A Bivariate Weibull Distribution and its Applications in Reliability by Katherine Davies, Debanjan Mitra, William Volterman

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Application of Artificial Intelligence in Medical Imaging: Current Status and Future Directions by Yixin Yang, Lan Ye, Zhanhui Feng

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A Review of Point Cloud Fusion Technology: Methods, Applications, and Challenges by Shaojing SONG, Xinjian LI, Feiyi FANG

“…As an important method of 3D (Three-Dimensional) data processing, point cloud fusion technology has shown great potential and promising applications in many fields. …”
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Few-shot Learning in Intelligent Agriculture: A Review of Methods and Applications by Sezai Ercisli, Jingbin Li, Kangle Song, Yi Wang, Huting Wang, Yichen Yuan, Jing Nie, Yang Li

“…As an important complement to deep learning, few-shot learning focuses on pattern recognition tasks under the constraint of limited data, which can be used to solve practical problems in many application fields with data scarcity. …”
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Application of Machine Learning Models in Social Sciences: Managing Nonlinear Relationships by Theodoros Kyriazos, Mary Poga

“…This chapter demonstrates that while machine learning models provide robust solutions for modeling nonlinear relationships, their successful application in social sciences requires careful attention to data quality, model selection, validation, and ethical considerations. …”
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Research and Application of EMU Axle Temperature Sensor Fault Diagnosis Strategy by LU Qinsong, DAI Jisheng, ZHAN Yanhao

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Data stewardship and curation practices in AI-based genomics and automated microscopy image analysis for high-throughput screening studies: promoting robust and ethical AI applications by Asefa Adimasu Taddese, Assefa Chekole Addis, Bjorn T. Tam

“…The integration of diverse data types—ranging from sequencing and clinical data to proteomic and imaging data—highlighted the complexity and expansive scope of AI applications in these fields. …”
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Leveraging mixed-effects regression trees for the analysis of high-dimensional longitudinal data to identify the low and high-risk subgroups: simulation study with application to genetic study by Mina Jahangiri, Anoshirvan Kazemnejad, Keith S. Goldfeld, Maryam S. Daneshpour, Mehdi Momen, Shayan Mostafaei, Davood Khalili, Mahdi Akbarzadeh

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Optimizing Machine Learning Models with Data-level Approximate Computing: The Role of Diverse Sampling, Precision Scaling, Quantization and Feature Selection Strategies by Ayad M. Dalloo, Amjad J. Humaidi

“…The combined application of these methods by selecting 3 features and quantizing the data values to 8 levels, then applying random sampling with 30% reductions and scaling the precision at 5 bits resulted in reductions of 87.5% in computation, 76.9% in memory usage, and 17% in delay, without any degradation in accuracy, as validated by tenfold cross-validation, Training Data validation, and full dataset validation. …”
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Blockchain Technology and GDPR Compliance: A Comprehensive Applicability Model by Abouzar Arabsorkhi, Elham Khazaei

Subjects: “…blockchain applications…”
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Application of machine learning for seam profile identification in robotic welding by Fatemeh Habibkhah, Mehrdad Moallem

“…This paper addresses critical challenges in automated robotic welding, emphasizing precise weld groove profiling for pipe welding applications. By integrating advanced laser scanning technology with the Local Outlier Factor (LOF) algorithm, the research effectively mitigates outliers and compensates for incomplete data—persistent issues in dynamic manufacturing environments. …”
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Smart cities, smart systems: A comprehensive review of system dynamics model applications in urban studies in the big data era by Gift Fabolude, Charles Knoble, Anvy Vu, Danlin Yu

“…The paper concludes by advocating for new approaches that reduce assumptions and promote real-time applicable models, contributing to a comprehensive understanding of urban sustainability through the synergy of big data and SD models.…”
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Discussion on key technologies in micro-CT experiments and their applications in oil and gas exploration by Xiangsheng HUANG, Chengfei LUO, Qun ZHANG, Jinding CHEN, Yaoyuan ZHANG, Xiaowen LIU

“…However, unified standards for key control parameters and data processing methods have yet to be established, significantly affecting data accuracy and comparability. …”
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A Systematic Literature Review of Concept Drift Mitigation in Time-Series Applications by Mujaheed Abdullahi, Hitham Alhussian, Norshakirah Aziz, Said Jadid Abdulkadir, Yahia Baashar, Abdussalam Ahmed Alashhab, Afroza Afrin

“…Machine Learning (ML) plays a key role in time-series applications because it analyzes observed data and predicts future values. …”
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Application of the LDA model to identify topics in telemedicine conversations on the X social network by Mario Sierra Martín, Fang-Wei Chen, Pilar Alarcón Urbistondo

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Digital signal processing application in nuclear spectroscopy by O. V. Zeynalova, Sh. S. Zeynalov, F.-J. Hambsch, S. Oberstedt

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ArtProtect: Blockchain and NFC‐based anti‐counterfeit system for physical art by Cindy Handoko Tantowibowo, Wei‐Chuen Yau

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Smart Contracts and the Problems Likely to Appear in the Field of Private Law Regarding Its Possible Implementation by Mükerrem Onur Başar

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A predictive model of non-suicidal self-injury - a study based on the construction and validation of a nomogram by YuJie Liu, YuJie Liu, TaiMin Wu, Shu Yan, Yang Zhou, Lianzhong Liu

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Multi-source meteorological data assessment on daily runoff simulation in the upper reaches of the Hei River, Northwest China by Huazhu Xue, Yaheng Wang, Guotao Dong, Chenchen Zhang, Yaokang Lian, Hui Wu

Subjects: “…Multi-source meteorological data…”
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