Results 41 to 50 of about 13,991,852 (286)
Advanced Functional Materials, EarlyView.Chiral dopants induce supramolecular chirality in an achiral polymer (PFO), generating spin‐polarized carriers via the chiral‐induced spin selectivity (CISS) and suggesting a possible contribution of Spin‐polarized carrier transport to circularly polarized electroluminescence (CPEL).
Kazuyuki Asahi +4 more
wiley +1 more source
Region Duplication Forgery Detection Technique Based on SURF and HAC
The Scientific World Journal, 2013 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
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DRRU-Net: DCT-Coefficient-Learning RRU-Net for Detecting an Image-Splicing Forgery
Applied Sciences, 2023 In this paper, we propose a lightweight deep learning network (DRRU-Net) for image-splicing forgery detection. DRRU-Net is an architecture that combines RRU-Net for learning the visual content of images and image acquisition artifacts, and a JPEG ...
Youngmin Seo, Joongjin Kook
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Advancements in CNN-Based Techniques for Robust Image Forgery Detection: Challenges and Future Directions [PDF]
E3S Web of ConferencesIn 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 +3 more
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, 2022 The image forgery process deformed the reputation of digital multimedia data in the era of internet technology. The availability of image editing software promotes the activity of image forgery.
Bokefode Shudhodhan Balbhim, Harsh Mathur
core +1 more source
Advanced Healthcare Materials, EarlyView.Recent advances in microfluidic technologies for microgel fabrication are critically reviewed, highlighting the capabilities and limitations of major microfluidic platforms and discussing how platform design, material selection, and crosslinking strategies influence microgel architecture and functionality. Current challenges and future opportunities in
Afshin Abrishamkar +6 more
wiley +1 more source
Multiple Image Splicing Dataset (MISD): A Dataset for Multiple Splicing
Data, 2021 Image forgery has grown in popularity due to easy access to abundant image editing software. These forged images are so devious that it is impossible to predict with the naked eye. Such images are used to spread misleading information in society with the
Kalyani Dhananjay Kadam +2 more
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Data‐Driven Materials Science for Energy‐Sustainable Applications
Advanced Materials, EarlyView.Data‐driven approaches powered by artificial intelligence are transforming materials discovery for energy sustainability. This review examines how auto‐generated high‐quality materials databases and domain‐specific language models accelerate research in photovoltaics, thermoelectrics, batteries and magnetic materials. Applications involve extraction of
Jacqueline M. Cole
wiley +1 more source
Optimization of a Pre-Trained AlexNet Model for Detecting and Localizing Image Forgeries
Information, 2020 With the advance of many image manipulation tools, carrying out image forgery and concealing the forgery is becoming easier. In this paper, the convolution neural network (CNN) innovation for image forgery detection and localization is discussed. A novel
Soad Samir +3 more
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Copy-move forgery detection using binary discriminant features
Journal of King Saud University: Computer and Information Sciences, 2022 Digital images have numerous applications in various fields such as cyber forensics, courts, newspapers, magazines, medical field and many more. Therefore, the trustfulness of the contents of an image is very essential. Image manipulation has become very
Priya Mariam Raju, Madhu S. Nair
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