Results 181 to 190 of about 1,031 (236)

Point-of-care ultrasound (POCUS) to the rescue in VA-ECMO. [PDF]

J Ultrason
Qureshi F, Kumar S, Yadav S, Mohammed S, Bhatia P.   +4 more
europepmc   +1 more source

A zero-shot LLM framework for multimodal grievance classification, urgency scoring, and abuse detection in civic feedback systems. [PDF]

Sci Rep
Rajkumar SC, Yuvasini D, Selvarajan S, Sivakumar NR.   +3 more
europepmc   +1 more source

A global comparison of social media bot and human characteristics. [PDF]

Sci Rep
Ng LHX, Carley KM.
europepmc   +1 more source

Early Warning of Infectious Disease Outbreaks Using Social Media and Digital Data: A Scoping Review. [PDF]

Int J Environ Res Public Health
Liscano Y, Anillo Arrieta LA, Montenegro JF, Prieto-Alvarado D, Ordoñez J.   +4 more
europepmc   +1 more source

Insights into long term glass corrosion mechanisms from the Ballidon experiment. [PDF]

Npj Mater Degrad
Thorpe CL, Fisher AJ, Manifold G, Creasey-Gray S, Jackson CM, Stone B, Corkhill CL, Boothman C, Lloyd JR, Hand RJ.   +9 more
europepmc   +1 more source

Semi-automated analysis of HER2 immunohistochemistry in invasive breast carcinoma using whole slide images: utility for interpretation in clinical practice. [PDF]

Pathol Oncol Res
Liao CC, Bakoglu N, Cesmecioglu E, Hanna M, Pareja F, Wen HY, D'Alfonso TM, Brogi E, Yagi Y, Ross DS.   +9 more
europepmc   +1 more source

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Comparison of classifiers for chatter detection

2013 21st Signal Processing and Communications Applications Conference (SIU), 2013
Unstable machine cutting causes chatter and reduces quality of the production. Therefore it must be detected. Several techniques have been presented for this reason. The aim of this study is to determine the data, features and classifiers which fit on chatter detection.
Tuğci, Recep, Çelen, V. Burak A., Özbayoğlu, Ahmet Murat   +2 more
openaire   +2 more sources

An adaptive grinding chatter detection method considering the chatter frequency shift characteristic

Mechanical Systems and Signal Processing, 2020
Abstract At present the majority of the research works on machining chatter detection are based on energy level monitoring of certain chatter frequencies which are premised to be invariant. However, chatter frequencies are very complicated with multi-frequency/frequency band, time-variant characteristics and are also affected by many factors in the ...
Yao Liu, Xiufeng Wang, Jing Lin, Xianguang Kong   +3 more
openaire   +1 more source

Detection and Suppression of Drilling Chatter

Journal of Dynamic Systems, Measurement, and Control, 1994
The paper presents a simple but effective method to detect and suppress chatter in drilling operations. Unlike conventional approaches, complex cutting dynamics in drilling operations do not need to model and analyze in this new approach. Chatter is detected when a large thrust force or torque variation is observed.
Tarng, Y.S., Li, T.C.
openaire   +1 more source

Chatter detection by monitoring spindle drive current

The International Journal of Advanced Manufacturing Technology, 1997
The purpose of this work is to investigate a new method for detecting chatter in milling. In this method, the spindle drive current signal of a vertical milling machine is used for monitoring process instability. Both simulations and experimental work are conducted. Results show that current signals can transmit chatter frequencies reliably.
E. Soliman, F. Ismail
openaire   +1 more source