Novel hybrid intelligence models for flood-susceptibility prediction: Meta optimization of the GMDH and SVR models with the genetic algorithm and harmony search
Floods are among the deadliest natural hazards for humans and the environment.
Identifying the most flood-susceptible areas is a fundamental step in the development of …
Identifying the most flood-susceptible areas is a fundamental step in the development of …
Predicting tunnel boring machine performance through a new model based on the group method of data handling
M Koopialipoor, SS Nikouei, A Marto… - Bulletin of Engineering …, 2019 - Springer
The tunnel boring machine (TBM), developed within the past few decades, is designed to
make the process of tunnel excavation safer and more economical. The use of TBMs in civil …
make the process of tunnel excavation safer and more economical. The use of TBMs in civil …
Groundwater level response identification by hybrid wavelet–machine learning conjunction models using meteorological data
Due to its heterogeneous and complex nature, groundwater modeling needs great effort to
quantify the aquifer, a crucial tool for policymakers and hydrogeologists to understand the …
quantify the aquifer, a crucial tool for policymakers and hydrogeologists to understand the …
[HTML][HTML] Daily reservoir inflow forecasting using weather forecast downscaling and rainfall-runoff modeling: Application to Urmia Lake basin, Iran
Study region This study develops the first daily runoff forecast system for Bukan reservoir in
Urmia Lake basin (ULB), Iran, a region suffering from water shortages and competing water …
Urmia Lake basin (ULB), Iran, a region suffering from water shortages and competing water …
Groundwater level simulation using soft computing methods with emphasis on major meteorological components
Precise estimation of groundwater level (GWL) might be of great importance for attaining
sustainable development goals and integrated water resources management. Compared …
sustainable development goals and integrated water resources management. Compared …
A hybrid wavelet–machine learning model for qanat water flow prediction
In many parts of semiarid and arid regions, qanats are the leading supplier of water demand
for agricultural and drinking usage. Qanat is an ancient collecting water system, and qanat …
for agricultural and drinking usage. Qanat is an ancient collecting water system, and qanat …
Modelling and multi-objective optimization of a variable valve-timing spark-ignition engine using polynomial neural networks and evolutionary algorithms
K Atashkari, N Nariman-Zadeh, M Gölcü… - Energy Conversion and …, 2007 - Elsevier
The main reason for the efficiency decrease at part load conditions for four-stroke spark-
ignition (SI) engines is the flow restriction at the cross-sectional area of the intake system …
ignition (SI) engines is the flow restriction at the cross-sectional area of the intake system …
[PDF][PDF] Application of new TOPSIS approach to identify the most significant risk factor and continuous monitoring of death of COVID-19. Electron J Gen Med. 2020; 17 …
A pandemic is a disease that spreads across a large area like multiple continents or
worldwide. More than 211 nations are already affected by Covid-19. The World Health …
worldwide. More than 211 nations are already affected by Covid-19. The World Health …
Piles shaft capacity from CPT and CPTu data by polynomial neural networks and genetic algorithms
H Ardalan, A Eslami, N Nariman-Zadeh - Computers and Geotechnics, 2009 - Elsevier
Cone penetration test (CPT) is one of the most common in situ tests which is used for pile
design because it can be realized as a model pile. The measured cone resistance (qc) and …
design because it can be realized as a model pile. The measured cone resistance (qc) and …
Estimation of unconfined aquifer transmissivity using a comparative study of machine learning models
Groundwater management is key to attaining sustainable development goals, especially in
arid and semi-arid countries. Hence, a precise estimate of the aquifer hydrodynamic …
arid and semi-arid countries. Hence, a precise estimate of the aquifer hydrodynamic …