The Internet of Things (IoT) is playing a vital role in the rapid automation of the healthcare
sector. The branch of IoT dedicated towards medical science is at times termed as …

Deep learning techniques have found applications across diverse fields, enhancing the
efficiency and effectiveness of decision-making processes. The integration of these …

The artificial neural network (ANN) is the most popular research area in neural computing. A
multi-layer perceptron (MLP) is an ANN that has hidden layers. Feed-forward (FF) ANN is …

A stock forecasting and trading system is a complex information system because a stock
trading system needs to be analyzed and modeled using data science, machine learning …

Abstract Chronic Kidney Disease (CKD) is a prominent health problem. Progressive CKD
leads to impaired kidney function with decreased ability to filter the patients' blood …

Given the significance of water in our lives, it has become imperative to protect its quantity
and, especially, its quality. One of the substances in this area that causes the most worry is …

The hypercube optimization search (HOS) approach is a new efficient and robust
metaheuristic algorithm that simulates the dove's movement in quest of new food sites in …

Despite the use of machine learning tools, it is challenging to properly model cause-specific
deaths in colorectal cancer (CRC) patients and choose appropriate treatments. Here, we …

Rapid industrialization and urban development are the main causes of air pollution, leading
to daily air quality and health problems. To find significant pollutants and forecast their …

Due to the increase in healthcare data provided by IoT, there is a need to use new methods
for data analysis. Machine learning (ML) techniques promise solutions for many challenges …