Image masks of global ship tracks for NASA MODIS data products by Pierce Warburton, Kurtis Shuler, Jake P. Zenker, Lekha Patel

“…In total, 300 images, or around 2,500 masked ship tracks, observed under varying conditions are provided, and may facilitate training of machine learning algorithms to automate extraction.…”
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AI and the News: Challenges Arisen From the Adoption of AI in News Production by George Pleios, Michalis Tastsoglou

“…Nevertheless, a preliminary approach may be proposed, provided that it is founded upon verifiable facts, discernible behaviors, tangible constraints, and practical limitations. …”
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Integrating holographic counterparts for intelligent IoT consumer devices by M. Rajesh, M. Usha, Sathishkumar Veerappampalayam Easwaramoorthy

“…With the help of the suggested architecture, smart devices may function more independently, rely less on centralised servers, and save more accurate data. …”
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Promising methods of prenatal diagnostics based on passive sensors and machine learning by A. A. Ivshin, V. M. Vorobyova, N. A. Malyshev

“…A key component of such technologies is the use of artificial intelligence for signal processing and interpreting, which increases the accuracy and monitoring information content. The main problem is generation of effective data processing algorithms for their accurate and unambiguous interpretation. …”
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Development of an ensemble prediction model for acute graft-versus-host disease in allogeneic transplantation based on machine learning by Lin Song, Xingwei Wu, Mengjia Xu, Ling Xue, Xun Yu, Zongqi Cheng, Chenrong Huang, Liyan Miao

“…Meanwhile, correlation analysis and recursive feature elimination were used for feature screening before machine learning model development. Then fifteen algorithms were used to establish models, and an ensemble model was established through soft voting based on the top five performance algorithms. …”
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Predicting the Risk of Preterm Birth Throughout Pregnancy Based on a Novel Transcriptomic Signature by Yang Pan, Yuxin Ran, Dongni Huang, Nanlin Yin, Yanqing Wen, Yan Jiang, Yamin Liu, Hongbo Qi

“…These findings may contribute to the development of an effective predictive and monitoring system for PTB, thereby reducing maternal and fetal risk.…”
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Combined Analysis of Transcriptome and Mendelian Randomization Reveals AKT1 and PPARG as Biomarkers Related to Glucose Metabolism in Sepsis by Ma J, Li W, Ma Q, Ding L, Wang Z, Wang R, Huang Y, Ma G, Gao J

“…Drug prediction indicated strong interactions between AKT1 and gigantol, and PPARG with echinatin. qRT-PCR showed reduced expression of PPARG and AKT1 in sepsis, aligning with bioinformatics predictions.Conclusion: In summary, AKT1 and PPARG are causally associated with sepsis, showing diagnostic potential. AKT1 may inhibit sepsis development, while PPARG may promote it. …”
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Integration of molecular coarse-grained model into geometric representation learning framework for protein-protein complex property prediction by Yang Yue, Shu Li, Yihua Cheng, Lie Wang, Tingjun Hou, Zexuan Zhu, Shan He

“…While most existing algorithms represent PPI complex graph structures at the atom-scale or residue-scale, these representations can be computationally expensive or may not sufficiently integrate finer chemical-plausible interaction details for improving predictions. …”
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Enhanced Homomorphic Encryption for Cloud Security Through Individual Optimization by Radha Marepalli, Sunitha Vanamala, Manoj Kumar Konda, Venkata Rama Lakshmi Gundala, Prasanthi B.

“…These algorithms are also often referred to as PSO strategies. …”
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Prediction and Mapping of Soil Total Nitrogen Using GF-5 Image Based on Machine Learning Optimization Modeling by LIU Liqi, WEI Guangyuan, ZHOU Ping

“…Three distinct soil TN inversion models were constructed using these algorithms. To optimize model performance, ten-fold cross-validation was employed to determine the optimal parameters for each model. …”
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Examining Nasdaq Market Data and Presenting an Optimized Model by Extreme Gradient Boosting Regression and Artificial Bee Colony by Ali Ahmadpour

“…It also offers decision-makers—such as investors, analysts, and financial institutions—a robust framework for incorporating data-driven strategies into risk assessment and portfolio management. Future work may explore additional datasets, real-time prediction capabilities, and further refinement of optimization algorithms to extend the applicability of these methods to broader financial contexts.…”
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Defect Detection Method for Large-Curvature and Highly Reflective Surfaces Based on Polarization Imaging and Improved YOLOv11 by Zeyu Yu, Dongyun Wang, Hanyang Wu

“…In industrial manufacturing, product quality is of paramount importance, as surface defects not only compromise product appearance but may also lead to functional failures, resulting in substantial economic losses. …”
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Ground state energy and magnetization curve of a frustrated magnetic system from real-time evolution on a digital quantum processor by Aaron Szasz, Ed Younis, Wibe Albert de Jong

“…Models of interacting many-body quantum systems that may realize new exotic phases of matter, notably quantum spin liquids, are challenging to study using even state-of-the-art classical methods such as tensor network simulations. …”
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Impact of Critical Situations on Autonomous Vehicles and Strategies for Improvement by Shahriar Austin Beigi, Byungkyu Brian Park

“…Despite these advancements, AVs may encounter critical situations in real-world scenarios that can lead to severe traffic accidents. …”
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Bibliometric analysis and review of AI-based video generation: research dynamics and application trends (2020–2025) by Wei Xie, Anshu Hu, Qing Xie, Junjie Chen, Ruoyu Wan, Yuhan Liu

“…Our findings the rise of specific architectures, pinpoint high-activity application areas, reveal evolving thematic clusters, and also remarks persistent challenges, including technical hurdles and critical ethical issues such as deepfake detection, algorithmic transparency, and data privacy. By synthesizing these analyses, this study offers a structured overview of the recent landscape, and highlights areas that may warrant further exploration in AI video generation.…”
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Mined Block Withholding and Imposed Fork by Using Mining Pool Alliance Strategic—A Case Study in Bitcoin System by Yean-Fu Wen, Ming-Fang Chen

“…As the difficulty of mining increases, pools may develop competition strategies to reduce time and increase the rewards for mining blocks. …”
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GenAI-Based Jamming and Spoofing Attacks on UAVs by Burcu Sonmez Sarikaya, Serif Bahtiyar

“…Creating effective intrusion detection systems against such attacks has been a significant challenge since there is a lack of sufficient attack data that can be used to design an intrusion detection system with advanced computing algorithms. In this research, we propose a novel framework to create attacks data for UAVs by using generative artificial intelligence algorithms. …”
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Mathematics teachers’ perceptions of computational thinking and its integration into mathematics education by Muhammad Zuhair Zahid

“…The findings reveal that mathematics teachers have oversimplified perspective on some components such as algorithmic thinking and automation, contributing to their vague perception of computational thinking as problem-solving, which may hinder the original purpose of integrating computational thinking into mathematics education. …”
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Current application of artificial intelligence in laparoscopic cholecystectomy by S.M. Chooklin, S.S. Chuklin

“…Advances in AI have made it possible to train algorithms that identify anatomy and interpret the surgical field. …”
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Morph_CNeT: A new GIS tool to extract morphometric attributes characterising channel network topology of Indian catchments by Saroj Rana, Sagar Rohidas Chavan

“…There is a dearth of attempts to utilize these attributes in hydro-geomorphological applications, may be due to the complexity involved in their extraction owing to lack of any algorithmic procedure. …”
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