A survey of human gait-based artificial intelligence applications
We performed an electronic database search of published works from 2012 to mid-2021 that
focus on human gait studies and apply machine learning techniques. We identified six key …
focus on human gait studies and apply machine learning techniques. We identified six key …
Soft biometrics: A survey: Benchmark analysis, open challenges and recommendations
The field of biometrics research encompasses the need to associate an identity to an
individual based on the persons physiological or behaviour traits. While the use of intrusive …
individual based on the persons physiological or behaviour traits. While the use of intrusive …
Human monkeypox classification from skin lesion images with deep pre-trained network using mobile application
Recently, human monkeypox outbreaks have been reported in many countries. According to
the reports and studies, quick determination and isolation of infected people are essential to …
the reports and studies, quick determination and isolation of infected people are essential to …
A parallel hybrid neural network with integration of spatial and temporal features for remaining useful life prediction in prognostics
Prediction of remaining useful life (RUL) is an indispensable part of prognostics health
management (PHM) in complex systems. Considering the parallel integration of the spatial …
management (PHM) in complex systems. Considering the parallel integration of the spatial …
Photovoltaic power forecasting based LSTM-Convolutional Network
K Wang, X Qi, H Liu - Energy, 2019 - Elsevier
The volatile and intermittent nature of solar energy itself presents a significant challenge in
integrating it into existing energy systems. Accurate photovoltaic power prediction plays an …
integrating it into existing energy systems. Accurate photovoltaic power prediction plays an …
Hybrid CNN-SVM classifier for handwritten digit recognition
The aim of this paper is to develop a hybrid model of a powerful Convolutional Neural
Networks (CNN) and Support Vector Machine (SVM) for recognition of handwritten digit from …
Networks (CNN) and Support Vector Machine (SVM) for recognition of handwritten digit from …
[HTML][HTML] Rice blast disease recognition using a deep convolutional neural network
W Liang, H Zhang, G Zhang, H Cao - Scientific reports, 2019 - nature.com
Rice disease recognition is crucial in automated rice disease diagnosis systems. At present,
deep convolutional neural network (CNN) is generally considered the state-of-the-art …
deep convolutional neural network (CNN) is generally considered the state-of-the-art …
Classification of Covid-19 coronavirus, pneumonia and healthy lungs in CT scans using Q-deformed entropy and deep learning features
Many health systems over the world have collapsed due to limited capacity and a dramatic
increase of suspected COVID-19 cases. What has emerged is the need for finding an …
increase of suspected COVID-19 cases. What has emerged is the need for finding an …
Software defect prediction based on enhanced metaheuristic feature selection optimization and a hybrid deep neural network
K Zhu, S Ying, N Zhang, D Zhu - Journal of Systems and Software, 2021 - Elsevier
Software defect prediction aims to identify the potential defects of new software modules in
advance by constructing an effective prediction model. However, the model performance is …
advance by constructing an effective prediction model. However, the model performance is …
SDN orchestration to combat evolving cyber threats in Internet of Medical Things (IoMT)
Abstract Internet of Medical Things (IoMT) is now worth a billion dollar market. While offering
enormous benefit, the prevalent and open environment of IoMT ecosystem can be a …
enormous benefit, the prevalent and open environment of IoMT ecosystem can be a …