Results 41 to 50 of about 17,157 (222)

Comparison of adaptive neuro-fuzzy inference system (ANFIS) and Gaussian processes for machine learning (GPML) algorithms for prediction of skin temperature in lower limb prostheses [PDF]

, 2016
Monitoring of the interface temperature at skin level in lower-limb prosthesis is notoriously complicated. This is due to the flexible nature of the interface liners used impeding the required consistent positioning of the temperature sensors during ...
Buis, Arjan, Glesk, Ivan, Mathur, Neha
core   +1 more source

Rockburst prediction based on data preprocessing and hyperband‐RNN‐DNN

Deep Underground Science and Engineering, EarlyView.
A data preprocessing workflow is proposed to address challenges in rockburst data analysis. Coupled algorithms preprocess the data set, and hyperband optimization is used to enhance RNN performance. Results show that preprocessing improves accuracy, while dense layers enhance model stability and prediction performance.
Yong Fan, Chenxi Yin, Guangdong Yang, Shengyong Ding, Bin Tian   +4 more
wiley   +1 more source

Using Adaptive Neuro-fuzzy Inference System in Processing of Fetal ECG [PDF]

, 2018
Tato práce je zaměřena na využití adaptivního neuro-fuzzy inferenčního systému (ANFIS) ve zpracování plodového EKG. v první části je nastíněna problematika plodového EKG.
Šajnová, Lucie
core  

Design of an Adaptive Neurofuzzy Inference Control System for the Unified Power-Flow Controller [PDF]

, 2011
This paper presents a new approach to control the operation of the unified power-flow controller (UPFC) based on the adaptive neurofuzzy inference controller (ANFIC) concept.
Farrag, Mohamed, Putrus, Ghanim
core   +1 more source

Energy Consumption and CO2 Emissions Forecasting of Transport Sector Using Machine Learning

Energy Science &Engineering, EarlyView.
The transport sector accounts for approximately one‐quarter of Iran's final energy consumption. The energy demand in this sector has the least variation, with petroleum products accounting for more than 85% of the demand. Furthermore, the accelerated growth of energy consumption and the sector's reliance on fossil fuels, which are the main cause of ...
Amir Hossein Akbari, Seyyed Mohammad Hashemi, Meisam Farajollahi   +2 more
wiley   +1 more source

An Intelligent System for Load Forecasting on a Distribution Network

Journal of Digital Food, Energy & Water Systems, 2021
This paper presents an Adaptive Neuro-Fuzzy Inference system (ANFIS) technique for medium-term load forecasting in a distribution network. This technique is an integrated system consisting of fuzzy logic systems and Artificial Neural network (ANN).
Saheed Gbadamosi, Ojo Olukayode Adedayo   +1 more
doaj   +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

Neuro-fuzzy control of bilateral teleoperation system with transmission timedelay and force feedback using Arduino Due board

Majlesi Journal of Electrical Engineering
In this paper, an intelligent adaptive controller is designed to handle the transmission time delay problem in a complex and nonlinear bilateral teleoperation system with force feedback.
Hakima Rahem, Rabah Mellah, Massinissa Zidane, Abdelhakim Saim   +3 more
doaj   +1 more source

Adaptive neuro-fuzzy inference system-based backcalculation approach to airport pavement structural analysis [PDF]

, 2009
This paper describes the application of adaptive neuro-fuzzy inference system (ANFIS) methodology for the backcalculation of airport flexible pavement layer moduli.
Ceylan, Halil, Ceylan, Halil, Gopalakrishnan, Kasthurirangan   +2 more
core   +3 more sources

How AI and Digital Technologies Can Enhance Sustainable Livestock Manure Management: An Overview From Treatment to Distribution

Sustainable Development, EarlyView.
ABSTRACT Sustainable livestock manure management sits at the nexus of climate, nutrient circularity and water quality. This review explores how artificial intelligence (AI) and digital platforms are used across four management stages, that is, treatment, storage, valorisation and distribution, and figures out where integration fails to deliver ...
Zhan Shi, Feihong Liang, Francesco Marinello, Andrea Pezzuolo   +3 more
wiley   +1 more source