A novel trust-based security and privacy model for internet of vehicles using encryption and steganography

MS Rathore, M Poongodi, P Saurabh… - Computers and …, 2022 - Elsevier
High-speed wireless network technologies play a vital role in autonomous vehicle
communication systems (AVS), ie, IoV (Internet of Vehicles), and enhance the effectiveness …

Image data hiding schemes based on metaheuristic optimization: a review

A Melman, O Evsutin - Artificial Intelligence Review, 2023 - Springer
The digital content exchange on the Internet is associated with information security risks.
Hiding data in digital images is a promising direction in data protection and is an alternative …

Review on diabetic retinopathy with deep learning methods

S Shekar, N Satpute, A Gupta - Journal of Medical Imaging, 2021 - spiedigitallibrary.org
Purpose: The purpose of our review paper is to examine many existing works of literature
presenting the different methods utilized for diabetic retinopathy (DR) recognition employing …

A novel multi‐image visually meaningful encryption algorithm based on compressive sensing and Schur decomposition

G Ye, C Pan, Y Dong, K Jiao… - Transactions on …, 2021 - Wiley Online Library
Image encryption algorithm is an important telecommunication technology for protecting
personal security. In this article, we propose a novel multi‐image visual encryption algorithm …

Can artificial intelligence enable the government to respond more effectively to major public health emergencies?——taking the prevention and control of Covid-19 in …

L Zhu, P Chen, D Dong, Z Wang - Socio-Economic Planning Sciences, 2022 - Elsevier
In recent years, public health emergencies have occurred frequently, posing a serious threat
to the regional economy and the safety of people's lives and property. In particular, the …

A Low Complex and Scalable Reconfigurable Simulation for Orthogonal Approximation using DCT

MA Sreema, N Muthukumaran - 2021 2nd International …, 2021 - ieeexplore.ieee.org
Guess of Discrete Cosine Transform (DCT) is valuable for diminishing its computational
intricacy without critical effect on its coding execution. This paper presents a summed up …

Pulmonary diffuse airspace opacities diagnosis from chest X-ray images using deep convolutional neural networks fine-tuned by whale optimizer

X Wang, C Gong, M Khishe, M Mohammadi… - Wireless Personal …, 2022 - Springer
The early diagnosis and the accurate separation of COVID-19 from non-COVID-19 cases
based on pulmonary diffuse airspace opacities is one of the challenges facing researchers …

Acoustic detection and recognition of dolphins using swarm intelligence neural networks

J Wu, M Khishe, M Mohammadi, SHT Karim… - Applied Ocean …, 2021 - Elsevier
Detecting and recognizing marine mammals have found serious attention recently, given the
inhomogeneous underwater sound propagation environment. Meanwhile, the emphasis on …

A novel approach for multimodality medical image fusion over secure environment

P Kumar, M Diwakar - Transactions on Emerging …, 2021 - Wiley Online Library
An emerging trend to deal with the issue of multimodality medical image fusion over the
secure communication environment is required. Hence, this paper presents a human visual …

Diagnosis from CT scan images in complex biological media using deep learning and wave application: a Hunger Games search-based approach

X Wang, D Chang, T Shi, G Fan… - Waves in Random and …, 2024 - Taylor & Francis
Deep Convolutional Neural Networks (DCNNs) are robust models in image processing, real-
time processing has become challenging due to their complicated architecture. In order to …