Hybridized artificial intelligence models with nature-inspired algorithms for river flow modeling: A comprehensive review, assessment, and possible future research …
H Tao, SI Abba, AM Al-Areeq, F Tangang… - … Applications of Artificial …, 2024 - Elsevier
River flow (Q flow) is a hydrological process that considerably impacts the management and
sustainability of water resources. The literature has shown great potential for nature-inspired …
sustainability of water resources. The literature has shown great potential for nature-inspired …
A review of recent advances and future prospects in calculation of reference evapotranspiration in Bangladesh using soft computing models
Evapotranspiration (ETo) is a complex and non-linear hydrological process with a significant
impact on efficient water resource planning and long-term management. The Penman …
impact on efficient water resource planning and long-term management. The Penman …
Prediction of flyrock distance in surface mining using a novel hybrid model of harris hawks optimization with multi-strategies-based support vector regression
To weaken and control effectively the harm of flyrock in open-pit mines, this study aimed to
develop a novel Harris hawks optimization with multi-strategies-based support vector …
develop a novel Harris hawks optimization with multi-strategies-based support vector …
Off-grid multi-region energy system design based on energy load demand estimation using hybrid nature-inspired optimization algorithms
AH Alhamami, SI Abba, B Musa, YA Dodo… - Energy Conversion and …, 2024 - Elsevier
Reliable energy demand estimation and optimal sizing of a stand-alone photovoltaic/wind/
battery hybrid energy system are critical for achieving sustainable development goals. This …
battery hybrid energy system are critical for achieving sustainable development goals. This …
A novel hybrid XGBoost methodology in predicting penetration rate of rotary based on rock-mass and material properties
Predicting the drill penetration rate is a fundamental requirement in mining operations,
profoundly impacting both the cost-effectiveness of mining activities and strategic mine …
profoundly impacting both the cost-effectiveness of mining activities and strategic mine …
Improving significant wave height prediction using a neuro-fuzzy approach and marine predators algorithm
This study investigates the ability of a new hybrid neuro-fuzzy model by combining the neuro-
fuzzy (ANFIS) approach with the marine predators' algorithm (MPA) in predicting short-term …
fuzzy (ANFIS) approach with the marine predators' algorithm (MPA) in predicting short-term …
[HTML][HTML] Performance of evolutionary optimized machine learning for modeling total organic carbon in core samples of shale gas fields
Rock samples' TOC content is the best indicator of the organic matter in source rocks. The
origin rock samples' analysis is used to calculate it manually by specialists. This method …
origin rock samples' analysis is used to calculate it manually by specialists. This method …
Short-term drought Index forecasting for hot and semi-humid climate Regions: A novel empirical Fourier decomposition-based ensemble Deep-Random vector …
The development of advanced technologies based on computer aid models in the domain of
crops and agriculture productively is a modern advancement. Machine learning (ML) based …
crops and agriculture productively is a modern advancement. Machine learning (ML) based …
PM2.5 Concentration Prediction Based on LightGBM Optimized by Adaptive Multi-Strategy Enhanced Sparrow Search Algorithm
X Liu, K Zhao, Z Liu, L Wang - Atmosphere, 2023 - mdpi.com
The atmospheric environment is of great importance to human health. However, its
influencing factors are complex and variable. An efficient technique is required to more …
influencing factors are complex and variable. An efficient technique is required to more …
Modeling significant wave heights for multiple time horizons using metaheuristic regression methods
The study examines the applicability of six metaheuristic regression techniques—M5 model
tree (M5RT), multivariate adaptive regression spline (MARS), principal component …
tree (M5RT), multivariate adaptive regression spline (MARS), principal component …