Zobrazeno 1 - 10
of 764
pro vyhledávání: '"Data quality assessment"'
Autor:
Moses Banda Aron, Wiseman Emmanuel Nkhomah, Luckson Dullie, Beatrice Matanje, Chiyembekezo Kachimanga, Enoch Ndarama, Stellar Chibvunde, Manuel Mulwafu, Gladys Mtalimanja Banda, Kondwani Mpinga, Martha Kutsamba, Margaret Mikwamba, Isaac Mphande, Kondwani Matiya, Charles F. Buleya, Mwayi Chunga, Fabien Munyaneza
Publikováno v:
BMC Medical Informatics and Decision Making, Vol 24, Iss 1, Pp 1-11 (2024)
Abstract Background Quality data is crucial in making informed decisions regarding health services; However, the literature suggests that in many LMICs including Malawi, it remains of poor quality. Data quality is measured in terms of completeness, t
Externí odkaz:
https://doaj.org/article/6e05dfb199e24d5da53d4dc1675c2409
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-17 (2024)
Abstract Household electricity consumption (HEC) is changing over time, depends on multiple factors, and leads to effects on the prediction accuracy of the model. The objective of this work is to propose a novel methodology for improving HEC predicti
Externí odkaz:
https://doaj.org/article/8d1e32ed93f84667b289aa6f4ee6141b
Publikováno v:
Journal of Comparative Effectiveness Research, Vol 13, Iss 8 (2024)
In this update, we discuss recent US FDA guidance offering more specific guidelines on appropriate study design and analysis to support causal inference for non-interventional studies and the launch of the European Medicines Agency (EMA) and the Head
Externí odkaz:
https://doaj.org/article/befa342d72734a648f96da9e4e300dce
Publikováno v:
Water Practice and Technology, Vol 19, Iss 3, Pp 1016-1031 (2024)
In this work, operational data collected from four Danish wastewater treatment plants (WWTP) are assessed for quality issues and analyzed to investigate the feasibility of data-driven modeling for control purposes. All plants have permanent N2O senso
Externí odkaz:
https://doaj.org/article/7c3f518c922641a786a4ad02b66d59f8
Autor:
Beryne M. Odeny, Anne Njoroge, Steve Gloyd, James P. Hughes, Bradley H. Wagenaar, Jacob Odhiambo, Lilly M. Nyagah, Ayub Manya, Ooga Wesley Oghera, Nancy Puttkammer
Publikováno v:
BMC Health Services Research, Vol 23, Iss 1, Pp 1-14 (2023)
Abstract Background In this evaluation, we aim to strengthen Routine Health Information Systems (RHIS) through the digitization of data quality assessment (DQA) processes. We leverage electronic data from the Kenya Health Information System (KHIS) wh
Externí odkaz:
https://doaj.org/article/bb147d118a6846578612b86fa4467253
Publikováno v:
Remote Sensing, Vol 16, Iss 15, p 2786 (2024)
For the accurate and automatic mapping of forest stands based on very-high-resolution satellite imagery and digital orthophotos, precise object detection at the individual tree level is necessary. Currently, supervised deep learning models are primar
Externí odkaz:
https://doaj.org/article/65e06253bbdd4b4e88bc45b3831aa3ee
Publikováno v:
Remote Sensing, Vol 16, Iss 13, p 2410 (2024)
The Haiyang-2D (HY2D) satellite is the fourth ocean dynamics environment monitoring satellite launched by China. The satellite operates on a re-entry frozen orbit, which necessitates orbital maneuvers to maintain its designated path once the satellit
Externí odkaz:
https://doaj.org/article/42559b3808864499a419e316d5b40a1a
Autor:
Zongpeng Pan, Yun Xiao
Publikováno v:
Sensors, Vol 24, Iss 13, p 4286 (2024)
Accelerometers are mainly used to measure the non-conservative forces at the center of mass of gravity satellites and are the core payloads of gravity satellites. All kinds of disturbances in the satellite platform and the environment will affect the
Externí odkaz:
https://doaj.org/article/121b82bf8f0f43ec926e27f2f16bae1b
Publikováno v:
Geo-spatial Information Science, Vol 26, Iss 3, Pp 333-345 (2023)
ABSTRACTGeographical studies of outdoor activities have increased in recent years with the rise in popularity of these activities worldwide, including in Japan. Volunteered geographic information (VGI) is a key tool for organizing outdoor activities
Externí odkaz:
https://doaj.org/article/67d4066d688247e6bf3f204e2597c9ef
Publikováno v:
Frontiers in Manufacturing Technology, Vol 4 (2024)
Addressing the challenges of data scarcity and privacy, synthetic data generation offers an innovative solution that advances manufacturing assembly operations and data analytics. Serving as a viable alternative, it enables manufacturers to leverage
Externí odkaz:
https://doaj.org/article/e586a37371fe4bef9460002323fbf1b5