Marriam Nawaz

Multim. Tools Appl., May, 2024

CoffeeNet: A deep learning approach for coffee plant leaves diseases recognition.

[BibT_eX]

[DOI]

Expert Syst. Appl., March, 2024

Convolutional long short-term memory-based approach for deepfakes detection from videos.

[BibT_eX]

[DOI]

Aun Irtaza

Multim. Tools Appl., February, 2024

COVID-ECG-RSNet: COVID-19 classification from ECG images using swish-based improved ResNet model.

[BibT_eX]

[DOI]

Biomed. Signal Process. Control., 2024

EDet-BTR: EfficientDet-based brain tumor recognition from the magnetic resonance imaging.

[BibT_eX]

[DOI]

Biomed. Signal Process. Control., 2024

A deep learning model for FaceSwap and face-reenactment deepfakes detection.

[BibT_eX]

[DOI]

Aun Irtaza

Appl. Soft Comput., 2024

2023

ResNet-Swish-Dense54: a deep learning approach for deepfakes detection.

[BibT_eX]

[DOI]

Aun Irtaza

Vis. Comput., December, 2023

An improved DenseNet model for prediction of stock market using stock technical indicators.

[BibT_eX]

[DOI]

Expert Syst. Appl., December, 2023

An improved deep learning approach for localization and recognition of plant leaf diseases.

[BibT_eX]

[DOI]

Expert Syst. Appl., November, 2023

A robust framework to generate surveillance video summaries using combination of zernike moments and r-transform and deep neural network.

[BibT_eX]

[DOI]

Multim. Tools Appl., April, 2023

Deepfakes generation and detection: state-of-the-art, open challenges, countermeasures, and way forward.

[BibT_eX]

[DOI]

Appl. Intell., February, 2023

A Novel Approach for Brain Tumor Classification Using an Ensemble of Deep and Hand-Crafted Features.

[BibT_eX]

[DOI]

Sensors, 2023

FRD-LSTM: a novel technique for fake reviews detection using DCWR with the Bi-LSTM method.

[BibT_eX]

[DOI]

Multim. Tools Appl., 2023

MaizeNet: A Deep Learning Approach for Effective Recognition of Maize Plant Leaf Diseases.

[BibT_eX]

[DOI]

IEEE Access, 2023

Plant Disease Classification Using VGG-19 Based Faster-RCNN.

[BibT_eX]

[DOI]

Venkatesan Rajinikanth

Seifedine Nimer Kadry

Proceedings of the Advances in Computing and Data Sciences - 7th International Conference, 2023

Classification of Real and Deepfakes Visual Samples with Pre-trained Deep Learning Models.

[BibT_eX]

[DOI]

Venkatesan Rajinikanth

Seifedine Nimer Kadry

Proceedings of the Advances in Computing and Data Sciences - 7th International Conference, 2023

2022

An Efficient Deep Learning Approach to Automatic Glaucoma Detection Using Optic Disc and Optic Cup Localization.

[BibT_eX]

[DOI]

Jaehyuk Cha

Sensors, 2022

Multiclass classification of brain tumors using a novel CNN architecture.

[BibT_eX]

[DOI]

Multim. Tools Appl., 2022

Melanoma segmentation: A framework of improved DenseNet77 and UNET convolutional neural network.

[BibT_eX]

[DOI]

Usman Tariq

Naveera Sahar

Robertas Damasevicius

Int. J. Imaging Syst. Technol., 2022

Faceswap based deepfakes detection.

[BibT_eX]

[DOI]

Int. Arab J. Inf. Technol., 2022

Copy move forgery detection and segmentation using improved mask region-based convolution network (RCNN).

[BibT_eX]

[DOI]

Appl. Soft Comput., 2022

2021

Detection of Diabetic Eye Disease from Retinal Images Using a Deep Learning Based CenterNet Model.

[BibT_eX]

[DOI]

Sensors, 2021

Melanoma localization and classification through faster region-based convolutional neural network and SVM.

[BibT_eX]

[DOI]

Multim. Tools Appl., 2021

Single and multiple regions duplication detections in digital images with applications in image forensic.

[BibT_eX]

[DOI]

J. Intell. Fuzzy Syst., 2021

Glaucoma detection using tetragonal local octa patterns and SVM from retinal images.

[BibT_eX]

[DOI]