Scientometric analysis of research trends in hemorrhagic fever with renal syndrome: A historical review and network visualization by Bing Xu, Qian Yin, Danfeng Ren, Shaocong Mo, Tianzhi Ni, Shan Fu, Ze Zhang, Taotao Yan, Yingren Zhao, Jinfeng Liu, Yingli He

“…Through co-occurrence analysis, we categorized keywords into eight clusters and 24 sub-clusters, revealing six predominant research themes: Clinical Features, Epidemiology, Mechanisms, Virus, Evolution, and Host. …”
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A competitive coevolution-based evolutionary algorithm for the parallel inverse design of multiple soft network materials by Xiao Feng, Yuchen Lai, Xing Yang, Yongbin Yu, Fangling Li, Xiangxiang Wang, Jiacheng Liang, Jingye Cai, Shunze Cao

“…Soft network materials (SNMs) incorporating curved microstructures within lattice architectures have emerged as critical components in flexible electronics and tissue scaffolds. …”
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HMS-PAU-IN: A heterogeneous multi-scale spatiotemporal interaction network model for population analysis units by Xiaorui Yang, Rui Li, Jing Xia, Junhao Wang, Hongyan Li, Nixiao Zou

“…However, existing networks are constrained by fixed scales and the absence of temporal dynamics, with insufficient consideration of multi-scale features, thereby limiting their semantic representation and dynamic analysis capabilities. …”
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Employing Neural Networks, Fuzzy Logic, and Weibull Analysis for the Evaluation of Recycled Brick Powder in Concrete Compositions by Mohammad Mohtasham Moein, Komeil Rahmati, Ali Mohtasham Moein, Ashkan Saradar, Sam E. Rigby, Amin Akhavan Tabassi

“…Additionally, an impact damage evolution equation was presented for mixtures containing RBP. …”
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Introduction and Application Analysis of SDN in PTN by Jinkai Tang, Qi Zhang

“…With the features of end-to-end QoS, statistical multiplex and centralized network management, PTN plays an important role in a carrier network. …”
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Predictive performance and uncertainty analysis of ensemble models in gully erosion susceptibility assessment by Congtan Liu, Haoming Fan, Yixuan Wang

“…This study aims to identify the optimal feature datasets and to quantify the uncertainty associated with gully erosion prediction models by developing a novel methodological framework based on ensembles of the three machine learning models: Random Forest (RF), Convolutional Neural Network (CNN), and Transformer models. …”
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Understanding How Short-Termism and a Dynamic Investor Network Affects Investor Returns: An Agent-Based Perspective by Matthew Oldham

“…To address these topics, an agent-based artificial stock market is implemented, where investors utilize various information sources, including advice from investors in their network, to inform their investment decisions. Over time investors update their trust in their information sources and evolve their network by connecting to outperforming investors—Oracles—and discarding poor advisers, thereby simulating the evolution of an investor network. …”
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Single-cell sequencing provides clues about the developmental genetic basis of evolutionary adaptations in syngnathid fishes by Hope M Healey, Hayden B Penn, Clayton M Small, Susan Bassham, Vithika Goyal, Micah A Woods, William A Cresko

“…The examined pipefish evolutionary innovations are composed of recognizable cell types, suggesting that derived features originate from changes within existing gene networks. …”
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Integrating SAM priors with U-Net for enhanced multiclass cell detection in digital pathology by Zheng Wu, Ji-Yun Yang, Chang-Bao Yan, Cheng-Gui Zhang, Hai-Chao Yang

“…While classic segmentation networks like U-Net have gained widespread adoption in medical imaging, their integration with external prior features remains limited, thereby restricting the potential enhancement of segmentation accuracy. …”
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Assessing geographic polarisation in Britain’s digital landscape through stable dynamic embedding of spatial web data by Emerald Dilworth, Emmanouil Tranos, Daniel J. Lawson

“…These trends can be formally tested with p-values as well as interpreted in terms of covariates and features of the network. We show how the methodology can be made robust to the problems of large-scale real-world data, used to detect changes over time, and identify their characteristics. …”
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Transient Stability Assessment of Power Systems Built upon Attention-Based Spatial–Temporal Graph Convolutional Networks by Yu Nan, Weiping Niu, Yong Chang, Zhenzhen Kong, Huichao Zhao

“…A spatiotemporal convolution module is then employed to effectively capture the spatial features and temporal evolution patterns of transient stability data. …”
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Public Opinion Propagation Prediction Model Based on Dynamic Time-Weighted Rényi Entropy and Graph Neural Network by Qiujuan Tong, Xiaolong Xu, Jianke Zhang, Huawei Xu

“…The model was validated on multiple public opinion datasets, and the results indicate that, compared to baseline methods, it exhibits significant advantages in several evaluation metrics such as AUC, thereby fully demonstrating the effectiveness of the dynamic time-weighted mechanism in capturing the temporal evolution of public opinion dissemination and the dynamic changes in network structure.…”
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Transportation carbon emission efficiency network formation mechanism and spatial structural complexity analysis: Evidence from China by Lin Liu, Yuming Liu, Rong Zhao

“…The central region lacks a well-structured efficiency guidance system. (3) A multi-level composite network system exists among provinces, featuring a coordination network as the primary component and backbone network as secondary element. …”
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Handbook of protocols for standardized measurements of floral traits for pollinators in temperate communities by Alice Michelot‐Antalik, Alban Langlois, Francesco deBello, James Desaegher, Léa Genty, Jérémie Goulnik, Jérémy Grosjean, Anne‐Laure Jacquemart, Alan Kergunteuil, Robert R. Junker, Léna Jeannerod, Jean‐François Odoux, Magali Proffit, Bertrand Schatz, Maryse Vanderplanck, Anna E‐Vojtkó, Mathilde Baude

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Improvement of the methods of the estimation of reliability of multifunction corporative telecommunications on base of logician-probabilistic approach by Lozbinev F.Yu., Kolesnik E.V., Gamov A.A.

“…The analysis of principles of building, process of the creation and evolutions of the topological scheme of network is executed. …”
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Research and application of VoLTE video call quality based on machine learning by Qizhu ZHONG

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The Ultimate Evaluation of Current Consumption and QoS Metrics in 5G Mobile Networks Over IP Multimedia Subsystem (IMS) by Jussif Junior Abularach Arnez, Walmir Acioli E. Silva, Wederson Medeiros Silva, Ana Flavia de Oliveira Ribeiro, Janislley Oliveira de Sousa

“…We investigated the current consumption and QoS within 5G mobile networks, leveraging the IP Multimedia Subsystem (IMS) for Voice over New Radio (VoNR) and 5G Voice over Long-Term-Evolution using Dual-Connectivity feature (5G VoLTE). …”
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A Distributed Detection Method for Quality-related Faults in Complex Non-stationary Industrial Processes by Jie DONG, Daye LI, Yanmei WEI, Kaixiang PENG, Hui YANG

“…The static and dynamic features of stationary and non-stationary variables within the sub-blocks are then extracted using partial least squares (PLS) and long short-term memory (LSTM) network methods, respectively, and the features are fused. …”
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FS-STFNet: a few-shot adaptive spatiotemporal fusion network for short-term tropical cyclone intensity forecasting by Mengjiao Qin, Jingqi Wang, Yanshuo Wu, Yuhan Zhang, Wuxia Lin, Shoujuan Shu

“…This study proposes a Few-Shot Spatiotemporal Fusion Network (FS-STFNet) to improve short-term TC intensity prediction under limited data. …”
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Home is where my villa is: a machine learning-based predictive suitability map for Roman features in Northern Noricum (ca. 50–500 CE/Lower Austria/AUT) by Dominik Hagmann

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