AI-big data analytics for building automation and management systems: a survey, actual challenges and future perspectives
In theory, building automation and management systems (BAMSs) can provide all the
components and functionalities required for analyzing and operating buildings. However, in …
components and functionalities required for analyzing and operating buildings. However, in …
A review on machine learning, artificial intelligence, and smart technology in water treatment and monitoring
Artificial-intelligence methods and machine-learning models have demonstrated their ability
to optimize, model, and automate critical water-and wastewater-treatment applications …
to optimize, model, and automate critical water-and wastewater-treatment applications …
[HTML][HTML] Flood susceptibility modelling using advanced ensemble machine learning models
Floods are one of nature's most destructive disasters because of the immense damage to
land, buildings, and human fatalities. It is difficult to forecast the areas that are vulnerable to …
land, buildings, and human fatalities. It is difficult to forecast the areas that are vulnerable to …
Groundwater level prediction using machine learning algorithms in a drought-prone area
Groundwater resources (GWR) play a crucial role in agricultural crop production, daily life,
and economic progress. Therefore, accurate prediction of groundwater (GW) level will aid in …
and economic progress. Therefore, accurate prediction of groundwater (GW) level will aid in …
Comparative study on total nitrogen prediction in wastewater treatment plant and effect of various feature selection methods on machine learning algorithms …
Wastewater characteristics prediction in wastewater treatment plants (WWTPs) is valuable
and can reduce the number of sampling, energy, and cost. Feature Selection (FS) methods …
and can reduce the number of sampling, energy, and cost. Feature Selection (FS) methods …
Flood susceptibility modeling in Teesta River basin, Bangladesh using novel ensembles of bagging algorithms
The flooding in Bangladesh during monsoon season is very common and frequently
happens. Consequently, people have been experiencing tremendous damage to properties …
happens. Consequently, people have been experiencing tremendous damage to properties …
Prediction of meteorological drought by using hybrid support vector regression optimized with HHO versus PSO algorithms
Drought is considered one of the costliest natural disasters that result in water scarcity and
crop damage almost every year. Drought monitoring and forecasting are essential for the …
crop damage almost every year. Drought monitoring and forecasting are essential for the …
Implementation of hybrid neuro-fuzzy and self-turning predictive model for the prediction of concrete carbonation depth: A soft computing technique
Carbonation is one of the critical problems that affects the durability of reinforced concrete; it
is a reaction between CO 2 gas and Ca (OH) 2 when H 2 O is available, which forms …
is a reaction between CO 2 gas and Ca (OH) 2 when H 2 O is available, which forms …
Fluoride and nitrate enrichment in coastal aquifers of the Eastern Province, Saudi Arabia: The influencing factors, toxicity, and human health risks
Fluoride and nitrate contamination of groundwater is a major environmental issue in the
world's arid and semiarid regions. This issue is severe in both developed and develo** …
world's arid and semiarid regions. This issue is severe in both developed and develo** …
Evaluation of water quality index and geochemical characteristics of surfacewater from Tawang India
N Gaur, A Sarkar, D Dutta, BJ Gogoi, R Dubey… - Scientific Reports, 2022 - nature.com
In this study, the water samples were collected from 31 sites of Tawang, Arunachal Pradesh,
India (North-Eastern Himalaya), during the winter season to check the suitability of water for …
India (North-Eastern Himalaya), during the winter season to check the suitability of water for …