Physics-Informed Neural Networks for the Structural Analysis and Monitoring of Railway Bridges: A Systematic Review by Yuniel Martinez, Luis Rojas, Alvaro Peña, Matías Valenzuela, Jose Garcia

“…Physics-informed neural networks (PINNs) offer a mesh-free approach to solving partial differential equations (PDEs) with embedded physical constraints. …”
Get full text

Finger Vein Recognition Based on Unsupervised Spiking Convolutional Neural Network with Adaptive Firing Threshold by Li Yang, Qiong Yao, Xiang Xu

“…Our proposed ATSNN dynamically adjusts the firing thresholds of neurons based on average potential tensors, thereby enabling adaptive modulation of the neuronal input-output response and enhancing network robustness. …”
Get full text

Network intrusion detection based on relative mutual K-nearest neighbor density peak clustering by Chunhua Ren, Changyuan Wang, Yang Yu, Wanan Yang, Ruiqi Guo

“…The application of traditional clustering algorithms in intrusion detection usually relies on a preset number of clusters. However, network intrusion data is highly random and dynamic, and the number and distribution structure of clusters are often difficult to determine in advance, resulting in limited detection accuracy and adaptability. …”
Get full text

Spatial–Temporal Evolution of Ecological Network Structure During 1967–2021 in Yongding River Floodplain by Junyi Su, Minghao Wu, Zhicheng Liu

“…Constructing a rational ecological network is crucial for balancing regional development with environmental protection. …”
Get full text

Network analysis used to investigate the symptoms of cancer patients during chemotherapy: a scoping review by Xiaodan Shao, Na Wang, Ke Tang, Kunning Wang, Zhangyan Tan, Jiangxiu Xie, Zhiwei Shen, Yuting Jiang, Yan Zhang

“…Future research should focus on longitudinal studies to better understand the dynamic changes in symptom networks and their implications for symptom management interventions.…”
Get full text

Performance Assessment of Optimized Link State Routing Protocol on Vehicular Ad Hoc Network Simulation by Yap Yu Xian, Sumendra Yogarayan, Siti Fatimah Abdul Razak, Md. Shohel Sayeed, Mohd. Fikri Azli Abdullah, Subarmaniam Kannan, Afizan Azman

“…This study evaluates the performance of the Optimized Link State Routing (OLSR) protocol within Vehicular Ad-hoc Networks (VANETs), focusing on its capability to handle different traffic densities and dynamic environments. …”
Get full text

A Detailed Inspection of Machine Learning Based Intrusion Detection Systems for Software Defined Networks by Saif AlDeen AlSharman, Osama Al-Khaleel, Mahmoud Al-Ayyoub

“…This is achieved by allowing more dynamic and programmatically efficient network configuration; hence, simplifying networks through centralized management and control. …”
Get full text

Cloud–Edge Collaborative Model Adaptation Based on Deep Q-Network and Transfer Feature Extraction by Jue Chen, Xin Cheng, Yanjie Jia, Shuai Tan

“…To overcome these issues, this paper proposes a cloud-edge collaborative model adaptation framework that integrates deep reinforcement learning via Deep Q-Networks (DQN) with local feature transfer. The framework enables category-level dynamic decision making, allowing for selective migration of classification head parameters to achieve on-demand adaptive optimization of the edge model and enhance consistency between cloud and edge results. …”
Get full text

Evaluating urban network efficiency and safety impacts of connected and autonomous vehicles in complex city environments by Nick Sauciur, Amirarsalan Mehrara Molan, Soheil Sajjadi, Bernice Liu, Anurag Pande

“…This phenomenon may be attributed to the inherent complexities of urban networks, which present numerous interruptions, such as traffic signals and multimodal traffic accessing the network from several points. …”
Get full text

Investigation into the Prediction of Ship Heave Motion in Complex Sea Conditions Utilizing Hybrid Neural Networks by Yuchen Liu, Xide Cheng, Kunyu Han, Zhechun Liu, Baiwei Feng

“…Sensitivity analysis was conducted to optimize the prediction performance of the CNN-BiLSTM-Attention hybrid neural network method, resulting in a significant improvement in MAPE and enhancing the accuracy of ship motion prediction. …”
Get full text

Research on Ship Engine Fuel Consumption Prediction Algorithm Based on Adaptive Optimization Generative Network by Defu Zhang, Yuxuan Song, Jianfeng Gao, Zhenyu Shen, Liangkuan Li, Anren Yao

“…Furthermore, to overcome the limitations of existing models, such as insufficient prediction accuracy and poor stability under complex operating conditions, a Meta-learning Diffusion Residual Attention Network (MD-RAN) is proposed. This approach leverages the strengths of diffusion models in nonlinear generative modeling, integrates meta-learning mechanisms to enhance task adaptation speed, employs multi-head attention modules to strengthen feature extraction, and incorporates dynamic residual connections to improve training stability and flexibility. …”
Get full text

Molecular mechanisms of efferocytosis imbalance in the idiopathic pulmonary fibrosis microenvironment: from gene screening to dynamic regulation analysis by Qian Jin, Yi Kang, Wenwen Jin, Ying Liu, Qian Chen, Jian Liu, Yali Guo, Yuguang Wang

Get full text

A Blockchain-Based Federated Forest for SDN-Enabled In-Vehicle Network Intrusion Detection System by Ibrahim Aliyu, Marco Carlo Feliciano, Selinde Van Engelenburg, Dong Ok Kim, Chang Gyoon Lim

“…In-vehicle communication systems are usually managed by controller area networks (CAN). By broadcasting packets to their bus, the CAN facilitates the interaction between Electronic Control Units (ECU) that coordinate, monitor and control internal vehicle components. …”
Get full text

A network analysis of alexithymia, empathy, and suicidal ideation in Chinese adolescents with major depressive disorders by Yudong Shi, Yudong Shi, Qing Zhang, Qing Zhang, Song Wang, Song Wang, Ling Zhang, Zhiwei Liu, Jiawei Wang, Xiangfen Luo, Xiangwang Wen, Huanzhong Liu, Huanzhong Liu

“…., regression models) focus on linear associations, network analysis provides unique advantages by mapping dynamic symptom interactions and identifying pivotal nodes that may drive suicidal risk. …”
Get full text

YOLOv8n-RF: A Dynamic Remote Control Finger Recognition Method for Suppressing False Detection by Yawen Wang, Gaofeng Wang, Yining Yao

“…Addressing the issues of false detection and high detection costs in gesture recognition algorithms for gesture interaction, this paper proposes the YOLOv8n-Remote Finger (YOLOv8n-RF) algorithm for dynamic remote control finger detection. This algorithm utilizes the CRVB-DSConvEMA module in the feature extraction network, adopts the SPPF-DSConvEMA module in the downsampling process, and introduces BiFPN in the Neck layer. …”
Get full text

Diversification of the dynamics of population size and the number of the employed in small and medium-sized Polish towns from 1995 to 2010 by Korzeniak Grażyna

Get full text

Estimation and test assessment of the rail pads effect on the indicators of dynamic impact of the rolling stock on the track in the joint area by V. N. Kaplin, M. N. Myslivets, E. A. Sidorova, E. A. Polunina

“…Assessment of the rail pads construction material shock-absorbing properties was conducted considering the elastic properties of the rail support with static and dynamic loads. …”
Get full text

Educating gender equity through non-competitive cooperative motor games: Transforming stereotypes and socio-affective dynamics by Carlos Mallén-Lacambra, Miguel Pic, Pere Lavega-Burgués, Zhaira Ben-Chaabâne

Get full text

The role of fracture in dynamic tensile responses of fractured rock mass: Insight from a particle-based model by Changtai Zhou, Yichao Rui, Jiadong Qiu, Zhihe Wang, Tao Zhou, Xiting Long, Ke Shan

“…In this study, a particle-based model incorporating the discrete fracture network (DFN) to elucidate the dynamic tensile responses and associated uncertainty of rock mass. …”
Get full text

Significant impact of bleaching treatment on phage-host interaction dynamics in a full-scale wastewater treatment plant by Peihan Yan, Junge Zhu, Qianwei Ji, Gaolin Hou, Guoqiang Liang, Xinchun Liu, Ruyin Liu

“…Our results demonstrate that the primary bleaching event induced significant shifts in both bacterial and viral communities, as well as in virus-host interactions, as evidenced by alterations in bacteria-virus interaction networks and virus-to-host ratio dynamics. Following bleaching, the bacteria-virus network became less interconnected but more compartmentalized. …”
Get full text