Construction of a Scientific Literature AI Data System for the Thematic Scenario: Technical Framework Research and Practice by Zhijun CHANG, Li QIAN, Yaoting WU, Yunpeng QU, Yue GONG, Zhixiong ZHANG

“…High-quality data resources for thematic scenarios are the key to training high-performance AI models. Given the complexity of scientific and technological (S&T) literature data and the limitations of its direct use for large-scale model training, there is a urgent need to build a systematic data construction technology framework to process, refine and curate S&T literature resources, and ultimately build a high-quality training corpus for AI applications. …”
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Precision Weed Management for Straw-Mulched Maize Field: Advanced Weed Detection and Targeted Spraying Based on Enhanced YOLO v5s by Xiuhong Wang, Qingjie Wang, Yichen Qiao, Xinyue Zhang, Caiyun Lu, Chao Wang

“…However, in this farming mode, surface straw suppresses weed growth, affecting weed size and position distribution and obscuring the weeds, which hampers effective weed management in the field. Accurate weed identification and localization, along with efficient herbicide application, are crucial for achieving precise, efficient, and intelligent precision agriculture. …”
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EF-net: Accurate edge segmentation for segmenting COVID-19 lung infections from CT images by Wenjin Zhong, Hanwen Zhang

“…EDA efficiently extracts structural and textural features from low-level features, enabling the precise identification of lesion boundaries. …”
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Artificial neural networks for predicting first-lactation 305-day milk yield in crossbred cattle by SM Usman, A Kumar, A Sherasiya, IM Youssef, MM Abo Ghanima, J Chandrakar, R Tiwari, NP Singh, QS Sahib, T Dutt, AA Swelum

“…This has important implications for local dairy farming systems, particularly in data-limited environments, as it offers a practical tool for early identification of high- and low-producing cows. By enabling data-driven selection and culling decisions, the approach supports improved productivity, genetic progress, and economic efficiency in the South African livestock sector. …”
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Electronic nose and machine learning for modern meat inspection by Ivan Shtepliuk, Guillem Domènech-Gil, Viktor Almqvist, Arja Helena Kautto, Ivar Vågsholm, Sofia Boqvist, Jens Eriksson, Donatella Puglisi

“…Using the Optimizable Ensemble model, we achieved a sensitivity of 96.5% and specificity of 95.3% in categorizing fresh and urine-contaminated meat samples. …”
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Classification Based on the Support Vector Machine for Determining Operational Targets for Controlling Electricity Usage With Conventional Meters: A Case Study of Industrial and Bu... by Galih Arisona, Alief Pascal Taruna, Dwi Irwanto, Arif Bijak Bestari, Wildan Juniawan

“…This optimized model contributes to improving PLN’s operational efficiency, offering more accurate identification of electricity theft cases, leading to substantial financial savings by reducing losses from unpaid consumption. …”
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Classification of microscopic images of rock thin sections based on TLCA-ResNet34 by Zhenyu Zhao, Shucheng Tan, Hui Chen, Pengwei Wang, Qinghua Zhang, Haoyu Wei, Zhenlin Zhang

“…By adopting the transfer learning method, a context-aware residual block was designed using the coordinate attention(CA) mechanism, and a targeted TLCA-ResNet34 neural network model was developed. This model is capable of extracting deep-layer feature information from entire rock thin section images, thus achieving the classification and identification of microscopic images. …”
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Integration of Machine Learning and Wavelet Algorithms for Processing Probing Signals: An Example of Oil Wells by Zukhra Abdiakhmetova, Zhanerke Temirbekova

“…By integrating wavelet-based feature extraction with machine learning-driven analysis, this approach enhances the ability to detect complex wave propagation patterns, leading to more precise subsurface modeling. This advancement supports the implementation of smart field technology in Kazakhstan’s oil and gas industry, ultimately improving decision-making speed, operational efficiency, and resource optimization. …”
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Performance enhancement of drone LiB state of charge using extended Kalman filter algorithm by Kamal Anoune, Ismail El Kafazi, Anas El Maliki, Badre Bossoufi, Badr NASIRI, Hana Zekraoui, Mishari Metab Almalki, Thamer A.H. Alghamdi, Mohammed Alenezi

“…This study introduces a more accurate approach to managing drone batteries by improving how the state of charge (SoC) is estimated, focusing on energy efficiency and environmental impact. The key innovation lies in developing a mathematical model to assess battery behavior, combined with Hybrid Pulse Power Characterization testing and Recursive Least Squares with Forgetting Factor for parameter identification. …”
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Design optimization of Bakelite support for LNG ISO tank 40 ft using finite element analysis by Tuswan Tuswan, Taufiq Rafif Naufal, Mursid Ocid, Sari Dian Purnama, Rizal Nandiko, Yuniati Yuniati, Sasmito Agus, Machfudin Andik, Sandjaja Irfan Eko, Utina Muhammad Ridwan, Harmadi Rudias, Muttaqie Teguh

“…This approach enables the identification of efficient material distributions under critical loading conditions, enhancing safety, compliance with ISO 1496 standards, and overall transport efficiency without compromising strength. …”
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Operational Modes and Technical Points for Empowering Urban Park Green Spaces by Digital Technology by Yang ZHANG, Changlin LI, Ninglu ZHANG, Fei WU

“…Through digital technologies such as AI, Large Language Model, and Big Data, improve the unmanned and automated level of the whole process of environmental event response, resource ledger management, and personnel scheduling to achieve cost reduction and efficiency improvement in park operation. 4) “Online + offline” coordinated management in marketing and operation. …”
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Diagnostics of the influence of medical and demographic indicators on regional socio-economic systems by M. A. Barinov

“…The article presents approaches to monitoring and assessing social aspects of regional systems with identification of elements of the health system and demographic components that potentially affect the economic efficiency of functioning of territories. …”
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A machine learning based variable selection algorithm for binary classification of perinatal mortality. by Maryam Sadiq, Ramla Shah

“…The identification of significant predictors with higher model performance is the key objective in classification domain. …”
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THE ROLE OF ARTIFICIAL INTELLIGENCE IN THE DEVELOPMENT OF THE INSURANCE MARKET by Maksym Dubyna, Olha Popelo, Maksym Shvets

“…The study of the modern model of the insurance services market was conducted, which was based on substantiating the essence of this model and identifying specific features of the functioning of the specified market. …”
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Analysis of Congestion-Propagation Time-Lag Characteristics in Air Route Networks Based on Multi-Channel Attention DSNG-BiLSTM by Yue Lv, Yong Tian, Xiao Huang, Haifeng Huang, Bo Zhi, Jiangchen Li

“…First, to account for the interdependency across segments in air route networks, we construct a point–line congestion state assessment model and introduce the FCM-WBO algorithm for precise congestion state identification. …”
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Construction and Application of Intelligent O&M System for Urban Rail Transit Signaling Systems by YU Meng, LU Huaike, LIANG Zhe, FAN Zichao, GAO Ning

“…The goal is to break through the technical and managerial bottlenecks of traditional O&M models and achieve efficient, precise, and sustainable O&M system. …”
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Predictive value of machine learning on fracture risk in osteoporosis: a systematic review and meta-analysis by Min Bao, Jianqian Chao, Na Zhang, Yanqian Wu

“…Objectives Early identification of fracture risk in patients with osteoporosis is essential. …”
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Kernel to computation: identifying optimal feature set for red rice classification by Suma D, Narendra V G, Darshan Holla M, Shreyas, Raviraja Holla M

“…Feature selection was performed using Recursive Feature Elimination and Backward Feature Elimination to enhance model efficiency. Hyperparameter tuning was applied to optimize classification performance, and k-fold cross-validation with statistical significance testing was used to assess generalization and validate model performance differences. …”
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Accounting for Viewshed Area and Animal Availability When Estimating Density and Recruitment of Unmarked White‐Tailed Deer by Molly M. Koeck, Anna K. Moeller, R. Dwayne Elmore, W. Sue Fairbanks, M. Colter Chitwood

“…Many wildlife populations are comprised of individuals with no unique natural markers for individual identification, resulting in need for unmarked abundance models. …”
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RF-PSignal: The Smart Home Gesture Recognition System Based on Channel-Wise Topology and Self-Adaptive Attention by Xiaohang Zhang, Chunhong Yue, Yajun Zhang, Kun Liang, Yanxiang Li

“…Unlike most existing studies that rely on time-series signals for feature extraction and pattern recognition, the system achieves outstanding performance and computational efficiency through a time-series-to-image transformation algorithm and lightweight model design. …”
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