Results 31 to 40 of about 18,271 (163)
ANFIS for risk estimation in risk-based access control model for smart homes [PDF]
, 2022 The risk-based access control model is one of the dynamic models that use the security risk as a criterion to decide the access decision for each access request.
Gary B. Wills +3 more
core +1 more source
The Application of ANN and ANFIS Prediction Models for Thermal Error Compensation on CNC Machine Tools [PDF]
Thermal errors can have significant effects on Computer Numerical Control (CNC) machine tool accuracy. The errors come from thermal deformations of the machine elements caused by heat sources within the machine structure or from ambient temperature ...
Abdulshahed, Ali
core +3 more sources
IATSS Research, 2020 Until now, considerable efforts have been made to determine which modelling technique performs the best for predicting accident frequency based on crash data.
Amir Mohammadian Amiri +2 more
doaj +1 more source
Prediction of suspended sediment distributions using data mining algorithms
Ain Shams Engineering Journal, 2021 Distribution of sediment concentration in open-channel flows, particularly in rivers, is one of the most important factors in understanding the river behavior, water quality, and design of hydraulic structures.
Yaser Mehri +2 more
doaj +1 more source
Energy Science &Engineering, EarlyView.A Tri‐Meta Hybrid DOA–CSA–WOA Maximum Power Point Tracking controller is developed to enhance photovoltaic system performance. The proposed approach achieves higher tracking efficiency, faster convergence, and robust operation under dynamic irradiance and partial shading conditions.
Ali Abbas +6 more
wiley +1 more source
Düzce Üniversitesi Bilim ve Teknoloji Dergisi, 2021 Buharlaşma, yeryüzünde bulunan suyun atmosfere transferi olarak tanımlanabilmektedir. Buharlaşma miktarının doğru tahmini özellikle kurak dönemler ve kurak alanlarda büyük öneme sahiptir.
Özlem Terzi, Tahsin Baykal
doaj +1 more source
Food Chemistry International, EarlyView.Thermo‐sonication parameters were optimized to maximize PPO inactivation while maintaining overall juice quality. ANFIS demonstrated superior predictive accuracy with higher R2 and lower RMSE compared to RSM. Further, the quality assessment of treated juice highlighted the potential of thermo‐sonication as a sustainable alternative to conventional ...
Sumaiya Fatima, Vivek Kumar
wiley +1 more source
Research progress on the depth of anesthesia monitoring based on the electroencephalogram
Ibrain, Volume 11, Issue 1, Page 32-43, Spring 2025.Electroencephalogram (EEG) can noninvasive, continuous, and real‐time monitor the state of brain electrical activity, and the monitoring of EEG can reflect changes in the depth of anesthesia (DOA). The development of artificial intelligence can enable anesthesiologists to extract, analyze, and quantify DOA from complex EEG data.
Xiaolan He, Tingting Li, Xiao Wang
wiley +1 more source