Results 81 to 90 of about 1,249,257 (239)

Can Deep Network Balance Copy-Move Forgery Detection and Distinguishment?

, 2023
Copy-move forgery detection is a crucial research area within digital image forensics, as it focuses on identifying instances where objects in an image are duplicated and placed in different locations.
Chang, Shizhen
core  

From development to dissection: A coaching‐focused workshop for anatomy educators from the viewpoint of the coaches

Anatomical Sciences Education, EarlyView.
Abstract The use of different coaching models can provide an effective environment for skill learning. The Anatomical Donor Stewardship (ADS) Coaching subcommittee, within the Human Anatomy and Physiology Society (HAPS), developed and held an inaugural Coaching workshop for human anatomical dissection for HAPS members at the 2025 HAPS Annual Conference
Danielle N. Edwards, Bobbie J. Leeper, Kelsey E. Stevens, Jonathan J. Wisco, Abbey Breckling, Rhiannon E. Robinson, Jeremy J. Grachan   +6 more
wiley   +1 more source

State of the art in passive digital image forgery detection: copy-move image forgery

, 2018
Authenticating digital images is increasingly becoming important because digital images carry important information and due to their use in different areas such as courts of law as essential pieces of evidence.
Sadeghi, Somayeh, Jalab, Hamid Abdullah, Mazzola, Giuseppe, Uliyan, Diaa Mohammed, Dadkhah, Sajjad   +4 more
core   +3 more sources

The situated professional: Preservice teachers' profiling of globally competent teachers and visions of their ‘possible professional self’

British Educational Research Journal, EarlyView.
Abstract In response to globalisation, teacher education programmes worldwide are tasked with preparing globally competent teachers (GCTs). Prevailing conceptions of global competence are largely derived from Western‐centric humanistic, neoliberal and transformative narratives, creating a complex landscape for teacher identity formation.
Ji Ying
wiley   +1 more source

Digital Technologies for Transparent and Sustainable Supply Chain Management: A Resource Orchestration‐Based View in the Textile Industry

Business Strategy and the Environment, EarlyView.
ABSTRACT Implementing digital technologies is touted as the next big step for the firms aiming to improve sustainability in their supply chains. These technologies are often credited with the potential to improve transparency and achieve sustainability.
Amna Farrukh, Aqeel Ahmed, Sadaat Yawar
wiley   +1 more source

A Novel RINBP-DCT-Based Copy Move Forgery Detection Method Against Post-Processing Attacks

IEEE Access
Digital images are widely used for information sharing, making them increasingly vulnerable to malicious manipulations. Among different types of image tampering, copy move forgery is one of the most common techniques, where a region of an image is ...
Bilgehan Gurunlu, Serkan Ozturk
doaj   +1 more source

Advancements in CNN-Based Techniques for Robust Image Forgery Detection: Challenges and Future Directions [PDF]

E3S Web of Conferences
In response to the rise of manipulated images online, which are often obscured by compression and resizing, effective forgery detection systems have become essential.
C Raghavendra, Dodda Ratnam, Sake Madhu, Nimmala Satyanarayana   +3 more
doaj   +1 more source

Copy-Move Forgery Detection (CMFD) Using Deep Learning for Image and Video Forensics. [PDF]

J Imaging, 2021
Rodriguez-Ortega Y, Ballesteros DM, Renza D.   +2 more
europepmc   +1 more source

Eco‐Innovation, Economic Complexity, and Sustainability: A Bibliometric and Systematic Literature Review

Business Strategy and the Environment, EarlyView.
ABSTRACT This study systematizes the literature on eco‐innovation and economic complexity, aiming to understand how the sophistication of productive structures shapes countries' capacity to develop environmentally responsible innovations, and how eco‐innovation may, in turn, influence productive sophistication.
Gregory Matheus Pereira de Moraes, Diogo Ferraz   +1 more
wiley   +1 more source

Corrections to “Copy-Move Forgery Detection Technique Using Graph Convolutional Networks Feature Extraction”

IEEE Access
Presents corrections to the paper, (Corrections to “Copy-Move Forgery Detection Technique Using Graph Convolutional Networks Feature Extraction”).
Varun Shinde, Vineet Dhanawat, Ahmad Almogren, Anjanava Biswas, Muhammad Bilal, Rizwan Ali Naqvi, Ateeq Ur Rehman   +6 more
doaj   +1 more source