Results 61 to 70 of about 4,688 (196)

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

Experimental Modal Analysis‐Driven Gaussian Process Regression Modeling of Rectangular Steel Beams With Various Hole Geometries

International Journal of Mechanical System Dynamics, EarlyView.
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, Majid Rajaei, Mohammad Hossein Mahdavi Nasab, Parsa Shafiei   +3 more
wiley   +1 more source

MRI‐based qualitative, quantitative, and radiomics/deep learning methods for assessing treatment response after neoadjuvant chemoradiotherapy in patients with locally advanced rectal cancer

Precision Radiation Oncology, EarlyView.
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, Lin Liu, Guangwei Tian, Ruimei Chai   +3 more
wiley   +1 more source

Enhanced distance protection for HVDC lines using adaptive neuro-fuzzy inference systems.

PLoS ONE
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, M I Abdel-Fattah, Ali M El-Rifaie, Fahmi Elsayed, Mohsen A M El-Bendary, Tamer A A Ismail, Ijaz Ahmed, M M R Ahmed   +7 more
doaj   +1 more source

Prediction in Photovoltaic Power by Neural Networks

Energies, 2017
The ability to forecast the power produced by renewable energy plants in the short and middle term is a key issue to allow a high-level penetration of the distributed generation into the grid infrastructure. Forecasting energy production is mandatory for
Antonello Rosato, Rosa Altilio, Rodolfo Araneo, Massimo Panella   +3 more
doaj   +1 more source

MODELLING PRODUCTION UNCERTAINTIES USING THE ADAPTIVE NEURO-FUZZY INFERENCE SYSTEM

The South African Journal of Industrial Engineering, 2015
تقيس إنتاجية الإنتاج أداء وسلوك نظام الإنتاج. تعد نمذجة إنتاجية الإنتاج معقدة بسبب عدم اليقين في خط الإنتاج. درست هذه الدراسة التطبيق المحتمل لنظام الاستدلال العصبي الضبابي التكيفي (ANFIS) لنمذجة إنتاجية الإنتاج في ظل خمس حالات عدم يقين كبيرة في الإنتاج: الخردة، ووقت الإعداد، ووقت الاستراحة، والطلب، ووقت التصنيع.
Amir Azizi, Amir Ali, Loh Wei Ping
openaire   +4 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

Computational intelligence model for predicting the compressive strength of FRP‐confined concrete column

Structural Concrete, EarlyView.
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, Nima Khodadadi, Anxiang Song, Tianyu Hu, Yang Yu, Antonio Nanni   +5 more
wiley   +1 more source

Rainfall Forecasting in Banyuwangi Using Adaptive Neuro Fuzzy Inference System

JITeCS (Journal of Information Technology and Computer Science), 2017
Rainfall forcasting is a non-linear forecasting process that varies according to area and strongly influenced by climate change. It is a difficult process due to complexity of rainfall trend in the previous event and the popularity of Adaptive Neuro ...
Gusti Ahmad Fanshuri Alfarisy, Wayan Firdaus Mahmudy   +1 more
doaj   +1 more source

A Systematic Review on Applications of Artificial Intelligence for Obesity Prevention

Obesity Reviews, EarlyView.
ABSTRACT This systematic review examines the applications of artificial intelligence (AI) in preventing obesity, addressing a critical public health issue that affects a substantial portion of the population. With obesity rates rising alarmingly, particularly in the United States, this review synthesizes findings from 46 studies published between 2008 ...
Atefehsadat Haghighathoseini, Shuo‐yu Lin, Ge Song, Ruopeng An, Hong Xue   +4 more
wiley   +1 more source