Graph-Based Target Association for Multi-Drone Collaborative Perception Under Imperfect Detection Conditions by Qifan Tan, Xuqi Yang, Cheng Qiu, Wenzhuo Liu, Yize Li, Zhengxia Zou, Jing Huang

“…The Graph Feature Network (GFN) treats the key objects as graph nodes and extracts the graph feature. The Association Module utilizes graph matching to associate the top-k-like matching objects and iterable affine transformation to associate all objects. …”
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Unsupervised Anomaly Detection of Forceps Force by Localizing the Region of Interest by Wenhui Zhuang, Kimihiko Masui, Naoto Kume, Megumi Nakao

“…The lack of haptic feedback in robotic surgical systems can lead to unintended tissue damage as a result of excessive mechanical force. To address this issue, many studies in vision-based force sensing have focused on supervised learning approaches, which require labeled force data for training. …”
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Grape cluster detection based on spatial-to-depth convolution and attention mechanism by Shuai Rong, Xinghai Kong, Ruibo Gao, Zhiwei Hu, Hua Yang

“…Secondly, based on the problem of information loss in grape cluster detection, a plug-and-play module of spatial-to-depth convolution (STD-Conv) is added to enrich grape cluster feature information. …”
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Integrated Fusion Network for Hyperspectral, Multispectral and Panchromatic Data Fusion by Jinyin Pan, Shidong Wang, Huachao Li, Zhanliang Yuan, Binbin Yuan, Jinyan Peng, Yuanyuan Liu

“…Specifically, IFNPMH incorporates the CBAM attention mechanism module to enhance feature representation capabilities. …”
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Pseudo-class distribution guided multi-view unsupervised domain adaptation for hyperspectral image classification by Jingpeng Gao, Xiangyu Ji, Geng Chen, Yuhang Huang, Fang Ye

“…In addition, we design an adaptive style learning module to enhance the inter-class separability of the model. …”
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Optimal Dispatch of Power System with P2G-Wind-Thermal-Nuclear-Carbon Capture Units by Wenhao CHAO, Zhi YUAN, Ji LI

“…In addition, the excessive wind power curtailment could also be an issue. In this paper, a linearized peaking depth model for nuclear units is proposed considering their co-operation with power-to-gas (P2G), WPG, thermal, and carbon capture units. …”
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Towards lightweight model using non-local-based graph convolution neural network for SQL injection detection by Duc-Chinh Nguyen, Manh-Hung Ha, Manh-Tuan Do, Oscal Tzyh-Chiang Chen

“…SQL injection poses serious threats to web applications and databases by enabling unauthorized access and data leakage. To address this issue, we propose a unique graph network, an innovative topology not explored previously for SQL injection detection. …”
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Multi-Level Intertemporal Attention-Guided Network for Change Detection in Remote Sensing Images by Shuo Liu, Qinyu Zhang, Yuhang Zhang, Xiaochen Niu, Wuxia Zhang, Fei Xie

“…Secondly, the Change Location and Recognition Module (CLRM) is designed to explore change areas more deeply, effectively improving the representation of change features. …”
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Doping in Martial Arts: How Is It Managed? by Agung Nugroho, Arko Jatmiko Wicaksono, Hary Widodo, Santosa Budiharjo, Djoko Pekik Irianto, Rustamaji Rustamaji, Lismadiana Lismadiana

“…Background: Doping remains a persistent issue in martial arts, exacerbated by the easy access to over-the-counter medications containing banned substances. …”
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Reverse Oil Flow Characterization in Transformer Windings: A Fluid-Thermal Network Approach by Lujia Wang, Jianghao Qi, Yifan Chen, Lebin Zhang, Jianwen Zhang

“…This phenomenon results in the abnormal occurrence of reverse oil flow in the bottom oil ducts, causing the hotspot temperature to rise instead of decrease. To address this issue, a three-node flow resistance module was introduced at the intersection of T-shaped oil ducts based on the flow paths of oil in the main and branch ducts within the disc-type winding region. …”
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MixDiff-TTS: Mixture Alignment and Diffusion Model for Text-to-Speech by Yongqiu Long, Kai Yang, Yuan Ma, Ying Yang

“…Additionally, we introduce a Word-to-Phoneme Attention module with a relative position bias mechanism to improve the model’s capacity for processing long text sequences. …”
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Adaptive malware identification via integrated SimCLR and GRU networks by Faisal S. Alsubaei, Abdulwahab Ali Almazroi, Walid Said Atwa, Abdulaleem Ali Almazroi, Nasir Ayub, N. Z. Jhanjhi

“…Abstract Malware has become a big issue for digital infrastructure with the growing complexity and frequency of intrusions; it usually avoids conventional detection systems via obfuscation and dynamic behaviour patterns. …”
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A Study on the Performance of Soiled Solar Photovoltaic Panels at Different Tilt Angles in Al Seeb, Oman by Girma T. Chala, Shaharin A. Sulaiman, Xuecheng Chen

“…Dust accumulation, which significantly reduces power generation efficiency, is currently the main issue facing photovoltaic modules since it affects the return on investment of PV systems. …”
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Speech Emotion Recognition Using Two-Stage Multiple Instance Learning Networks by ZHANG Shiqing, CHEN Chen, ZHAO Xiaoming

“…Firstly, an instance distillation module is proposed to filter redundant instances with weak emotional information. …”
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Independent Tri-Spectral Integration for Intelligent Ship Monitoring in Ports: Bridging Optical, Infrared, and Satellite Insights by Yichen Feng, Hui Yin, Hao Zhang, Langtao Wu, Haihui Dong, Jiawen Li

“…However, most current ship identification technologies rely on a single information source, reducing detection accuracy in the complex and variable marine environment. To address this issue, this paper proposes a knowledge transfer-based ship identification system integrating three modules. …”
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RL-Net: a rapid and lightweight network for detecting tiny vehicle targets in remote sensing images by Yaoyao Du, Li Chen, Xingxing Hao

“…Abstract Traffic accidents remain a critical issue that significantly impacts public safety and poses major challenges to intelligent transportation systems. …”
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YOLO-MARS: An Enhanced YOLOv8n for Small Object Detection in UAV Aerial Imagery by Guofeng Zhang, Yanfei Peng, Jincheng Li

“…To address these challenges, this paper introduces YOLO-MARS, a small target recognition model that incorporates a multi-level attention residual mechanism. Firstly, an ERAC module is designed to enhance the ability to capture small targets by expanding the feature perception range, incorporating channel attention weight allocation strategies to strengthen the extraction capability for small targets and introducing a residual connection mechanism to improve gradient propagation stability. …”
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Research on Pedestrian and Cyclist Classification Method Based on Micro-Doppler Effect by Xinyu Chen, Xiao Luo, Zeyu Xie, Defang Zhao, Zhen Zheng, Xiaodong Sun

“…Firstly, distinct from conventional time-frequency fusion methods, a preprocessing module was developed to solely perform frequency-domain fitting on radar echo data of pedestrians and cyclists in forward motion, with the purpose of generating fitting coefficients for the classification task. …”
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Identification of hypertension gene expression biomarkers based on the DeepGCFS algorithm. by Zongjin Li, Liqin Tian, Libing Bai, Zeyu Jia, Xiaoming Wu, Changxin Song

“…Hypertension is a critical risk factor and cause of mortality in cardiovascular diseases, and it remains a global public health issue. Therefore, understanding its mechanisms is essential for treating and preventing hypertension. …”
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Infrared and visible image fusion driven by multimodal large language models by Ke Wang, Dengshu Hu, Yuan Cheng, Yukui Che, Yuelin Li, Zhiwei Jiang, Fengxian Chen, Wenjuan Li

“…IntroductionExisting image fusion methods primarily focus on obtaining high-quality features from source images to enhance the quality of the fused image, often overlooking the impact of improved image quality on downstream task performance.MethodsTo address this issue, this paper proposes a novel infrared and visible image fusion approach driven by multimodal large language models, aiming to improve the performance of pedestrian detection tasks. …”
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