Results 81 to 90 of about 2,792,706 (240)
Passive video forgery detection techniques: a survey
Technological advancement of various video and image processing tools has made tempering of digital video easy and faster. This review paper focuses on passive techniques that are employed for detecting forgeries in a digital video.
Kamel Ariffin, Muhammad Rezal +11 more
core +1 more source
FES‐derived MGE spheroids exhibit progenitor‐stage alterations in developmental trajectory and hypoxia‐responsive transcriptional programs, followed by functional disruption. Gestational hypoxia recapitulates impaired progenitor proliferation, shortened cell‐cycle progression, interneuron developmental abnormalities, and schizophrenia‐like behaviors in
Peiyan Ni +17 more
wiley +1 more source
Image forgery detection using deep learning techniques [PDF]
Lisansüstü Eğitim Enstitüsü, Elektrik-Elektronik Mühendisliği Ana Bilim DalıSayısal görüntü işlemede kullanılan yazılım araçlarının ilerlemesinin neticesinde görüntüler üzerinde çeşitli manipülasyonlar yapılarak sahte görüntüler oluşturmak çok basit bir ...
Korkmaz, Ahmet
core
This work demonstrates a novel energy regulation strategy using the long‐lived S₁ state as a “kinetic capacitor” to achieve temporally decoupled integration of photoinduced deformation and multicolor fluorescence in naphthalimide‐functionalized carbon dots. This dual‐channel programmable shunting of excited‐state energy establishes a dynamic single‐use
Jianye Zhang +6 more
wiley +1 more source
Region Duplication Forgery Detection Technique Based on SURF and HAC
Region duplication forgery detection is a special type of forgery detection approach and widely used research topic under digital image forensics. In copy move forgery, a specific area is copied and then pasted into any other region of the image.
Parul Mishra +3 more
doaj +1 more source
A nickel‐catalyzed three‐component reductive fluoroalkylation‐amination strategy of N‐vinylamides for the direct access to the α‐amidyl‐β‐difluoroalkyl amines was reported here. The synthetic method features with broad substrate scope, mild conditions, high functional group tolerance, and convenience to handle.
Chang Xu +8 more
wiley +1 more source
Machine Learning-based Image Forgery Detection [PDF]
openImage manipulation tools are constantly improving. Most recently, the productization of generative models in popular software like Adobe Photoshop provided a whole new range of possibilities.
ELFES, JAN
core
A solvation‐guided design strategy for electrolyte additives is established, identifying Li‐ion binding energy as a crucial determinant for effective interface reinforcement. ABSTRACT The rational design of electrolyte systems is essential for stabilizing the electrode−electrolyte interface to enhance the electrochemical performance of lithium‐ion ...
Jooeun Byun +6 more
wiley +1 more source
Deep Convolutional Neural Network for Robust Detection of Object-Based Forgeries in Advanced Video
Video forgery detection is a critical aspect of digital forensics, addressing the challenges posed by the manipulation of video content. This paper presents a novel approach for video forgery detection using Deep Convolutional Neural Networks (DCNN ...
Ahmad A. Mazhar +6 more
doaj +1 more source
Digital image and videos cannot be taken as authentic evidences, since their integrity is no longer trustworthy. Because of the uniqueness and peculiarities of video signals with respect to images, there are wider ranges of possible alterations that ...
Mathai, Mareeta
core

