A Comprehensive Approach to Instruction Tuning for Qwen2.5: Data Selection, Domain Interaction, and Training Protocols by Xungang Gu, Mengqi Wang, Yangjie Tian, Ning Li, Jiaze Sun, Jingfang Xu, He Zhang, Ruohua Xu, Ming Liu

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Consensus of networked control multi-agent systems using a double-layer encryption scheme by Yamin Yan, Zhiyong Chen, Vijay Varadharajan

“…This approach not only ensures that the input and output information of the benign entities remains protected from the malicious entities but also practically achieves consensus performance. …”
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Discovering the key symptoms for identifying patterns in functional dyspepsia patients: A doctor's decision and machine learning by Da-Eun Yoon, Heeyoung Moon, In-Seon Lee, Younbyoung Chae

“…Doctors evaluated the importance of the symptoms indicated by items in the Standard Tool for Pattern Identification of Functional Dyspepsia questionnaire. Explicit importance was determined by surveying doctors, who performed a general evaluation and selected specific diagnostic information for patient cases. …”
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Language model-enhanced edge factor mining in citation network by WANG Minmao, ZHAO Hongke, WU Likang, JIAO Zhixian, HUANG Zhenya

“…Coarse-grained factor mining extracted explicit category-related edge factors from citation network graphs containing documents by designing structured information prompts for LLM. …”
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Language model-enhanced edge factor mining in citation network by WANG Minmao, ZHAO Hongke, WU Likang, JIAO Zhixian, HUANG Zhenya

“…Coarse-grained factor mining extracted explicit category-related edge factors from citation network graphs containing documents by designing structured information prompts for LLM. …”
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PAPR Reduction of OTSM with Random and Orthogonal SLM Phase Sequences and its Recovery in the Presence of EPA, EVA and ETU Channel Models by M. I. Al-Rayif

“…As a result, this proposal shows reliable performance in terms of PAPR reduction, bit error rate (BER) and side information error rate (SIER) of the OTSM system at a fraction of extension values (f=0.09 and C=1.15) while maintaining power efficiency.…”
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Bank Customer Segmentation and Marketing Strategies Based on Improved DBSCAN Algorithm by Xiaohua Yan, Yufeng Li, Fuquan Nie, Rui Li

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The Transformative Potential of Large Language Models in Mining Electronic Health Records Data: Content Analysis by Amadeo Jesus Wals Zurita, Hector Miras del Rio, Nerea Ugarte Ruiz de Aguirre, Cristina Nebrera Navarro, Maria Rubio Jimenez, David Muñoz Carmona, Carlos Miguez Sanchez

“…GPT-4 showed greater consistency, replicating the exact same results in 76% of the reports across 10 repeated analyses, compared to 59% for GPT-3.5, indicating more stable and reliable performance. Physicians were more likely to miss explicit comorbidities, while the GPT models more frequently inferred nonexplicit comorbidities, sometimes correctly, though this also resulted in more false positives. …”
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Learning End-to-End Hybrid Precoding for Multi-User mmWave Mobile System With GNNs by Ruiming Wang, Chenyang Yang, Shengqian Han, Jiajun Wu, Shuangfeng Han, Xiaoyun Wang

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Hybrid CNN-based Recommendation System by Muhammad Alrashidi, Roliana Ibrahim, Ali Selamat

“…Nevertheless, including user or item-specific information has the potential to enhance the performance of recommendations. …”
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Distribution network restoration with mobile resources dispatch: A simulation-based online dynamic programming approach by Mingxuan Li, Wei Wei, Yin Xu, Ying Wang, Shanshan Shi

“…It is proven that such a strategy improves the performance of base policy. The proposed policy adapts to real-time information updates and does not rely on offline training, so incurs no data and convergence-related issues, which is important in restoration tasks where the historical data of extreme events is rare. …”
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JCN: Joint Constraint-Based Human Pose Refinement Networks by Yuru Zhang, Jiayuan Zhao, Xiaodong Su, Hongyan Xu, Meijian Jin

“…Specifically, we propose Joint Constraint-Based Human Pose Refinement Networks, which explicitly and implicitly model the relationship between critical points through graph neural networks and self-attention mechanisms to capture local and non-local information of the pose features and refine the keypoints responses. …”
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Generalized Cardinal Polishing Splines Signal Reconstruction by Fangli Sun, Zhanchuan Cai

“…Next, we propose differential signal reconstruction based on the GCP-splines and the sampled original signal values to obtain information on the signal change rate. Numerical experiments demonstrate that the signal reconstruction based on the GCP-splines yields lower approximation errors and better performance than the linear interpolation filter and cardinal B-spline interpolation filter.…”
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A New Aerodynamic Domain Model (ADM) for Enhancing the Reliability of Spin Flight Vehicle Simulations by Shenghui Lv, Zhong Su

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Nonnegative matrix factorization with Wasserstein metric-based regularization for enhanced text embedding. by Mingming Li, Xingjie Wang, Chunhua Li, Anping Zeng

“…We then build upon this manifold structure to integrate an explicit expression of the Wasserstein metric into the NMF framework. …”
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Robust trajectory tracking of a 3D-printed rapid prototyping manipulator through variable gain super-twisting algorithm by Sujian Wu, Jinyuan Hu, Guohua Shi, Jinyu Fan, Yunyao Li

“…The motion for using VGSTA, apart from its property of providing robustness to the system with respect to the unmodeled part and uncertainties, is also given by its capability of enforcing the controlled objects to the sliding surface in finite time and more explicit tuning parameter, allowing one to tune the system dynamic performance more simply. …”
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Recognition of Visual Arabic Scripting News Ticker From Broadcast Stream by Moeen Tayyab, Ayyaz Hussain, Mohammed Ali Alshara, Shakir Khan, Reemiah Muneer Alotaibi, Abdul Rauf Baig

“…Our work investigates character-wise explicit segmentation and syntactical models with Kufi and Nastaleeq fonts. …”
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Spectral-spatial wave and frequency interactive transformer for hyperspectral image classification by Tahir Arshad, Bo peng, Ali Rahman, Rahim khan, Sajid Ullah khan, Sultan Alnazi, Nazik Alturki

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A Novel Low-Rank Embedded Latent Multi-View Subspace Clustering Approach by Sen Wang, Lian Chen, Zhijian Liang, Qingyang Liu

“…Noises and outliers often degrade the final prediction performance in practical data processing. Multi-view learning by integrating complementary information across heterogeneous modalities has become one of the core techniques in the field of machine learning. …”
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Semi-Supervised Burn Depth Segmentation Network with Contrast Learning and Uncertainty Correction by Dongxue Zhang, Jingmeng Xie

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