CNN-RNN based intelligent recommendation for online medical pre-diagnosis support
The rapidly developed Health 2.0 technology has provided people with more opportunities
to conduct online medical consultation than ever before. Understanding contexts within …
to conduct online medical consultation than ever before. Understanding contexts within …
Forest fire occurrence prediction in China based on machine learning methods
Forest fires may have devastating consequences for the environment and for human lives.
The prediction of forest fires is vital for preventing their occurrence. Currently, there are fewer …
The prediction of forest fires is vital for preventing their occurrence. Currently, there are fewer …
AnnoPRO: a strategy for protein function annotation based on multi-scale protein representation and a hybrid deep learning of dual-path encoding
Protein function annotation has been one of the longstanding issues in biological sciences,
and various computational methods have been developed. However, the existing methods …
and various computational methods have been developed. However, the existing methods …
Visibility classification and influencing-factors analysis of airport: A deep learning approach
This paper discusses the visibility classification and influencing-factor analysis of an airport,
which were carried out through a data-driven deep learning approach and multiple …
which were carried out through a data-driven deep learning approach and multiple …
[PDF][PDF] End-to-end data authentication deep learning model for securing IoT configurations
Compared to other biometrics, electrocardiograms (ECGs) have gained widespread
acceptability as mediums for validating animateness in numerous security applications …
acceptability as mediums for validating animateness in numerous security applications …
Automatic image caption generation based on some machine learning algorithms
B Predić, D Manić, M Saračević… - Mathematical …, 2022 - Wiley Online Library
This paper is dedicated to machine learning, the branches of machine learning, which
include the methods for solving this issue, and the practical implementation of the solution to …
include the methods for solving this issue, and the practical implementation of the solution to …
Single image defogging using deep learning techniques: past, present and future
Image dehazing play a vital role in several applications related to computer vision. The
prime motive of this paper is to provide the overview of the existing deep learning algorithms …
prime motive of this paper is to provide the overview of the existing deep learning algorithms …
Deep learning models for visibility forecasting using climatological data
Low visibility conditions affect safety and traffic operations, leading to adverse scenarios that
often result in serious accidents. Due to the complexity and variability associated with …
often result in serious accidents. Due to the complexity and variability associated with …
Visnet: Deep convolutional neural networks for forecasting atmospheric visibility
A Palvanov, YI Cho - Sensors, 2019 - mdpi.com
Visibility is a complex phenomenon inspired by emissions and air pollutants or by factors,
including sunlight, humidity, temperature, and time, which decrease the clarity of what is …
including sunlight, humidity, temperature, and time, which decrease the clarity of what is …
Artificial intelligence for stepwise diagnosis and monitoring of COVID-19
H Liang, Y Guo, X Chen, KL Ang, Y He, N Jiang… - European …, 2022 - Springer
Background Main challenges for COVID-19 include the lack of a rapid diagnostic test, a
suitable tool to monitor and predict a patient's clinical course and an efficient way for data …
suitable tool to monitor and predict a patient's clinical course and an efficient way for data …