Applications of machine learning in thermochemical conversion of biomass-A review

SR Naqvi, Z Ullah, SAA Taqvi, MNA Khan, W Farooq… - Fuel, 2023 - Elsevier
Thermochemical conversion of biomass has been considered a promising technique to
produce alternative renewable fuel sources for future energy supply. However, these …

Flood hazard mapping methods: A review

RB Mudashiru, N Sabtu, I Abustan, W Balogun - Journal of hydrology, 2021 - Elsevier
Flood hazard mapping (FHM) has undergone significant development in terms of approach
and capacity of the result to meet the target of policymakers for accurate prediction and …

Flood susceptibility mapping using novel ensembles of adaptive neuro fuzzy inference system and metaheuristic algorithms

SVR Termeh, A Kornejady, HR Pourghasemi… - Science of the Total …, 2018 - Elsevier
Flood is one of the most destructive natural disasters which cause great financial and life
losses per year. Therefore, producing susceptibility maps for flood management are …

Flood susceptibility assessment in Hengfeng area coupling adaptive neuro-fuzzy inference system with genetic algorithm and differential evolution

H Hong, M Panahi, A Shirzadi, T Ma, J Liu… - Science of the total …, 2018 - Elsevier
Floods are among Earth's most common natural hazards, and they cause major economic
losses and seriously affect peoples' lives and health. This paper addresses the development …

Machine learning models of exergoenvironmental damages and emissions social cost for mushroom production

A Nabavi-Pelesaraei, H Ghasemi-Mobtaker, M Salehi… - Agronomy, 2023 - mdpi.com
Applying conventional methods for prediction of environmental impacts in agricultural
production is not actually applicable because they usually ignore other aspects such as …

Spatial prediction of landslide susceptibility using hybrid support vector regression (SVR) and the adaptive neuro-fuzzy inference system (ANFIS) with various …

M Panahi, A Gayen, HR Pourghasemi, F Rezaie… - Science of the Total …, 2020 - Elsevier
Landslides are natural and sometimes quasi-natural hazards that are destructive to natural
resources and cause loss of human life every year. Hence, preparing susceptibility maps for …

Multi-hazard probability assessment and mapping in Iran

HR Pourghasemi, A Gayen, M Panahi, F Rezaie… - Science of the total …, 2019 - Elsevier
Several areas of Iran are prone to numerous natural hazards. An effective multi-hazard risk
reduction requires analysis of the individual hazards and their interplay. This research …

Evaluation of ANN and ANFIS modeling ability in the prediction of AISI 1050 steel machining performance

SO Sada, SC Ikpeseni - Heliyon, 2021 - cell.com
In the development of an accurate modeling technique for the design of an efficient
machining process, manufacturers must be able to identify the most suitable technique …

Machine learning methods applied to drilling rate of penetration prediction and optimization-A review

LFFM Barbosa, A Nascimento, MH Mathias… - Journal of Petroleum …, 2019 - Elsevier
Drilling wells in challenging oil/gas environments implies in large capital expenditure on
wellbore's construction. In order to optimize the drilling related operation, real-time decisions …

Selected AI optimization techniques and applications in geotechnical engineering

KC Onyelowe, FF Mojtahedi, AM Ebid… - Cogent …, 2023 - Taylor & Francis
In an age of depleting earth due to global warming impacting badly on the ozone layer of the
earth system, the need to employ technologies to substitute those engineering practices …