GRILSS: opening the gateway to global reservoir sedimentation data curation by S. Minocha, F. Hossain

“…By curating the information from numerous sources with disparate formats in a homogenized data structure, GRILSS serves as an invaluable resource for water managers, policymakers, and researchers for improved sediment management strategies. …”
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Deep Learning-Based Data-Assisted Channel Estimation and Detection by Hamidreza Hashempoor, Wan Choi

“…We introduce a novel structure empowered by deep learning models, accompanied by a thorough training methodology, for enhancing channel estimation and data detection in multiple input multiple output (MIMO) orthogonal frequency division multiplexing (OFDM) systems. …”
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Determinants of digital technologies adoption in government census data operations by Kingsley Ofosu-Ampong, Alexander Asmah, John Amoako Kani, Dzifa Bibi

“…Based on the four determinants, a conceptual framework was developed consisting of eight proposed hypotheses tested through a structural equation model. Findings – The findings of the study indicate that technological readiness, self-efficacy and hedonic motivation significantly influence behavioural intention to adopt digital technologies for PHC training and data collection. …”
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CNN Issues in Skin Lesion Classification: Data Distribution and Quantity by Giuliana Ramella, Luca Serino

“…Despite their pivotal role, the most popular CNN architecture families exhibit a critical issue related to the distribution and quantity of available data, potentially compromising their performance and generalization abilities. …”
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Violin Plots: An Enhanced Tool for Data Visualization in Health Studies by Zohreh Shishebor, Zahra Sajjdnia, Maryam Sharafi

“…Statistical tests assume a certain structure in the data; visual inspection helps determine if that assumption is justified. …”
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Patient-specific data fusion defines prognostic cancer subtypes. by Yinyin Yuan, Richard S Savage, Florian Markowetz

“…Different data types can offer complementary perspectives on the same biological phenomenon. …”
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Cyclical hybrid imputation technique for missing values in data sets by Kurban Kotan, Serdar Kırışoğlu

“…The algorithm takes into account individual missing values using column-based imputation features and the overall data structure using row-based imputation features. …”
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Challenges in data collection for enhancing productivity in Brazilian industrial processes by Haroldo Lhou Hasegawa, Rafael Sene de Lima, Vidal Dias da Mota Junior, Ricardo Luiz Perez Teixeira

“…This included content analysis and semi-structured interviews with company managers. Twelve medium-sized enterprises in the metalworking sector were selected, and data were collected from thesis projects conducted between 2017 and 2019. …”
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Operationalising weather surveillance radar data for use in ecological research by Maryna Lukach, Thomas Dally, William Evans, Elizabeth J. Duncan, Lindsay Bennett, Freya I. Addison, William E. Kunin, Jason W. Chapman, Ryan R. Neely, III, Christopher Hassall

“…However, WSR datasets pose new challenges for ecologists due to their format, volume, and three-dimensional spatial structure. Here, we define a novel approach to the processing of WSR data to produce a product that can be used to interrogate trends in aerial biodiversity (abundance or diversity) at and across individual ground-level sites. …”
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Integration and use of climate data by the national health system in Mozambique by Judite Pinto, Nelson Cossa, Mara Ferrari, Patricia S. Coffey, Melanie Picolo, Tatiana Marrufo, Ana Paula Cardoso

“…Methods: In this qualitative study, we collected data from 29 key informants using customized semi-structured questionnaires. …”
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Data Mining Between Classical and Modern Applications: A Review by Ammar Yaseen Abd Alazeez

“…What's more, there are some generally new and energizing zones of information investigation, for example, spatial DM and graph DM that have been made conceivable through the structure squares of DM techniques. This survey not just advantages analyst to create solid examination subjects and distinguish gaps in the research areas yet additionally helps experts for data mining and Big Data (BD) software framework advancement.…”
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Healthcare data governance assessment based on hospital management perspectives by Shinta Oktaviana R, Putu Wuri Handayani, Achmad Nizar Hidayanto, Bambang Budi Siswanto

“…Hospitals are the most prominent health data producers of clinical data and administrative data. …”
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Assessment of Fire Dynamics in the Amazon Basin Through Satellite Data by Humberto Alves Barbosa, Catarina Oliveira Buriti, Tumuluru Venkata Lakshmi Kumar

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Enhancing Wearable Fall Detection System via Synthetic Data by Minakshi Debnath, Sana Alamgeer, Md Shahriar Kabir, Anne H. Ngu

“…To assess the quality of the synthetic data, we use quantitative metrics, including the Fréchet Inception Distance (FID), Discriminative Score, Predictive Score, Jensen–Shannon Divergence (JSD), and Kolmogorov–Smirnov (KS) test, and visually inspect temporal patterns for structural realism. …”
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Constraining viscous-fluid models in f(Q) gravity with data by Shambel Sahlu, Renier T. Hough, Amare Abebe, Álvaro de la Cruz-Dombriz

“…Abstract We investigate the impact of bulk viscosity on the accelerating expansion and large-scale structure formation of a Universe in which the underlying gravitational interaction is described by f(Q) gravity. …”
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Inferring influenza infection attack rate from seroprevalence data. by Joseph T Wu, Kathy Leung, Ranawaka A P M Perera, Daniel K W Chu, Cheuk Kwong Lee, Ivan F N Hung, Che Kit Lin, Su-Vui Lo, Yu-Lung Lau, Gabriel M Leung, Benjamin J Cowling, J S Malik Peiris

“…To illustrate our hypothesis, we used an age-structured transmission model to fully characterize the transmission dynamics and seroprevalence rises of 2009 influenza pandemic A/H1N1 (pdmH1N1) during its first wave in Hong Kong. …”
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Grapes leaf disease dataset for precision agricultureMendeley Data by Madhuri Dharrao, Nilima Zade, R. Kamatchi, Rakesh Sonawane, Rabinder Henry, Deepak Dharrao

“…The dataset is precisely annotated under the guidance and observation of agriculture domain expert and organized in a well-defined folder structure. The dataset captures the two major categories healthy leaves and unhealthy leaves, during cultivation period. …”
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Components of the Open Data Initiative in the National Library and Archives of Iran by Mahboubeh Ghorbani

“…The statistical population of the research was 15 managers and specialists of the organization who were selected with a purposeful method due to their experience and knowledge in the field of data. The data was collected through semi-structured interviews and analyzed and coded with thematic analysis method in MAXQDA. …”
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Data-Driven Approaches in Antimicrobial Resistance: Machine Learning Solutions by Aikaterini Sakagianni, Christina Koufopoulou, Petros Koufopoulos, Sofia Kalantzi, Nikolaos Theodorakis, Maria Nikolaou, Evgenia Paxinou, Dimitris Kalles, Vassilios S. Verykios, Pavlos Myrianthefs, Georgios Feretzakis

“…These techniques were applied to identify clusters based on gene length and distribution according to resistance class, offering insights into the resistance genes’ structural and functional properties. Data preprocessing, such as filtering and normalization, was conducted prior to applying machine learning methods to ensure consistency and accuracy. …”
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Engaging Victims: The Aceh KKR’s Communication Strategy in Data Acquisition by Zakirah Azman, Zurrafiqah Zurrafiqah, Nur Anisah, Nadia Muharman

“…Findings indicate that while KKR has structured efforts in place, improvements are needed. …”
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