From Code to Concept: A Semantic Approach to AI Innovation Discovery in Open Source Software Repositories by Inna Novalija, Dumitru Roman, Federico Belotti, Vladimir Alexiev, Luis Rei, Roberto Avogadro, Babak Khalilvandian, Boyan Bechev, Catalina Alexandra Chinie, Iulia Ciurea, Janez Brank, Cosmin Udroiu, Ahmet Soylu, Matteo Palmonari

“…A knowledge graph is constructed to represent relationships among AI topics, projects, and companies, thereby enabling structured innovation tracking. The approach addresses challenges such as data sparsity and noise, demonstrating strengths in semantic annotation and topic categorization. …”
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Generating synthetic images for construction machinery data augmentation utilizing context-aware object placement by Yujie Lu, Bo Liu, Wei Wei, Bo Xiao, Zhangding Liu, Wensheng Li

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A Chinese Few-Shot Named-Entity Recognition Model Based on Multi-Label Prompts and Boundary Information by Cong Zhou, Baohua Huang, Yunjie Ling

“…Compared to English, Chinese NER not only has issues such as complex grammatical structures, polysemy, and entity nesting but also faces low-resource scenarios in specific domains due to difficulties in sample annotation. …”
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Real Estate Attribute Value Extraction Using Large Language Models by Michal Kvet, Miroslav Potocar, Slavomir Tatarka

“…Attribute value extraction (AVE) is critical in transforming unstructured text into structured data for various applications. While existing datasets for AVE predominantly focus on e-commerce and English language data, there is a lack of publicly available datasets tailored to other domains. …”
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Situational Awareness Prediction for Remote Tower Controllers Based on Eye-Tracking and Heart Rate Variability Data by Weijun Pan, Ruihan Liang, Yuhao Wang, Dajiang Song, Zirui Yin

“…The annotated dataset containing 25 ET and HRV features is trained using the LightGBM model optimized by a Tree-structured Parzen Estimator, and feature selection and model interpretation are performed using the SHapley Additive exPlanations (SHAP) analysis. …”
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Stomata morphology measurement with interactive machine learning: accuracy, speed, and biological relevance? by Tomke S. Wacker, Abraham G. Smith, Signe M. Jensen, Theresa Pflüger, Viktor G. Hertz, Eva Rosenqvist, Fulai Liu, Dorte B. Dresbøll

“…In this study, we evaluate the suitability of a U-Net-based interactive ML software with corrective annotation for stomatal morphology phenotyping. The approach enables non-ML experts to efficiently segment stomatal structures across diverse datasets, including images from different plant species, magnifications, and imprint methods. …”
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The complete mitochondrial genome of Tenguna medogensis (Hemiptera: Dictyopharidae) by Fang Yu, Zhi-Shun Song

“…The predicted secondary structures of all tRNA genes were typical cloverleaf except for trnS (gcu) and trnV (uac), lacking the dihydrouridine stem. …”
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De novo assembly and comparative analysis of the first complete mitogenome in Distylium (Distylium racemosum) by Yaling Wang, Zhongxiao Zhang, Xinru Chen, Honghe Li, Chi Ma, Penghui Guo

“…The mitogenome comprises a longer circular chromosome and a shorter linear chromosome (904,264 bp in total length), revealing a structurally complex conformation. We annotated 67 genes, including 43 protein-coding genes (PCGs), 21 tRNA genes, and three rRNA genes. …”
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Interior design assistant algorithm based on indoor scene analysis by Lu Zhang

“…To achieve superior interior design outcomes, it is essential to accurately identify and locate indoor objects and structures. However, the common algorithms currently rely too much on color images and manual annotation. …”
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THEORETICAL BASIS OF EPIDEMIC PROCESS by SERGEY L. Kolpakov

“…Epidemic process considers diseases at the population level that demands understanding principles of research object definition and determination of the research subject, representing a concept content. I structured the concept content, logical models of epidemic process, and mechanisms of its development. …”
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Metagenomics Insights into the Role of Microbial Communities in Mycotoxin Accumulation During Maize Ripening and Storage by Xuheng Nie, Xuefeng Chen, Xianli Lu, Shuiyan Yang, Xin Wang, Fuying Liu, Jin Yang, Ying Guo, Huirong Shi, Hui Xu, Xiang Zhang, Maoliang Fang, Yin Tao, Chao Liu

“…Mycotoxin concentrations were quantified through standardized assays, while microbial community structures were characterized using metagenomics sequencing. …”
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Multi-Stage Image Aesthetic Assessment via Chain-of-Thought Reasoning by Zhenglang Jiang, Jianhao Liu, Hongming Li, Yue Liu, Yu Song

“…Furthermore, we explore an MLLM-oriented data transformation paradigm to convert multi-source IAA datasets into structured, Chain-of-Thought-compatible data, facilitating convenient attribute annotation. …”
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Cross-Encoder-Based Semantic Evaluation of Extractive and Generative Question Answering in Low-Resourced African Languages by Funebi Francis Ijebu, Yuanchao Liu, Chengjie Sun, Nobert Jere, Ibomoiye Domor Mienye, Udoinyang Godwin Inyang

“…Transfer learning with state-of-the-art models has been beneficial in this regard, but the performance of low-resource African languages with morphologically rich grammatical structures and unique typologies has shown deficiencies linkable to evaluation techniques and scarce training data. …”
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On obtaining the coupled-mode theory using a model of coupled plane waves for symmetric resonant diffraction gratings by D.A. Bykov, E.A. Bezus, L.L. Doskolovich

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Optical vortices in add-drop filters by B.P. Lapin, S.S. Aliyeva, M.A. Yavorsky, C.N. Alexeyev

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Volumetric atlas of the rat inner ear from microCT and iDISCO+ cleared temporal bones by Daniele Cossellu, Elisa Vivado, Laura Batti, Ivana Gantar, Roberto Pizzala, Paola Perin

“…However, the Waxholm rat atlas only contains a low-resolution inner ear featuring five structures. In the present work, we segmented and annotated 34 structures in the rat inner ear, yielding a detailed volumetric inner ear atlas which can be integrated with the Waxholm rat brain atlas. …”
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Prompt Framework for Extracting Scale-Related Knowledge Entities from Chinese Medical Literature: Development and Evaluation Study by Jie Hao, Zhenli Chen, Qinglong Peng, Liang Zhao, Wanqing Zhao, Shan Cong, Junlian Li, Jiao Li, Qing Qian, Haixia Sun

“… BackgroundMeasurement-based care improves patient outcomes by using standardized scales, but its widespread adoption is hindered by the lack of accessible and structured knowledge, particularly in unstructured Chinese medical literature. …”
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Smartphone image dataset for machine learning-based monitoring and analysis of mango growth stagesMendeley Data by Sayem Kabir, Md Fokrul Akon, Mohammad Rifat Ahmmad Rashid, Maheen Islam, Taskeed Jabid, Mohammad Manzurul Islam, Md Sawkat Ali

“…However, practitioners in Bangladesh's mango industry face challenges in leveraging these advanced computational methods due to the lack of standardized and publicly accessible datasets. A well-structured dataset is essential for developing accurate models and reducing misclassification in real-world applications. …”
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Synthetic and real-world datasets for crosswalk segmentation under diverse weather and lighting conditionsMendeley Data by Krešimir Romić, Hrvoje Leventić, Marija Habijan, Irena Galić

“…All images in both synthetic and real-world sets were manually annotated using a custom interface where annotators defined crosswalk regions as quadrilateral polygons, creating binary masks. …”
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OMRoadNet: A Self-Training-Based UDA Framework for Open-Pit Mine Haul Road Extraction from VHR Imagery by Suchuan Tian, Zili Ren, Xingliang Xu, Zhengxiang He, Wanan Lai, Zihan Li, Yuhang Shi

“…Evaluations on cross-domain datasets demonstrate state-of-the-art performance with 92.16% precision, 80.77% F1-score, and 67.75% IoU (intersection over union), outperforming baseline models by 4.3% in precision and reducing annotation dependency by 94.6%. By reducing per-kilometer operational costs by 78% relative to LiDAR (Light Detection and Ranging) alternatives, OMRoadNet establishes a practical solution for intelligent mining infrastructure mapping, bridging the critical gap between structured urban datasets and unstructured mining environments.…”
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