Application of Serial Crystallography for Merging Incomplete Macromolecular Crystallography Datasets by Ki Hyun Nam

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Technology and Application Development of Medical Foundation Model by Xiaohong Chen, Liu Liu, Yige Yuan, Junpu Wang, Dayuan Li, Jianhua Qiu

“…Moreover, application challenges of the medical foundation model are identified in terms of data security, technical risks, implementing challenges, and ethics. …”
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Application Placement in the Cloud Continuum With Resource Overbooking by Ivan Mongiardo, Luisa Massari, Maria Carla Calzarossa, Belen Bermejo, Daniele Tessera

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Examining the applicability of hard data protection law on demographically identifiable information (DII): the case of humanitarian UAV/drone images in Malawi by Rogers Alunge Alunge Nnangsope

“…First, it sought to establish the feasibility of their application among the humanitarian community: to this end, 20 semi-structured interviews were conducted with humanitarian officials operating in the country, with results showing that these officials largely believed the MDPB principles and rights could effectively govern their drone data processes. …”
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Applicability of the series resistance model in predicting the permeability of coated papers to oxygen and water vapor: importance of data quality and associated metadata by Allison Vercasson, Sébastien Gaucel, Nathalie Gontard, Hélène Angellier-Coussy, Valérie Guillard

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Blockchain Applications in the Military Domain: A Systematic Review by Nikos Kostopoulos, Yannis C. Stamatiou, Constantinos Halkiopoulos, Hera Antonopoulou

“…<i>Methods:</i> A systematic review of 43 peer-reviewed articles was performed to discover the applications of blockchain in defense. Key areas analyzed include the role of blockchain in securing communications, fostering transparency, promoting real-time data sharing, and using smart contracts for maintenance management. …”
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Realizing the potential of Internet of Things (IoT) in Industrial applications by Bharat Rathi, S. Thapaswi, Meghana Kambhampati, Vineet Jain, P. Akshay, Trilok Nath Pandey, Sunil Kumar Pradhan

“…Abstract The Internet of Things (IoT), which enables seamless connectivity and effective data exchange between physical items and digital systems, has completely changed the way we interact with our surroundings. …”
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Application of Machine Learning Methods for Gravity Anomaly Prediction by Katima Zhanakulova, Bakhberde Adebiyet, Elmira Orynbassarova, Ainur Yerzhankyzy, Khaini-Kamal Kassymkanova, Roza Abdykalykova, Maksat Zakariya

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Application of Machine Learning Models for Baseball Outcome Prediction by Tzu-Chien Lo, Chen-Yin Lee, Chien-Lin Chen, Tsung-Yu Hsieh, Che-Hsiu Chen, Yen-Kuang Lin

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Improving maize water stress diagnosis accuracy by integrating multimodal UAVs data and leaf area index inversion model by Qi Liu, Xiaolong Hu, Yiqiang Zhang, Liangsheng Shi, Wei Yang, Yixuan Yang, Ruxin Zhang, Dongliang Zhang, Ze Miao, Yifan Wang, Zhongyi Qu

“…Unmanned aerial vehicles (UAVs) allow field monitoring of crop water status using multimodal UAV data. However, the accuracy and evaluation of predictive models in large-scale applications remain challenging issues. …”
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Fleet‐Wide Data‐Driven Model Generation Process for Residual‐Based Fault Detection in Wind Energy by Théodore Raymond, Sylvie Charbonnier, Christophe Bérenguer, Alexis Lebranchu

“…Moreover, existing condition monitoring processes proposed for wind turbines are defined for a scope reduced to a single manufacturer and to a set of components that does not include all the critical ones, which does not guarantee their possible deployment across a fleet. In this paper, a data‐driven automatic model generation method for fault detection, applicable to an entire fleet of wind turbines, is presented. …”
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Valuing the Recreational Uses of Pakistan’s Wetlands: An Application of the Travel Cost Method by Iftikhar Hussain Adil, Ali Dehlavi

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Bootstrap Confidence Intervals for the Parameter of the Poisson-Sujatha Distribution and Their Applications to Agriculture by Wararit Panichkitkosolkul, ch Ponkaew

“…Moreover, the effectiveness of the bootstrap confidence intervals was proven through their application to agricultural data sets. The calculations offer significant evidence in favor of the suggested bootstrap confidence intervals.…”
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Improving lameness detection in cows: A machine learning algorithm application by Elma Dervić, Caspar Matzhold, Christa Egger-Danner, Franz Steininger, Peter Klimek

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Bayesian Network in Structural Health Monitoring: Theoretical Background and Applications Review by Qi-Ang Wang, Ao-Wen Lu, Yi-Qing Ni, Jun-Fang Wang, Zhan-Guo Ma

“…The Bayesian network, as a probabilistic reasoning tool, offers a novel technological pathway for SHM due to its strengths in handling uncertainties and multi-source data fusion. This study systematically reviews the core applications of the Bayesian network in SHM, including damage prediction, data fusion, uncertainty modeling, and decision support. …”
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Innovative practice of archival data development workflow in the AGI era: a case study of scientist archives project by Yaming Fu, Jie Song, Xinran Zhang, Jingyun Bi

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Broadband a priori temporal cross-covariances for the geomagnetic inverse problem: application to the satellite era by Romain Claveau, Nicolas Gillet, Pierre-Olivier Amblard, Christopher C. Finlay

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A New Zero–Inflated Regression Model with Applications to Australian Health Survey and Biochemistry Graduate Students Data by Caner Tanış, Mahmoud M. Mansour, Enayat M. Abd Elrazik, Christophe Chesneau, Hazem Al-Mofleh, Ahmed Z. Afify

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A Dynamic Model-Fitting Algorithm for Batch Laboratory Data: Application to Constant-Pressure Cake Filtration Experiments by Belmiro P. M. Duarte, Maria J. Moura, Lino O. Santos, Nuno M. C. Oliveira

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Evaluating the Application of a Perturbation-Based Inertia Estimation Methodology With Synchrophasor Data of the Brazilian Interconnected Power System by Juliana Luiza Pereira, Guido Rossetto Moraes, Raul Torres Bernardo, Daniel Dotta, Augusto Tietz, Antonio Felipe da Cunha De Aquino, Diego Issicaba

“…This paper presents the application of a methodology for estimating the inertia of generator groups of the Brazilian Interconnected Power System (BIPS) using phasor measurement unit (PMU) data acquired at 230 kV transmission substations. …”
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