Data-driven analytics leveraging artificial intelligence in the era of COVID-19: an insightful review of recent developments
A Majeed, SO Hwang - Symmetry, 2021 - mdpi.com
This paper presents the role of artificial intelligence (AI) and other latest technologies that
were employed to fight the recent pandemic (ie, novel coronavirus disease-2019 (COVID …
were employed to fight the recent pandemic (ie, novel coronavirus disease-2019 (COVID …
A review on machine learning approaches in identification of pediatric epilepsy
Epilepsy is the second most common neurological disease after Alzheimer. It is a disorder of
the brain which results in recurrent seizures. Though the epilepsy in general is considered …
the brain which results in recurrent seizures. Though the epilepsy in general is considered …
CR19: A framework for preliminary detection of COVID-19 in cough audio signals using machine learning algorithms for automated medical diagnosis applications
Today, there is a level of panic and chaos dominating the entire world due to the massive
outbreak in the second wave of COVID-19 disease. As the disease has numerous symptoms …
outbreak in the second wave of COVID-19 disease. As the disease has numerous symptoms …
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 …
Using a deep learning model to explore the impact of clinical data on COVID-19 diagnosis using chest X-ray
The coronavirus pandemic (COVID-19) is disrupting the entire world; its rapid global spread
threatens to affect millions of people. Accurate and timely diagnosis of COVID-19 is essential …
threatens to affect millions of people. Accurate and timely diagnosis of COVID-19 is essential …
Cough detection system using TinyML
A Rana, Y Dhiman, R Anand - 2022 International Conference …, 2022 - ieeexplore.ieee.org
In this research paper, a system for the detection of cough is made with Edge Impulse Studio
and Arduino 33 BLE Sense. It is able to distinguish between actual cough and a general …
and Arduino 33 BLE Sense. It is able to distinguish between actual cough and a general …
[HTML][HTML] Cough sound detection from raw waveform using SincNet and bidirectional GRU
RV Sharan - Biomedical Signal Processing and Control, 2023 - Elsevier
Background and objective Cough is a common symptom of respiratory diseases and the
sound of cough helps in understanding the condition of the respiratory system. Objective …
sound of cough helps in understanding the condition of the respiratory system. Objective …
Pneumonia screening on chest X-rays with optimized ensemble model
S Nalluri, R Sasikala - Expert Systems with Applications, 2024 - Elsevier
Pneumonia is a lung illness that may result from a variety of various viral diseases and may
be lethal. It might be difficult to diagnose and treat pneumonia on chest X-ray pictures …
be lethal. It might be difficult to diagnose and treat pneumonia on chest X-ray pictures …
A novel snore detection and suppression method for a flexible patch with MEMS microphone and accelerometer
C He, J Tan, X Jian, G Zhong, H Wu… - IEEE Internet of …, 2022 - ieeexplore.ieee.org
Sleep apnea impacts more and more people all over the world, and obstructive sleep apnea
of which is the most frequent. Hence, research on snoring detection and related suppression …
of which is the most frequent. Hence, research on snoring detection and related suppression …
GCLP: An automated asthma detection model based on global chaotic logistic pattern using cough sounds
Asthmatic patients suffer episodic attacks of breathing difficulty and cough. Cough sounds
may be used to distinguish asthma from other lung conditions or normal, especially in the …
may be used to distinguish asthma from other lung conditions or normal, especially in the …