Results 51 to 60 of about 67,958,627 (334)

Warranty Data Analysis: A Review [PDF]

, 2012
Warranty claims and supplementary data contain useful information about product quality and reliability. Analysing such data can therefore be of benefit to manufacturers in identifying early warnings of abnormalities in their products, providing useful ...
Ahn, Alam, Attardi, Baik, Blischke, Blischke, Brennan, Buddhakulsomsiri, Buddhakulsomsiri, Chen, Chukova, Davis, Djamaludin, Duchesne, Elkins, Escobar, Fredette, Gertsbakh, Grabert, Honari, Hrycej, Hu, Hu, Hu, Hu, Ion, Iskandar, Jung, Kalbfleisch, Kalbfleisch, Kalbfleisch, Kalbfleisch, Kaminskiy, Karim, Karim, Karim, Karim, Kijima, Kleyner, Kleyner, Kleyner, Krivtsov, Lawless, Lawless, Lawless, Lawless, Lawless, Lawless, Majeske, Majeske, Majeske, Marcorin, Marshall, Meeker, Moskowitz, Murthy, Murthy, Murthy, Murthy, Oh, Pal, Phillips, Phillips, Phillips, Rahman, Rai, Rai, Rai, Robinson, Sahin, Singpurwalla, Singpurwalla, Sureka, Suzuki, Suzuki, Suzuki, Suzuki, Suzuki, Suzuki, Thomas, Thomas, Vinta, Vintr, Vittal, Wang, Wasserman, Wasserman, Wasserman, Wilson, Wu, Wu, Wu, Wu, Wu, Wu, Yang, Yang, Zuo   +97 more
core   +1 more source

European Standard Clinical Practice Guideline and EXPeRT Recommendations for the Diagnosis and Management of Gastroenteropancreatic Neuroendocrine Neoplasms in Children and Adolescents

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Pediatric gastroenteropancreatic neuroendocrine neoplasms (GEP‐NENs) are extremely rare and clinically heterogeneous. Management has largely been extrapolated from adult practice. This European Standard Clinical Practice Guideline (ESCP), developed by the EXPeRT network in collaboration with adult NEN experts, provides (adult) evidence ...
Michaela Kuhlen, Calogero Virgone, Antje Redlich, Michael Abele, Ricardo Lopez‐Almaraz, Tal Ben‐Ami, Ewa Bien, Gianni Bisogno, Maja Mazic Cesen, Andrea Ferrari, Malgorzata A. Krawczyk, Yves Reguerre, Dominik T. Schneider, Ines B. Brecht, Charlotte Rigaud, Bilgehan Yalcin, Rainer Claus, Christian Vokuhl, Constantin Lapa, Jörg Fuchs, Segolene Hescot, Thomas Walter, Julien Hadoux, Daniel Orbach   +23 more
wiley   +1 more source

Big Data Analysis

, 2022
Abstract This chapter defines big data and sets out methodological decisions to be made in big data analysis. It offers ways of researching millions of instances of ‘everyday talk’ in the public sphere, on a scale that is impossible using other methods, and thus especially useful for deliberative systems research.
Franco-Guillén, Núria, De Laile, Sebastian, Parkinson, John   +2 more
openaire   +2 more sources

Doing data analysis [PDF]

, 2010
'Research is about more than empirical evidence, but evidence is at the heart of finding out more about the social and education world. One way of marshalling evidence on a topic, or to answer a research question, is to use the findings of others as ...
Gorard, Stephen
core  

Why and When Are Evidence‐Based Interventions Adopted in Paediatric Supportive Care? A Qualitative Exploration of the Determinants of Photobiomodulation Implementation

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Oral mucositis is a common and debilitating side effect of childhood cancer and stem cell transplant treatments. It affects the quality of life of children and young people (CYP) and places a strain on services. Photobiomodulation is recommended for oral mucositis prevention in international guidance but is poorly implemented in UK ...
Claudia Heggie, Kara A. Gray‐Burrows, Peter F. Day, Bob Phillips, Carl A. Thompson   +4 more
wiley   +1 more source

Multimodal Video Analysis for Crowd Anomaly Detection Using Open Access Tourism Cameras

Applied Sciences
In this article, we propose the detection of crowd anomalies through the extraction of information in the form of time series in video format using a multimodal approach.
Alejandro Dionis-Ros, Joan Vila-Francés, Rafael Magdalena-Benedito, Fernando Mateo, Antonio J. Serrano-López   +4 more
doaj   +1 more source

Detection and identification of tea leaf diseases based on AX-RetinaNet

Scientific Reports, 2022
The accurate detection and identification of tea leaf diseases are conducive to its precise prevention and control. Convolutional neural network (CNN) can automatically extract the features of diseased tea leaves in the images.
Wenxia Bao, Tao Fan, Gensheng Hu, Dong Liang, Haidong Li   +4 more
doaj   +1 more source

Difference Image Analysis of Galactic Microlensing I. Data Analysis

, 1999
This is a preliminary report on the application of Difference Image Analysis (DIA) to galactic bulge images. The aim of this analysis is to increase the sensitivity to the detection of gravitational microlensing.
A. C. Becker, A. J. Drake, A. Tomaney, Alard C., Alard C., Alard C., Ansari R., B. A. Peterson, Bailion P., Beaulieu J. P., C. Alcock, C. W. Stubbs, D. Alves, D. L. Welch, D. Minniti, D. P. Bennett, Dominik M., K. C. Freeman, K. Griest, K. H. Cook, M. J. Lehner, M. R. Pratt, Marshall S., Melchior A.-L., Nemiroff R. J., P. J. Quinn, R. A. Allsman, S. L. Marshall, T. S. Axelrod, T. Vandehei, Udalski A., W. Sutherland   +31 more
core   +1 more source

Dexamethasone for Chemotherapy‐Induced Nausea and Vomiting Prevention in Pediatric Patients: International Consensus

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background An international Delphi panel of experts developed consensus statements to delineate the circumstances where the risks of dexamethasone as an antiemetic do and do not outweigh its benefits. Procedure Experts in supportive care of pediatric patients were invited to participate.
Negar Shavandi, Paula D. Robinson, Shana Jacobs, L. Lee Dupuis, the International Pediatric Dexamethasone Panel, Sameer Bakhshi, Tiene Bauters, Eva Brack, Simone Cesaro, Claire Fosbrook, Jason Freedman, Tamara MacDonald, Eloise Neumann, Venkatraman Radhakrishnan, Rod Rassekh, Florian Slimano, Johnathan Soggee, Joel Thompson, Marianne van de Wetering, Milena Villarroel, Jasper Wong   +20 more
wiley   +1 more source

Extreme Gradient Boosting Beats In-Silico Identification of Proteins Potentially Associated With Alzheimer’s

Applied Computational Intelligence and Soft Computing
Alzheimer’s disease (AD) is a chronic, advanced brain sickness disease that slowly destroys memory and thinking skills and, in the end, the ability to perform routine tasks.
Sadia Khalil, Wajid Arshad Abbasi, Syed Ali Abbas, Maryum Bibi, Saiqa Andleeb, Amsa Shabir   +5 more
doaj   +1 more source