Results 51 to 60 of about 5,656,159 (367)

CleanNet: Transfer Learning for Scalable Image Classifier Training with Label Noise [PDF]

2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2017
In this paper, we study the problem of learning image classification models with label noise. Existing approaches depending on human supervision are generally not scalable as manually identifying correct or incorrect labels is time-consuming, whereas ...
Kuang-Huei Lee, Xiaodong He, Lei Zhang, Linjun Yang   +3 more
semanticscholar   +1 more source

Redox‐dependent binding and conformational equilibria govern the fluorescence decay of NAD(P)H in living cells

FEBS Letters, EarlyView.
In this work, we reveal how different enzyme binding configurations influence the fluorescence decay of NAD(P)H in live cells using time‐resolved anisotropy imaging and fluorescence lifetime imaging microscopy (FLIM). Mathematical modelling shows that the redox states of the NAD and NADP pools govern these configurations, shaping their fluorescence ...
Thomas S. Blacker, Nimit Mistry, Nicoletta Plotegher, Elizabeth R. Westbrook, Michael D. E. Sewell, John Carroll, Gyorgy Szabadkai, Angus J. Bain, Michael R. Duchen   +8 more
wiley   +1 more source

Numerical modeling techniques for noise emission of free railway wheels

Railway Engineering Science
In this article, we consider the numerical prediction of the noise emission from a wheelset in laboratory conditions. We focus on the fluid–structure interaction leading to sound emission in the fluid domain by analyzing three different methods to ...
Linus Taenzer, Urs Pachale, Bart Van Damme, Andrea Bergamini, Domenico Tallarico   +4 more
doaj   +1 more source

Geometric line-of-sight guidance law with exponential switching sliding mode control for marine vehicles’ path following

Frontiers in Robotics and AI
Marine vehicle guidance and control technology serves as the core support for advancing marine development and enabling scientific exploration. Its accuracy, autonomy, and environmental adaptability directly determine a vehicle’s mission effectiveness in
Chengren Yuan, Chengren Yuan, Changgeng Shuai, Changgeng Shuai, Zhanshuo Zhang, Zhanshuo Zhang, Buyun Li, Buyun Li, Yuqiang Cheng, Yuqiang Cheng, Jianguo Ma, Jianguo Ma   +11 more
doaj   +1 more source

Automated Valve Fault Detection Based on Acoustic Emission Parameters and Artificial Neural Network

MATEC Web of Conferences, 2019
Reciprocating compressor is one of the most popular classes of machines use with wide applications in the industry. However, valve failures in this machine often results unplanned shutdown. Therefore, the effective valve fault detection technique is very
Salah M. Ali Al-Obaidi, Hui K.H., Hee L.M., Leong M. Salman, Mahdi Ali Abdul-Hussain, Abdelrhman Ahmed M., Ali YH   +6 more
doaj   +1 more source

Enhanced Bearing Fault Analysis under Inconstant Loads Conditions by Cosine Weighted K-Nearest Neighbours Model [PDF]

ITM Web of Conferences
Bearing faults often lead to machinery failures, underscoring the importance of analyzing bearing vibrations to avert undesirable consequences. Leveraging Artificial Intelligence (AI) in this context benefits from the strides in intelligent data ...
Yap J.S., Lim M.H., Leong M. Salman
doaj   +1 more source

Noise processes in nanomechanical resonators [PDF]

, 2002
Nanomechanical resonators can be fabricated to achieve high natural resonance frequencies, approaching 1 GHz, with quality factors in excess of 10^(4). These resonators are candidates for use as highly selective rf filters and as precision on-chip clocks.
Cleland, A. N., Roukes, M. L.
core   +1 more source

A large‐scale retrospective study in metastatic breast cancer patients using circulating tumour DNA and machine learning to predict treatment outcome and progression‐free survival

Molecular Oncology, EarlyView.
There is an unmet need in metastatic breast cancer patients to monitor therapy response in real time. In this study, we show how a noninvasive and affordable strategy based on sequencing of plasma samples with longitudinal tracking of tumour fraction paired with a statistical model provides valuable information on treatment response in advance of the ...
Emma J. Beddowes, Mario Ortega Duran, Solon Karapanagiotis, Alistair Martin, Meiling Gao, Riccardo Masina, Ramona Woitek, James Tanner, Fleur Tippin, Justine Kane, Jonathan Lay, Anja Brouwer, Stephen‐John Sammut, Suet‐Feung Chin, Davina Gale, Dana W. Y. Tsui, Sarah‐Jane Dawson, Nitzan Rosenfeld, Maurizio Callari, Oscar M. Rueda, Carlos Caldas   +20 more
wiley   +1 more source

Noise reduction of dental drill noise [PDF]

, 2008
Dental drills produce a characteristic noise that is uncomfortable for patients and is also known to be harmful to dentists under prolonged exposure.
Atherton, MA, Kaymak, E, Millar, BJ, Rotter, KRGR   +3 more
core  

Unsupervised removal of systematic background noise from droplet-based single-cell experiments using CellBender

bioRxiv, 2019
Droplet-based single-cell assays, including single-cell RNA sequencing (scRNA-seq), single-nucleus RNA sequencing (snRNA-seq) and cellular indexing of transcriptomes and epitopes by sequencing (CITE-seq), generate considerable background noise counts ...
Stephen J. Fleming, M. Chaffin, A. Arduini, Amer-Denis Akkad, E. Banks, J. Marioni, A. Philippakis, P. Ellinor, M. Babadi   +8 more
semanticscholar   +1 more source