Results 191 to 200 of about 224,759 (272)

Robust steganographic framework for securing sensitive healthcare data of telemedicine using convolutional neural network

open access: yesCAAI Transactions on Intelligence Technology, EarlyView.
Abstract Data is the key element that runs the modern society. Large amounts of data are being released day by day as a result of many activities. The digital data is transferred through the Internet which may be vulnerable to attacks while transmitting. Especially, the medical data is observed to be of at most importance.
Rupa Ch   +4 more
wiley   +1 more source

DrLS: Distortion‐Resistant Lossless Steganography via Colour Depth Interpolation

open access: yesCAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT The lossless data steganography is to hide a certain amount of information into a container image. Previous lossless steganography methods fail to strike a balance between capacity, imperceptibility, accuracy, and robustness, commonly vulnerable to distortion on container images.
Youmin Xu   +3 more
wiley   +1 more source

Correlated Transient Response of Buried Cables and Lightning Channel Radiation of Return Strokes of Five Rocket‐Triggered Lightning Strikes

open access: yesHigh Voltage, EarlyView.
ABSTRACT Data from five rocket‐triggered lightning flashes are adopted to analyse the correlated transient response of buried cables and lightning channel radiations. These five flashes have the same termination point that is right above the buried cables and involve a total of 32 return strokes.
Mi Zhou   +9 more
wiley   +1 more source

A secure and imperceptible communication system for sharing co-ordinate data. [PDF]

open access: yesSci Rep
Bidwe R   +5 more
europepmc   +1 more source

Navigating complexity: A relational perspective on generative AI adoption in government

open access: yesAustralian Journal of Public Administration, EarlyView.
Abstract This research note presents preliminary findings from exploratory research examining how Australian public servants understand and use generative AI (GenAI) in government work. Drawing on 37 interviews across 22 agencies, we highlight the importance of a relational view of GenAI adoption, that is, the co‐creation of meanings that emerges from ...
Shibaab Rahman   +4 more
wiley   +1 more source

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