Results 41 to 50 of about 153,188 (292)

Portable Low‐Field Magnetic Resonance Imaging in People With Human Immunodeficiency Virus

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective The aging population of people with HIV (PWH) raises heightened concerns regarding accelerated aging and dementia. Portable, low‐field MRI (LF‐MRI) is an innovative technology that could enhance access and facilitate routine monitoring of PWH.
Annabel Sorby‐Adams, Malachi Keo, Jennifer Guo, Daire Daly, Richard Ahern, Kimon Zachary, Gregory Robbins, Rajesh T. Gandhi, Bragi Sveinsson, Adam de Havenon, Kevin N. Sheth, Otto Rapalino, Juan Eugenio Iglesias Gonzales, W. Taylor Kimberly, Shibani S. Mukerji   +14 more
wiley   +1 more source

Optimized Time–Frequency Analysis for Induction Motor Fault Detection Using Hybrid Differential Evolution and Deep Learning Techniques

International Journal of Adaptive Control and Signal Processing, EarlyView.
Workflow of the parameter optimization process for ITSC fault detection, applying Differential Evolution optimization and the Smooth Pseudo Wigner‐Ville Distribution for signal processing. The optimized parameters are then used in the failure identification pipeline, which combines the signal processing with a YOLO‐based architecture for fault severity
Rafael Martini Silva, Avyner Lorran de Oliveira Vitor, Marcelo Favoretto Castoldi, Alessandro Goedtel, Wesley Angelino Souza   +4 more
wiley   +1 more source

Data‐Driven Distributed Safe Control Design for Multi‐Agent Systems

International Journal of Adaptive Control and Signal Processing, EarlyView.
This paper presents a data‐driven control barrier function (CBF) technique for ensuring safe control of multi‐agent systems (MASs) with uncertain linear dynamics. A data‐driven quadratic programming (QP) optimization is first developed for CBF‐based safe control of single‐agent systems using a nonlinear controller. This approach is then extended to the
Marjan Khaledi, Bahare Kiumarsi
wiley   +1 more source

Perancangan Dan Implementasi Teknologi Virtual Reality Modelling Language 3 Dimensi Pada Pengenalan Perangkat Keras Komputer Berbasis Website

Jurnal Teknologi dan Sistem Komputer, 2015
The purpose of this research is to design and implement the technology of Virtual Reality Modeling Language (VRML) 3D) on the introduction of computer hardware websites based.
Zaskia Wiedya Sahardevi, Oky Dwi Nurhayati, Kurniawan Teguh Martono   +2 more
doaj   +1 more source

MADFAM: MicroArchitectural Data Framework and Methodology

IEEE Access, 2022
In the aftermath of Spectre and Meltdown researchers have proposed a variety of attack detection solutions by applying machine learning to data collected from hardware performance monitoring units.
Tor J. Langehaug, Scott R. Graham, Christine M. Schubert Kabban, Brett J. Borghetti   +3 more
doaj   +1 more source

Hopfield Neural Networks for Online Constrained Parameter Estimation With Time‐Varying Dynamics and Disturbances

International Journal of Adaptive Control and Signal Processing, EarlyView.
This paper proposes two projector‐based Hopfield neural network (HNN) estimators for online, constrained parameter estimation under time‐varying data, additive disturbances, and slowly drifting physical parameters. The first is a constraint‐aware HNN that enforces linear equalities and inequalities (via slack neurons) and continuously tracks the ...
Miguel Pedro Silva
wiley   +1 more source

Liquid Crystal Elastomers Under Confinement: A Review of Template‐Based Fabrication and Applications

Advanced Engineering Materials, EarlyView.
Template‐assisted confinement offers powerful ways to control the alignment, structure, and function of liquid crystal elastomers. This review highlights several templating strategies and details how geometry and interfaces shape material responses.
Meng Zhang, Le Yang, Xinyi Ding, James Phillip Scarbrough, Tushar Narayan Singh, Yuxing Yao, Shucong Li, Xiaoguang Wang   +7 more
wiley   +1 more source

Automatic Salient Object Extraction Based on Locally Adaptive Thresholding to Generate Tactile Graphics

Applied Sciences, 2020
Automatic extraction of salient regions is beneficial for various computer vision applications, such as image segmentation and object recognition. The salient visual information across images is very useful and plays a significant role for the visually ...
Akmalbek Abdusalomov, Mukhriddin Mukhiddinov, Oybek Djuraev, Utkir Khamdamov, Taeg Keun Whangbo   +4 more
doaj   +1 more source

Robot‐Assisted Automated Serial‐Sectioning and Imaging for 3D Microstructural Investigations

Advanced Engineering Materials, EarlyView.
A fully automated 3D microstructure characterization platform provides new insights into materials. This robot‐assisted system performs serial‐sectioning, etching, and optical imaging to generate large‐volume 3D reconstructions with submicron resolution.
Michael Moschetti, Anton Lemiasheuski, Evgenia Bajer, Ilja Porohovoj, Artur Göbel, Anja Pfennig, Dirk Bettge, Robert Maaß   +7 more
wiley   +1 more source

Detection of Twitter Users\' Attitudes about Flu Vaccine based on the Content and Sentiment Analysis of the Sent Tweets

مجله انفورماتیک سلامت و زیست پزشکی, 2019
Introduction: The influenza vaccine is one of the controversial challenges in today's societies. Considering the importance of using the flu vaccine in preventing the spread of influenza virus, the Twitter network, as a rich source of data, provides ...
Zahra Ghanbari, Mohsen Yousefi Nejad, Nima Jafari Navimipour, Mehdi Hosseinzadeh   +3 more
doaj