An Approach to Situational Data Integration Based on Data Service Hyperlink by Guiling Wang, Feng Zhang, Yanbo Han

“…Enlightened by web page hyperlink，a novel abstraction“data service hyperlink”for linking and integrating data was proposed.With the help of “data service hyperlink”，users can explicitly describe the relationship between data sources.Based on data service hyperlink，the approach to just-in-time data service construction was proposed to enable users integrate data while navigating data services.A data service hyperlink recommendation algorithm was also discussed to help users select proper data service hyperlink to deal with the temporary requirements.A case-study and some experiments how to build a situational data integration application based on data service hyperlink efficiently were presented.…”
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AI Thinking: a framework for rethinking artificial intelligence in practice by Denis Newman-Griffis

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Designing a mobile health platform for effective medical records management in hospitals by C. Yuvarajan, S. Nithya Priya, A. Bhoomadevi

Subjects: “…Clinical data management…”
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Use me wisely: AI-driven assessment for LLM prompting skills development by Dimitri Ognibene, Gregor Donabauer, Emily Theophilou, Cansu Koyuturk, Mona Yavari, Sathya Bursic, Alessia Telari, Alessia Testa, Raffaele Boiano, Davide Taibi, Davinia Hernandez-Leo, Udo Kruschwitz and Martin Ruskov

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A 5-Gb/s 66 dB CMOS Variable-Gain Amplifier With Reconfigurable DC-Offset Cancellation for Multi-Standard Applications by Zhiqing Liu, Yunqiu Wu, Chenxi Zhao, Johannes Benedikt, Kai Kang

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Discerning dynamics in synchrophasor data using topological data analysis by Chetan Mishra, Luigi Vanfretti, Jaime Delaree, Jr., Kevin D. Jones

“…This paper explores the application of topological data analysis (TDA) for capturing relevant dynamic behavior (modes) in ambient synchrophasor data. …”
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Data-Driven Method of Modeling Sparse Flow Field Data by WANG Hongxin, XU Degang, ZHOU Kaiwen, LI Linwen, WEN Xin

“…To solve such problem, a data-driven flow field modeling method framework is proposed, which realizes real-time reconstruction of online flow field by establishing sparse data and high-dimensional flow field mapping offline. …”
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Comprehensive review of artificial intelligence applications in renewable energy systems: current implementations and emerging trends by Chukwuebuka Joseph Ejiyi, Dongsheng Cai, Dara Thomas, Sandra Obiora, Emmanuel Osei-Mensah, Caroline Acen, Francis O. Eze, Francis Sam, Qingxian Zhang, Olusola O. Bamisile

“…This study reviews the current and future applications of Artificial Intelligence in renewable energy, highlighting its transformative role in enhancing the efficiency, reliability, and scalability of renewable energy systems. …”
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Application of big data-based appropriate Traditional Chinese Medicine nursing techniques (基于大数据的中医护理适宜技术应用现状) by LUN Jun (陆俊), ZHANG Chengrui (张呈蕊), XING Ying (邢滢), DONG Qiuting (董秋婷), LUAN Wei (栾伟)

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A Comparative Performance Analysis of Locally Deployed Large Language Models Through a Retrieval-Augmented Generation Educational Assistant Application for Textual Data Extraction by Amitabh Mishra, Nagaraju Brahmanapally

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Nonuniformly Spaced Array with the Direct Data Domain Method for 2D Angle-of-Arrival Measurement in Electronic Support Measures Application from 6 to 18 GHz by Chen Wu, Janaka Elangage

“…Using the steering vector (SV) of the IEPA and the results derived from the D3 method, a new 2D AoA searching method is also developed, which offers frequency-independent performance defined by the probability of AoA estimation, when the required estimation accuracy and signal-to-noise ratio (SNR) are given. For the applications of electronic support measures, this paper also presents the use of precalculated SV and data-transformation matrix databases built on preselected frequency points and a 2D-angle grid that is close to uniformly distributed directions. …”
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An innovative data-driven quantitative prediction method aiming at base groundwater intrusion risk under extra-thick coal seam mining and its practical application by Hao Zhan, Shouqiang Liu, Bo Wu, Qinghan Meng, Yanling Cao, Fan Yang, Qiwei Feng, Wenlong Liu, Wenfeng Zhu, Yangyang Zhao

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Comparison on the application of the software for image-free control UAV data processing of digital landslide: A case study of Huangtupo landslide in the Three Gorges Reservoir area by Yujian HE, Jie DOU, Xiekang WANG, Yonghu FU, Hao MA, Heng WANG

“…High-resolution remote sensing data in the study area are obtained using the Dajiang PHANTOM 4RTK UAV. …”
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An enhancement filter utilizing the modified arctangent function for the structural and tectonic interpretation of causative sources: Application to WGM2012 gravity data from the Rafsanjan Plain, Iran by Fengjun WU, Xin-Ai XU

“…To further assess its applicability, the MAT filter is applied to high-resolution gravity data from the WGM2012 (World Gravity Map) over the Rafsanjan Plain in Iran. …”
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Performance and applicability of low-cost PM sensors to assess global pollution variability through machine learning techniques by Rajat Sharma, Andry Razakamanantsoa, Ashutosh Kumar, Thaseem Thajudeen, Agnès Jullien

“…Nevertheless, the applicability issues were observed due to data reliability and inconsistency, caused by reserve testing of performance parameters for better accuracy, selection and deployment of sensors without considering their fitness for the purpose, and area-specific requirements. …”
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Analysis of power–accuracy trade‐off in digital signal processing applications using low‐power approximate adders by Celia Dharmaraj, Vinita Vasudevan, Nitin Chandrachoodan

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Enhancing Security for Resource-Constrained Smart Cities IoT Applications: Optimizing Cryptographic Techniques with Effective Field Multipliers by Atef Ibrahim, Fayez Gebali

“…This combination of efficiency and security makes the multiplier particularly suitable for integration within encryption processors in resource-constrained IoT edge nodes, where it can enable secure data communication in smart city applications without compromising operational effectiveness or urban development goals.…”
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Applicability of Machine Learning and Mathematical Equations to the Prediction of Total Organic Carbon in Cambrian Shale, Sichuan Basin, China by Majia Zheng, Meng Zhao, Ya Wu, Kangjun Chen, Jiwei Zheng, Xianglu Tang, Dadong Liu

“…Future directions emphasize real-time drilling data integration and quantum computing-enhanced modeling for ultra-deep shale systems, advancing predictive capabilities in tectonically complex basins.…”
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Modeling Fatigue Data of Complex Metallic Alloys Using a Generalized Student’s <i>t</i>-Birnbaum–Saunders Family of Lifetime Models: A Comparative Study with Applications by Farouq Mohammad A. Alam, Fouad Khalawi, Abdulkader Monier Daghistani

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Evaluating the Effect of Surrogate Data Generation on Healthcare Data Assessment by Saeid Sanei, Tracey K. M. Lee, Issam Boukhennoufa, Delaram Jarchi, Xiaojun Zhai, Klaus McDonald-Maier

“…In healthcare applications, often it is not possible to record sufficient data as required for deep learning or data-driven classification and feature detection systems due to the patient condition, various clinical or experimental limitations, or time constraints. …”
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