Angus: efficient active learning strategies for provenance based intrusion detection by Lin Wu, Yulai Xie, Jin Li, Dan Feng, Jinyuan Liang, Yafeng Wu

“…They either select samples to update the training set according to similarities of provenance graphs or preferentially select samples with low redundancy and large differences from the current training set. …”
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Contrastive learning of similarity meta-path clustering for multi-behavior recommendation by Juan Liao, Aman Jantan, Zhe Liu, Himanshu Dhumras, Omed Hassan Ahmed

“…Second, we introduce a similarity meta-path framework, which constructs a meta-path-based similarity graph through node-level similarity computation, allowing the model to transfer prior knowledge to low-resource tasks. …”
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Automatic detection and annotation of eastern Caribbean sperm whale codas by Guy Gubnitsky, Yaly Mevorach, Shane Gero, David F. Gruber, Roee Diamant

“…The main innovation in our detector is graph-based clustering, which utilizes the expected similarity between the clicks that make up the coda. …”
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Reinforcement-Learning-Based Edge Offloading Orchestration in Computing Continuum by Ioana Ramona Martin, Gabriel Ioan Arcas, Tudor Cioara

“…The learning agent’s performance was evaluated using different hyperparameter configurations and varying episode lengths or knowledge graph model sizes. Results show that for a better learning experience, a low, steady learning rate and a large buffer size are important. …”
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GAT-Enhanced YOLOv8_L with Dilated Encoder for Multi-Scale Space Object Detection by Haifeng Zhang, Han Ai, Donglin Xue, Zeyu He, Haoran Zhu, Delian Liu, Jianzhong Cao, Chao Mei

“…The local features extracted by convolutional neural networks are mapped to graph-structured data, and the nodal attention mechanism of GAT is used to capture the global topological association of space objects, which makes up for the deficiency of the convolutional operation in weight allocation and realizes GAT integration. …”
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Pengaruh Paparan Medan Magnet Extremely Low Frequency (ELF) terhadap Perubahan pH Pada Proses Fermentasi Biji Kopi Lanang (Peaberry) Kering by Mamik Purbawati, Sudarti Sudarti, Firdha Kusuma A A

“…Penelitian ini mempunyai tujuan untuk mengetahui pengaruh paparan medan magnet ELF (Extremely Low Frequency) terhadap perubahan pH pada proses fermentasi biji kopi lanang (Peaberry) kering jenis robusta dengan penambahan enzim -amilase. …”
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A novel method for soil organic carbon prediction using integrated ‘ground-air-space’ multimodal remote sensing data by Yilin Bao, Xiangtian Meng, Huanjun Liu, Mengyuan Xu, Mingchang Wang

“…Meanwhile, typical spectral features in ZY1-02D satellite data were extracted, and a spectral dictionary was constructed for accurate reduction of details in low spectral resolution images. …”
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Design and application research of traditional Chinese medicine teaching resource recommendation system based on multivariate data mining driven algorithm by Wei Zhang, Yaqing Liu, Qiang Zhang, Xiaomin Chen

“…The study uses a hybrid recommendation algorithm, combines collaborative filtering with content filtering, and integrates it into the knowledge graph of traditional Chinese medicine to realize in-depth data mining. …”
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DLPLSR: Dual Label Propagation-Driven Least Squares Regression with Feature Selection for Semi-Supervised Learning by Shuanghao Zhang, Zhengtong Yang, Zhaoyin Shi

“…However, existing semi-supervised LSR approaches suffer from challenges such as the insufficient use of unlabeled data, low pseudo-label accuracy, and inefficient label propagation. …”
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The burden of non-specific chronic low back pain among adults in KwaZulu-Natal, South Africa: a protocol for a mixed-methods study by Morris Kahere, Themba Ginindza

“…The SPSS V.25.0 statistical package will be used for data entry and analysis. Statistical analysis will include descriptive statistics by means of graphs and cross tabulations, inferential statistics by means of logistic regression and χ2 test. …”
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DVAEGMM: Dual Variational Autoencoder With Gaussian Mixture Model for Anomaly Detection on Attributed Networks by Wasim Khan, Mohammad Haroon, Ahmad Neyaz Khan, Mohammad Kamrul Hasan, Asif Khan, Umi Asma Mokhtar, Shayla Islam

“…As a result, decoders can make graphs that are more like the original graph. Each input data point is represented by a low-dimensional representation and a probability of reconstruction by the algorithm. …”
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IIoT’s Risk Odyssey: Navigating the Risk Propagation of Illegal Information Flows by Argiro Anagnostopoulou, Ioannis Mavridis, Michael Athanasopoulos, Alexios Mylonas, Dimitris Gritzalis

“…Industrial Internet of Things (IIoT) refers to a broad network of low-cost, interconnected devices, including actuators, programmable logic controllers (PLCs), and sensors. …”
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Spatial association characteristics and evolutionary mechanisms of water pollution in China: A network structure dependence perspective by Ning Zhang, Hongjie Liu, Hongji Dong, Zhijie Cao, Ruoxin Zhan

“…Furthermore, the temporal exponential random graph model is employed to investigate the evolutionary mechanisms of the network. …”
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A Multivariate Spatiotemporal Feature Fusion Network for Wind Turbine Gearbox Condition Monitoring by Shixian Dai, Shuang Han, Xinjian Bai, Zijian Kang, Yongqian Liu

“…SCADA data, due to their easy accessibility and low cost, have been widely applied in wind turbine gearbox condition monitoring. …”
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Generative Artificial Intelligence-Enabled Facility Layout Design Paradigm by Fuwen Hu, Chun Wang, Xuefei Wu

“…The convolutional knowledge graph embedding (ConvE) method is employed for link prediction, converting entities and relationships into low-dimensional vectors to infer optimal spatial arrangements while addressing data sparsity through negative sampling. …”
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Multi-View Robust Tensor-Based Subspace Clustering by Esraa M. Al-Sharoa, Mohammad A. Al-Wardat

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Soft actor-critic algorithm and improved GNN model in secure access control of disaggregated optical networks by Zhenqian Zhao, Yuhe Wang

“…Abstract To address the challenges of coordinated defense amid dynamic topology evolution and multidimensional security threats in decomposed optical networks, this study introduces the Graph-Entangled Security Actor-Critic (GESAC) model. …”
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Late antenatal care booking and associated factors among pregnant women in Ethiopia: evidence from 2019 performance monitoring for action data analysis by Getachew Teshale, Melak Jejaw, Kaleb Assegid Demissie, Mihret Getnet, Endalkachew Dellie, Demiss Mulatu Geberu, Tesfahun Zemene Tafere, Banchlay Addis, Lake Yazachew, Nigusu Worku, Misganaw Guadie Tiruneh, Tadele Biresaw Belachew

“…Priority should be given to women with low levels of education, women who have one or more parity, and women with unplanned pregnancies. …”
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Multi-view kernel subspace clustering with adaptive information completion and fusion for unsupervised systems by Li Guo, Zhigui Liu, Jiao Bao, Qian Wang

“…We also design a multi-view data completion framework with enhanced low-rank constraint to improve the quality of incomplete data in each view. …”
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Open-source customizable website to follow-up physical rehabilitation of cardiovascular patients at home by Ariadna Sabala, Donough Mcbrearty, Raffaella Salama, Ramon Farré, Ramon Farré, Ramon Farré, Ailís Loughnane, Jorge Otero, Jorge Otero, Núria Farré, Núria Farré

“…The website allows healthcare professionals to browse patients’ data, send feedback messages, and export data in a conventional spreadsheet format. …”
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