Results 101 to 110 of about 1,864,069 (342)

Domain‐Aware Implicit Network for Arbitrary‐Scale Remote Sensing Image Super‐Resolution

Advanced Intelligent Discovery, EarlyView.
Although existing arbitrary‐scale image super‐resolution methods are flexible to reconstruct images with arbitrary scales, the characteristic of training distribution is neglected that there exists domain shift between samples of various scales. In this work, a Domain‐Aware Implicit Network (DAIN) is proposed to handle it from the perspective of domain
Xiaoxuan Ren, Qian Jiang, Xin Jin, Puming Wang, Xing Chu, Shaowen Yao, Shengfa Miao   +6 more
wiley   +1 more source

Assessment of Inventory Management Practices at the Ethiopian Pharmaceuticals Supply Agency, Addis Ababa, Ethiopia

Integrated Pharmacy Research and Practice, 2020
Bekele Boche, Tidenek Mulugeta, Tadesse Gudeta Department of Social and Administrative Pharmacy, School of Pharmacy, Faculty of Health Sciences, Jimma University, Jimma, Oromia, EthiopiaCorrespondence: Tidenek Mulugeta Email tidenek11@gmail.comBackground:
Boche B, Mulugeta T, Gudeta T
doaj  

MODELING PRODUCTIVITY IN SUPERMARKET OPERATIONS: INCORPORATING THE IMPACTS OF STORE CHARACTERISTICS AND INFORMATION TECHNOLOGIES [PDF]

Data from the 2002 Supermarket Panel are used to estimate a supermarket production function with weekly gross margin as the output measure and store selling area and total labor hours as variable inputs.
King, Robert P., Park, Timothy A.
core   +1 more source

Machine‐Learning‐Based, Feature‐Rich Prediction of Alumina Microstructure from Hardness

Advanced Intelligent Discovery, EarlyView.
Herein, high‐performance generative adversarial network (GAN), named ‘Microstructure‐GAN’, is demonstrated. After training, the high‐fidelity, feature‐rich micrographs can be predicted for an arbitrary target hardness. Microstructure details such as small pores and grain boundaries can be observed at the nanometer scale in the predicted 1000 ...
Xiao Geng, Jianan Tang, Ningxuan Wen, Jason Shaw, Siddhartha Sarkar, Lionel Vargas‐Gonzalez, Nicholas Ku, Jianhua Tong, Rajendra K. Bordia, Dongsheng Li, Fei Peng   +10 more
wiley   +1 more source

Combining a Risk Factor Score Designed From Electronic Health Records With a Digital Cytology Image Scoring System to Improve Bladder Cancer Detection: Proof-of-Concept Study

Journal of Medical Internet Research
BackgroundTo reduce the mortality related to bladder cancer, efforts need to be concentrated on early detection of the disease for more effective therapeutic intervention. Strong risk factors (eg, smoking status, age, professional
Sandie Cabon, Sarra Brihi, Riadh Fezzani, Morgane Pierre-Jean, Marc Cuggia, Guillaume Bouzillé   +5 more
doaj   +1 more source

Performance Measures Using Electronic Health Records: Five Case Studies [PDF]

, 2008
Presents the experiences of five provider organizations in developing, testing, and implementing four types of electronic quality-of-care indicators based on EHR data.
Brian L. Hazlehurst, Dean F. Sittig, Elizabeth A. Kind, James T. Krizak, Jinnet Briggs Fowles, Jonathan P. Weiner, Kitty S. Chan, Lynne Dancha, Mark J. Selna, Nancy Jarvis, Patricia J. Coon, Shadi Awwad   +11 more
core  

Outlier detection from ETL Execution trace

, 2011
Extract, Transform, Load (ETL) is an integral part of Data Warehousing (DW) implementation. The commercial tools that are used for this purpose captures lot of execution trace in form of various log files with plethora of information.
Chakrabarti, Amlan, Ghosh, Samiran, Goswami, Saptarsi   +2 more
core   +1 more source

Internet of Things‐Based Framework Application at a University Campus Scale: Linking Smart Monitoring Systems and Stormwater Management

Advanced Intelligent Discovery, EarlyView.
This study presents an Internet of Things‐based stormwater monitoring framework piloted at the University of Maryland campus to support Municipal Separate Stormwater Sewer System compliance and adaptive planning. Developed with key campus stakeholders, the framework integrates real‐time sensor deployment, data‐informed insights on runoff and water ...
Qianyao Si, Priscila B. R. Alves, Mitchell A. Pavao‐Zuckerman, Allen P. Davis, Tara Burke, Bryan S. Quinn, Elizabeth M. Bonsignore, Jennifer A. Cotting, Jason Baer, Kaitlyn Peterson, Pierre Gaunaurd, Tamara L. Clegg, David Loshin, Andrew M. Fellows, Taylor Keen, Gerrit J. Knaap, Marccus D. Hendricks   +16 more
wiley   +1 more source

DATA MINING TECHNOLOGIES [PDF]

Knowledge discovery and data mining software (Knowledge Discovery and Data Mining - KDD) as an interdisciplinary field emersion have been in rapid growth to merge databases, statistics, industries closely related to the desire to extract valuable ...
Titrade Cristina-Maria
core  

Knowledge Discovery In Database untuk Model Online Analytical Processing (Olap) Data Kemiskinan [PDF]

, 2015
Poverty is the main problem in developing countries, both structurally poverty, cultural and natural. That is, poverty is no longer seen as a measure of the failure of the Government to protect and fulfill the basic rights of its citizens but the nation
Mirza, A. H. (Ahmad)
core