Deep learning for Covid-19 forecasting: State-of-the-art review.
The Covid-19 pandemic has galvanized scientists to apply machine learning methods to
help combat the crisis. Despite the significant amount of research there exists no …
help combat the crisis. Despite the significant amount of research there exists no …
A contemporary review on drought modeling using machine learning approaches
Drought is the least understood natural disaster due to the complex relationship of multiple
contributory factors. Its beginning and end are hard to gauge, and they can last for months or …
contributory factors. Its beginning and end are hard to gauge, and they can last for months or …
The economics of deep and machine learning-based algorithms for COVID-19 prediction, detection, and diagnosis shaping the organizational management of …
G Lăzăroiu, T Gedeon, E Rogalska… - Oeconomia …, 2024 - cejsh.icm.edu.pl
Research background: Deep and machine learning-based algorithms can assist in COVID-
19 image-based medical diagnosis and symptom tracing, optimize intensive care unit …
19 image-based medical diagnosis and symptom tracing, optimize intensive care unit …
Advanced data integration in banking, financial, and insurance software in the age of COVID‐19
This study contributes to our understanding of how the emergence of the COVID‐19
pandemic changes the global Banking Financial Services and Insurance (BFSI) landscape …
pandemic changes the global Banking Financial Services and Insurance (BFSI) landscape …
An innovative ensemble model based on deep learning for predicting COVID-19 infection
X Su, Y Sun, H Liu, Q Lang, Y Zhang, J Zhang… - Scientific Reports, 2023 - nature.com
Nowadays, global public health crises are occurring more frequently, and accurate
prediction of these diseases can reduce the burden on the healthcare system. Taking …
prediction of these diseases can reduce the burden on the healthcare system. Taking …
[HTML][HTML] Utilizing CNN-LSTM techniques for the enhancement of medical systems
COVID-19 is one of the most chronic and serious infections of recent years due to its
worldwide spread. Determining who was genuinely affected when the disease spreads …
worldwide spread. Determining who was genuinely affected when the disease spreads …
Fiber Bragg grating sensor-based temperature monitoring of solar photovoltaic panels using machine learning algorithms
S Dhanalakshmi, P Nandini, S Rakshit, P Rawat… - Optical fiber …, 2022 - Elsevier
Abstract Fiber Bragg Grating (FBG) sensors are an emerging and prominent optical sensing
technology of accurately measuring strain, depth, temperature, density, and several physical …
technology of accurately measuring strain, depth, temperature, density, and several physical …
[HTML][HTML] Blockchain for COVID-19: a comprehensive review
H Shah, M Shah, S Tanwar, N Kumar - Personal and Ubiquitous …, 2021 - ncbi.nlm.nih.gov
The rampant and sudden outbreak of the SARS-CoV-2 coronavirus also called COVID-19
and its uncontrollable spread have led to a global crisis. COVID-19 is a highly contagious …
and its uncontrollable spread have led to a global crisis. COVID-19 is a highly contagious …
Using machine learning methods to predict bone metastases in breast infiltrating ductal carcinoma patients
Breast cancer (BC) was the most common malignant tumor in women, and breast infiltrating
ductal carcinoma (IDC) accounted for about 80% of all BC cases. BC patients who had bone …
ductal carcinoma (IDC) accounted for about 80% of all BC cases. BC patients who had bone …
[HTML][HTML] Proposing a hybrid technique of feature fusion and convolutional neural network for melanoma skin cancer detection
Skin cancer is among the most common cancer types worldwide. Automatic identification of
skin cancer is complicated because of the poor contrast and apparent resemblance between …
skin cancer is complicated because of the poor contrast and apparent resemblance between …