Intelligent speech technologies for transcription, disease diagnosis, and medical equipment interactive control in smart hospitals: A review
The growing and aging of the world population have driven the shortage of medical
resources in recent years, especially during the COVID-19 pandemic. Fortunately, the rapid …
resources in recent years, especially during the COVID-19 pandemic. Fortunately, the rapid …
Visual detection of COVID-19 from materials aspect
In the recent COVID-19 pandemic, World Health Organization emphasized that early
detection is an effective strategy to reduce the spread of SARS-CoV-2 viruses. Several …
detection is an effective strategy to reduce the spread of SARS-CoV-2 viruses. Several …
Optimized DEC: An effective cough detection framework using optimal weighted Features-aided deep Ensemble classifier for COVID-19
Since the year 2019, the entire world has been facing the most hazardous and contagious
disease as Corona Virus Disease 2019 (COVID-19). Based on the symptoms, the virus can …
disease as Corona Virus Disease 2019 (COVID-19). Based on the symptoms, the virus can …
TBscreen: A passive cough classifier for tuberculosis screening with a controlled dataset
Recent respiratory disease screening studies suggest promising performance of cough
classifiers, but potential biases in model training and dataset quality preclude robust …
classifiers, but potential biases in model training and dataset quality preclude robust …
Explainable COVID-19 detection using fractal dimension and vision transformer with Grad-CAM on cough sounds
The polymerase chain reaction (PCR) test is not only time-intensive but also a contact
method that puts healthcare personnel at risk. Thus, contactless and fast detection tests are …
method that puts healthcare personnel at risk. Thus, contactless and fast detection tests are …
[HTML][HTML] Utilizing CNN-LSTM techniques for the enhancement of medical systems
COVID-19 is one of the most chronic and serious infections of recent years due to its
worldwide spread. Determining who was genuinely affected when the disease spreads …
worldwide spread. Determining who was genuinely affected when the disease spreads …
Ensemble multimodal deep learning for early diagnosis and accurate classification of COVID-19
Over the past few years, the awful COVID-19 pandemic effect has become a lethal sickness.
The processing of the gathered samples requires extra time due to the use of medical …
The processing of the gathered samples requires extra time due to the use of medical …
Hesitant fuzzy for conflicting criteria in multi-objective deployment of electric vehicle charging stations
The penetration rate of electric vehicles is expected to experience continual growth. The
expansion planning of charging stations includes conflicting interests in urban distribution …
expansion planning of charging stations includes conflicting interests in urban distribution …
Covid-19 detection from respiratory sounds with hierarchical spectrogram transformers
Monitoring of prevalent airborne diseases such as COVID-19 characteristically involves
respiratory assessments. While auscultation is a mainstream method for preliminary …
respiratory assessments. While auscultation is a mainstream method for preliminary …
Systematic review of advanced AI methods for improving healthcare data quality in post COVID-19 Era
At the beginning of the COVID-19 pandemic, there was significant hype about the potential
impact of artificial intelligence (AI) tools in combatting COVID-19 on diagnosis, prognosis, or …
impact of artificial intelligence (AI) tools in combatting COVID-19 on diagnosis, prognosis, or …