Automated detection and forecasting of covid-19 using deep learning techniques: A review

A Shoeibi, M Khodatars, M Jafari, N Ghassemi… - Neurocomputing, 2024 - Elsevier
Abstract In March 2020, the World Health Organization (WHO) declared COVID-19 a global
epidemic, caused by the SARS-CoV-2 virus. Initially, COVID-19 was diagnosed using real …

Deep learning for medical image cryptography: A comprehensive review

K Lata, LR Cenkeramaddi - Applied Sciences, 2023 - mdpi.com
Electronic health records (EHRs) security is a critical challenge in the implementation and
administration of Internet of Medical Things (IoMT) systems within the healthcare sector's …

Optimizing traffic flow in smart cities: Soft GRU-based recurrent neural networks for enhanced congestion prediction using deep learning

SM Abdullah, M Periyasamy, NA Kamaludeen… - Sustainability, 2023 - mdpi.com
Recently, different techniques have been applied to detect, predict, and reduce traffic
congestion to improve the quality of transportation system services. Deep learning (DL) is …

[HTML][HTML] Empowering covid-19 detection: Optimizing performance through fine-tuned efficientnet deep learning architecture

MA Talukder, MA Layek, M Kazi, MA Uddin… - Computers in Biology …, 2024 - Elsevier
The worldwide COVID-19 pandemic has profoundly influenced the health and everyday
experiences of individuals across the planet. It is a highly contagious respiratory disease …

A Novel partial sequence technique based Chaotic biogeography optimization for PAPR reduction in generalized frequency division multiplexing waveform

X Xue, SK Palanisamy, A Manikandan, DS Selvaraj… - Heliyon, 2023 - cell.com
Abstract For Orthogonal Frequency Division Multiplexing (OFDM) systems, the most
significant problem is the peak-to-average power ratio. The utilisation of partial transmission …

[HTML][HTML] Soft computing approach on estimating the lateral confinement coefficient of CFRP veiled circular columns

X Xue, GM Abdulsahib, OI Khalaf, J Jagan… - Alexandria Engineering …, 2023 - Elsevier
For any structures, Reinforced concrete (RC) columns are the utmost carping members. RC
columns jacketed with CFRP membrane enhance resistance, deformation aptitude, and the …

[HTML][HTML] Analysis of electrically couple SRR EBG structure for sub 6 GHz wireless applications

I Jebril, P Dhanaraj, GM Abdulsahib… - … in decision sciences, 2022 - journal.asia.edu.tw
Purpose–For 5G wireless communication at frequencies below 6 GHz, this research
describes an electromagnetic bandgap (EBG) structure based on an electrically coupled …

The external exchange rate volatility influence on the trade flows: Evidence from nonlinear ARDL model

E Imane, BH Chang, TA Elsherazy… - Advances in Decision …, 2023 - ideas.repec.org
[Purpose] Major trade partners of China, including Germany, Korea, the United Kingdom, the
Netherlands, Malaysia, and Mexico, are examined in the research to see how currency …

Health recommendation system using deep learning-based collaborative filtering

P Chinnasamy, WK Wong, AA Raja, OI Khalaf, A Kiran… - Heliyon, 2023 - cell.com
The crucial aspect of the medical sector is healthcare in today's modern society. To analyze
a massive quantity of medical information, a medical system is necessary to gain additional …

[PDF][PDF] Design of Artificial Magnetic Conductor based Stepped V-shaped Printed multiband antenna for Wireless Applications.

SK Palanisamy, GM Abdulsahib, OI Khalaf… - International Journal of …, 2023 - i-csrs.org
Antenna selection is a decision-making problem involving multiple factors, some of which
may be at odds. This study aimed to develop a model for optimizing the design process for …