Results 81 to 90 of about 7,604,757 (293)

Beyond Visual Scoring: Computational Computed Tomography Analysis for High‐Resolution Computed Tomography–Based Quantification of Interstitial Lung Disease in Inflammatory Rheumatic Disease

Arthritis Care &Research, EarlyView.
Interstitial lung disease (ILD) is a significant cause of morbidity and mortality in patients with inflammatory rheumatic disorders (IRDs). High‐resolution computed tomography (HRCT) is widely considered the gold standard for the noninvasive assessment of ILD; however, its interpretation is constrained by substantial interobserver variability and the ...
Alexander Pfeil, Tobias Hoffmann, Ulf Teichgräber, Diane Renz, Denise Beckmann, Gunter Wolf, Nicole Schadewaldt, Bianca Lassen‐Schmidt   +7 more
wiley   +1 more source

Design for novel enhanced weightless neural network and multi-classifier. [PDF]

, 2009
Weightless neural systems have often struggles in terms of speed, performances, and memory issues. There is also lack of sufficient interfacing of weightless neural systems to others systems.
Lorrentz, Pierre
core  

Optical Machine Learning Using Time-Lens Deep Neural NetWorks

, 2021
As a high-throughput data analysis technique, photon time stretching (PTS) is widely used in the monitoring of rare events such as cancer cells, rough waves, and the study of electronic and optical transient dynamics.
Caiyun Li, Yange Liu, Jian Zhao, Zhi Wang, Huiyi Guo, Congcong Liu, Luhe Zhang, Jiangyong He, Kaiyan Zhu, Mengjie Zhou, Longfei Zhu   +10 more
core   +1 more source

Vertically hierarchical electro-photonic neural network by cascading element-wise multiplication

APL Photonics
Integrated photonic neural networks (PNNs) usually adopt traditional convolutional neural network (CNN) or multilayer perceptron (MLP) network models.
Guangwei Cong, Noritsugu Yamamoto, Rai Kou, Yuriko Maegami, Shu Namiki, Koji Yamada   +5 more
doaj   +1 more source

Automated Hand Flexor Tendon–Thickness Measurement in Systemic Sclerosis

Arthritis Care &Research, EarlyView.
Objective Systemic sclerosis (SSc) can affect flexor tendons, contributing to hand function problems and reduced quality of life. Tendon changes are currently assessed with ultrasonography and measured manually, a time‐consuming process prone to interobserver variability.
Mark Greveling, Ties van het Erve, Yvette van de Berg, Simon Mastbergen, Julia Spierings   +4 more
wiley   +1 more source

Regeneration of 200 Gbit/s PAM4 Signal Produced by Silicon Microring Modulator (SiMRM) Using Mach–Zehnder Interferometer (MZI)-Based Optical Neural Network (ONN)

We propose and demonstrate a Mach–Zehnder Interferometer (MZI)-based optical neural network (ONN) to classify and regenerate a four-level pulse-amplitude modulation (PAM4) signal with high inter-symbol interference (ISI) generated experimentally by
Hon Ki Tsang, Tun-Yao Hung, Chi-Wai Chow, Ching-Wei Peng, David W. U Chan   +4 more
core   +1 more source

Investigation of Resonance Characteristics of More Than 10 000 Metal‐Coated Silicon MEMS Cantilevers Using Machine Learning

Advanced Engineering Materials, EarlyView.
More than 10 000 metal‐coated silicon MEMS cantilevers are fabricated and characterized to build a large‐scale experimental dataset spanning multiple vibrational modes. Machine learning algorithms are benchmarked to predict resonance frequency and quality factor, with ensemble based models achieving accuracy approaching experimental uncertainty.
Sina Zare Pakzad, Saurabh Thorat, Andre Loch Gesing, Dominik Huber, Christopher Zellner, Patrick Egger, Georg Pfusterschmied, Ulrich Schmid, Michael Schneider   +8 more
wiley   +1 more source

Neural network based optical network restoration with multiple classes of traffic

, 2003
Neural-network-based optical network restoration is illustrated over an example in which multiple classes of traffic are considered. Over the pre-planned primary and backup capacity, optimal routing and wavelength assignment is carried out.
Bilgen, Semih, Gokisik, D
core  

Integrated van der Waals waveguides for all-optical nonlinear photonic circuits

Nature Communications
All-optical deep neural networks offer significant improvements in processing speed and energy efficiency compared with traditional electronic systems.
Xiaowen Zhang, Xiangpeng Ou, Zhican Zhou, Han Xiao, Yuxuan Huang, Chen Liu, Yujia Zhai, Xiaofeng Liu, Xixiang Zhang, Yating Wan   +9 more
doaj   +1 more source

Optoelectronic Synaptic Devices Using Molecular Telluride Phase‐Change Inks for Three‐Factor Learning

Advanced Functional Materials, EarlyView.
Optoelectronic synaptic devices based on solution‐processed molecular telluride GST‐225 phase‐change inks are demonstrated for three‐factor learning. A global optical signal broadcast through a silicon waveguide induces non‐volatile conductance updates exclusively in locally electrically flagged memristors.
Kevin Portner, Dhananjeya Kumaar, Giacomo Torti, Killian Keller, Till Zellweger, Florian M. Schenk, Christoph Weilenmann, Daniel Chelladurai, Vara Prasad Jonnalagadda, Ghazi Sarwat Syed, Vanessa Wood, Jürg Leuthold, Alexandros Emboras, Maksym Yarema, Mathieu Luisier   +14 more
wiley   +1 more source