[PDF][PDF] Intelligent metaphotonics empowered by machine learning

S Krasikov, A Tranter, A Bogdanov… - Opto-Electronic …, 2022 - researching.cn
In the recent years, a dramatic boost of the research is observed at the junction of photonics,
machine learning and artificial intelligence. A new methodology can be applied to the …

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 …

[HTML][HTML] Stroke risk prediction with machine learning techniques

E Dritsas, M Trigka - Sensors, 2022 - mdpi.com
A stroke is caused when blood flow to a part of the brain is stopped abruptly. Without the
blood supply, the brain cells gradually die, and disability occurs depending on the area of …

[HTML][HTML] RETRACTED ARTICLE: Integration of Healthcare 4.0 and blockchain into secure cloud-based electronic health records systems

HB Mahajan, AS Rashid, AA Junnarkar, N Uke… - Applied …, 2023 - Springer
Since the last decade, cloud-based electronic health records (EHRs) have gained significant
attention to enable remote patient monitoring. The recent development of Healthcare 4.0 …

RETRACTED ARTICLE: Deepfake detection using rationale-augmented convolutional neural network

SRA Ahmed, E Sonuç - Applied Nanoscience, 2023 - Springer
Deepfake network is a prominent topic of research as an application to various systems
about security measures. Although there have been many recent advancements in facial …

[HTML][HTML] A MobileNet-based CNN model with a novel fine-tuning mechanism for COVID-19 infection detection

Y Kaya, E Gürsoy - Soft Computing, 2023 - Springer
COVID-19 is a virus that causes upper respiratory tract and lung infections. The number of
cases and deaths increased daily during the pandemic. Once it is vital to diagnose such a …

Fish quality evaluation by sensor and machine learning: A mechanistic review

R Saeed, H Feng, X Wang, X Zhang, Z Fu - Food Control, 2022 - Elsevier
Fish, a major portion of the global food production, is highly nutritious, perishable, and
susceptible to pre-harvest and postmortem factors. Conventional methods are laborious …

[HTML][HTML] Review on the evaluation and development of artificial intelligence for COVID-19 containment

MM Hasan, MU Islam, MJ Sadeq, WK Fung, J Uddin - Sensors, 2023 - mdpi.com
Artificial intelligence has significantly enhanced the research paradigm and spectrum with a
substantiated promise of continuous applicability in the real world domain. Artificial …

The optimization efficient energy cooperative communication image transmission over WSN

ST Abbas, HJ Mohammed, JS Ahmed, AS Rashid… - Applied …, 2021 - Springer
We propose energy efficiency and quality-aware multi-hop one-way cooperative image
transmission framework based on image pre-processing technique, wavelet-based two …

[HTML][HTML] Machine learning and deep learning approach for medical image analysis: diagnosis to detection

M Rana, M Bhushan - Multimedia Tools and Applications, 2023 - Springer
Computer-aided detection using Deep Learning (DL) and Machine Learning (ML) shows
tremendous growth in the medical field. Medical images are considered as the actual origin …