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 …

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 …

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 …

Enhancing Precision Medicine with Machine Learning in Thyroid Diagnosis

K Chitra, S Swetha… - … on I-SMAC (IoT in Social …, 2023 - ieeexplore.ieee.org
Thyroid diseases are a major global health issue, affecting millions of people and
contributing to various metabolic abnormalities. Conventional thyroid diagnostic procedures …

A Comprehensive Exploration of Machine Learning and IoT Applications for Transforming Water Management

M Kaur, R Aron, H Wadhwa, R Tandon… - … in Machine Learning …, 2024 - igi-global.com
Water scarcity and environmental concerns have become pressing issues in the modern
world, necessitating innovative approaches to water management. Global issues including …

[PDF][PDF] The Internet of Things (IoT) is being used to Control the Implementation of Water, Sanitation, and Hygiene (WaSH) Practices during the COVID-19 Era in …

R Tosepu, SZA Nazar, N Yuniar - WSEAS Transactions on …, 2023 - researchgate.net
This research aims to identify the relationship between duration, content type, perception,
and interest in the use of social media platforms Instagram and YouTube by millennials …

Enhanced Stroke Prediction through Recursive Feature Elimination and Cross-Validation in Machine Learning

A Charmilisri, I Harshi… - 2023 8th International …, 2023 - ieeexplore.ieee.org
Stroke is the primary cause of morbidity and mortality on a global scale, and early
identification of people at high risk for stroke is critical for its effective prevention and …