Convolutional neural networks or vision transformers: Who will win the race for action recognitions in visual data?

O Moutik, H Sekkat, S Tigani, A Chehri, R Saadane… - Sensors, 2023 - mdpi.com
Understanding actions in videos remains a significant challenge in computer vision, which
has been the subject of several pieces of research in the last decades. Convolutional neural …

[HTML][HTML] A survey of convolutional neural network in breast cancer

Z Zhu, SH Wang, YD Zhang - Computer modeling in engineering & …, 2023 - ncbi.nlm.nih.gov
Aims A large number of clinical trials have proved that if breast cancer is diagnosed at an
early stage, it could give patients more treatment options and improve the treatment effect …

A hybrid deep learning model for brain tumour classification

M Rasool, NA Ismail, W Boulila, A Ammar, H Samma… - Entropy, 2022 - mdpi.com
A brain tumour is one of the major reasons for death in humans, and it is the tenth most
common type of tumour that affects people of all ages. However, if detected early, it is one of …

[HTML][HTML] Data science and machine learning in the IIoT concepts of power plants

SD Milić, Ž Đurović, MD Stojanović - … Journal of Electrical Power & Energy …, 2023 - Elsevier
Smart power plants are no longer just futuristic ideas but are rapidly becoming a reality, and
for this to be achievable, an application of artificial intelligence in Industrial Internet of Things …

A novel approach for classifying brain tumours combining a squeezenet model with svm and fine-tuning

M Rasool, NA Ismail, A Al-Dhaqm, WMS Yafooz… - Electronics, 2022 - mdpi.com
Cancer of the brain is most common in the elderly and young and can be fatal in both. Brain
tumours can heal better if they are diagnosed and treated quickly. When it comes to …

Enhancing privacy‐preserving mechanisms in Cloud storage: A novel conceptual framework

A Mishra, TS Jabar, YI Alzoubi… - … Practice and Experience, 2023 - Wiley Online Library
Data privacy is critical for users who want to use Cloud storage services. There is a
significant focus on Cloud service providers to address this need. However, in the evolving …

Innovating Real Fisheye Image Correction with Dual Diffusion Architecture

S Yang, C Lin, K Liao, Y Zhao - Proceedings of the IEEE …, 2023 - openaccess.thecvf.com
Fisheye image rectification is hindered by synthetic models producing poor results for real-
world correction. To address this, we propose a Dual Diffusion Architecture (DDA) for fisheye …

Digitalization of traffic scenes in support of intelligent transportation applications

L Lu, F Dai - Journal of Computing in Civil Engineering, 2023 - ascelibrary.org
Digitalization of real-world traffic scenes is a fundamental task in development of digital
twins of road transportation. However, the existing digitalization approaches are either …

FPGA implementation of AES algorithm for high speed applications

SSS Priya, P Karthigaikumar, NR Teja - Analog Integrated Circuits and …, 2022 - Springer
The main objective of this paper is to design and implement High throughput, area efficient
AES encryption algorithm on FPGA for security purposes. The high speed and area …

Label-free anomaly detection using distributed optical fiber acoustic sensing

Y Xie, M Wang, Y Zhong, L Deng, J Zhang - Sensors, 2023 - mdpi.com
Deep learning anomaly detection is important in distributed optical fiber acoustic sensing
(DAS). However, anomaly detection is more challenging than traditional learning tasks, due …