Results 91 to 100 of about 44,389 (247)

Output quality improvement for single‐phase inverter in V2G system

IET Power Electronics
In vehicle‐to‐grid (V2G) applications, a voltage source inverter (VSI) directly connects to a residential load or grid for DC/AC conversion and power flow control.
Yipei Wang, Ancheng Liu, A‐Rim Kwak, Sung‐Jun Park   +3 more
doaj   +1 more source

Changes in Intrinsic Activity of the Primary Somatosensory Cortex Causally Explain Differences in Emotion Perception in Autism

Autism Research, EarlyView.
ABSTRACT Autism Spectrum Disorder (ASD) is characterized by certain difficulties in emotion‐related processing. Recent research using electroencephalography (EEG) to measure somatosensory evoked potentials during emotion perception has shown reduced embodiment of emotional expressions in autistic compared to neurotypical individuals, independently from
Martina Fanghella, Danai Dima, Dimitrios Pinotsis, Sebastian B. Gaigg, Beatriz Calvo‐Merino, Bettina Forster   +5 more
wiley   +1 more source

Artificial intelligence and machine learning‐assisted digital applications for biopharmaceutical manufacturing

Biotechnology Progress, EarlyView.
Abstract Artificial intelligence and automation are no longer just buzzwords in the biopharmaceutical industry. The manufacturing of a class of biologics, comprising monoclonal antibodies, cell therapies, and gene therapies, is far more complex than that of traditional small molecule drugs.
Shyam Panjwani, Hao Wei, John Mason
wiley   +1 more source

Intelligent online process fault diagnosis through integrating Andrews function, autoencoder, and neural networks

The Canadian Journal of Chemical Engineering, EarlyView.
Abstract This paper proposes an online process fault diagnosis scheme that integrates principal component analysis, Andrews function, autoencoder, and multilayer feedforward neural network to enhance the fault diagnosis performance. Useful features are extracted from the online monitoring data by using Andrews function (also known as Andrews plot).
Shengkai Wang, Jie Zhang
wiley   +1 more source

Data‐driven simulation of crude distillation using Aspen HYSYS and comparative machine learning models

The Canadian Journal of Chemical Engineering, EarlyView.
Integrated Aspen HYSYS–machine learning framework for predicting product yields and quality variables. Abstract Crude oil refining is a complex process requiring precise modelling to optimize yield, quality, and efficiency. This study integrates Aspen HYSYS® simulations with machine learning techniques to develop predictive models for key refinery ...
Aldimiro Paixão Domingos, Heleno Bispo, Thiago Vaz da Costa, Sérgio Mauro da Silva Neiro   +3 more
wiley   +1 more source

Coordinated control of active disturbance rejection and grid voltage feedforward for grid‐connected inverters

IET Power Electronics, EarlyView., 2022
This paper introduces the research on the inductance‐capacitor‐capacitor‐inductance grid‐connected inverter using active disturbance rejection and grid voltage feedforward coordinated control technology. The pade approximation is performed on the inductance‐capacitor‐capacitor‐inductance filter to derive the first‐order discretization mathematical ...
Guang‐Xin Zhong, Zhiteng Wang, Jiahua Zhou, Jian Li, Qingyu Su   +4 more
wiley   +1 more source

Lesions Associated With Autism Symptoms Map to a Cerebellar Brain Network in Tuberous Sclerosis Complex

Annals of the Child Neurology Society, EarlyView.
ABSTRACT Objective Autism spectrum disorder (ASD) affects 1 in 36 individuals in the United States and is characterized by impaired social communication and restrictive/repetitive behaviors. Individuals with tuberous sclerosis complex (TSC) have a high incidence of ASD (40%) and exhibit congenital brain lesions (tubers), offering a unique lesion‐based ...
Wendy Xiao Herman, Gillian N. Miller, Mustafa Sahin, Jurriaan M. Peters, Simon K. Warfield, Darcy A. Krueger, E. Martina Bebin, Hope Northrup, Joyce Y. Wu, Michael D. Fox, Alexander L. Cohen   +10 more
wiley   +1 more source

Machine learning based model predictive control for grid connected enhanced switched capacitor cross‐connected switched multi‐level inverter (ESC3SMLI)

IET Power Electronics, EarlyView., 2023
This article describes an enhanced switched capacitor cross‐connected switched multilevel inverter (ESC3SMLI) with machine learning‐based model‐predictive control (ML‐MPCM). An improved switched capacitor cross connected switched multilevel inverter featuring minimal devices are presented. The proposed ESC3SMLI produces nine levels using eight switches,
Arun Vijayakumar, Albert Alexander Stonier, Geno Peter, Ezhil Vignesh, Vivekananda Ganji   +4 more
wiley   +1 more source

Synergistic Enhancement of Modified‐PVDF Humidity Sensitivity via Chemical Adsorption‐Ionic Conductivity and its Application in Intelligent Powered Air‐Purifying Respirator

ENERGY &ENVIRONMENTAL MATERIALS, EarlyView.
The study developed a PVDF/SiO2 humidity sensor with superhydrophobic properties and integrated the humidity sensor into the intelligent powered air‐purifying respirator (IPAPR) for breath monitoring. Coupled with the Gated Recurrent Unit (GRU) machine learning prediction algorithm, it enables feedforward control of the fan to achieve respiratory ...
Xinjian He, Hongwei Liu, Xianjie Xu, Xinkai Qi, Danhong Gao, Hanling Deng, Dusong Hou, Qianyao Lu, Lei Zhu, Sheng Huang   +9 more
wiley   +1 more source

Feedforward Enhanced Control System to Pursue Mathematical Competencies Achievement in Engineering Education

Education Sciences
The learning process can be conceptualized as a dynamic system constantly evolving and adapting in response to a variety of stimuli and inputs. This paper presents a novel approach to competency-based assessment that integrates a dynamic assignment ...
Francisco Mínguez-Aroca, Santiago Moll-López, Nuria Llobregat-Gómez, María-Dolores Roselló, Luis M. Sánchez-Ruiz   +4 more
doaj   +1 more source