Adaptive Multi-Function Radar Temporal Behavior Analysis by Zhenjia Xu, Qingsong Zhou, Zhihui Li, Jialong Qian, Yi Ding, Qinxian Chen, Qiyun Xu

“…As a transitional phase towards Cognitive Multi-Functional Radar (CMFR), Adaptive Multi-Function Radar (AMFR) possesses the capability to emit identical waveform signals across different working modes and states for task completion, with dynamically adjustable waveform parameters that adapt based on scene information. …”
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An Unsupervised Moving Object Detection Network for UAV Videos by Xuxiang Fan, Gongjian Wen, Zhinan Gao, Junlong Chen, Haojun Jian

“…This paper introduces an unsupervised UAV moving object detection network. Domain-specific knowledge, including spatiotemporal consistency and foreground sparsity, is integrated into the loss function to mitigate false positives caused by motion parallax and platform movement. …”
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Elastic regularization networks for enhanced UAV visual tracking by Qingjiao Meng, Ji Li, Yan Jin, Zhaotian Deng

“…An elastic regularization network is introduced, enforcing sparsity and temporal smoothness in the objective function. …”
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A Vulnerability Index for Multimodal Transportation Networks: The Case of Korea by Ki-Han Song, Ha-Jeong Lee, Wonho Suh

“…Finally, we applied the framework to Korea’s multimodal transportation network, conducting a case study to validate the effectiveness and applicability of the proposed function. …”
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Graph Neural Network Learning on the Pediatric Structural Connectome by Anand Srinivasan, Rajikha Raja, John O. Glass, Melissa M. Hudson, Noah D. Sabin, Kevin R. Krull, Wilburn E. Reddick

“…Purpose: Sex classification is a major benchmark of previous work in learning on the structural connectome, a naturally occurring brain graph that has proven useful for studying cognitive function and impairment. While graph neural networks (GNNs), specifically graph convolutional networks (GCNs), have gained popularity lately for their effectiveness in learning on graph data, achieving strong performance in adult sex classification tasks, their application to pediatric populations remains unexplored. …”
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Social Networks Link Prediction Based on Incremental Learning by Jian SHU, Zhichen CHEN

“…The computed node pair contribution is passed through a sigmoid function to determine the probability of a link forming.Results and Discussions Experiments are conducted to evaluate the prediction performance of IL−SNLP on three real-world social networks with varying sizes and sparsity levels: Super User, Math Overflow, and Ask Ubuntu. …”
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Thermodynamic Entropy in Quantum Statistics for Stock Market Networks by Jianjia Wang, Chenyue Lin, Yilei Wang

“…Using the relevant partition functions, we develop the thermodynamic entropy to explore dynamic network characterisations. …”
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WEB SERVICE OF WORKS PLANNING USING NETWORK GRAPH by Інна Грод, Надія Балик, Ярослав Василенко, Сергій Мартинюк, Василь Олексюк, Ольга Барна

“…A review of previous research in this area has been conducted. The results of the pedagogical experiment and theoretical and methodological bases of construction of network graphs in works planning tasks are analyzed. …”
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Equivalence of Conventional and Modified Network of Generalized Neural Elements by E. V. Konovalov

“…We introduce the definition of equivalence in the functioning of the generalized neural element and the MGNE-network consisting of a single element. …”
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Models, systems, networks in economics, technology, nature and society by I.N. Titova, Yu.L. Rastopchina, A.D. Zhukovsky

Attention-Based Batch Normalization for Binary Neural Networks by Shan Gu, Guoyin Zhang, Chengwei Jia, Yanxia Wu

“…Furthermore, we conduct image classification experiments over the CIFAR10, CIFAR100, and TinyImageNet datasets using BinaryNet and ResNet-18 network structures. …”
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Transcriptional regulatory network analysis of microglia in multiple sclerosis by CAI Qiangwei, SUN Feng, WU Wenyu, SHAO Fuming, GAO Zhengliang, JIN Shengkai

“…Single cell regulatory network inference and clustering (SCENIC) method was applied to analyze transcription factor (TF) regulatory networks, aiming to identify key transcription factors potentially involved in MS regulation.Results·After quality control, a total of 149 062 nuclei were retained for analysis. …”
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Synergetic effects of network interconnections in the conditions of virtual reality by Kraus Kateryna, Kraus Nataliia, Shtepa Olena

“…PURPOSE: The disclosure of the content of the synergetic effect, as a result of network interactions of development institutions in a new economic virtual reality, and the presentation of the general characteristics of their relationships through knowledge of the functioning of clusters, which in the XXI century occurs during the digitalization of the economy, resulting in digital products/services and various platforms. …”
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Do global health networks facilitate innovation, learning and sharing? A qualitative analysis of the Quality-of-Care Network in Bangladesh, Ethiopia, Malawi, and Uganda. by Kondwani Mwandira, Seblewengel Lemma, Albert Dube, Kohenour Akter, Asebe Amenu Tufa, Agnes Kyamulabi, Gloria Seruwagi, Catherine Nakidde, Kasonde Mwaba, Nehla Djellouli, Charles Makwenda, Tim Colbourn, Yusra Ribhi Shawar

“…We conducted a prospective qualitative study to examine how QCN in Bangladesh, Ethiopia, Malawi and Uganda facilitated learning, sharing, and innovation within and between network countries. …”
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Influence of Geometric Effects on Dynamic Stall in Darrieus-Type Vertical-Axis Wind Turbines for Offshore Renewable Applications by Qiang Zhang, Weipao Miao, Kaicheng Zhao, Chun Li, Linsen Chang, Minnan Yue, Zifei Xu

“…To efficiently analyze geometric sensitivity, a surrogate model based on a radial basis function neural network is constructed, enabling fast aerodynamic predictions. …”
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Genetic mechanisms of dynamic functional connectivity density in diabetic retinopathy brains: a combined transcriptomic and resting-state functional magnetic resonance imaging stud... by Yu-Lin Zhong, Hao Liu, Xin Huang

“…Furthermore, protein-protein interaction (PPI) analyses indicated that these positive and negative genes could organize PPI networks with the support of respective hub genes.Conclusionour study identified altered dFCD variability in brain regions linked to visual and cognitive functions in DR patients. …”
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Multiphysics‐Informed Neural Networks for Coupled Soil Hydrothermal Modeling by Yanling Wang, Liangsheng Shi, Xiaolong Hu, Wenxiang Song, Lijun Wang

“…The gradient‐based annealing method is applied to adapt the loss function, which satisfactorily balances the water‐heat transport governing equation constraints on the neural networks. …”
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Identification and functional characterization of glycosyltransferase-related biomarkers for tuberculosis diagnosis by Yibiao Zhang, Xiaoyun Ye, Jiancong Xu, Jixiao He, Xiaobing Lu

“…The effectiveness of the potential biomarkers was evaluated through Receiver Operating Characteristic (ROC) curves and their expression patterns. We also conducted single-gene enrichment analysis to explore the biological functions and pathway activities linked to the characteristic genes. …”
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Network analysis of memristive device circuits: dynamics, stability and correlations by F Barrows, F C Sheldon, F Caravelli

“…For the case of a purely memresistive network, we derive Lyapunov functions, which can be used to study the stability of the network dynamics. …”
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Functional Hydrogels and Their Application in Drug Delivery, Biosensors, and Tissue Engineering by Ke Wang, Yuting Hao, Yingna Wang, Jinyuan Chen, Lianzhi Mao, Yudi Deng, Junlin Chen, Sijie Yuan, Tiantian Zhang, Jiaoyan Ren, Wenzhen Liao

“…The purpose of this article is to review recent advancements in several types of biomedical hydrogels, including conductive hydrogels, injectable hydrogels, double network hydrogels, responsive hydrogels, nanocomposite hydrogels, and sliding hydrogels. …”
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