Using cascade CNN-LSTM-FCNs to identify AI-altered video based on eye state sequence

QR Code

Using cascade CNN-LSTM-FCNs to identify AI-altered video based on eye state sequence

Deep learning is notably successful in data analysis, computer vision, and human control. Nevertheless, this approach has inevitably allowed the development of DeepFake video sequences and images that could be altered so that the changes are not easily or explicitly detectable. Such alterations have...

Full description

Bibliographic Details
Main Authors:	Muhammad Salihin, Saealal, Mohd Zamri, Ibrahim, Mulvaney, D. J., Mohd Ibrahim, Shapiai, Norasyikin, Fadilah
Format:	Article
Language:	English
Published:	Public Library of Science 2022
Subjects:	QA75 Electronic computers. Computer science
Online Access:	http://umpir.ump.edu.my/id/eprint/39129/ http://umpir.ump.edu.my/id/eprint/39129/1/journal.pone.0278989%20%282%29.pdf

Similar Items

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

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

In-The-Wild deepfake detection using adaptable CNN models with visual class activation mapping for improved accuracy
by: Muhammad Salihin, Saealal, et al.
Published: (2023)

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

Integration of CNN and LSTM networks for behavior feature recognition: an analysis
by: Aris, Teh Noranis Mohd, et al.
Published: (2024)

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

Three-Dimensional Convolutional Approaches for the Verification of Deepfake Videos: The Effect of Image Depth Size on Authentication Performance
by: Muhammad Salihin, Saealal, et al.
Published: (2023)

A CNN cascade for landmark guided semantic part segmentation
by: Jackson, Aaron S., et al.
Published: (2016)

Rainfall Prediction in Palembang City Using the GRU and LSTM Methods
by: Surta, Wijaya, et al.
Published: (2023)

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)

Pre-trained based CNN model to identify finger vein
by: Fairuz, Subha, et al.
Published: (2019)

Implementation of haar cascade classifier and eye aspect ratio for driver drowsiness detection using raspberry pi
by: Kamarudin, Nora, et al.
Published: (2019)

Cascaded and separate channel estimation based on CNN for RIS-MIMO systems
by: Hussein, Wala'a, et al.
Published: (2024)

Face detection based on Haar cascade and Convolution Neural Network (CNN)
by: Mohd Ariffin, Noor Afiza, et al.
Published: (2025)

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

Enhanced hand vein segmentation using generative adversarial network integrated with modified ECA module
by: Marlina, Yakno, et al.
Published: (2025)

Cascade style sheets
by: Shah, Asadullah, et al.
Published: (2011)

Diabetes Classification Using a Framework Stacking of BiLSTM, Logistic Regression, and XGBoost
by: M. Rezqy, Noor Ridha, et al.
Published: (2024)

Lung Cancer Classification Using Stacking Framework of BiLSTM, Logistic Regression, and XGBoost
by: Muhammad Nikho, Dwi Putra, et al.
Published: (2025)

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

Industry 4.0: Eyeing The Future via Simulation
by: Aisyah, Ibrahim, et al.
Published: (2020)

Email Phishing Detection Model using CNN Model
by: Gurumurthy, M., et al.
Published: (2024)

Classification of Heart Disease Using a Stacking Framework of BiGRU, BiLSTM, and XGBoost
by: Haldi, Budiman, et al.
Published: (2024)

A material named entity recognition model using domain embedded bi-lstm and hybrid cosine with wordvector similarity approach
by: Miah, Md Saef Ullah
Published: (2024)

Face recognition using faster R-CNN with inception-V2 architecture for CCTV camera
by: Halawa, Lavin J., et al.
Published: (2019)

Water Level Prediction of Riam Kanan Dam Using ConvLSTM, BPNN, Gradient Boosting, and XGBoosting Stacking Framework (CLBGXGBoostS)
by: Usman, Syapotro, et al.
Published: (2024)

Battery electric vehicle charging load forecasting using LSTM on STL trend, seasonality, and residual decomposition
by: Syahrizal, Salleh, et al.
Published: (2024)

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

Eye-see:ai-developed device for the visually impaired
by: Ishak, Mohamad Hafis Izran, et al.
Published: (2022)

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

Stock Trend Prediction Using LSTM with MA, EMA, MACD and RSI Indicators
by: Chan, Kah Him, et al.
Published: (2023)

Leaf disease detection in plant care using CNN architecture: AlexNet and ResNet-50 models
by: Ajra, Husnul, et al.
Published: (2024)

Assessing the effect of learning with eye-fixation complexity analysis
by: Che Azemin, Mohd Zulfaezal, et al.
Published: (2019)

In the eye of the beholder: How proactive coping alters perceptions of insecurity.
by: Koen, J., et al.
Published: (2020)

Comparative Analysis of Pneumonia Detection from Chest X-Ray Images Using CNN And Transfer Learning
by: Naveen Kumar, M., et al.
Published: (2024)

How AIS Addresses Adaptability in IDS
by: Zainal, Anazida, et al.
Published: (2005)

Use Word Cloud Image Of Web Page Text Content On Convolutional Neural Network (CNN) For Classification Of Web Pages
by: Siti Hawa, Apandi, et al.
Published: (2024)

A hybrid deep CNN model for fast class-incremental food classification / Aymen Taher Ahmed al-Ashwal
by: Aymen Taher , Ahmed al-Ashwal
Published: (2019)

Web page classification using convolutional neural network (CNN) towards eliminating internet addiction
by: Siti Hawa, Apandi, et al.
Published: (2021)

Cabaran AI dalam Pendidikan: Kaedah Mengesan Penggunaan Alatan AI dalam Tugasan Pelajar
by: Rahmah, Mokhtar
Published: (2024)