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A comprehensive survey of the Internet of Things (IoT) and AI-based smart healthcare
Smart health care is an important aspect of connected living. Health care is one of the basic
pillars of human need, and smart health care is projected to produce several billion dollars …
pillars of human need, and smart health care is projected to produce several billion dollars …
[HTML][HTML] Epileptic seizures detection using deep learning techniques: a review
A variety of screening approaches have been proposed to diagnose epileptic seizures,
using electroencephalography (EEG) and magnetic resonance imaging (MRI) modalities …
using electroencephalography (EEG) and magnetic resonance imaging (MRI) modalities …
Adaptive transfer learning-based multiscale feature fused deep convolutional neural network for EEG MI multiclassification in brain–computer interface
Abstract Objective. Deep learning (DL)-based brain–computer interface (BCI) in motor
imagery (MI) has emerged as a powerful method for establishing direct communication …
imagery (MI) has emerged as a powerful method for establishing direct communication …
Medical image-based detection of COVID-19 using deep convolution neural networks
The demand for automatic detection of Novel Coronavirus or COVID-19 is increasing across
the globe. The exponential rise in cases burdens healthcare facilities, and a vast amount of …
the globe. The exponential rise in cases burdens healthcare facilities, and a vast amount of …
Multi-disease prediction based on deep learning: a survey
S ** review
Artificial intelligence (AI) is a field of computer science that deals with the simulation of
human intelligence using machines so that such machines gain problem-solving and …
human intelligence using machines so that such machines gain problem-solving and …
Boosting breast cancer detection using convolutional neural network
Breast cancer forms in breast cells and is considered as a very common type of cancer in
women. Breast cancer is also a very life‐threatening disease of women after lung cancer. A …
women. Breast cancer is also a very life‐threatening disease of women after lung cancer. A …
An efficient multi-scale CNN model with intrinsic feature integration for motor imagery EEG subject classification in brain-machine interfaces
Objective Electroencephalogram (EEG) based motor imagery (MI) classification is an
important aspect in brain-machine interfaces (BMIs) which bridges between neural system …
important aspect in brain-machine interfaces (BMIs) which bridges between neural system …
Popular deep learning algorithms for disease prediction: a review
Z Yu, K Wang, Z Wan, S **e, Z Lv - Cluster Computing, 2023 - Springer
Due to its automatic feature learning ability and high performance, deep learning has
gradually become the mainstream of artificial intelligence in recent years, playing a role in …
gradually become the mainstream of artificial intelligence in recent years, playing a role in …