Results 41 to 50 of about 1,466 (208)
The continuous demand for reliable and privacy‐sensitive face recognition and detection has led to improvements in machine learning and federated learning (FL) frameworks. While the centralized framework of existing solutions is beneficial for data collection, it presents significant privacy concerns and challenges due to the diversity of data types ...
Wisam Hazim Gwad +4 more
wiley +1 more source
A Robust Multi‐Oriented License Plate Detector and A Derived End‐to‐End License Plate Recognizer
This is a research paper on license plate detection and recognition. A new center‐aware license plate detection and end‐to‐end license plate recognition framework is proposed for robust and efficient license plate detection and recognition under unconstrained scenarios.
Xudong Fan, Wei Zhao
wiley +1 more source
This paper presents an efficient adversarial attack method based on generative adversarial networks (GANs) to spoof deepfake detectors.The proposed method combines a GAN branch and a binary classification branch in a two‐branch network model. A joint training strategy is employed to generate visually similar images to the originals while effectively ...
Huanhuan Bao +3 more
wiley +1 more source
Face detection is a computer vision task to identify and verify a person based on a photo of their face. Face detection and alignment in unconstrained environments are very challenging due to various poses, illumination, and occlusions. The human face is
Merry Anggraeni, Hillman Akhyar Damanik
semanticscholar +1 more source
Abstract Recent advances in generative artificial intelligence (AI) and multimodal learning analytics (MMLA) have allowed for new and creative ways of leveraging AI to support K12 students' collaborative learning in STEM+C domains. To date, there is little evidence of AI methods supporting students' collaboration in complex, open‐ended environments. AI
Clayton Cohn +5 more
wiley +1 more source
UAM‐Net: Robust Deepfake Detection Through Hybrid Attention Into Scalable Convolutional Network
ABSTRACT The recent advancements in computer vision have transformed data manipulation detection into a significantly challenging task. Deepfakes are advanced manipulation methods for generating highly convincing synthetic media wherein one digitally forges an individual's visuals.
Kerenalli Sudarshana +1 more
wiley +1 more source
Sistem kehadiran memegang peran penting dalam mengelola kehadiran individu di lembaga pendidikan dan organisasi. Namun, metode konvensional sering kali rentan terhadap manipulasi dan kurang efektif dalam menyelaraskan data identitas pengguna secara ...
Fharicsyah Fharicsyah +3 more
semanticscholar +1 more source
Advancements in Emotion Classification via Facial and Body Gesture Analysis: A Survey
ABSTRACT Machine vision has had a substantial impact on human‐computer interaction and psychological research. The ability of robots to generate realistic facial expressions has been enhanced by advancements in artificial intelligence, neural networks, and deep learning, thereby nurturing more profound emotive connections between humans and machines ...
Anjali Diwan +4 more
wiley +1 more source
Multimodal Biometrics: A Review of Handcrafted and AI–Based Fusion Approaches
As security threats continue to evolve, multimodal biometric recognition systems (MBRSs) have emerged as robust solutions for reliable user authentication. To the best of our knowledge, this study presents the first systematic literature review (SLR) specifically focused on MBRS based on physiological traits, combining traditional image processing ...
Hind Es-Sobbahi +3 more
wiley +1 more source
Smart education environments combine technologies such as big data, cloud computing, and artificial intelligence to optimize and personalize the teaching and learning process, thereby improving the efficiency and quality of education.
Zhao Wei, Qiu Liguo
doaj +1 more source

