Results 81 to 90 of about 31,148 (230)
Research progress on the depth of anesthesia monitoring based on the electroencephalogram
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
Design of an Adaptive Neurofuzzy Inference Control System for the Unified Power-Flow Controller [PDF]
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
ABSTRACT Understanding the dynamic behavior of structural components is crucial for optimizing performance and ensuring structural integrity. This study presents a new method that combines a systematic experimental investigation of four distinct hole geometries (circular, square, compact rectangular, and long rectangular) with varying hole counts, all ...
Amir Hossein Rabiee +3 more
wiley +1 more source
Pendekatan Fungsi Transfer sebagai Input Adaptive Neuro-Fuzzy Inference System (ANFIS) dalam Peramalan Kecepatan Angin Rata-Rata Harian di Sumenep [PDF]
Angin merupakan aliran udara dari suatu tempat ke tempat yang lain. Kecepatan angin yang melebihi 40 km/jam dapat menyebabkan bencana, misalnya nelayan tidak dapat melaut akibat gelombang laut meninggi dan lain-lain.
Irhamah, I. (Irhamah) +1 more
core
An adaptive neuro-fuzzy propagation model for LoRaWAN [PDF]
This article proposes an adaptive-network-based fuzzy inference system (ANFIS) model for accurate estimation of signal propagation using LoRaWAN. By using ANFIS, the basic knowledge of propagation is embedded into the proposed model.
Curtis, Krystyna +3 more
core +1 more source
MRI, owing to its superior soft tissue contrast and spatial resolution, has become the preferred noninvasive modality for assessing nCRT efficacy. This review synthesizes current evidence on MRI‐based assessment of nCRT efficacy in LARC and discusses future directions.
Shuang Chen +3 more
wiley +1 more source
Enhanced distance protection for HVDC lines using adaptive neuro-fuzzy inference systems.
Accuracy and speed of fault detection are crucial to the performance of DC transmission systems. In this paper, a novel approach is proposed for fault detection, classification, and localization in high-voltage DC transmission lines (HVDC-TLs).
A M Hamada +7 more
doaj +1 more source
Adaptive neuro-fuzzy model with fuzzy clustering for nonlinear prediction and control [PDF]
Nonlinear systems have more complex manner and profoundness than linear systems.Thus, their analyses are much more difficult.This paper presents the use of neuro-fuzzy networks as means of implementing algorithms suitable for nonlinear black-box ...
Al-Himyari, Bayadir Abbas +2 more
core
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 +3 more
wiley +1 more source
Abstract Fiber reinforced polymer (FRP) wrapping technology is commonly used to enhance the compressive strength (CS) of reinforced concrete (RC) members. Accurate prediction of the compressive strength of FRP‐confined concrete columns is crucial for optimizing structural design and helps reduce the time and costs associated with physical testing ...
XuanRui Yu +5 more
wiley +1 more source

