Three decades of collaboration in rheumatology: a comprehensive co-authorship network analysis (1994–2023) by Naruaki Ogasawara

“…Introduction This study investigated the evolution of collaborative research in rheumatology over 3 decades (1994–2023), utilizing co-authorship network analysis to uncover key contributors, structural trends, and global collaboration patterns. …”
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Time Series Forecasting Based on Temporal Networks Evolution and Dynamic Constraints by Yunlong Peng, Han Li, Xu Han

“…Subsequently, leveraging the unique evolutionary patterns of temporal networks, we employ matrix evolution to predict the topological structure of the network at the next time step. …”
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Measuring the Green Infrastructure Network Resilience: Based on Disturbance Scenario Simulations by Xuan Wang, Jialu Shi, Chengxin Wang, Xumin Jiao

“…We construct the evaluation index of GI network resilience. Using this index to evaluate the GI network resilience to changes under various disturbance scenarios. …”
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GENERATION OF ARTIFICIAL CHEST RADIOGRAPHS USING GENERATIVE ADVERSARIAL NEURAL NETWORKS by V. A. Kovalev, S. A. Kozlovski, A. A. Kalinovsk

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Human Activity Recognition Using Graph Structures and Deep Neural Networks by Abed Al Raoof K. Bsoul

“…This research presents a novel HAR system combining graph structures with deep neural networks to capture both spatial and temporal patterns in activities. …”
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Proposal for an SDN-Like Innovative Metro-Access Optical Network Architecture by Tommaso Muciaccia, Vittorio M. N. Passaro

“…The essential aim is to enable bandwidth shared among different passive optical networks (PONs) in order to achieve higher adaptability to increasingly migratory and volatile traffic patterns. …”
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Channel and model selection for multi-channel EEG input to neural networks by Kento Harachi, Yusuke Yamamoto, Ayumi Muramatsu, Hajime Nagahara, Noriko Takemura, Shinji Shimojo, Daisuke Furihata, Yuko Mizuno-Matsumoto

“…This study explores EEG data, often treated as a single modality, input into networks of varied structures as a multimodal data stream to evaluate accuracy. …”
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Integrating sensor networks to facilitate efficient energy management for smart grids by Arpita Nath Baruah, Malatesh S. Akkur, Jyoti Seth, Jaymeel Shah

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A vehicular network–based intelligent transport system for smart cities by Tayyaba Zaheer, Asad Waqar Malik, Anis Ur Rahman, Ayesha Zahir, Muhammad Moazam Fraz

“…We used a vehicular ad hoc network to implement an intelligent transportation system. …”
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Optimized driver fatigue detection method using multimodal neural networks by Shengli Cao, Peihua Feng, Wei Kang, Zeyi Chen, Bo Wang

“…Two advanced neural network models were developed and evaluated: a multimodal feature combination model and a multimodal feature coupled model. …”
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Neuropathic Pain Detection: An EEG-Based Brain Functional Network Approach by Abdulyekeen T. Adebisi, Ho-Won Lee, Kalyana C. Veluvolu

“…To address these challenges, our study utilizes electroencephalogram (EEG) signals to analyze BFNs through the weighted phase lag index (wPLI), capturing unique connectivity patterns associated with NP. Additionally, we employ a minimum dominating set (MDSet) approach to assess network control, revealing functional disruptions across various stages of NP severity. …”
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Probabilistic Interference Prediction for Dynamic 6G In-X Sub-Networks by Pramesh Gautam, Carsten Bockelmann, Armin Dekorsy

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A Convolutional Neural Network as a Potential Tool for Camouflage Assessment by Erik Van der Burg, Alexander Toet, Paola Perone, Maarten A. Hogervorst

“…However, discrepancies emerged at close distances, where YOLO’s performance was particularly sensitive to high-contrast, shape-breaking elements of the camouflage pattern. CNNs such as YOLO have significant potential for assessing camouflage effectiveness for a wide range of applications, such as evaluating or optimizing one’s signature and predicting optimal hiding locations in each environment. …”
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Precision Adverse Drug Reactions Prediction with Heterogeneous Graph Neural Network by Yang Gao, Xiang Zhang, Zhongquan Sun, Payal Chandak, Jiajun Bu, Haishuai Wang

“…The approach effectively integrates relations between patients and ADRs, and harnesses the power of heterogeneous Graph Neural Networks (GNNs) to address the limitations of traditional methods. …”
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Multilevel Feature Cross-Fusion-Based High-Resolution Remote Sensing Wetland Landscape Classification and Landscape Pattern Evolution Analysis by Sijia Sun, Biao Wang, Zhenghao Jiang, Ziyan Li, Sheng Xu, Chengrong Pan, Jun Qin, Yanlan Wu, Peng Zhang

“…Analyzing wetland landscape pattern evolution is crucial for managing wetland resources. …”
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Parenting styles and preschool children's development: from network analysis perspective by Jiahao Han, Jiahao Han, Zhixiong Yan, Zhixiong Yan

“…Protection) and five key developmental domains (Cognition, Emotion, Language, Art, and Body) in a large sample of preschool children. Using network analysis, we evaluated data from 6,394 Chinese parents who completed the Preschool Development Scale (PDS) and Parenting Style Scale (PRSS). …”
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Resilience assessment of interprovincial crop virtual water flow network in China by Hongrong Huang, La Zhuo, Yiping Wu, Yilin Liu, Xiangxiang Ji, Pute Wu

“…Finally, we evaluated network resilience through four dimensions (resistance, absorptive, adaptive, and transformative capacities) by simulating structural and functional responses under both intentional and random node failure scenarios for three major crops (rice, wheat, and maize). …”
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Transformer-based structural connectivity networks for ADHD-related connectivity alterations by Liting Shi, Lei Shi, Zhijun Cui, Chengting Lin, Rui Zhang, Jiayi Zhang, Yechen Zhu, Wei Shi, Jianlin Wang, Yanlong Wang, Dongxing Wang, Haihong Liu, Xin Gao

“…Results Here we show that the proposed method performs well in distinguishing ADHD individuals from healthy controls, with accuracy reaching 71.9 percent and an area under curve of 0.74. The structural networks also reveal significant differences in connectivity patterns (paired t-test: P = 0.81 × 10−6), particularly involving regions responsible for motor and executive function. …”
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Postmarketing safety evaluation of pemetrexed using FAERS and JADER databases by Luo Lv, Xiangyang Wu, Yubo Ren, Yuli Guo, Haixiong Wang, Xiaofang Li

“…This study conducted a comprehensive pharmacovigilance analysis using two major spontaneous reporting systems—FAERS (2004Q1–2024Q3) and JADER (2007Q1–2024Q3)—to evaluate pemetrexed-related ADEs. Disproportionality analysis was performed using four algorithms: Reporting Odds Ratio (ROR), Proportional Reporting Ratio (PRR), Bayesian Confidence Propagation Neural Network (BCPNN), and Multi-Item Gamma Poisson Shrinker (MGPS). …”
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Evaluation of high-standard public transport centres in the Slovak Republic by Horňák Marcel, Struhár Peter, Pšenka Tomáš

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