Recent use of deep learning techniques in clinical applications based on gait: a survey
Gait analysis has been studied for a long time and applied to fields such as security, sport,
and medicine. In particular, clinical gait analysis has played a significant role in improving …
and medicine. In particular, clinical gait analysis has played a significant role in improving …
[HTML][HTML] Landslide susceptibility map** with deep learning algorithms
Among natural hazards, landslides are devastating in China. However, little is known
regarding potential landslide-prone areas in Maoxian County. The goal of this study was to …
regarding potential landslide-prone areas in Maoxian County. The goal of this study was to …
A Comprehensive Systematic Review of YOLO for Medical Object Detection (2018 to 2023)
YOLO (You Only Look Once) is an extensively utilized object detection algorithm that has
found applications in various medical object detection tasks. This has been accompanied by …
found applications in various medical object detection tasks. This has been accompanied by …
One-dimensional VGGNet for high-dimensional data
S Feng, L Zhao, H Shi, M Wang, S Shen, W Wang - Applied Soft Computing, 2023 - Elsevier
We consider a deep learning model for classifying high-dimensional data and seek to
achieve optimal evaluation accuracy and robustness based on multicriteria decision-making …
achieve optimal evaluation accuracy and robustness based on multicriteria decision-making …
Ensemble-based classification using neural networks and machine learning models for windows pe malware detection
The security of information is among the greatest challenges facing organizations and
institutions. Cybercrime has risen in frequency and magnitude in recent years, with new …
institutions. Cybercrime has risen in frequency and magnitude in recent years, with new …
State-of-the-art in 1d convolutional neural networks: A survey
Deep learning architectures have brought about new heights in computer vision, with the
most common approach being the Convolutional Neural Network (CNN). Through CNN …
most common approach being the Convolutional Neural Network (CNN). Through CNN …
Cyberbullying detection on social media using stacking ensemble learning and enhanced BERT
The prevalence of cyberbullying on Social Media (SM) platforms has become a significant
concern for individuals, organizations, and society as a whole. The early detection and …
concern for individuals, organizations, and society as a whole. The early detection and …
Shared blocks-based ensemble deep learning for shallow landslide susceptibility map**
Natural disaster impact assessment is of the utmost significance for post-disaster recovery,
environmental protection, and hazard mitigation plans. With their recent usage in landslide …
environmental protection, and hazard mitigation plans. With their recent usage in landslide …
Uncertainty management in electricity demand forecasting with machine learning and ensemble learning: case studies of COVID-19 in the US metropolitans
Improving load forecasting is becoming increasingly crucial for power system management
and operational research. Disruptive influences can seriously impact both the supply and …
and operational research. Disruptive influences can seriously impact both the supply and …
Deep convolutional neural network for diabetes mellitus prediction
As a widely known disease diabetes mellitus makes the human body produce quite less
hormone and also tend to cause increased glucose that results in abnormal metabolism of …
hormone and also tend to cause increased glucose that results in abnormal metabolism of …