[HTML][HTML] BiCHAT: BiLSTM with deep CNN and hierarchical attention for hate speech detection
Online social networks (OSNs) face the challenging problem of hate speech, which should
be moderated for the growth of OSNs. The machine learning approaches dominate the …
be moderated for the growth of OSNs. The machine learning approaches dominate the …
Telemedicine and virtual respiratory care in the era of COVID-19
H Pinnock, P Murphie, I Vogiatzis… - ERJ open …, 2022 - Eur Respiratory Soc
The World Health Organization defines telemedicine as “an interaction between a
healthcare provider and a patient when the two are separated by distance”. The coronavirus …
healthcare provider and a patient when the two are separated by distance”. The coronavirus …
DDPM: A dengue disease prediction and diagnosis model using sentiment analysis and machine learning algorithms
The aedes mosquito-borne dengue viruses cause dengue fever, an arboviral disease
(DENVs). In 2019, the World Health Organization forecasts a yearly occurrence of infections …
(DENVs). In 2019, the World Health Organization forecasts a yearly occurrence of infections …
Secure IoMT for disease prediction empowered with transfer learning in healthcare 5.0, the concept and case study
Identifying human diseases remains a difficult process, even in the age of advanced
information technology and the smart healthcare industry 5.0. In the smart healthcare …
information technology and the smart healthcare industry 5.0. In the smart healthcare …
U-Net-based models towards optimal MR brain image segmentation
Brain tumor segmentation from MRIs has always been a challenging task for radiologists,
therefore, an automatic and generalized system to address this task is needed. Among all …
therefore, an automatic and generalized system to address this task is needed. Among all …
Attentional multi-channel convolution with bidirectional LSTM cell toward hate speech prediction
Online social networks (OSNs) facilitate their users in real-time communication but also
open the door for several challenging problems like hate speech and fake news. This study …
open the door for several challenging problems like hate speech and fake news. This study …
IIMFCBM: Intelligent integrated model for feature extraction and classification of brain tumors using MRI clinical imaging data in IoT-healthcare
Accurate classification of brain tumors is vital for detecting brain cancer in the Medical
Internet of Things. Detecting brain cancer at its early stages is a tremendous medical …
Internet of Things. Detecting brain cancer at its early stages is a tremendous medical …
MCNN: a multi-level CNN model for the classification of brain tumors in IoT-healthcare system
The classification of brain tumors is significantly important for diagnosing and treating brain
tumors in IoT healthcare systems. In this work, we have proposed a robust classification …
tumors in IoT healthcare systems. In this work, we have proposed a robust classification …
Hybrid Majority Voting: Prediction and Classification Model for Obesity
Because it is associated with most multifactorial inherited diseases like heart disease,
hypertension, diabetes, and other serious medical conditions, obesity is a major global …
hypertension, diabetes, and other serious medical conditions, obesity is a major global …
Bridged-U-Net-ASPP-EVO and deep learning optimization for brain tumor segmentation
Brain tumor segmentation from Magnetic Resonance Images (MRI) is considered a big
challenge due to the complexity of brain tumor tissues, and segmenting these tissues from …
challenge due to the complexity of brain tumor tissues, and segmenting these tissues from …