Foundations and Innovations in Data Fusion and Ensemble Learning for Effective Consensus by Ke-Lin Du, Rengong Zhang, Bingchun Jiang, Jie Zeng, Jiabin Lu

“…Ensemble learning and data fusion techniques play a crucial role in modern machine learning, enhancing predictive performance, robustness, and generalization. …”
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Development of a Digital Hologram Map Using Bathymetric Data by Jumamurod Farhod Ugli Aralov, Oybek Mirzaevich Narzulloev, Leehwan Hwang, Philippe Gentet, Seunghyun Lee

“…This cognitive burden can lead to misinterpretation, particularly when analyzing complex seafloor structures with subtle variations. Data from the General Bathymetric Chart of the Oceans was used to construct and enhance three-dimensional terrain models within Blender. …”
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Demystifying the Use of Open-Access Data in Smart Heritage Implementations by Shiran Geng, Hing-Wah Chau, Elmira Jamei, Zora Vrcelj

“…This study employed a structured methodology that transitions from global best practices to local applications, linking these data resources to Smart Heritage applications and identifying opportunities for improving urban management, heritage curation, and the tourism experience within the case study precinct. …”
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Improving data processing in medical education through machine learning by N. Shyndaliyev, A. Orynbayeva, K. Shadinova, A. Barakova, N. Nurmukhanbetova

“…Statistical tests supported the hypothesis that structured ML education enhances medical students’ competencies, suggesting that future healthcare professionals trained in ML can better leverage data-driven decision-­making for improved patient care. …”
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Mixed effect gradient boosting for high-dimensional longitudinal data by Oyebayo Ridwan Olaniran, Saidat Fehintola Olaniran, Jeza Allohibi, Abdulmajeed Atiah Alharbi, Nada MohammedSaeed Alharbi

“…MEGB provides a unified framework for analysing repeated measures data that accommodates complex covariance structures while harnessing gradient boosting’s inherent regularisation for robust feature selection and prediction. …”
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Fitting Time Series Models to Fisheries Data to Ascertain Age by Kathleen S. Kirch, Norou Diawara, Cynthia M. Jones

“…We propose three new applications of time series models to validate the existence of the yearly sawtooth wave patterned data: autoregressive integrated moving average (ARIMA), unobserved component, and copula. …”
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Dynamic Pattern Matching on Encrypted Data With Forward and Backward Security by Xiaolu Chu, Ke Cheng, Anxiao Song, Jiaxuan Fu

“…Specifically, we design secure addition and deletion algorithms based on fragmentation data structures, which are compatible with the static pattern matching scheme. …”
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Cardiac disease diagnosis based on GAN in case of missing data. by Xing Chen, Na Zhang, Xiaohui Yang, Chunyan Wang, Qi Na, Tianyun Luan, Wendi Zhu, Chenjie Zhang, Chao Yang

“…Given the ambiguous meaning of filling data in other network structures, the attribute matrix is designed to directly convert it into the corresponding data type, making the actual meaning of the filling data more evident. …”
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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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LEMDA: A Lagrangian‐Eulerian Multiscale Data Assimilation Framework by Quanling Deng, Nan Chen, Samuel N. Stechmann, Jiuhua Hu

“…Abstract Lagrangian trajectories are widely used as observations for recovering the underlying flow field via Lagrangian data assimilation (DA). However, the strong nonlinearity in the observational process and the high dimensionality of the problems often cause challenges in applying standard Lagrangian DA. …”
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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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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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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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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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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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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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Kinematics of the Kashmir Himalaya: Inferences from geological and geodetic data by Ahsan Afzal Wani, Bikram Singh Bali, Sareer Ahmad Mir, Mohammad Irfan Wani

“…The GPS data sourced from the permanent GPS network in the Kashmir Himalaya were utilized to quantify both vertical and horizontal deformation rates in the Kashmir Valley of the northwestern Himalaya. …”
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