Diagnostic accuracy of case-identification algorithms for heart failure in the general population using routinely collected health data: a systematic review by Anita Andreano, Vito Lepore, Pietro Magnoni, Alberto Milanese, Caterina Fanizza, Deborah Testa, Alessandro Musa, Adele Zanfino, Paola Rebora, Lucia Bisceglia, Antonio Giampiero Russo, the PROPHET-I study group

“…Several algorithms based on administrative health data (HAD) have been developed to detect patients with HF in a timely and inexpensive manner, in order to perform real-world studies at the population level. …”
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Prediction of Global, Diffused and Direct Solar Radiation for Oriented and Inclined Surface Based on Meteorological Data for efficient energy use in the south of Tunisia by mahmoud ben amara, Elhem Rdhaounia, moncef balghouthi

“…The determination of solar radiation data at a given geographic location is very important for the development of solar applications and for the evaluation of their performances. …”
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Interval Prediction of Landslide Displacement Using a Pretrained Large Time Series Model Based on Large-scale Cross-domain Data by Xuhuang Du, Cheng Lian, Bo Xu, Zhiyong Qi, Jin Yuan, You Mou, Bing Li

“…These results highlight the potential of large pre-trained models in addressing data scarcity and improving predictive accuracy in geohazard monitoring applications.…”
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Comparison of DJI Zenmuse L1 and RIEGL miniVUX-3UAV Data for DTM Generation in the Forestry Area for Archaeological Purposes by M. Pilarska-Mazurek, W. Ostrowski, W. Ostrowski, P. Zachar, M. Czarnowicz

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A Comparison of the Meta Quest Pro and HTC Vive Focus 3 Eye-Tracking Systems: Analysis of Data Accuracy and Spatial Precision by Erica Rocchi, Anna Ferrarotti, Marco Carli

“…The rise of Virtual Reality has highlighted eye gaze as a key interaction method. Data reliability becomes critical in this context, with gaze accuracy and precision serving as leading indicators of data quality. …”
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Enhancing land feature classification with the BTR Extractor: A novel software package for high-accuracy analysis of aerial laser scan data by Jamshid Talebi, Zahra Azizi

“…Our findings advocate for the use of supervised algorithms in classifying cloud data for enhanced accuracy and efficiency in remote sensing applications.…”
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Fast 2D forward modeling of electromagnetic propagation well logs using finite element method and data-driven deep learning by A.M. Petrov, A.R. Leonenko, K.N. Danilovskiy, O.V. Nechaev

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A networked station system for high-resolution wind nowcasting in air traffic operations: A data-augmented deep learning approach. by Décio Alves, Fábio Mendonça, Sheikh Shanawaz Mostafa, Diogo Freitas, João Pestana, Dinarte Vieira, Marko Radeta, Fernando Morgado-Dias

“…This study introduces a high-resolution wind nowcasting model designed for aviation applications at Madeira International Airport, a location known for its complex wind patterns. …”
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3D Urban Digital Twinning on the Web with Low-Cost Technology: 3D Geospatial Data and IoT Integration for Wellness Monitoring by Marcello La Guardia

“…Recent advances in computer science and geomatics have enabled the digitalization of complex two-dimensional and three-dimensional spatial environments and the sharing of geospatial data on the web. Simultaneously, the widespread adoption of Internet of Things (IoT) technology has facilitated the rapid deployment of low-cost sensor networks in various scientific applications. …”
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Dynamic Localized SNV, Peak SNV, and Partial Peak SNV: Novel Standardization Methods for Preprocessing of Spectroscopic Data Used in Predictive Modeling by Emily Grisanti, Maria Totska, Stefan Huber, Christina Krick Calderon, Monika Hohmann, Dominic Lingenfelser, Matthias Otto

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Identification of Salt-Stress-Induced Genes from the RNA-Seq Data of Reaumuria trigyna Using Differential-Display Reverse Transcription PCR by Zhen-hua Dang, Qi Qi, Hui-rong Zhang, Hao-yu Li, Shu-Biao Wu, Ying-chun Wang

“…The method presented here successfully identified responsive genes from the massive amount of RNA-seq data. Thus, we suggest that DDRT-PCR could be employed to mine NGS data in a wide range of applications in transcriptomic studies. …”
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Towards Improved Turbomachinery Measurements: A Comprehensive Analysis of Gaussian Process Modeling for a Data-Driven Bayesian Hybrid Measurement Technique by Gonçalo G. Cruz, Xavier Ottavy, Fabrizio Fontaneto

“…This study investigates Gaussian Process (GP) modeling approaches within the framework of a data-driven hybrid measurement technique for turbomachinery applications. …”
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Enhanced Tumor Diagnostics via Cyber-Physical Workflow: Integrating Morphology, Morphometry, and Genomic MultimodalData Analysis and Visualization in Digital Pathology by Marianna Dimitrova Kucarov, Niklolett Szakállas, Béla Molnár, Miklos Kozlovszky

“…Additionally, the intelligent system integrates data from open-access genomic databases for gene-specific molecular pathways and drug targets. …”
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Lessons Learned From European Health Data Projects With Cancer Use Cases: Implementation of Health Standards and Internet of Things Semantic Interoperability by Amelie Gyrard, Somayeh Abedian, Philip Gribbon, George Manias, Rick van Nuland, Kurt Zatloukal, Irina Emilia Nicolae, Gabriel Danciu, Septimiu Nechifor, Luis Marti-Bonmati, Pedro Mallol, Stefano Dalmiani, Serge Autexier, Mario Jendrossek, Ioannis Avramidis, Eva Garcia Alvarez, Petr Holub, Ignacio Blanquer, Anna Boden, Rada Hussein

“… The adoption of the European Health Data Space (EHDS) regulation has made integrating health data critical for both primary and secondary applications. …”
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Universal IoT-Enabled Smart Battery Charging Optimization: Leveraging AI, Automata Theory, and Real-Time Data for Enhanced Lifespan and Efficiency by Arora Divyansh, Goswami Ananya, Ranjan Mritunjay, Sattar Arif Md

“…The system constantly collects and processes data from IoT sensors with real-time charging cycle and battery health feedback. …”
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Modeling Techniques and Boundary Conditions in Abdominal Aortic Aneurysm Analysis: Latest Developments in Simulation and Integration of Machine Learning and Data-Driven Approaches by Burcu Ramazanli, Oyku Yagmur, Efe Cesur Sarioglu, Huseyin Enes Salman

“…However, their reliability depends on high-quality training data derived from CFDs and FEA simulations, where BC modeling plays a crucial role. …”
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De novo non-canonical nanopore basecalling enables private communication using heavily-modified DNA data at single-molecule level by Qingyuan Fan, Xuyang Zhao, Junyao Li, Ronghui Liu, Ming Liu, Qishun Feng, Yanping Long, Yang Fu, Jixian Zhai, Qing Pan, Yi Li

“…Abstract Hidden messages in DNA molecules by employing chemical modifications has been suggested for private data storage and transmission at high information density. …”
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A Hybrid Framework for Enhancing Privacy in Blockchain-Based Personal Data Sharing using Off-Chain Storage and Zero-Knowledge Proofs by Godwin Mandinyenya, Vusumuzi Malele

“…The framework also enables GDPR-compliant erasure by removing encrypted off-chain data while preserving on-chain auditability. Despite challenges such as IPFS latency and trusted setup complexities, the solution offers a scalable and privacy-preserving architecture applicable to real-world domains, especially in privacy-critical environments like healthcare and finance by resolving blockchain’s GDPR compliance paradox.…”
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One-dimensional time-frequency dual-channel visual transformer for bearing fault diagnosis under strong noise and limited data conditions by Shaobin Cai, Yuchen Wang, Wanchen Cai, Yuchang Mo, Liansuo Wei

“…Experiments on the CWRU and PU datasets demonstrate that the proposed model achieves 99.42% and 98.14% accuracy, respectively, under noisy and data-scarce conditions. The results confirm superior noise robustness and diagnostic performance over recent state-of-the-art methods, highlighting its practical potential for real-world industrial applications.…”
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Integrating Humidity‐Resistant and Colorimetric COF‐on‐MOF Sensors with Artificial Intelligence Assisted Data Analysis for Visualization of Volatile Organic Compounds Sensing by Qin Ouyang, Yanna Rong, Gaofan Xia, Quansheng Chen, Yujie Ma, Zhonghua Liu

“…This work paves the way for the direct visualization of sensing processes of VOCs via the integration of advanced humidity‐resistant sensing materials and AI‐assisted data analyzing techniques.…”
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