Predicting solar distiller productivity using an AI Approach: Modified genetic algorithm with Multi-Layer Perceptron

E Ashraf, AE Kabeel, Y Elmashad, SA Ward… - Solar Energy, 2023 - Elsevier
Abstract Solar Stills (SSs) are an eco-friendly and efficient approach to generating drinking
water from brackish or saline sources. In this paper, a novel model for predicting the …

[HTML][HTML] Assessing the potential impacts of LULC change on urban air quality in Dhaka city

T Zarin, M Esraz-Ul-Zannat - Ecological Indicators, 2023 - Elsevier
Dhaka is among the top five metropolises with the most particulate pollution and polluted air
alone, responsible for 17.6% of the risk of mortality and disability. As a result of recent global …

Symbolic regression with feature selection of dye biosorption from an aqueous solution using pumpkin seed husk using evolutionary computation-based automatic …

S Arslan, N Kütük - Expert Systems with Applications, 2023 - Elsevier
Industrial waste pollution is a serious and systematic problem that harms the environment
and people. The development of cheap, simple, and efficient techniques to solve this …

[HTML][HTML] Optimizing the ecological source area identification method and building ecological corridor using a genetic algorithm: A case study in Weihe River Basin, NW …

X Wu, J Pan, X Zhu - Ecological Informatics, 2024 - Elsevier
The extraction of ecological corridors is influenced by the accuracy of ecological source area
identification, which is a crucial component of ecological security construction. The …

[HTML][HTML] Deep learning versus hybrid regularized extreme learning machine for multi-month drought forecasting: A comparative study and trend analysis in tropical …

MM Hameed, SFM Razali, WHMW Mohtar… - Heliyon, 2024 - cell.com
Drought is a hazardous natural disaster that can negatively affect the environment, water
resources, agriculture, and the economy. Precise drought forecasting and trend assessment …

[HTML][HTML] An improved adaptive neuro-fuzzy inference system for hydrological drought prediction in Algeria

M Achite, E Gul, N Elshaboury, M Jehanzaib… - … of the Earth, Parts A/B/C, 2023 - Elsevier
Drought has negative impacts on water resources, food security, soil degradation,
desertification and agricultural productivity. The meteorological and hydrological droughts …

[HTML][HTML] Data driven of underground water level using artificial intelligence hybrid algorithms

M Rahimi, H Ebrahimi - Scientific Reports, 2023 - nature.com
As the population grows, industry and agriculture have also developed and water resources
require quantitative and qualitative management. Currently, the management of water …

Multi-source data based anomaly detection through temporal and spatial characteristics

P Xu, Q Gao, Z Zhang, K Zhao - Expert Systems with Applications, 2024 - Elsevier
Anomaly detection is vital in complex distributed systems. However, existing methods did not
take into full account the temporal and spatial characteristics of data from multiple sources in …

[HTML][HTML] Advanced stacked integration method for forecasting long-term drought severity: CNN with machine learning models

A Elbeltagi, A Srivastava, M Ehsan, G Sharma… - Journal of Hydrology …, 2024 - Elsevier
Study region Eight governorates in upper Egypt namely Aswan, Asyut, Beni-Suef, Fayoum,
Luxor, Minya, Qena and Sohag. Study focus This study aims to develop novel hybrid …

Random Forest and Multilayer Perceptron hybrid models integrated with the genetic algorithm for predicting pan evaporation of target site using a limited set of …

S Shadkani, S Hashemi, A Pak, AB Lahijan - Earth Science Informatics, 2024 - Springer
This study explores the application of machine learning algorithms for the prediction of pan
evaporation (Ep), which is a critical factor in water resource management for the assessment …