Artificial-intelligence methods and machine-learning models have demonstrated their ability
to optimize, model, and automate critical water-and wastewater-treatment applications …

In the modern era, deep learning (DL), and machine learning (ML), have emerged as
potential technologies that are widely applied in the fields of science, engineering, and …

Ensemble learning techniques have achieved state-of-the-art performance in diverse
machine learning applications by combining the predictions from two or more base models …

To predict the class level of any classification problem, predictive models are used and
mostly a single predictive model is built to predict the class level of any classification …

Integration of the Internet of Things (IoT) into the fields of wastewater treatment and water
quality prediction has the potential to revolutionize traditional approaches and address …

Alzheimer's disease (AD) is a globally alarming neuro-degenerative abnormality for elderly
people. The earliest afflicted regions in AD are the brain tissues that form memory and other …

This research paper focuses on the importance of water as a precious resource and the
challenges associated with meeting the growing demand for clean, drinkable water …

Early diagnosis of plant diseases is one of the key elements determining plant productivity.
The productivity and quality of plants are significantly reduced when plant diseases are not …

Breast cancer is a disease characterised by abnormal cell growth in the breast, with various
types and unique characteristics depending on the malignant cells involved. It …

This study demonstrates how a colorimetric biosensor based on microfluidic paper can
swiftly diagnose a disease and predict its prognosis to triage patients effectively. This was …