[HTML][HTML] Advances in smart environment monitoring systems using IoT and sensors

SL Ullo, GR Sinha - Sensors, 2020 - mdpi.com
Air quality, water pollution, and radiation pollution are major factors that pose genuine
challenges in the environment. Suitable monitoring is necessary so that the world can …

A comprehensive review of water quality monitoring and assessment in Nigeria

JO Ighalo, AG Adeniyi - Chemosphere, 2020 - Elsevier
Nigeria is the most populated black nation in the world with about 199 million people. About
66.3 million Nigerians do not have access to safe drinking water. In this study, research …

Water quality classification using machine learning algorithms

N Nasir, A Kansal, O Alshaltone, F Barneih… - Journal of Water …, 2022 - Elsevier
Monitoring water quality is essential for protecting human health and the environment and
controlling water quality. Artificial Intelligence (AI) offers significant opportunities to help …

[HTML][HTML] Smart water quality monitoring system with cost-effective using IoT

S Pasika, ST Gandla - Heliyon, 2020 - cell.com
Wireless communication developments are creating new sensor capabilities. The current
developments in the field of sensor networks are critical for environmental applications …

[HTML][HTML] Efficient water quality prediction using supervised machine learning

U Ahmed, R Mumtaz, H Anwar, AA Shah, R Irfan… - Water, 2019 - mdpi.com
Water makes up about 70% of the earth's surface and is one of the most important sources
vital to sustaining life. Rapid urbanization and industrialization have led to a deterioration of …

[Retracted] Water Quality Prediction Using Artificial Intelligence Algorithms

THH Aldhyani, M Al-Yaari, H Alkahtani… - Applied Bionics and …, 2020 - Wiley Online Library
During the last years, water quality has been threatened by various pollutants. Therefore,
modeling and predicting water quality have become very important in controlling water …

[HTML][HTML] Modelling and prediction of water quality by using artificial intelligence

M Hmoud Al-Adhaileh, F Waselallah Alsaade - Sustainability, 2021 - mdpi.com
Artificial intelligence methods can remarkably reduce costs for water supply and sanitation
systems and help ensure compliance with the quality of drinking and wastewater treatment …

[HTML][HTML] AquaVision: Automating the detection of waste in water bodies using deep transfer learning

H Panwar, PK Gupta, MK Siddiqui… - Case Studies in …, 2020 - Elsevier
Water pollution is one of the serious threats in the society. More than 8 million tons of plastic
are dumped in the oceans each year. In addition to that beaches are littered by tourists and …

[HTML][HTML] A machine-learning approach for prediction of water contamination using latitude, longitude, and elevation

K Banerjee, V Bali, N Nawaz, S Bali, S Mathur… - Water, 2022 - mdpi.com
One of the significant issues that the world has faced in recent decades has been the
estimation of water quality and location where safe drinking water is available. Due to the …

[HTML][HTML] Machine learning-enabled internet of things (iot): Data, applications, and industry perspective

J Bzai, F Alam, A Dhafer, M Bojović, SM Altowaijri… - Electronics, 2022 - mdpi.com
Machine learning (ML) allows the Internet of Things (IoT) to gain hidden insights from the
treasure trove of sensed data and be truly ubiquitous without explicitly looking for knowledge …