Results 91 to 100 of about 1,466 (208)

Making Machine Learning Accessible for Developmental Science: The Case of Automated Face Detection. [PDF]

Dev Sci
Nikolov TY, Yurkovic-Harding J, Foldes T, Bradshaw J, Lai YK, D'Souza H.   +5 more
europepmc   +1 more source

ENHANCING DEEPFAKE DETECTION: LEVERAGING MTCNN AND INCEPTION RESNET

INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT
In response to the escalating threat posed by manipulated facial imagery in the digital age, our research project is dedicated to developing an advanced framework for the detection and classification of such content, augmented by a proactive user reporting mechanism.
openaire   +1 more source

A dense multi-pooling convolutional network for driving fatigue detection. [PDF]

Sci Rep
Han Q, Cui S, Min W, Yan C, Liu L, Ning F, Li L.   +6 more
europepmc   +1 more source

Comparison of Subjective Facial Emotion Recognition and "Facial Emotion Recognition Based on Multi-Task Cascaded Convolutional Network Face Detection" between Patients with Schizophrenia and Healthy Participants. [PDF]

Healthcare (Basel), 2022
Akiyama T, Matsumoto K, Osaka K, Tanioka R, Betriana F, Zhao Y, Kai Y, Miyagawa M, Yasuhara Y, Ito H, Soriano G, Tanioka T.   +11 more
europepmc   +1 more source

Real-time facial recognition via multitask learning on raspberry Pi. [PDF]

Sci Rep
Aboluhom AAA, Kandilli I.
europepmc   +1 more source

Lightweight and Real-Time Driver Fatigue Detection Based on MG-YOLOv8 with Facial Multi-Feature Fusion. [PDF]

J Imaging
Chen C, Liu X, Zhou M, Li Z, Du Z, Lin Y.   +5 more
europepmc   +1 more source

Face Recognition Based on MTCNN and Convolutional Neural Network

Frontiers in Signal Processing, 2020
Hongchang Ku, Wei Dong
openaire   +1 more source

Secure and Decentralized Hybrid Multi-Face Recognition for IoT Applications. [PDF]

Sensors (Basel)
Abdullahu E, Wache H, Piangerelli M.
europepmc   +1 more source

Artificial intelligence guided acupuncture decision making and treatment: a review of research. [PDF]

Front Med (Lausanne)
Nie R, Deng K, He J, Jia J, Wang H, Yuan S, Li T.   +6 more
europepmc   +1 more source

CN-VEFD: A visual emotion feature dataset for Chinese ESG reports. [PDF]

Data Brief
Duan Z, Xu Y, Xia B.
europepmc   +1 more source