Results 91 to 100 of about 2,568 (189)

Facial and Neck Region Analysis for Deepfake Detection Using Remote Photoplethysmography Signal Similarity

open access: yesIET Biometrics, Volume 2024, Issue 1, 2024.
Deepfake (DF) involves utilizing artificial intelligence (AI) technology to synthesize or manipulate images, voices, and other human or object data. However, recent times have seen a surge in instances of DF technology misuse, raising concerns about cybercrime and the credibility of manipulated information.
Byeong Seon An   +4 more
wiley   +1 more source

Removing the anonymity axiom in assessing pro-poor growth [PDF]

open access: yes
The recent focus on ‘pro-poor growth’ led also to an intense debate on how exactly to define and to measure pro-poor growth. However, all suggested measures, irrespective whether they use the absolute or the relative definition of pro-poor growth have in
Michael Grimm
core  

FLDATN: Black‐Box Attack for Face Liveness Detection Based on Adversarial Transformation Network

open access: yesInternational Journal of Intelligent Systems, Volume 2024, Issue 1, 2024.
Aiming at the shortcomings of the current face liveness detection attack methods in the low generation speed of adversarial examples and the implementation of white‐box attacks, a novel black‐box attack method for face liveness detection named as FLDATN is proposed based on adversarial transformation network (ATN).
Yali Peng   +4 more
wiley   +1 more source

Pro Poor Growth in Pakistan: An Assessment of the 1970s, 1980s, 1990s and 2000s [PDF]

open access: yes
This study assesses the impact of economic growth on absolute poverty in Pakistan over the last four decades. The paper attempts to answer the question; is economic growth in Pakistan pro poor? In addition, an attempt is made to evaluate the distribution
Jafri, Sarah, Omer, Muhammad
core   +1 more source

Contactless Pulse Rate Assessment: Results and Insights for Application in Driving Simulators

open access: yesApplied Sciences
Remote photoplethysmography (rPPG) offers a promising solution for non-contact driver monitoring by detecting subtle blood flow-induced facial color changes from video. However, motion artifacts in dynamic driving environments remain key challenges. This
Đorđe D. Nešković   +3 more
doaj   +1 more source

POTENCIAL ANTAGÔNICO DE Pseudomonas DO GRUPO FLUORESCENTE ISOLADA NO PLANALTO CATARINENSE NO CONTROLE DE Ditylenchus spp. E Meloidogyne javanica [PDF]

open access: yes, 2015
TCC (graduação)- Universidade Federal de Santa Catarina. Campus Curitibanos. Agronomia.Pseudomonas do grupo fluorescente são consideradas Rizobactérias Promotora de Crescimento Vegetal (RPCV) por apresentar diversos mecanismos de ação, como promoção de ...
Turatto, Marcielly Fleck
core  

What Remote PPG Oximetry Tells Us about Pulsatile Volume?

open access: yesBiomedicines
While pulse oximetry using remote photoplethysmography (rPPG) is used in medicine and consumer health, sound theoretical foundations for this methodology are not established.
Gennadi Saiko
doaj   +1 more source

Evaluation of video-based rPPG in challenging environments: Artifact mitigation and network resilience

open access: yesComputers in Biology and Medicine
Video-based remote photoplethysmography (rPPG) has emerged as a promising technology for non-contact vital sign monitoring, especially under controlled conditions. However, the accurate measurement of vital signs in real-world scenarios faces several challenges, including artifacts induced by videocodecs, low-light noise, degradation, low dynamic range,
Álvarez Casado Constantino   +5 more
openaire   +4 more sources

TDA-Phys: Temporal Difference Adaptation of Video Foundation Model for Remote Photoplethysmography

open access: yesApplied Sciences
Remote photoplethysmography (rPPG) enables noncontact estimation of vital signs, particularly heart rate, by analyzing subtle periodic skin color variations in facial videos.
Wei Chen   +4 more
doaj   +1 more source

A Comparison of Convolutional Neural Network Transfer Learning Regression Models for Remote Photoplethysmography Signal Estimation

open access: yesAI
This study explores the extraction of remote Photoplethysmography (rPPG) signals from images using various neural network architectures, addressing the challenge of accurate signal estimation in biomedical contexts.
Jana Sturekova   +3 more
doaj   +1 more source

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