networks for behavior feature recognition: an analysis

QR Code

Integration of CNN and LSTM networks for behavior feature recognition: an analysis

This study explores an integration model combining convolutional neural networks (CNNs) and long short-term memory networks (LSTMs) for behavior feature recognition. Initially, a straightforward three-dimensional deep CNN structure was introduced for behavior recognition, capturing static and dynami...

Full description

Bibliographic Details
Main Authors:	Aris, Teh Noranis Mohd, Ningning, Chen, Mustapha, Norwati, Zolkepli, Maslina
Format:	Article
Language:	English
Published:	Insight Society 2024
Online Access:	http://psasir.upm.edu.my/id/eprint/117497/ http://psasir.upm.edu.my/id/eprint/117497/1/117497.pdf

Similar Items

Sign language recognition using deep learning through LSTM and CNN
by: Kiran, Pandian, et al.
Published: (2023)

Comparison of ELM, LSTM, and CNN Models in Breast Cancer Classification
by: Silvia, Ratna, et al.
Published: (2024)

Hybrid machine learning model based on feature decomposition and entropy optimization for higher accuracy flood forecasting
by: Mohd Khairudin, Nazli, et al.
Published: (2024)

Hybrid machine learning model based on feature decomposition and entropy optimization for higher accuracy flood forecasting
by: Mohd Khairudin, Nazli, et al.
Published: (2024)

Integrated deep learning for cardiovascular risk assessment and diagnosis: An evolutionary mating algorithm-enhanced CNN-LSTM
by: Ahmed Alsarori, Ahmed Mohammed, et al.
Published: (2025)

Ensemble neural networks with input optimization for flood forecasting
by: Mohd Khairudin, Nazli, et al.
Published: (2024)

Using cascade CNN-LSTM-FCNs to identify AIaltered video based on eye state sequence
by: Muhammad Salihin, Saealal, et al.
Published: (2022)

Color QR code recognition utilizing neural network and fuzzy logic techniques
by: Badawi, Bakri, et al.
Published: (2017)

A self-attention enhanced deep CNN-LSTM based irregular surface recognition approach for integration into lower limb prosthesis systems to ensure safety through predictive walking
by: Norazian, Subari, et al.
Published: (2025)

Robust person recognition using CNN
by: Chen, M., et al.
Published: (2017)

Using cascade CNN-LSTM-FCNs to identify AI-altered video based on eye state sequence
by: Muhammad Salihin, Saealal, et al.
Published: (2022)

Personality recognition using composite audio-video features on custom CNN architecture
by: Eng, Zi Jye
Published: (2020)

Fault detection for medium voltage switchgear using a deep learning hybrid 1D-CNN-LSTM model
by: Alsumaidaee, Yaseen Ahmed Mohammed, et al.
Published: (2023)

In-depth review on machine learning models for long-term flood forecasting
by: Khairudin, Nazli Mohd, et al.
Published: (2022)

Fuzzy AHP and TOPSIS in cross domain collaboration Recommendation with fuzzy visualization representation
by: Zolkepli, Maslina, et al.
Published: (2020)

Improving brain tumor segmentation in MRI images through enhanced convolutional neural networks
by: Ayomide, Kabirat Sulaiman, et al.
Published: (2023)

Hyperspectral image classification by integrating attention-based LSTM and hybrid spectral networks
by: Ahmed AL-Kubaisi, Mohammed, et al.
Published: (2022)

Dynamic force-directed graph with weighted nodes for scholar network visualization
by: Mohd. Aris, Khalid Al-Walid, et al.
Published: (2022)

Super-low resolution face recognition using integrated Efficient Sub-Pixel Convolutional Neural Network (ESPCN) and Convolutional Neural Network (CNN)
by: Talab, Mohammed Ahmed, et al.
Published: (2019)

GMFR-CNN: An Integration of Gapped Motif Feature Representation and Deep Learning Approach for Enhancer Prediction
by: Yu, Shiong Wong, et al.
Published: (2016)

GMFR-CNN: An Integration of Gapped Motif Feature Representation and Deep Learning Approach for Enhancer Prediction
by: Yu, Shiong Wong, et al.
Published: (2016)

A novel BiGRUBiLSTM model for Multilevel Sentiment Analysis Using Deep Neural Network with BiGRU-BiLSTM
by: Islam, Md Shofiqul, et al.
Published: (2021)

White blood cell recognition for biomarker model using improved convolutional neural network (CNN)
by: Mohd Safuan, Syadia Nabilah
Published: (2022)

Text recognition (OCR) for patient records digitization using CNN
by: Ong, Zi Leong
Published: (2022)

Fuzzy AHP in a knowledge-based framework for early flood warning
by: Mohd Aris, Teh Noranis, et al.
Published: (2019)

Optimising LSTM and BiLSTM models for time series forecasting through hyperparameter tuning
by: Nur Haizum, Abd Rahman, et al.
Published: (2025)

Fuzzy logic model for flood warning expert system integrating multi-agent and ontology
by: Mohd Aris, Teh Noranis, et al.
Published: (2017)

Traffic Sign Board Recognition and Voice Alert System using CNN
by: Yogesh, C.M., et al.
Published: (2024)

Detection model for ambiguous intrusion using SMOTE and LSTM for Network Security
by: Khalaf, Al-Ogaidi Ali Hameed, et al.
Published: (2024)

LSTM recurrent neural network classifier for high impedance fault detection in solar PV integrated power system
by: Veerasamy, Veerapandiyan, et al.
Published: (2021)

Transformer-based model with CNN and CapsNets to improve Malay hate speech detection in tweets
by: Mustapha, Norwati, et al.
Published: (2024)

Object-oriented online course recommendation systems based on deep neural networks
by: Luo, Hao, et al.
Published: (2024)

Object-oriented online course recommendation systems based on deep neural networks
by: Husin, Nor Azura, et al.
Published: (2024)

Moving detection using cellular neural network (CNN)
by: Prema Latha, Subramaniam
Published: (2008)

Diabetes Diagnosis And Level Of Care Fuzzy Rule-Based Model Utilizing Supervised Machine Learning For Classification And Prediction
by: Mohd Aris, Teh Noranis, et al.
Published: (2024)

A fuzzy inference model for diagnosis of diabetes and level of care
by: Mohd Aris, Teh Noranis, et al.
Published: (2023)

Acoustic feature analysis for wet and dry road surface classification using two-stream CNN
by: Bahrami, Siavash, et al.
Published: (2020)

Air Quality Prediction Using RNN and LSTM
by: Keerthana, G., et al.
Published: (2024)

Food category recognition using SURF and MSER local feature representation
by: Razali, Mohd Norhisham, et al.
Published: (2017)

Recognition of food with monotonous appearance using speeded-up robust feature (SURF)
by: Razali, Mohd Norhisham, et al.
Published: (2018)