Mathematical and machine learning models for groundwater level changes: a systematic review and bibliographic analysis
S Afrifa, T Zhang, P Appiahene, V Varadarajan - Future Internet, 2022 - mdpi.com
With the effects of climate change such as increasing heat, higher rainfall, and more
recurrent extreme weather events including storms and floods, a unique approach to …
recurrent extreme weather events including storms and floods, a unique approach to …
Advancements in monitoring water quality based on various sensing methods: A systematic review
SN Zainurin, WZ Wan Ismail, SNI Mahamud… - International Journal of …, 2022 - mdpi.com
Nowadays, water pollution has become a global issue affecting most countries in the world.
Water quality should be monitored to alert authorities on water pollution, so that action can …
Water quality should be monitored to alert authorities on water pollution, so that action can …
Data‐worth analysis for heterogeneous subsurface structure identification with a stochastic deep learning framework
Reliable characterization of subsurface structures is essential for earth sciences and related
applications. Data assimilation‐based identification frameworks can reasonably estimate …
applications. Data assimilation‐based identification frameworks can reasonably estimate …
A novel long short-term memory artificial neural network (LSTM)-based soft-sensor to monitor and forecast wastewater treatment performance
Commercial instrumentation for measurement of various wastewater treatment processes
parameters is costly and time-consuming in wastewater treatment plants (WWTPs). Long …
parameters is costly and time-consuming in wastewater treatment plants (WWTPs). Long …
Can machine learning accelerate process understanding and decision‐relevant predictions of river water quality?
The global decline of water quality in rivers and streams has resulted in a pressing need to
design new watershed management strategies. Water quality can be affected by multiple …
design new watershed management strategies. Water quality can be affected by multiple …
Development of a Soft Sensor Using Machine Learning Algorithms for Predicting the Water Quality of an Onsite Wastewater Treatment System
Developing advanced onsite wastewater treatment systems (OWTS) requires accurate and
consistent water quality monitoring to evaluate treatment efficiency and ensure regulatory …
consistent water quality monitoring to evaluate treatment efficiency and ensure regulatory …
Low-cost internet-of-things water-quality monitoring system for rural areas
Water is a vital source for life and natural environments. This is the reason why water
sources should be constantly monitored in order to detect any pollutants that might …
sources should be constantly monitored in order to detect any pollutants that might …
IoT-based prediction models in the environmental context: A systematic Literature Review
Undoubtedly, during the last few years, climate change has alerted the research community
of the natural environment sector. Furthermore, the advent of the Internet of Things (IoT) …
of the natural environment sector. Furthermore, the advent of the Internet of Things (IoT) …
[HTML][HTML] Measurement of oxygen content in water with purity through soft sensor model
A Thiruneelakandan, G Kaur, G Vadnala… - Measurement …, 2022 - Elsevier
The development and commercial use of virtualized sensing (smooth) in the manufacturing
of Polyethylene Terephthalate (PET) and sewage treatment are both covered in this paper …
of Polyethylene Terephthalate (PET) and sewage treatment are both covered in this paper …
[HTML][HTML] Efficient water quality prediction by synthesizing seven heavy metal parameters using deep neural network
H Moeinzadeh, P Jegakumaran, KT Yong… - Journal of Water Process …, 2023 - Elsevier
Water quality is primarily assessed by consumers based on its aesthetic acceptability,
encompassing factors such as taste, odor, and appearance. The seven heavy metal …
encompassing factors such as taste, odor, and appearance. The seven heavy metal …