Engineered two-dimensional nanomaterials based diagnostics integrated with internet of medical things (IoMT) for COVID-19

MA Sadique, S Yadav, R Khan… - Chemical Society …, 2024 - pubs.rsc.org
More than four years have passed since an inimitable coronavirus disease (COVID-19)
pandemic hit the globe in 2019 after an uncontrolled transmission of the severe acute …

Stock price prediction through GRA-WD-BiLSTM model with air quality and weather factors

B Liu, J Pei, Z Yu - International Journal of Machine Learning and …, 2024 - Springer
Accurately predicting stock prices is crucial for reducing investment-related risks in decision-
making. Contemporary challenges to financial behavior, posed by environmental issues …

[HTML][HTML] Smart hydropower management: utilizing machine learning and deep learning method to enhance dam's energy generation efficiency

ME Sahin, M Ozbay Karakus - Neural Computing and Applications, 2024 - Springer
Renewable energy sources and hydroelectric power generation in large parts of the
electricity market are crucial as environmental pollution worsens. Utilizing meteorological …

[HTML][HTML] Exploring transfer learning in chest radiographic images within the interplay between COVID-19 and diabetes

M Shoaib, N Sayed, B Shah, T Hussain… - Frontiers in Public …, 2023 - frontiersin.org
The intricate relationship between COVID-19 and diabetes has garnered increasing
attention within the medical community. Emerging evidence suggests that individuals with …

Segmentation of 3d medical images for detection and classification of lung tumor using content-based features

M Heidari, V Mehrdad - Multimedia Tools and Applications, 2024 - Springer
Lung cancer is one of the most fatal types of lung disease, in which early detection of this
cancer can prevent its dangerous consequences. This paper presents a method for the …

SCOV-CNN: A Simple CNN Architecture for COVID-19 Identification Based on the CT Images

T Haryanto, H Suhartanto, A Murni, K Kusmardi… - … : International Journal on …, 2024 - joiv.org
Since the coronavirus was first discovered in Wuhan, it has widely spread and was finally
declared a global pandemic by the WHO. Image processing plays an essential role in …

OPEN ACCESS EDITED BY

PK Prabhakar, D Tunnicliffe, A Kalhan… - … Approaches in the …, 2023 - books.google.com
Methods: In this study, we used a fixed dynamic time scale to explore the stability of dynamic
functional architecture in T2DM, then the dynamic effective connectivity (dEC) was used to …

Χρήση τεχνικών μηχανικής μάθησης για την ανάλυση ιατρικών εικόνων με στόχο την υποβοήθηση στη διάγνωση της λοίμωξης COVID-19

Σ Ψαραύτης-Σουράνης - 2023 - polynoe.lib.uniwa.gr
Η ραγδαία εξέλιξη της τεχνολογίας έχει ως αποτέλεσμα το επιστημονικό πεδίο που ονομάζεται
επιστήμη των υπολογιστών να βρίσκει εφαρμογές σε ολοένα και περισσότερους τομείς. Ένας …

Diagnosis of Covid-19 using optimized convolutional neural network

MH Fatehi, M Taghizadeh, MM Moradi… - journal of Artificial …, 2023 - journals.iau.ir
According to the report of the World Health Organization, corona disease is the most
dangerous and contagious disease in the world. Currently, the most common method used …