Optimized UVC-based antifouling system for moored applications by Robert Mars, Bennet Krebs, Mathis Bjoerner, Marialena Christopoulou, Oliver Zielinski

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A review of machine learning applications in heart health by Ava Perrone, Taghi M. Khoshgoftaar

“…Although many applications of machine learning have been well studied, there remain substantial opportunities for advancement. …”
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An innovative contactless current sensor for smart grids applications by Khaled Osmani, Lachlan Jones, Detlef Schulz

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One‐Fit‐All Transformer for Multimodal Geophysical Inversion: Method and Application by Yiran Jiang, Jianwei Ma, Jieyuan Ning, Jiaqi Li, Han Wu, Tiezhao Bao

“…While deep learning has the potential to address these challenges, issues such as data representation and domain transformation limit the development of universally applicable deep learning‐based inversion methods across various geophysical scenarios. …”
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The application of virtual instrument technology to design of a performance inspect system of tractor by BAO Yi-dan, WANG Li-da, CAI Jiang-ping

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Daily Rainfall Patterns During Storm “Daniel” Based on Different Satellite Data by Stavros Kolios, Niki Papavasileiou

Subjects: “…satellite-based rainfall data…”
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Reducing Bias in Beta Regression Models Using Jackknifed Liu-Type Estimators: Applications to Chemical Data by Solmaz Seifollahi, Hossein Bevrani, Olayan Albalawi

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PMinrKG: polymetallic mineral resources knowledge graph construction and its applications integrated with multimodal data by Miao Tian, Zhong Xie, Qinjun Qiu, Qirui Wu, Jianguo Chen, Yuxi Duan, Liufeng Tao

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Retracted: Statistical Inference and Mathematical Properties of Burr X Logistic-Exponential Distribution with Applications to Engineering Data by Journal of Mathematics

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Machine learning approaches for spatial omics data analysis in digital pathology: tools and applications in genitourinary oncology by Hojung Kim, Hojung Kim, Jina Kim, Jina Kim, Su Yeon Yeon, Sungyong You, Sungyong You

“…In this review, we survey current trends in the development of computational methods for spatially mapped omics data analysis using digitized histopathology slides and supplementary materials, with an emphasis on tools and applications relevant to genitourinary oncological research. …”
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A Novel HDF-Based Data Compression and Integration Approach to Support BIM-GIS Practical Applications by Zeyu Pan, Jianyong Shi, Liu Jiang

“…Although quite a few theoretical unified data models of BIM and GIS integration have been presented in precedent research, the practical web-based applications and software support for real-world city information modeling are still difficult to achieve. …”
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A new flexible Weibull distribution for modeling real-life data: Improved estimators, properties, and applications by Ahmed Z. Afify, Rehab Alsultan, Abdulaziz S. Alghamdi, Hisham A. Mahran

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How artificial intelligence can enable data classification for market sizing - Insights from applications in practice by L. Stallings, P. Bhat, J. Jacobs, K. Lynch, Q. Risch

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Applications of surface wave modeling for void detection while comparing the data acquired using two sources by Md. Iftekhar Alam, M. Salman Abbasi, Lindsey Riikola

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Learning and Evaluation of Dialogue Strategies for New Applications: Empirical Methods for Optimization from Small Data Sets by Verena Rieser, Oliver Lemon

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Data-driven reduced-order modeling of nonlinear multivalued FRFs: Applications to beam and SDOF gear systems by Hady Mohamed, Nils Brödling, Fabian Duddeck

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Data-Driven Learning Models for Internet of Things Security: Emerging Trends, Applications, Challenges and Future Directions by Oyeniyi Akeem Alimi

“…Thus, effective methodologies for the prompt identification, detection, and mitigation of these menaces are priorities for stakeholders. Recently, data-driven artificial intelligence (AI) models have been considered effective in numerous applications. …”
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Pulse2AI: An Adaptive Framework to Standardize and Process Pulsatile Wearable Sensor Data for Clinical Applications by Sicong Huang, Roozbeh Jafari, Bobak J. Mortazavi

“…<italic>Goal:</italic> To establish Pulse2AI as a reproducible data preprocessing framework for pulsatile signals that generate high-quality machine-learning-ready datasets from raw wearable recordings. …”
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A discrete extension of the Lindley distribution for health and sustainability data: Theoretical insights and decision-making applications by Mahmoud El-Morshedy, Mohamed S. Eliwa, Abhishek Tyagi, Hend S. Shahen

“…Integrating SDG 3 (Good Health and Well-Being) with an innovative discrete probability model for lifetime data provides a comprehensive approach to achieving sustainable health outcomes and analyzing lifetime data within sustainability frameworks. …”
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Big Data Processing Architecture for Radio Signals Empowered by Deep Learning: Concept, Experiment, Applications and Challenges by Shilian Zheng, Shichuan Chen, Lifeng Yang, Jiawei Zhu, Zhenxing Luo, Junjie Hu, Xiaoniu Yang

“…As the information carriers of wireless transmission data, radio signals exhibit the characteristics of big data in terms of volume, variety, value, and velocity. …”
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