Results 81 to 90 of about 17,494 (194)

HARD-Xception

Proceedings of the International Florida Artificial Intelligence Research Society Conference
Deepfake detection systems achieve strong performance on clean datasets but remian highly vulnerable to adversarial perturbations and cross-dataset distribution shifts. We present HARD-Xception, a hybrid adversarially robust deepfake detection framework
Dhruv Vagadiya, Vaishnavi Sen, Rashida Hasan   +2 more
doaj  

Multi-level optimisation of feature extraction networks for concrete surface crack detection

Developments in the Built Environment
With the increasing utilisation of deep learning (DL) for detecting and classifying distress in concrete surfaces, the demand for accurate and precise models has risen.
Faris Elghaish, Sandra Matarneh, Farzad Pour Rahimian, Essam Abdellatef, David Edwards, Obuks Ejohwomu, Mohammed Abdelmegid, Chansik Park   +7 more
doaj   +1 more source

Electricity usage prediction using developed human evolutionary optimization algorithm and Xception neural network

Scientific Reports
The research paper introduces a novel technique for forecasting electricity usage by utilizing the Developed human evolutionary optimization (DHEO) algorithm and the Xception Neural Network (Xception-NN) model.
Dongxian Yu, Di Wu, Chongyang Liao, Zaihui Cao, Somayeh Pouramini   +4 more
doaj   +1 more source

CVGG-19: Customized Visual Geometry Group Deep Learning Architecture for Facial Emotion Recognition

IEEE Access
Facial emotion recognition (FER) detects a user’s facial expression with the camera sensors and behaves according to the user’s emotions. The FER can apply to entertainment, security, and traffic safety.
Jung Hwan Kim, Alwin Poulose, Dong Seog Han   +2 more
doaj   +1 more source

PrecisionLymphoNet: Advancing Malignant Lymphoma Diagnosis via Ensemble Transfer Learning with CNNs

Diagnostics
Malignant lymphoma, which impacts the lymphatic system, presents diverse challenges in accurate diagnosis due to its varied subtypes—chronic lymphocytic leukemia (CLL), follicular lymphoma (FL), and mantle cell lymphoma (MCL).
Sivashankari Rajadurai, Kumaresan Perumal, Muhammad Fazal Ijaz, Chiranji Lal Chowdhary   +3 more
doaj   +1 more source

Deepfake Detection Using Xception and LSTM

International Research Journal of Modernization in Engineering Technology and Science, 2023
openaire   +1 more source

Deep learning-based approach for differential diagnosis of odontogenic cysts from histopathological images. [PDF]

Med Oral Patol Oral Cir Bucal
Torul D, Bayrakdar IS, Bozkurt MH, Erdem H, Akcay-Celik M, Ersan-Erdem B, Salman FG.   +6 more
europepmc   +1 more source

Hybrid deep feature integration model for robust deepfake detection using transfer-learned neural networks. [PDF]

Front Artif Intell
Potluri S, Kandagatla SP, Mohanty SN, Rout KC, Israr M, Gupta VM.   +5 more
europepmc   +1 more source

Convolutional automatic identification of B-lines and interstitial syndrome in lung ultrasound images using pre-trained neural networks with feature fusion. [PDF]

Front Digit Health
Moafa K, Antico M, Vukovic D, Edwards C, Canty D, Cid Serra X, Royse A, Royse C, Haji K, Dowling J, Steffens M, Fontanarosa D.   +11 more
europepmc   +1 more source

A pruned and parameter-efficient Xception framework for skin cancer classification. [PDF]

PLoS One
Kılıç Ş, Doğan Y.
europepmc   +1 more source