Analysis of Progress in Data Mining of Scientific Literature Using Large Language Models by CAI Yiran, HU Zhengyin, LIU Chunjiang

“…However, significant challenges remain, including insufficient depth of domain knowledge embedding, the low efficiency of multimodal data collaboration, and a lack of model interpretability. …”
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Blockchain digital forensics: technology and architecture by FAN Wei, LI Haibo, ZHANG Zhujun

“…This framework integrated evidence information into the on-chain data structure and introduced a complementary graph analysis algorithm to standardize evidence collection across various scenarios. …”
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Clinically validated graphical approaches identify hepatosplenic multimorbidity in individuals at risk of schistosomiasis by Yin-Cong Zhi, Simon Mpooya, Narcis B. Kabatereine, Betty Nabatte, Christopher K. Opio, Goylette F. Chami

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Design and realization of compressor data abnormality safety monitoring and inducement traceability expert system. by Yuan Wang, Shaolin Hu

“…This method starts from petrochemical big data and consists of three parts: fault dynamic knowledge graph construction, instrument data sliding fault-tolerant filtering, and the fusion and reasoning of fault dynamic knowledge graph and instrument data variation monitoring. …”
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A Registration Method for Historical Maps Based on Self-Supervised Feature Matching by Zikang Qin, Yumin Feng, Gang Wu, Qing Dong, Tianxin Han

“…We then developed an enhanced SuperGlue-based registration framework, optimized for the specific obstacles posed by historical maps, such as low texture and large image size. Additionally, we proposed a self-supervised fine-tuning feature extraction algorithm and a Transformer-based architecture utilizing graph attention mechanisms to refine feature descriptors and enhance feature matching performance. …”
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Screening HFC/HFO and ionic liquid for absorption refrigeration at the atomic scale by the prediction model of machine learning by Jianchun Chu, Maogang He, Georgios M. Kontogeorgis, Xiangyang Liu, Xiaodong Liang

“…Absorption refrigeration is a highly effective method for utilizing renewable energy, as it can be driven by low-grade heat sources such as industrial waste heat, solar energy, and geothermal energy. …”
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Design of low-carbon planning model for vehicle path based on adaptive multi-strategy ant colony optimization algorithm by Qi Guo, Rui Li, Changjiang Zheng, Gwanggil Jeon

“…The proposed framework initially employs graph data from road networks and historical trajectories as model inputs, generating high-quality graph data through subgraph screening. …”
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Multi-UAV assisted air-to-ground data collection for ground sensors with unknown positions by Cheng Yiran, Dong Yangrui

“…Unmanned aerial vehicles (UAVs) are increasingly being employed in air-to-ground communication applications due to their lightweight design, high speed, and ability to utilize low-altitude resources. Utilizing UAVs for data collection from wireless ground sensors is an efficient, convenient, and cost-effective approach. …”
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Frequency-band specific directed connectivity networks reveal functional disruptions and pathogenic patterns in temporal lobe epilepsy: a MEG study by Chen Zhang, Yutong Wu, Wenhan Hu, Guangfei Li, Chunlan Yang, Ting Wu

“…Directed Transfer Function (DTF) was used to construct directed connectivity networks, followed by networks and graph-theoretical analyses. The results indicate that, compared to HCs, TLE subjects exhibited a significant increase in average connectivity strength in the Low Gamma band. …”
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Prevalence of sudden unexpected death of infants and its subcategories in low- or middle-income countries: a systematic review protocol by Liesl Zühlke, David Coetzee, Mark Engel, Natasha R Rhoda, Eunice Turawa, Imen Ayouni, Shanaaz Mathews

“…Emerging data suggest that the sudden unexpected death in infancy (SUDI) burden in LoMICs is at least 10-fold that in HICs. …”
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A Generalized GNN-Transformer-Based Radio Link Failure Prediction Framework in 5G RAN by Kazi Hasan, Khaleda Papry, Thomas Trappenberg, Israat Haque

“…Radio Link Failure (RLF) prediction system in Radio Access Networks (RANs) is critical for ensuring seamless communication and meeting the stringent requirements of high data rates, low latency, and improved reliability in 5G networks. …”
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A knowledge-based clinical decision support system for personalized health examination items in China: design and evaluation by Dan Wu, Jiye An, Shan Nan, Yutong She, Huilong Duan, Ning Deng

“…There were 584 classes, 781 object properties, and 1094 data properties in the knowledge graph. Retrospective data from 70 participants, with a total of 472 health features, were selected for system evaluation. …”
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Digital Integrated Design and Assembly Planning Processes for Sports Vehicles Using the Example of a Skateboard by Timo Schuchter, Markus Till, Ralf Stetter, Stephan Rudolph

“…The current product and assembly processes of system development in the vehicle industry are characterised by a multitude of different model formats, a relatively low level of data integration, and an unsatisfactory management of information. …”
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Detection of Critical Parts of River Crab Based on Lightweight YOLOv7-SPSD by Guoai Fang, Yu Zhao

“…The removal of back armor marks the first stage in the comprehensive processing of river crabs. However, the current low level of mechanization undermines the effectiveness of this process. …”
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Applying the FAIR Principles to Open Educational Resources: A Semantic Similarity Approach to Improve Resource Discovery by Farzaneh Sadeghi, Auriol Degbelo, Carsten Kessler, Reza Zolnouri

“…Despite their potential, OER uptake in existing education systems remains low, primarily due to challenges in locating suitable resources. …”
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Continuous High-Precision Positioning in Smartphones by FGO-Based Fusion of GNSS–PPK and PDR by Amjad Hussain Magsi, Luis Enrique Díez, Stefan Knauth

“…For pedestrians and smartphones with low-cost inertial sensors, the usual architecture is Pedestrian Dead Reckoning (PDR)+ GNSS. …”
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Revolutionizing RIS Networks: LiDAR-Based Data-Driven Approach to Enhance RIS Beamforming by Ahmad M. Nazar, Mohamed Y. Selim, Daji Qiao

“…Integrating LiDAR sensors into the network will be instrumental, offering high-speed and precise 3D mapping capabilities, even in low light or adverse weather conditions. LiDAR data facilitate user localization, enabling the determination of optimal RIS coefficients. …”
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A belief propagation algorithm based on track‐before‐detect for tracking low‐observable and manoeuvering targets using multiple sensors by Chenghu Cao, Haisheng Huang, Xin Li, Yongbo Zhao

“…The TBD measurement model can completely capture an echo signal without any preprocessing, furtherly handling with low‐observable targets. The authors’ proposed method is based on a new multi‐sensor statistical model that allows targets to interact and contribute to more than one data cell for the pixeled image TBD approach. …”
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Integration of Sensor Data and Mathematical Modeling of Underwater Robot Behavior Using a Digital Twin by M. D. Gladyshev, A. V. Rybakov

“…The Arduino IDE platform was used as software for low-level programming, as well as MATLAB and Python for data analysis and graphing.Results. …”
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Risk assessment of autonomous vehicle based on six-dimensional semantic space by Yanan CHEN, Ang LI, Dan WU

“…To address the problems of inadequate extraction of risk elements and low robustness of risk scenario assessment in autonomous vehicles, a risk assessment framework based on six-dimensional semantic space was proposed, which included risk element extraction based on six-dimensional semantic space and risk scenario assessment based on knowledge graph.Formerly, the semantic space was constructed with RGB and IR data mapped, and rich features were extracted using inter-modal correlations for explicit and potential risk elements.Subsequently, risk elements were distilled into a knowledge graph by semantic role annotation and entity fusion, and an inference method was designed by combining node completion and risk level function for accurate risk assessment.Simulations show that the proposed method surpasses current MSMatch and iSQRT-COV-Net in accuracy, false/missed alarm rate, and processing time.…”
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