Robust Line Feature Matching via Point–Line Invariants and Geometric Constraints by Chenyang Zhang, Yunfei Xiang, Qiyuan Wang, Shuo Gu, Jianghua Deng, Rongchun Zhang

“…Line feature matching is a crucial aspect of computer vision and image processing tasks, attracting significant research attention. …”
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Integrated Navigation Method for Orchard-Dosing Robot Based on LiDAR/IMU/GNSS by Wang Wang, Jifeng Qin, Dezhao Huang, Furui Zhang, Zhijie Liu, Zheng Wang, Fuzeng Yang

“…Overall, the robot demonstrated smooth and reliable autonomous navigation, successfully completing its tasks.…”
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Neuromorphic chips for biomedical engineering by Kaiyang Wang, Shuhui Ren, Yunfang Jia, Xiaobing Yan, Lizhen Wang, Yubo Fan

“…Finally, this review provides the pathways for constructing standardized experimental protocols using biocompatible technologies, personalized treatment strategies, and systematic clinical validation. …”
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“Breaking a vicious cycle”: the reproduction of ableism in higher education and its impact on students with disabilities by Gemma Goodall, Odd Morten Mjøen, Aud Elisabeth Witsø, Sissel Horghagen, Lisbeth Kvam

“…The participants’ accounts illustrate how they are tasked with promoting inclusion while simultaneously protecting their respective professions. …”
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Development of the PeeR Investigators Mentoring Experiences in Research (PRIMER) program: a peer mentoring initiative to increase mentoring in CUREs by Samuel H. Neely, Raquel Meyer Nunes, Arlene Garcia, Charles Donate, Rocio Benabentos, Melissa McCartney, Jessica Siltberg-Liberles

“…PRIMERs guide students through research projects and provide tailored support in technical research tasks and scientific writing. They also provide mentoring to students through the research process and help them navigate the next steps in seeking out additional research experiences. …”
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A student academic performance prediction model based on the interval belief rule base by Wenkai Zhou, Yunsong Li, Jiaxing Li, Tianhao Zhang, Xiping Duan, Ning Ma, Yuhe Wang

“…Abstract Student performance prediction (SPP) constitutes one of the pivotal tasks in educational data analysis. Outcomes from the prediction enables educators to implement targeted interventions for students. …”
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A Study on the Extraction of Satellite Image Information for Two Types of Coastal Fishery Facility Fish Cages and Rafts Influenced by Clouds and Vessels by Ao Chen, Jialu Yu, Junbo Zhang, Gangyi Yu, Rong Wan

“…It is applicable to satellite image classification tasks in complex environments, including influence of clouds and vessels. …”
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Sem-SLAM: Semantic-Integrated SLAM Approach for 3D Reconstruction by Shuqi Liu, Yufeng Zhuang, Chenxu Zhang, Qifei Li, Jiayu Hou

“…It also shows superior performance in semantic segmentation and real-time semantic mapping tasks, offering a new direction for the development of SLAM technology.…”
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Topic adversarial neural network for cross-topic cyberbullying detection by Shufeng Xiong, Wenzhuo Liu, Bingkun Wang, Yinchao Che, Lei Shi

“…Experimental results demonstrate that TANN outperforms existing methods in cross-topic detection tasks, significantly improving robustness and accuracy. …”
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FungiLT: A Deep Learning Approach for Species-Level Taxonomic Classification of Fungal ITS Sequences by Kai Liu, Hongyuan Zhao, Dongliang Ren, Dongna Ma, Shuangping Liu, Jian Mao

“…This study provides a more efficient and accurate solution for large-scale fungal classification tasks and offers new technical support and insights for species annotation in amplicon analysis research.…”
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Localization and tracking of multiple quadrotors with collision avoidance: Theory and experiment by Guang Yang, Juntong Qi, Mingming Wang, Yan Peng, Chong Wu, Yuan Ping, Hailong Huang

“…Then, based on the consensus theory, a formation tracking controller is designed to meet the requirements of formation transformation and encirclement tasks, and a stability proof based on Lyapunov was provided. …”
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Few-Shot Graph Anomaly Detection via Dual-Level Knowledge Distillation by Xuan Li, Dejie Cheng, Luheng Zhang, Chengfang Zhang, Ziliang Feng

“…Graph anomaly detection is crucial in many high-impact applications across diverse fields. In anomaly detection tasks, collecting plenty of annotated data tends to be costly and laborious. …”
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Event-Driven Edge Agent Framework for Distributed Control in Distribution Networks by Xianglong Zhang, Ying Liu, Songlin Gu, Yuzhou Tian, Yifan Gao

“…First, based on the diverse requirements of distributed control in distribution networks, an edge agent architecture is constructed with modular components such as configuration management at its core. …”
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Multi-Level Asynchronous Robust State Estimation for Distribution Networks Considering Communication Delays by Xianglong Zhang, Ying Liu, Songlin Gu, Yuzhou Tian, Yifan Gao

“…A multi-threaded parallel framework is constructed to decouple receiving, computation, and transmission tasks, thereby enhancing asynchronous scheduling capabilities across threads. …”
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Crack Defect Detection Method for Plunge Pool Corridor Based on the Improved U-Net Network by Chunyao Hou, Zhihui Liu, Fan Xia, Xun Zhou, Yuhang Shui, Yonglong Li

“…The enhanced U-Net model demonstrates outstanding performance on a self-constructed plunge pool corridor crack dataset, achieving an MIoU, F1-score, MPA, and accuracy of 84.44%, 93.05%, 89.75%, and 99.46%, respectively. …”
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GeoAI Dataset for Urbanized Area Segmentation from Landsat 8/9 Satellite Imagery and GEMS by Sung-Hyun Gong, Hyung-Sup Jung, Geun-Han Kim, Geun-Hyouk Han, Il-Hoon Choi, Jin-Sung Hong

“…The dataset is optimized for semantic segmentation tasks, including labeled data for urban area segmentation, and is designed to enable precise detection of pollution sources within urban regions by integrating satellite imagery and air quality information. …”
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Capturing Global Structural Features and Global Temporal Dependencies in Dynamic Social Networks Using Graph Convolutional Networks for Enhanced Analysis by Ling Wu, Boen Li, Kun Guo, Qishan Zhang

“…GSTGCN outperforms current state-of-the-art network embedding methods in important social networks tasks such as link prediction and financial fraud identification.…”
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A complete, multi-layered quranic treebank dataset with hybrid syntactic annotations for classical arabic processingMendeley Data by Wadee A. Nashir, Abdulqader M. Mohsen, Asma A. Al-Shargabi, Mohamed K. Nour, Badriyya B. Al-onazi

“…EQTB offers significant reuse potential, providing crucial training/evaluation data for diverse CA NLP tasks (parsing, morphology, diacritization), supporting linguistic research, and enabling the development of advanced pedagogical tools and language technologies.…”
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Deep‐Learning Model for Central Nervous System Infection Diagnosis and Prognosis Using Label‐Free 3D Immune‐Cell Morphology in the Cerebrospinal Fluid by Bo Kyu Choi, Ho Heon Yang, Jong Hyun Kim, JaeSeong Hong, Kyung Min Kim, Yu Rang Park

“…As more cell images are used, the prediction and model robustness improve. With <10 cells, both tasks exhibit a nearly 100% predictive performance. …”
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Tailoring Dynamic Synaptic Plasticity in FeTFT Optoelectronic Synapse for Associative Learning by Peng Yang, Hui Xu, Xiaopeng Luo, Shihao Yu, Yang Liu, Yefan Zhang, Xu Guo, Bing Song, Zhiwei Li, Sen Liu, Qingjiang Li

“…Furthermore, a 3 × 3 FeTFT array is constructed to demonstrate its potential applications in memory functions. …”
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