Encrypted traffic classification encoder based on lightweight graph representation by ZhenWei Chen, XiaoXu Wei, YongSheng Wang

“…By converting packet byte sequences into graphs to construct byte-level traffic graphs, we propose building a weighted output applied through a weight matrix to facilitate model lightweighting. …”
Get full text

Leveraging Deep Spatiotemporal Sequence Prediction Network with Self-Attention for Ground-Based Cloud Dynamics Forecasting by Sheng Li, Min Wang, Minghang Shi, Jiafeng Wang, Ran Cao

“…Compared with other spatiotemporal sequence prediction models, CloudPredRNN++ shows significant improvements in evaluation metrics, improving the accuracy of cloud dynamics forecasting and alleviating long-term dependency decay, thus confirming the effectiveness in ground-based cloud prediction tasks.…”
Get full text

Risk Assessment of UAS Events From the Perspective of Heterogeneous Graphs by Yu An, Qingpei Yang, Hao Liu, Liang Geng

“…To address the challenge of evaluating the accident risks arising from the ever-changing operational environments and diverse tasks of UAS, this paper proposes a risk prediction framework for UAS accidents based on Heterogeneous Graph Embedding (HGE). …”
Get full text

Reliable Multistate RRAM Devices for Reconfigurable CAM and IMC Applications by Shengpeng Xing, Zijian Wang, Zhen Wang, Pengtao Li, Xuemeng Fan, Ziyang Zhang, Guobin Zhang, Jianhao Kan, Qi Luo, Shuai Zhong, Yishu Zhang

“…Notably, the proposed solution reduces energy consumption by over 20% in CAM applications and significantly enhances energy efficiency for fingerprint recognition tasks through convolution operations, achieving more than three times the energy efficiency compared to conventional GPU and CPU systems while maintaining an accuracy of 98%.…”
Get full text

Gender dynamics in agricultural employment for food security in sub-Saharan Africa by Afees Noah, Oladipo David, Grobler Wynand, Alabi Moshood

“…Gender roles are socially constructed expectations defining the behavior, responsibilities, and opportunities of men and women, especially evident in agriculture, where specific tasks are traditionally assigned to each gender. …”
Get full text

Proceedings of essential health care package development, in Botswana and Sierra Leone, November 2022 by Humphrey Cyprian Karamagi, Solyana Ngusbrhan Kidane, Pierre Claver Kariyo, Araia Berhane Mesfin, Isabella Maina, Gertrude Avortri, Hyppolite Kalambay Ntembwa

“…Technical working groups were constructed for each age cohort and tasked to lead the appraisal of interventions for technical comprehensiveness, contextualization to country needs, and mapping of interventions to the appropriate levels of care. …”
Get full text

STLNet: Symmetric Transformer Learning Network for Remote Sensing Image Change Detection by Liye Mei, Andong Huang, Zhaoyi Ye, Yaxiaer Yalikun, Ying Wang, Chuan Xu, Wei Yang, Xinghua Li

“…To address this, we propose a symmetric transformer learning network (STLNet) specifically tailored for remote sensing image CD tasks, constructed entirely using transformers. The STLNet is designed to leverage the intrinsic capability of transformers to model extensive long-range dependencies effectively. …”
Get full text

Dual temporal pathway model of emotion processing based on dynamic network reconfiguration analysis of EEG signals by Yan He, Yuan Liang, Ling Tong, Yujie Cui, Hao Yan

“…Additionally, network reconfiguration has been observed during various cognitive tasks. However, it remains unclear how the brain responds to different emotional categories under natural stimuli from the perspective of network reconfiguration, or whether this reconfiguration can predict subjective rating scores.To address this question, 28 video clips were used to evoke eight distinct emotion categories, and the participants' electroencephalogram (EEG) signals were recorded. …”
Get full text

ThermalGS: Dynamic 3D Thermal Reconstruction with Gaussian Splatting by Yuxiang Liu, Xi Chen, Shen Yan, Zeyu Cui, Huaxin Xiao, Yu Liu, Maojun Zhang

“…We introduce feature encoding and embedding networks to integrate semantic and temporal information into the Gaussian primitives, allowing them to capture dynamic thermal radiation characteristics. Moreover, we construct the Thermal Scene Day-and-Night (TSDN) dataset, which includes multi-view, high-resolution aerial RGB reference images and TIR images captured at five different times throughout the day and night, providing a benchmark for dynamic thermal 3D reconstruction tasks. …”
Get full text

Eagle-YOLOv8: UAV Object Detection Inspired by the Eagle-Eye Vision System by Dianwei Wang, Zehao Gao, Jie Fang, Yuanqing Li, Zhijie Xu

“…However, the typically small size and uneven spatial distribution of objects in UAV imagery pose significant challenges for UAV object detection tasks. Confronting such challenges, we propose Eagle-YOLOv8, an object detection algorithm for UAV imagery inspired by the eagle-eye vision system. …”
Get full text

MeetSafe: enhancing robustness against white-box adversarial examples by Ruben Stenhuis, Dazhuang Liu, Yanqi Qiao, Mauro Conti, Manos Panaousis, Kaitai Liang

“…Convolutional neural networks (CNNs) are vulnerable to adversarial attacks in computer vision tasks. Current adversarial detections are ineffective against white-box attacks and inefficient when deep CNNs generate high-dimensional hidden features. …”
Get full text

xLSTM Interaction Multilevel SSM-Assisted Decoding Network for Remote Sensing Image Change Detection by Chunpeng Wu, Shuli Cheng, Anyu Du, Liejun Wang, Wenbin Tang

“…However, change detection (CD) tasks involve both temporal and spatial dimensions. …”
Get full text

Cross-Level Adaptive Feature Aggregation Network for Arbitrary-Oriented SAR Ship Detection by Lu Qian, Junyi Hu, Haohao Ren, Jie Lin, Xu Luo, Lin Zou, Yun Zhou

“…Specifically, we first construct a hierarchical backbone network based on a residual architecture to extract multi-scale features of ship objects from large-scale SAR imagery. …”
Get full text

Popeye: A Unified Visual-Language Model for Multisource Ship Detection From Remote Sensing Imagery by Wei Zhang, Miaoxin Cai, Tong Zhang, Guoqiang Lei, Yin Zhuang, Xuerui Mao

“…Finally, extensive experiments are conducted on the newly constructed ship instruction dataset named MMShip, and the results indicate that the proposed Popeye outperforms current specialist, open-vocabulary, and other visual-language models in zero-shot multisource various ship detection tasks.…”
Get full text

Nuanced Music Emotion Recognition via a Semi‑Supervised Multi‑Relational Graph Neural Network by Andreas Peintner, Marta Moscati, Yu Kinoshita, Richard Vogl, Peter Knees, Markus Schedl, Hannah Strauss, Marcel Zentner, Eva Zangerle

“…Music emotion recognition (MER) seeks to understand the complex emotional landscapes elicited by music, acknowledging music’s profound social and psychological roles beyond traditional tasks such as genre classification or content similarity. …”
Get full text

TCI-Net: Structural Feature Enhancement and Multi-Level Constrained Network for Reliable Thin Crack Identification on Concrete Surfaces by Shiming Li, Fengtao Yan, Zhijie Li, Qingfeng Hu, Shiqian Xu, Shilian Liu

“…Accurately identifying thin cracks in concrete surfaces is a key technology for the automated maintenance of structures, with widespread applications in intelligent inspection tasks such as road, bridge, and building façade inspection. …”
Get full text

FAHM: Frequency-Aware Hierarchical Mamba for Hyperspectral Image Classification by Peixian Zhuang, Xiaochen Zhang, Hao Wang, Tianxiang Zhang, Leiming Liu, Jiangyun Li

“…However, existing Mamba-based approaches flatten 2-D images into 1-D sequences, inevitably disrupting 2-D local dependencies, thereby disregarding the distinctive difference between high-frequency and low-frequency components in the frequency domain. For HSI tasks, these methods suffer from inherent receptive field limitations and insufficient exploitation of spectral information, resulting in unclear classification of regional boundaries and poor generalizability. …”
Get full text

MMAgentRec, a personalized multi-modal recommendation agent with large language model by Xiaochen Xiao

“…At the same time, this paper has constructed a comprehensive dataset in this field, each column contains 9004 data entries.…”
Get full text

Simulation analysis of path planning for workpiece clamping robots based on digital twin technology by Xin PAN, Min LIANG, Yanchao YIN, Zhong CHEN

“…Efficient path planning for manipulators is essential in modern CNC machining processes to ensure obstacle-free operations, particularly during complex tasks such as picking, handling, and clamping. The presence of irregularly shaped obstacles at various stages of machining presents significant challenges for traditional path planning algorithms, which often struggle to balance computational efficiency with path quality. …”
Get full text

A generative adversarial network with multiscale and attention mechanisms for underwater image enhancement by Liquan Zhao, Yuda Li, Tie Zhong

“…This directly impacts tasks such as marine ecological monitoring and underwater target detection, which rely on image processing. …”
Get full text