Results 51 to 60 of about 3,578 (185)
Forecasting Carbon Prices: A Literature Review
ABSTRACT Carbon emissions trading is utilized by a growing number of states as a significant tool for addressing greenhouse gas emissions (GHG), global warming problem and the climate crisis. Accurate forecasting of carbon prices is essential for effective policy design and investment strategies in climate change mitigation.
Konstantinos Bisiotis +2 more
wiley +1 more source
Drug Demand Prediction Model Using Adaptive Neuro Fuzzy Inference System (ANFIS)
Drug planning is the process of activities in the selection of types, quantities, and prices in accordance with the needs and budget for the coming procurement period in order to avoid the occurrence of excess or emptiness of drug supplies when needed by patients.
Husein, Amir Mahmud, Simarmata, Allwin M
openaire +3 more sources
Estimation of wind speed profile using adaptive neuro-fuzzy inference system (ANFIS) [PDF]
Wind energy has become a major competitor of traditional fossil fuel energy, particularly with the successful operation of multi-megawatt sized wind turbines. However, wind with reasonable speed is not adequately sustainable everywhere to build an economical wind farm.
Mohandes, M. +2 more
openaire +2 more sources
ABSTRACT Flood loss mapping is one of the essential prerequisites for urban flood assessment studies to identify areas vulnerable to floods and to make cities safe and resilient. This study develops a neuro‐fuzzy loss model to generate flood loss maps, classifying loss levels into several categories ranging from no loss to severe loss.
Mahdi Sedighkia +2 more
wiley +1 more source
Estimation of the GCV of Coal Using Real‐Time Plant Data
ABSTRACT Online or real‐time strategies of estimating the gross calorific value (GCV) of coal are still not fully explored in academic literature, even though both conventional and sophisticated offline methods for estimating the GCV are well described.
Lethukuthula Nokwazi Vilakazi +1 more
wiley +1 more source
Diagnosis Penyakit Jantung Menggunakan Adaptive Neuro-Fuzzy Inference System (ANFIS)
The number of uncertain risk factor in heart disease makes experts difficult to diagnose its disease. Computer technology in the health field is mostly used. In this paper, we implement a system to diagnose heart disease. The used method is Adaptive neuro-fuzzy inference system which combine the advantage of fuzzy and neural network.
openaire +2 more sources
The wind energy potential of Khaf was evaluated for 2025 using 15 years of wind data combined with advanced forecasting models, SARIMAX and Prophet. This integrated framework enables precise estimation of wind power density and optimal turbine selection, paving the way for the efficient and sustainable development of wind farms in the region.
Mohammad Amin Valizadeh +3 more
wiley +1 more source
ADAPTIVE NEURO-FUZZY COMPUTING TECHNIQUE FOR PRECIPITATION ESTIMATION
The paper investigates the accuracy of an adaptive neuro-fuzzy computing technique in precipitation estimation. The monthly precipitation data from 29 synoptic stations in Serbia during 1946-2012 are used as case studies.
Dalibor Petković +2 more
doaj +1 more source
A Neuro-Fuzzy Model for Punching Shear Prediction of Slab-Column Connections Reinforced with FRP [PDF]
In this article, one of the robust systems of soft computing namely adaptive neuro-fuzzy inference system (ANFIS) is used to estimate the punching shear capacity of the concrete column-slab connections reinforced with FRP.
Hosein Naderpour, Masoomeh Mirrashid
doaj +1 more source
Bayesian Neural Network Prediction and Uncertainty Analysis of Bio‐Cemented Soil Strength
ABSTRACT Microbially induced carbonate precipitation (MICP) has emerged as a promising ground improvement technique, with MICP‐treated soils exhibiting substantial enhancements in strength. However, experimental results revealed significant variability in strength outcomes of MICP‐treated soils, even under identical treatment conditions and soil ...
Aoxi Zhang +4 more
wiley +1 more source

