Results 41 to 50 of about 14,606,600 (299)

Behavioral scoring model for bank customers using data envelopment analysis [PDF]

, 2015
This study proposes a behavior scoring model based on data envelopment analysis (DEA) to classify the customers into the high contribution and low contribution customers.
I-Fei Chen; Chi-Jie Lu; Tian-Shyug Lee; Chung-Ta Lee
core   +1 more source

Scientific and Business Cooperation in the Field of R&D: Researchers Survey, May - July, 2017 [PDF]

, 2022
The purpose of the study: to find out researchers' views on the barriers to science-business collaboration in R&D and the factors that promote it. Major investigated questions: respondents were asked whether they had been involved in joint R&D projects ...
Research and Higher Education Monitoring and Analysis Centre
core  

Field-space autoencoder for scalable climate emulators

npj Artificial Intelligence
High-Resolution Earth system models are essential for capturing local climate change. However, these models are computationally expensive and produce petabyte-scale outputs, limiting their utility for applications such as probabilistic risk assessment ...
Johannes Meuer, Maximilian Witte, Étiénne Plésiat, Thomas Ludwig, Christopher Kadow   +4 more
doaj   +1 more source

The role of health policy in the burden of breast cancer in Brazil

BMC Women's Health, 2017
Background Breast cancer affects millions of women worldwide, particularly in Brazil, where public healthcare system is an important model in health organization and the cost of chronic disease has affected the economy in the first decade of the twenty ...
Francisco Winter dos Santos Figueiredo, Tábata Cristina do Carmo Almeida, Débora Terra Cardial, Érika da Silva Maciel, Fernando Luiz Affonso Fonseca, Fernando Adami   +5 more
doaj   +1 more source

Prediction of SMEs’ R&D performances by machine learning for project selection

Scientific Reports, 2023
To improve the efficiency of government-funded research and development (R&D) programs for small and medium enterprises, it is necessary to make the process of selecting beneficiary firm objective.
Hyoung Sun Yoo, Ye Lim Jung, Seung-Pyo Jun   +2 more
doaj   +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

Insight in Information: from Abstract to Anomaly [PDF]

, 2017
As a result of cheap data storage, nowadays it is not the question if a company or institution collects data or not, but rather how much they collect.
Bertens, R., Sub Algorithmic Data Analysis, Algorithmic Data Analysis   +2 more
core  

Scientific and Business Cooperation in the Field of R&D: Researchers - Leaders Survey, May - July, 2017 [PDF]

, 2022
The purpose of the study: to find out the opinion of researchers - managers about the obstacles to cooperation between science and business in the field of research and development and the factors that promote it.
Research and Higher Education Monitoring and Analysis Centre
core  

Detecting dense text in natural images

IET Computer Vision, 2020
Most existing text detection methods are mainly motivated by deep learning‐based object detection approaches, which may result in serious overlapping between detected text lines, especially in dense text scenarios.
Dianzhuan Jiang, Shengsheng Zhang, Yaping Huang, Qi Zou, Xingyuan Zhang, Mengyang Pu, Junbo Liu   +6 more
doaj   +1 more source

Object-Guided Remote Sensing Image Scene Classification Based on Joint Use of Deep-Learning Classifier and Detector

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2020
Due to the extremely complex composition of remote sensing scenes, REmote Sensing Image Scene Classification (RESISC) is still a challenging task. To further improve classification accuracy, this article introduces a deep-learning detector into RESISC ...
Xiaoliang Yang, Weidong Yan, Weiping Ni, Xifeng Pu, Han Zhang, Maoyu Zhang   +5 more
doaj   +1 more source