Chronic illnesses like chronic respiratory disease, cancer, heart disease, and diabetes are
threats to humans around the world. Among them, heart disease with disparate features or …

Extreme learning machine (ELM) algorithm is used to train Single-hidden Layer Feed
forward Neural Networks. And Deep Belief Network (DBN) is based on Restricted Boltzmann …

Fog computing gives various kinds of properties over the internet which allows utilizing
different types of services from industries. In these cloud architectures, the key bottleneck is …

Using big data for prediction analysis along with machine learning or deep learning
techniques or algorithms is one the most active areas of research in order to improve the …

Computer-aided diagnosis (CAD) can assist doctors with clinical diagnosis and improve
diagnosis accuracy and efficiency further. It is significative and valuable for cancer detection …

Due to the increase in pollution, the number of deaths caused by lung disease is rising
rapidly. It is essential to predict the disease in earlier stages by means of high-level …

During the diagnosis of pulmonary diseases, the doctor listens to the lung sounds on the
patient's chest using a traditional stethoscope for the earlier detection of abnormal …

Kernel extreme learning machine (KELM) has been widely used in the fields of classification
and identification since it was proposed. As the parameters in the KELM model have a …

Lung cancer is a fatal disease with a high mortality rate in diseased patients. Early diagnosis
of this disease and accurately identifying the lung cancer stage can save the patients' lives …

Extreme learning machine (ELM) as an emergent technology has shown its good
performance in regression applications as well as in large dataset (and/or multi-label) …