Results 41 to 50 of about 78,869 (258)
IEEE AccessDigital image forensics aims to verify the authenticity of an image by determining its origin and any processing it has undergone. Among passive approaches in copy move forgery detection, which analyze images without requiring prior embedded information,
Tanzeela Qazi +6 more
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CNN-Based Copy-Move Forgery Detection Using Rotation-Invariant Wavelet Feature
IEEE Access, 2022 This paper introduces a machine learning based copy-move forgery (CMF) localization method. The basic convolutional neural network cannot be applied to CMF detection because CMF frequently involves rotation transformation.
Sang In Lee, Jun Young Park, Il Kyu Eom
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Determining Parental Factors for Clinical Trial Attrition in Pediatric Acute Lymphoblastic Leukemia
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background/Objectives Despite high enrollment rates on Children's Oncology Group (COG) protocols, attrition after initial consent is challenging, introducing bias and prolonging trial completion. While adult oncology literature has identified predictors of withdrawal, little is known about caregiver decision‐making for child participation in ...
Kimberly L. Stathas +3 more
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Detection of copy-move forgery in digital images using genetic algorithm and simulating annealing algorithm [PDF]
پژوهشهای نظری و کاربردی هوش ماشینیIn copy-move forgery a part of the image is copied and transferredto another location in the same image. This is done with the aim ofhiding certain details from the image or duplicating special effectsin the image.
Fatemeh Zare Mehrjardi +1 more
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Detecting Splicing and Copy-Move Attacks in Color Images
2018 Digital Image Computing: Techniques and Applications (DICTA), 2018 Image sensors are generating limitless digital images every day. Image forgery like splicing and copy-move are very common type of attacks that are easy to execute using sophisticated photo editing tools. As a result, digital forensics has attracted much attention to identify such tampering on digital images.
Mohammad Manzurul Islam +5 more
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Protein pyrophosphorylation by inositol pyrophosphates — detection, function, and regulation
FEBS Letters, EarlyView.Protein pyrophosphorylation is an unusual signaling mechanism that was discovered two decades ago. It can be driven by inositol pyrophosphate messengers and influences various cellular processes. Herein, we summarize the research progress and challenges of this field, covering pathways found to be regulated by this posttranslational modification as ...
Sarah Lampe +3 more
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CNN-Keypoint Based Two-Stage Hybrid Approach for Copy-Move Forgery Detection
IEEE AccessAuthenticating digital images poses a significant challenge due to the widespread use of image forgery techniques, including copy-move forgery. Copy-move forgery involves copying and pasting portions of an image within the same image while applying ...
Anjali Diwan, Anil K. Roy
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Structural insights into an engineered feruloyl esterase with improved MHET degrading properties
FEBS Letters, EarlyView.A feruloyl esterase was engineered to mimic key features of MHETase, enhancing the degradation of PET oligomers. Structural and computational analysis reveal how a point mutation stabilizes the active site and reshapes the binding cleft, expading substrate scope.
Panagiota Karampa +5 more
wiley +1 more source
FEBS Letters, EarlyView.Plasma membranes contain dynamic nanoscale domains that organize lipids and receptors. Because viruses operate at similar scales, this architecture shapes early infection steps, including attachment, receptor engagement, and entry. Using influenza A virus and HIV‐1 as examples, we highlight how receptor nanoclusters, multivalent glycan interactions ...
Jan Schlegel, Christian Sieben
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Passive Image Forgery Detection Based on the Demosaicing Algorithm and JPEG Compression
IEEE Access, 2020 Multimedia files play an important role in everyday life. Today, the majority of the population owns state-of-the-art cameras integrated into their mobile devices.
Esteban Alejandro Armas Vega +3 more
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