Multipath2.0: Extending Multilayer Reproducible Pathway Models with Omics Data by Zaynab Hammoud, Mohammad Al Maaz, Alicia D'Angelo, Frank Kramer

“…The model comprises multiple information relevant to the analysis of pathway data, and offers a reproducible and simplified view of complex, intertwined systems. …”
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Study on Thermal Conductivity Prediction of Granites Using Data Augmentation and Machine Learning by Yongjie Ma, Lin Tian, Fuhang Hu, Jingyong Wang, Echuan Yan, Yanjun Zhang

“…This study provides quantitative evidence for data augmentation and machine learning in predicting rock thermophysical parameters, promoting intelligent geothermal resource development.…”
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Study on Meteorological Disaster Monitoring of Field Fruit Industry by Remote Sensing Data by Gao Bei, Shuyu Zhang, Yanlong Guo, Li Yanli, Ning Hu, Jun Liu

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GDDKIA xml service, road traffic incidents data: availability and quality research by Natalia Dziuba, Stanisław Szombara

“…In order to analyse this data, a web application was developed to visualise the data on a map to identify problems related to the accuracy of locations and the lack of key information. …”
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Data mining methods application in reflexive adaptation realization in e-learning systems by A. S. Bozhday, Y. I. Evseeva, A. A. Gudkov

“…The proposed technology is based on the formulated and formalized principle of reflexive adaptation of software, applicable to a wide class of software systems and based on the discovery of new knowledge in the behavioral products of the system.To solve this problem, methods of data mining were applied. Data mining allows finding regularities in the functioning of software systems, which may not be obvious at the stage of their development. …”
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Enhancing epidemic preparedness: a data-driven system for managing respiratory infections by Moslem Sarani, Katayoun Jahangiri, Manoochehr Karami, Mohammadreza Honarvar

“…In Phase 2, Microsoft Power BI was employed for dashboard development, integrating data from diverse sources. …”
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Uncertainty Quantification and Assimilation Method Based on Evaluated Nuclear Data Sampling Method by HUANG Yihan, ZU Tiejun, LIU Zhengming, CAO Liangzhi, WU Hongchun

“…The sampling method developed based on evaluated nuclear data aims to more accurately quantify uncertainties and adjust prior nuclear data using measurement results and calculation uncertainties. …”

Data-driven discovery of biaxially strained single atoms array for hydrogen production by Tao Zhang, Qitong Ye, Yipu Liu, Qingyi Liu, Zengyu Han, Dongshuang Wu, Zhiming Chen, Yue Li, Hong Jin Fan

“…Our screening results in Au atom anchored on biaxial-strained MoSe2 surface via Au-Se3 bonds. Machine learning analysis identifies four key structural features by classifying the ΔGH* data. …”
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A CGAN-based adversarial attack method for data-driven state estimation by Qi Wang, Jing Zhang, Jianxiong Hu, Shutan Wu, Shiyi Hou, Yi Tang

“…With the development of data science and technology, the data-driven algorithms under the new power system architecture provide support for real-time and accurate state estimation (SE). …”
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Towards Privacy-Aware and Trustworthy Data Sharing Using Blockchain for Edge Intelligence by Youyang Qu, Lichuan Ma, Wenjie Ye, Xuemeng Zhai, Shui Yu, Yunfeng Li, David Smith

“…The popularization of intelligent healthcare devices and big data analytics significantly boosts the development of Smart Healthcare Networks (SHNs). …”
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Data-Driven-Based Full Recovery Technology and System for Transformer Insulating Oil by Feng Chen, Li Wang, Zhiyao Zheng, Bin Pan, Yujia Hu, Kexin Zhang

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Improving subpixel impervious surface estimation based on point of interest (POI) data by Junzhe Wang, Wang Jin, Zheng Cao, Zhiyi Pan, Guang Yang, Yaolong Zhao

“…To form an integrated sample dataset for subpixel ISA estimation, POI data were processed using kernel density analysis and transformed into continuous raster layers compatible with remote sensing imageries. …”
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A comprehensive dataset for understanding immune dynamics in colorectal cancer(Mendeley Data). by Zahra Mokhtari, Elham Amjadi, Hamidreza Bolhasani, Zahra Faghih, Amirreza Dehghanian, Marzieh Rezaei

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Enhancing Industrial Robot Arms Data Security with a Hybrid Encryption Approach by Mustafa Emre Erbil, Hilmi Cenk Bayrakçı, Merdan Özkahraman

“…Additionally, the research conducts a comparative analysis between the ECC-based method and the RSA encryption standard, highlighting the efficiency and effectiveness of the proposed hybrid approach through various tests on different data types and sizes. …”
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Evaluating a Procedural Content Orchestrator Gameplay Data and Classifying User Profiles by Leonardo Tórtoro Pereira, T. Yuji Teoi, Claudio Fabiano Motta Toledo

“…Purpose: Thus, the lack of research in this area hinders the analysis of gameplay data and player profiling in games with orchestrated content. …”
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Data-Driven Technologies for Energy Optimization in Smart Buildings: A Scoping Review by Joy Dalmacio Billanes, Zheng Grace Ma, Bo Nørregaard Jørgensen

“…Factors influencing adoption are categorized into social influences, individual perceptions, cost considerations, security and privacy concerns, and data quality issues. The analysis of business models emphasizes the need to align technological innovations with market needs, focusing on value propositions like cost savings and efficiency improvements. …”
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Utilizing Google Trends data to enhance forecasts and monitor long COVID prevalence by Amanda M. Y. Chu, Jenny T. Y. Tsang, Sophia S. C. Chan, Lupe S. H. Chan, Mike K. P. So

“…In our study, we carefully selected 33 search terms and 20 related topics from the long COVID symptoms list provided by the Centers for Disease Control and Prevention and the database “scite”, and calculated their merged search volumes from Google Trends data using our developed statistical method for analysis. …”
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Improving drug repositioning with negative data labeling using large language models by Milan Picard, Mickael Leclercq, Antoine Bodein, Marie Pier Scott-Boyer, Olivier Perin, Arnaud Droit

“…Abstract Introduction Drug repositioning offers numerous advantages, such as faster development timelines, reduced costs, and lower failure rates in drug development. …”
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Calibrating Strain Measurements: A Comparative Study of DAS, Strainmeter, and Seismic Data by Chih‐Chieh Chien, Peter Gerstoft, William Hatfield, Leo Hollberg, Bradley P. Lipovsky, John‐Morgan Manos, Robert J. Mellors, Dale P. Winebrenner, Mark A. Zumberge

“…To address this, we conducted a comparative analysis of strain data recorded by DAS, Optical Fiber Strainmeters (OFSs), and estimates derived from seismic data. …”
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Estimation of the drift velocity of Equatorial Plasma Bubbles using GNSS and digisonde data by Navas-Portella Víctor, Altadill David, Blanch Estefania, Altadill Mar, Segarra Antoni, de Paula Víctor, Timoté Cristhian Camilo, Juan José Miguel

“…In this work, we present an advanced and more robust version of the method developed by Blanch E et al. (2018, J Space Weather Space Clim., 8, 38–32) for detecting EPBs using data from the Global Navigation Satellite System (GNSS). …”
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