Estimating Bandwidth and Analyzing Worst-Case Delay Bounds Using Network Calculus by Md Amirul Islam, Giovanni Stea

“…This paper proposes a bandwidth estimation framework for Network-on-Chip systems using network calculus, addressing the challenges due to nonlinear behavior and dynamic traffic. …”
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Resting-state EEG network variability predicts individual working memory behavior by Chunli Chen, Shiyun Xu, Jixuan Zhou, Chanlin Yi, Liang Yu, Dezhong Yao, Yangsong Zhang, Fali Li, Peng Xu

“…First, we identified both flexible and robust patterns of dynamic resting-state networks. Subsequently, we observed a significant positive correlation between WM performance and network variability, particularly in connections associated with the frontal, right central, and right parietal lobes. …”
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Identification of Rotary Machines Excitation Forces Using Wavelet Transform and Neural Networks by Francisco Paulo Lepore, Marcelo Braga Santos, Rafael Gonçalves Barreto

“…Unbalance and asynchronous forces acting on a flexible rotor are characterized by their positions, amplitudes, frequencies and phases, using its measured vibration responses. The rotary machine dynamic model is a neural network trained with measured vibration signals previously decomposed by wavelets. …”
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Towards Improved Eye Movement Biometrics: Investigating New Features with Neural Networks by Katarzyna Harezlak, Ewa Pluciennik

“…Two methods of biometric identification based on eye movements that utilize neural networks have been developed. In the first case, a feature vector was constructed from a 100-element time series depicting eye movement dynamics, which included velocity, acceleration, jerk, their point-to-point percentage changes, and frequency-domain representations. …”
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Optimizing Connectivity and Network Management with SDN Technology on VANET Using the SSF Method by Hane Yorda Dinata, Galura Muhammad Suranegara

“…Nevertheless, challenges such as fading and high mobility require additional mechanisms to further improve network performance in dynamic environments.…”
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An adaptive hexagonal deployment model for resilient wireless sensor networks in precision agriculture by Zhang Yinjun

“…The AFHSS mechanism dynamically adjusts frequency channels, mitigating interference and fortifying the network’s robustness against external disruptions. …”
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Long-term leaf nitrogen and phosphorus dynamics and drivers in China's forests under global change by Chenxi Li, Honglin He, Xinyu Zhang, Xiaoli Ren, Liang Shi, Li Zhang, Qian Xu, Mengyu Zhang, Yonghong Zhang

“…However, limited research has been conducted on long-term temporal leaf N:P variation over a range of temperature zones. …”
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Neuron‐Inspired Biomolecular Memcapacitors Formed Using Droplet Interface Bilayer Networks by Braydon Segars, Kyle Rosenberg, Sarita Shrestha, Joshua J. Maraj, Stephen A. Sarles, Eric Freeman

“…This is accomplished through dynamic material architectures, strengthening or weakening internal conduction pathways similar to synaptic connections within the brain. …”
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Two-Criteria Technique for the Resource-Saving Computing in the Fog and Edge Network Tiers by A. B. Klimenko

“…From this, a model of the problem of two-criteria optimization is formulated, taking into account the dynamics of the network topology in the process of performing a user mission. …”
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Group Authentication Key Agreement Protocol Based on Certificateless Cryptography in UAV Network by Yuecheng WANG, Youwen ZHU, Zhiqiang ZHANG

“…Therefore, group key agreement protocols for UAV networks must provide a lighter computing process and stronger security guarantees.Methods This protocol adopts a certificateless key system. …”
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Exploring UAV Networking From the Terrain Information Completeness Perspective: A Tutorial by Zhengying Lou, Ruibo Wang, Baha Eddine Youcef Belmekki, Mustafa A. Kishk, Mohamed-Slim Alouini

“…Terrain information is a crucial factor affecting the performance of unmanned aerial vehicle (UAV) networks. As a tutorial, this article provides a unique perspective on the completeness of terrain information, summarizing and enhancing the research on terrain-based UAV deployment. …”
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Securing face images in UAV networks using chaos and DNA cryptography approach by Saba Inam, Shamsa Kanwal, Eaman Amin, Omar Cheikhrouhou, Monia Hamdi

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Modified MCP-Based Modeling and Performance Analysis of 3-D Cellular Networks by Dorsaf Ghozlani, Aymen Omri, Seifeddine Bouallegue, Hela Chamkhia, Ridha Bouallegue

“…These derivations enable a deeper understanding of the model’s impact on network performance. To validate our theoretical findings, we conduct extensive Monte Carlo simulations, which demonstrate the accuracy of our proposed model. …”
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The reliably stable neural network controllers' synthesis with the transient process parameters optimization by Serhii Vladov, Anatoliy Sachenko, Victoria Vysotska, Yevhen Volkanin, Dmytro Kukharenko, Danylo Severynenko

“…The tasks to be solved are: study the stability of a closed-loop control system with a neural network controller, train the neurocontroller and Lyapunov neural network function, create an optimization model for the loss function minimization, and conduct a computational experiment as an example of the neural network stabilizing controller synthesis. …”
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Plant trait networks reveal the ecological strategies of Arabidopsis thaliana along ontogeny by Hai‐rong Qian, Jin‐lian Tong, Shu‐wen Li, Jiang‐bo Xie, Zhong‐yuan Wang, Yan Li, Shi‐tong Lu

“…Abstract Plant trait networks (PTNs) quantitatively describe the trait correlation patterns, which constrain the dynamic responses and individual fitness of plants under climate change. …”
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QuantumGS-Box—A Key-Dependent GA and QRNG-Based S-Box for High-Speed Cloud-Based Storage Encryption by Anish Saini, Athanasios Tsokanos, Raimund Kirner

“…The proposed work generates the S-box optimized values in a dynamic way, and an experimental evaluation of the proposed S-box method has been conducted using several cryptographic criteria, including bit independence criteria, speed, non-linearity, differential and linear approximation probabilities, strict avalanche criteria and balanced output. …”
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A spiking photonic neural network of 40 000 neurons, trained with latency and rank-order coding for leveraging sparsity by Ria Talukder, Anas Skalli, Xavier Porte, Simon Thorpe, Daniel Brunner

“…The system is governed by a modified Ikeda map, where adding slow inhibitory feedback forcing introduces excitability akin to biological dynamics. Using latency encoding and sparsity, the network achieves 83.5% accuracy on MNIST handwritten digits using only 22% of neurons, and 77.5% with only 8.5% of neurons. …”
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Beyond conventional vision: RGB-event fusion for robust object detection in dynamic traffic scenarios by Zhanwen Liu, Yujing Sun, Yang Wang, Nan Yang, Shengbo Eben Li, Xiangmo Zhao

“…To address this problem, we introduce a bio-inspired event camera integrated with an RGB camera to complement high dynamic range information, and propose a motion cue fusion network (MCFNet), an innovative fusion network that optimally achieves spatiotemporal alignment and develops an adaptive strategy for cross-modal feature fusion, to overcome performance degradation under challenging lighting conditions. …”
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Unified Underwater Communication Positioning Navigation and Timing Network System Design and Application by Lipeng Huo, Mengzhuo Liu, Heng Wen, Zheng Peng, Yusha Liu, Xiaoxin Guo, Jun-Hong Cui

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An Enhanced Framework for Assessing Pluvial Flooding Risk with Integrated Dynamic Population Vulnerability at Urban Scale by Xinyi Shu, Chenlei Ye, Zongxue Xu, Ruting Liao, Pengyue Song, Silong Zhang

“…Additionally, using multi-source remote sensing data, dynamic population vulnerability, and flood hazard processes, a quantitative dynamic flood risk analysis is conducted based on cloud models. …”
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