Deep-Learning-Guided Student Intelligent Classroom Management System by Xiaobing Niu

“…It can effectively address authority issues in real scenarios while enhancing the learning efficiency and increasing accessibility. …”
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Research on a path-tracking control system of unmanned rollers based on an optimization algorithm and real-time feedback by Ma Haosen

“…The unmanned double steel wheel vibration roller enhances high-quality unmanned compaction operations by ensuring precise walking control, thus avoiding human error-related issues like under- and over-compaction. However, its complex construction technology, cooperative operation challenges, and high construction quality demands present significant difficulties for unmanned operation. …”
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Dynamic graph convolutional networks with Temporal representation learning for traffic flow prediction by Aihua Zhang

“…Nonetheless, existing approaches grapple with issues encompassing insufficient sharing patterns, dependence on static relationship presumptions, and an inability to effectively grasp the intricate trends and cyclic attributes of traffic flow. …”
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Formation of potential foreign language teachers’ research competence at the university as a condition for the modernisation of education by M. M. Mombekova

“…The investigation of student research competence development, closely related to the issues of organising educational and scientific research activities in the university environment, is an urgent problem in higher education. …”
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Engaging e-Learning in Higher Education: An Empirical Student Engagement Model for LMS-Mediated e-Tutorials by Stephen Kigundu

“…The research highlights critical issues in current e-tutorial designs and proposes actionable improvements. …”
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Lightweight Tea Shoot Picking Point Recognition Model Based on Improved DeepLabV3+ by HU Chengxi, TAN Lixin, WANG Wenyin, SONG Min

“…Traditional neural network methods suffer from issues such as large model size, long training times, and difficulties in dealing with complex scenes. …”
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Review of Research on Foundation Scour of River-Crossing Bridges by WANG Lu, LIU Hong-wei, WEI Kai, Bruce Melville, NIE Rui-hua

“…In particular, multi-module multilayer perceptrons (multi-module MLPs) can construct hybrid neural networks incorporating physical scour mechanisms, showing great potential in addressing the challenges of predicting scour under complex boundary conditions. …”
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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

“…To address these two issues, we propose a Chinese few-shot named-entity recognition model that integrates multi-label prompts and boundary information (MPBCNER). …”
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LumiLoc: A Low-Light-Optimized Visual Localization Framework for Autonomous Drones by Ruokun Qu, Zhiyuan Wang, Yelu Liu, Chenglong Li, Hui Jiang, Chen Fang

“…In low-light conditions, UAV localization faces substantial challenges due to reduced visibility, elevated noise levels, and diminished contrast. To address these issues, we propose a low-light-optimized visual localization framework that integrates an attention-based image enhancement module, a robust feature extraction network tailored for degraded environments, and a lightweight pose estimation algorithm that fuses geometric and convolutional features. …”
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Application of Message Compliance Detection and Intrusion Blocking Technology in Remote Operation and Maintenance System of Relay Protection by Jiang YU, Honghui GAO, Zebing SHI, Weiwei JIANG, Fangying WU, Qingcai ZHAN, Rui ZHANG

“…Existing security measures have not effectively addressed business layer risks, and some issues such as delayed risk response still exist. …”
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Element for Matching a Waveguide Transmission Line with a Diode by I. A. Zakharov, O. A. Karmanova, A. V. Gusinsky, M. M. Kasperovich, D. G. Bulavko, A. N. Kuzyukov, D. A. Lisov, Y. V. Shevaldina

“…The article deals with the issues of matching a waveguide transmission line with millimeter wave diodes. …”
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ROLE OF SOME MICRONUTRIENTS IN THE HEALING PROCESS OF DIABETIC ULCERS by Minka Hristova, Antoniya Hachmeriyan

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Two-stage photovoltaic power forecasting method with an optimized transformer by Yanhong Ma, Feng Li, Hong Zhang, Guoli Fu, Min Yi

“…ProbSparse attention was introduced to reduce high-memory occupation and solve computational overload issues. In the second stage, a weighted series decomposition module was proposed to extract the periodicity of the PV power series, and the final forecasting results were obtained through additive reconstruction. …”
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Unbalance Suppression for AMB Rotor System Using APF-SRF Algorithm by Yuanping Xu, Haitong Wu, Xudong Guan

“…Typically, for the practical application of AMB rotor systems, synchronous unbalance vibration has long been a critical issue. Thus, exploring a facile yet effective approach to address this issue has attracted tremendous interest from both industrial and academic perspectives. …”
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Self-Guided Pixel-Wise Calibration for Low-Light Image Enhancement by Zhihua Shen, Caiju Wang, Fei Li, Jinshuo Liang, Xiaomao Li, Dong Qu

“…Additionally, a Color Correction Module is introduced to enhance saturation by adjusting the shadow threshold. …”
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A Hierarchical Knowledge Graph Embedding Framework for Link Prediction by Shuang Liu, Chengwang Hou, Jiana Meng, Peng Chen, Simon Kolmanic

“…Experimental results show that our framework improves the performance of the original knowledge graph embedding model, in which the hierarchical subgraph negative sampling module outperforms other negative sampling techniques. …”
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Generation of Phase-Only Fourier Hologram Based on Double Phase Method and Quantization Error Analysis by Yang Wu, Jun Wang, Chun Chen, Chan-Juan Liu, Feng-Ming Jin, Yu-Hen Hu

“…However, it cannot directly encode the Fourier spectrum because of the limited gray modulation range of spatial light modulator, and quantization error. …”
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Thangka image captioning model with Salient Attention and Local Interaction Aggregator by Wenjin Hu, Fujun Zhang, Yinqiu Zhao

“…However, existing methods fall short in capturing the features of the core deity regions and the surrounding background details of Thangka images, and they significantly lack an understanding of local actions and interactions within the images. To address these issues, this paper proposes a Thangka image captioning model based on Salient Attention and Local Interaction Aggregator (SALIA). …”
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Real-Time Optimization of RISC-V Processors Based on Branch Prediction and Division Data Dependency by Zhiwei Jin, Hesong Di, Tingpeng Hu, Peng Wang

“…The processor is optimized for real-time performance using a “simplified local history branch predictor” and a “division data dependency module”. Experimental results show that the processor’s branch prediction accuracy and division calculation speed have both improved. …”
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DCAI: a dual cross-attention integration framework for benign-malignant classification of pulmonary nodules by Shuling Wang, Suixue Wang, Rongdao Sun

“…To address the above issues, we propose a novel multimodal framework, the Dual Cross-Attention Integration framework (DCAI), for benign-malignant classification of pulmonary nodules. …”
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