Exploring why and how commercial organizations contribute to OpenStreetMap by Héctor Ochoa-Ortiz, Barbara Re

“…The motivations behind their contribution to the project are a mixture of their own business benefits, such as to improve the data quality in a source the companies use, and social value motivations, like community-building. …”
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Perbandingan Pengaruh Sistem Surveilans Berbasis Elektronik dan Paper Based Terhadap Kompetensi Pencatatan dan Kemampuan Deteksi Risiko Hais oleh Perawat Di Rumah Sakit Awal... by Novita Simbolon, Hema Malini, Sri Muharni

“…This electronic-based surveillance is assumed to be able to provide higher data quality, faster and easier. However, this still needs to be proven further. …”
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Simulation and prediction of the expansion of OpenStreetMap building data based on the Markov-FLUS model in Shenzhen, China by Sidan Chen, Lingjia Liu, Kaixiang Li, Xiaohui Ding, Wei Jiang

“…Currently, most research focuses primarily on data quality issues, without considering the evolution of OSM buildings. …”
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Modeling Groundwater Resources in Data-Scarce Regions for Sustainable Management: Methodologies and Limits by Iolanda Borzì

“…However, these approaches face common challenges related to data quality, scale transferability, and the representation of complex hydrogeological processes. …”
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Hybrid Technique to Improve the River Water Level Forecasting Using Artificial Neural Network-Based Marine Predators Algorithm by Sarah J. Mohammed, Salah L. Zubaidi, Nadhir Al-Ansari, Hussein Mohammed Ridha, Nabeel Saleem Saad Al-Bdairi

“…Data preprocessing techniques are employed to enhance data quality and determine the optimal input model. Historical data for water level and climatic factors data are utilized from 2011 to 2020 to build and assess the model. …”
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Optimizing Data Interoperability for System Efficiency: One Data Standard in the Government Environment by Herpita Wahyuni, Dyah Mutiarin, Ulung Pribadi, Wahyudi Kumorotomo, Herdin Arie Saputra

“…Organizational needs by carrying out needs analysis, setting standards, developing infrastructure, and managing data quality. Benefit from strategic steps by aligning departments, training, and regular monitoring, as well as scalability and collaboration. …”
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Using WSR-88D Polarimetric Data to Identify Bird-Contaminated Doppler Velocities by Yuan Jiang, Qin Xu, Pengfei Zhang, Kang Nai, Liping Liu

“…As an important part of Doppler velocity data quality control for radar data assimilation and other quantitative applications, an automated technique is developed to identify and remove contaminated velocities by birds, especially migrating birds. …”
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Data Fusion Based Hybrid Approach for the Estimation of Urban Arterial Travel Time by S. P. Anusha, R. A. Anand, L. Vanajakshi

“…The results showed that when data quality is assured (simulated data) the base method performs better. …”
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Let’s talk about language—and its role for replicability by Xenia Schmalz, Johannes Breuer, Mario Haim, Andrea Hildebrandt, Philipp Knöpfle, Anna Yi Leung, Timo Roettger

“…Researchers have proposed several solutions to address these issues, focusing mainly on improving statistical methods, data quality, and transparency. However, relatively little attention has been paid to another key aspect that affects replicability: language. …”
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Federated Learning-Based Credit Card Fraud Detection: A Comparative Analysis of Advanced Machine Learning Models by Zheng Han

“…Federated Averaging (FedAvg) aggregates data from local clients and then creates a global model; fedavg-dwa provides dynamic weight averaging, which enhances each client’s performance based on their data quality. The FedGAT-DCNN model improves accuracy by integrating GAT with Dilated Convolutions to catch spatial and temporal patterns in transaction data. …”
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Machine learning and multi-omics in precision medicine for ME/CFS by Katherine Huang, Brett A. Lidbury, Natalie Thomas, Paul R. Gooley, Christopher W. Armstrong

“…We provide an overview on machine learning concepts for analysing large-scale biological data, highlight key advancements in multi-omics biomarker discovery, data quality and integration strategies, while reflecting on ME/CFS case study examples. …”
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Wind Power Assessment Based on a WRF Wind Simulation with Developed Power Curve Modeling Methods by Zhenhai Guo, Xia Xiao

“…These approaches are improvements on the power curve modeling that is originally fitted by the single layer feed-forward neural network (SLFN) in this paper; in addition, a data quality check and outlier detection technique and the directional curve modeling method are adopted to effectively enhance the original model performance. …”
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The importance and challenges of data collection in risk assessment by Xekalakis Georgios, Fokaides Paris, Christou Petros

“…By continuously refining these methods and maintaining high standards for data quality and ethical considerations, we can better prepare for and mitigate the impacts of natural hazards and climate change. …”
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Power Quality Assessment and Optimization in FUZZY-Driven Healthcare Devices by Dinesh Kumar Nishad, Saifullah Khalid, Rashmi Singh

“…Key challenges, including data quality concerns, cybersecurity risks, and integration with legacy infrastructure, are discussed. …”
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Structural Analysis of Lunar Regolith from LPR CH-2 Data Based on Adaptive f-x E MD: LPR Data Processed by Adaptive f-x EMD by Bin Hu, Deli Wang, Ling Zhang, Zhaofa Zeng

“…These local anomalies appear as diffraction in LPR data, which reduces the data quality and limits the structural analysis of lunar regolith. …”
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Statistical Evaluation of the Material-Source Effect on the Ductility and Elastic Recovery (ER) of Plant-Mix Extracted Asphalt-Binders by Lubinda F. Walubita, Gilberto Martinez-Arguelles, Harshavardhan R. Chunduri, Jose G. Gonzalez Hernandez, Luis Fuentes

“…Overall, the study contributes to enriching the literature on the material-source effects on asphalt-binders’ ER properties, consistency, variability, and data quality. In particular, the study highlights the sensitivity nature of the asphalt-binder ER parameter to material-source effects.…”
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Design of Coffee Disease Detection Web Application Using Image Processing: A Case Study of Kyabugimbi-Kajunju Cooperative Farms in Bushenyi District. by Asiimwe, Mark, Kakuru, Ambrose

“…The methodology involves acquiring high-resolution images, employing pre-processing methods to enhance data quality, and implementing state-of-the-art machine-learning algorithms for disease classification. …”
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Research on Public Administration and Resource Allocation Based on Blockchain and Structured Occupational Therapy by Qiyou Zhu

“…On the basis of summarizing and analyzing the previous published literatures, this study expounded the research status and significance of public administration and resource allocations; elaborated the development background, current status and future challenges of blockchain, and structured occupational therapy; introduced the methods and principles of data quality collaboration model and multiparty collaboration standard management; analyzed the case background of public administration and resource allocation in the prevention and control of the COVID-19 epidemic; discussed the public administration mechanism based on blockchain and structured occupational therapy; established a resource allocation method based on blockchain and structured occupational therapy; fathomed the role of the distributed ledger established by blockchain to increase the information symmetry of public administration activities; proposed a blockchain-established special machine trust for resource allocation; and finally, anatomized the data security sharing and access control mechanism based on blockchain and structured occupational therapy. …”
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Denoising and deconvolving CT images of unknown origin: comparing linear Wiener-deconvolution with deep convolutional neural network Noise2Inverse by Simon Zabler, Antoine Klos, Pierre Lhuissier, Luc Salvo, Maziyar Farahmandi, Simon Wittl

“…This study investigates denoising by N2I with respect to the input data quality, the CNN network architecture and the fidelity of the features in the resulting denoised volume images. …”
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GIS-Based Identification and Analysis of Optimal Evacuation Areas and Routes in Flood-Prone Zones of Swabi District, Pakistan by Sareer Ahmad, Muhammad Waseem, Sadaquat Hussain, Mudassar Munir Shah, Fouzia Perveen Malik, Salman Masood, Megersa Kebede Leta

“…The study’s comprehensive approach, integrating GIS and AHP, provides valuable insights for effective flood management in the Swabi district, despite limitations related to data quality. The findings contribute to resolving flooding issues and offer a foundation for coordinated actions by authorities and communities in flood-prone areas.…”
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