Results 81 to 90 of about 6,515,077 (343)

Automatic Detection of Fiber Optic Gyroscope Intrinsic Frequency Based on Optimal Projection Approximation

Photonics, 2023
To address the complexity and low detection accuracy issues in the intrinsic frequency detection process of fiber optic gyroscopes, a highly precise automatic measurement method based on optimal projection approximation is proposed.
Jintao Xu, Ailing Tian
doaj   +1 more source

Detecting Slow Wave Sleep Using a Single EEG Signal Channel [PDF]

, 2015
Background: In addition to the cost and complexity of processing multiple signal channels, manual sleep staging is also tedious, time consuming, and error-prone. The aim of this paper is to propose an automatic slow wave sleep (SWS) detection method that
Hong, Chih-Yuan, Luo, Yuxi, Nagurka, Mark L., Su, Bo-Lin, Yen, Chen-Wen   +4 more
core   +1 more source

Monitoring of circulating tumor DNA allows early detection of disease relapse in patients with operable breast cancer

Molecular Oncology, EarlyView.
Monitoring circulating tumor DNA (ctDNA) in patients with operable breast cancer can reveal disease relapse earlier than radiology in a subset of patients. The failure to detect ctDNA in some patients with recurrent disease suggests that ctDNA could serve as a supplement to other monitoring approaches.
Kristin Løge Aanestad, Marie Austdal, Oddmund Nordgård, Gunnar Mellgren, Satu Oltedal, Marie L. Austbø, Ylva H. Vignes, Thomas Helland, Kristin Jonsdottir, Tone H. Lende, Emilius A. M. Janssen, Bjørnar Gilje, Kjersti Tjensvoll, PBCB study group, Gunnar Mellgren, Tone Hoel Lende, Anette Heie, Kristin Viste, Anita Røyneberg Alvheim, Emiel AM Janssen, Kristin Jonsdottir, Ann Cathrine Kroksveen, Thomas Helland, Einar Gudlaugsson, Oddmund Nordgård, Satu Oltedal, Kristin Løge Aanestad, Jan Terje Kvaløy, Kirsten Lode, Kari Britt Hagen, Marie Austdal, Ylva H. Vignes, Siri Tungland Sola, Nina Egeland Amundsen, Finn Magnus Eliassen, Emeritus Ernst A Lien   +35 more
wiley   +1 more source

"Liar, Liar Pants on Fire": A New Benchmark Dataset for Fake News Detection

, 2017
Automatic fake news detection is a challenging problem in deception detection, and it has tremendous real-world political and social impacts. However, statistical approaches to combating fake news has been dramatically limited by the lack of labeled ...
Wang, William Yang
core   +1 more source

Fruit Detection and Recognition Based on Deep Learning for Automatic Harvesting: An Overview and Review

Agronomy, 2023
Continuing progress in machine learning (ML) has led to significant advancements in agricultural tasks. Due to its strong ability to extract high-dimensional features from fruit images, deep learning (DL) is widely used in fruit detection and automatic ...
Feng Xiao, Haibin Wang, Yueqin Xu, Ruiqing Zhang   +3 more
semanticscholar   +1 more source

Developing evidence‐based, cost‐effective P4 cancer medicine for driving innovation in prevention, therapeutics, patient care and reducing healthcare inequalities

Molecular Oncology, EarlyView.
The cancer problem is increasing globally with projections up to the year 2050 showing unfavourable outcomes in terms of incidence and cancer‐related deaths. The main challenges are prevention, improved therapeutics resulting in increased cure rates and enhanced health‐related quality of life.
Ulrik Ringborg, Joachim von Braun, Julio Celis, Anton Berns, Michael Baumann, Tit Albreht, Nancy Abou‐Zeid, Vanderlei Bagnato, Christian Brandts, Chien‐Jen Chen, Massimiliano di Pietro, Manjit Dosanjh, Thomas Dubois, Alexander Eggermont, Angelika Eggert, Ingemar Ernberg, Sara Faithfull, Johannes Förner, Stefan Fröhling, Manuel Heitor, Leroy Hood, Wei Jiang, Bengt Jönsson, Ravi Kannan, Maria Leptin, Su Li, Peter Lindgren, Douglas Lowy, Jun Ma, Alex Markham, Péter Nagy, Simon Oberst, M. Iqbal Parker, Danielle Rodin, Kevin Ryan, Joachim Schüz, Richard Sullivan, Josep Tabernero, Peter Turkson, Oliver Várhelyi, Harold Varmus, Chijie Wang, Elisabete Weiderpass, Nils Wilking   +43 more
wiley   +1 more source

An Automatic System for Remote Monitoring of Bactrocera dorsalis Population

Agriculture
Bactrocera dorsalis (Hendel, 1912) is a highly destructive pest affecting fruits and vegetables, making population monitoring essential for farmers to implement timely control measures.
Shao-Ping Chen, Shi-Lei Zhu, Rong-Zhou Qiu, Mei-Xiang Chi, Yan Shi, Jia-Xiong Chen, Yong Liang, Jian Zhao   +7 more
doaj   +1 more source

T-spline based unifying registration procedure for free-form surface workpieces in intelligent CMM [PDF]

, 2017
With the development of the modern manufacturing industry, the free-form surface is widely used in various fields, and the automatic detection of a free-form surface is an important function of future intelligent three-coordinate measuring machines (CMMs)
Han, Zhenhua, Liu, Shugui, Ma, Xinhui, Wang, Yingmo, Zhang, Guoxiong, Zhang, Xiaodong   +5 more
core   +2 more sources

Automatically Detecting Workflows in PubChem [PDF]

SLAS Discovery, 2012
Public databases that store the data from small-molecule screens are a rich and untapped resource of chemical and biological information. However, screening databases are unorganized, which makes interpreting their data difficult. We propose a method of inferring workflow graphs--which encode the relationships between assays in screening projects ...
Bradley T, Calhoun, Michael R, Browning, Brian R, Chen, Joshua A, Bittker, S Joshua, Swamidass   +4 more
openaire   +2 more sources

Automatic Detection of Melanoma with Yolo Deep Convolutional Neural Networks

E-Health and Bioengineering Conference, 2019
In the past three years, deep convolutional neural networks (DCNNs) have achieved promising results in detecting skin cancer. However, improving the accuracy and efficiency of the automatic detection of melanoma is still urgent due to the visual ...
Yali Nie, P. Sommella, M. O’nils, C. Liguori, J. Lundgren   +4 more
semanticscholar   +1 more source