[HTML][HTML] Enhanced computer vision applications with blockchain: A review of applications and opportunities

N Ottakath, A Al-Ali, S Al-Maadeed, O Elharrouss… - Journal of King Saud …, 2023 - Elsevier
Videos and image processing have significantly transformed computer vision, enabling
computers to analyse, and manipulate visual data. The proliferation of cameras and IR …

Latest trends in deep learning techniques for image steganography

V Kumar, S Sharma, C Kumar… - International Journal of …, 2023 - igi-global.com
The development of deep convolutional neural networks has been largely responsible for
the significant strides forward made in steganography over the past decade. In the field of …

High capacity data hiding based on multi-directional pixel value differencing and decreased difference expansion

PC Mandal, I Mukherjee - Multimedia Tools and Applications, 2022 - Springer
Data hiding is an important research topic over the years. The PVD based techniques
embed secret data into the cover image on the difference between the two neighboring …

[HTML][HTML] FFSDF: An improved fast face shadow detection framework based on channel spatial attention enhancement

H Zhou, J Yi - Journal of King Saud University-Computer and …, 2023 - Elsevier
Recent shadow detectors excel on simple datasets but encounter difficulties with facial
shadow images under complex lighting due to the lack of annotated shadow masks, varying …

[HTML][HTML] Image steganography performance analysis using discrete wavelet transform and alpha blending for secure communication

SS Tevaramani, J Ravi - Global Transitions Proceedings, 2022 - Elsevier
The opportunities to exchange information in the current web era have risen. The increased
popularity of the media has posed real challenges to security-related issues. Steganography …

Carbon-based molecular properties efficiently predicted by deep learning-based quantum chemical simulation with large language models

H Wang, B Chen, H Sun, Y Zhang - Computers in Biology and Medicine, 2024 - Elsevier
The prediction of thermodynamic properties of carbon-based molecules based on their
geometrical conformation using fluctuation and density functional theories has achieved …

DeepNphos: A deep-learning architecture for prediction of N-phosphorylation sites

X Chang, Y Zhu, Y Chen, L Li - Computers in Biology and Medicine, 2024 - Elsevier
Motivation Phosphorylation, a prevalent post-translational modification, plays a crucial role
in regulating cellular activities. This process encompasses O-phosphorylation (eg …

IS-DGM: an improved steganography method based on a deep generative model and hyper logistic map encryption via social media networks

MA Hameed, M Hassaballah, T Qiao - Multimedia Systems, 2024 - Springer
The exchange of information through social networking sites has become a major risk due to
the possibility of obtaining millions of subscribers' data at any time without the right …

[HTML][HTML] Secure and resilient improved image steganography using hybrid fuzzy neural network with fuzzy logic

S Dhawan, HK Bhuyan, SK Pani, V Ravi… - Journal of Safety …, 2024 - Elsevier
The exponential growth in communication networks, data technology, advanced libraries,
and mainly World Wide Web services has played a pivotal role in facilitating the retrieval of …

A High Quality Secure Medical Image Steganography Method

MA Hameed, M Hassaballah, S Bekhet… - … on Computing and …, 2023 - ieeexplore.ieee.org
The exchange of medical images over the Internet has prompted substantial claims on the
last years due to the presentation of cloud-based medical data systems according to various …