A review on hospital wastewater treatment technologies: Current management practices and future prospects

G Bhandari, P Chaudhary, S Gangola, S Gupta… - Journal of Water …, 2023 - Elsevier
Substantial quantities of wastewater effluents and biomedical waste consisting of different
toxic environmental pollutants such as pharmaceutically active compounds, organic …

Fluoride removal in drinking water using layered double hydroxide materials: preparation, characterization and the current perspective on IR4. 0 technologies

NA Tajuddin, EFB Sokeri, NA Kamal, M Dib - Journal of Environmental …, 2023 - Elsevier
The world's population growth, fast industrial development, and the birth of civilization are all
driving up demand for clean water. Fluoride (F-) intake in excess of 4 mg/L is categorized as …

Towards design of Internet of Things and machine learning-enabled frameworks for analysis and prediction of water quality

MA Rahu, AF Chandio, K Aurangzeb, S Karim… - IEEE …, 2023 - ieeexplore.ieee.org
The degradation of water quality has become a critical concern worldwide, necessitating
innovative approaches for monitoring and predicting water quality. This paper proposes an …

Development of a platform for monitoring the levels of dispersed oxygen in river components of a water supply micro basin using programmable microcontrollers

RZ Sakiyama, ESJ Zukeram, LB Ruiz, CMG Andrade - Water, 2023 - mdpi.com
The Internet of Things (IoT) has become widespread. Widely used worldwide, it already
penetrates all spheres of life, and its symbiosis with the environment has become …

Machine Learning Role in Internet of Things (IoT) Based Research: A Review

G Saxena, P Singhal, V Khattri - 2024 International Conference …, 2024 - ieeexplore.ieee.org
The rapidly growing field of hardware-and software-based connected items that employ
communication technologies is known as Internet of Things (IoT). In the past years, IoT …

Water Quality Monitoring and Assessment for Efficient Water Resource Management through Internet of Things and Machine Learning Approaches for Agricultural …

MA Rahu, MM Shaikh, S Karim, SA Soomro… - Water Resources …, 2024 - Springer
Water quality monitoring and assessment play crucial roles in efficient water resource
management, particularly in the context of agricultural rrigation. Leveraging Internet of …

AI-Driven IoT Framework for Optimal Energy Management in Consumer Devices

T Malleeshwaran, T Prasanna… - 2024 3rd International …, 2024 - ieeexplore.ieee.org
The explosion of Internet of Things (IoT) devices in consumer applications has led to an
unprecedented demand for efficient energy management strategies. However, the existing …

Quality Improvement of Cigarette Manufacturing Process Driven by Deep Learning: Application of Wasserstein Distance Algorithm

Q Ji, M Li, G Xu, W Zhang - IEEE Access, 2024 - ieeexplore.ieee.org
This paper aims to improve the quality monitoring level in the cigarette silk production,
thereby proposing an innovative model based on a combination of Wasserstein distance …

Using Analytical Hierarchy Process for Excess-Chlorine Risk Assessments in a Water Distribution Network: A Case Study

M Pakdehi, M Ardestani, MH Niksokhan… - Journal of …, 2023 - ascelibrary.org
Drinking water distribution systems (DWDS) are some of the critical components of a
drinking water system, providing water supply services to our growing populations. To …

ML-Enhanced Mental Health Assessment: Optimizing Machine Learning for Diagnosis

A Sharma, M Kalra, V Sukhija - 2024 15th International …, 2024 - ieeexplore.ieee.org
Machine learning techniques have emerged as revolutionary tools in enhancing mental
health diagnosis and evaluation. This research investigates the use of ensemble …