Low-overhead routing algorithm for opportunistic networks based on immunity information piggybacked by SV by Zhi REN, Cong CHEN, Ya-nan CAO, Chen PENG, Qian-bin CHEN

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Research on end-to-end network link delay inference based on link reconstruction-destruction by Yong-sheng LIANG, Bo GAO, Yue ZOU, Ji-hong ZHANG, Nai-tong ZHANG

“…Based on two assumptions,inference model and end-to-end delay data acquisition,an approach to end-to-end network internal link delay inference based on link reconstruction-deconstruction (LRD) was proposed.Pseudo likelihood estimation (PLE) was adopted and the inference problem was divided into independent sub-problems.Inference units with definite solution are determined by LRD.By means of controlling average sampling precision and decreasing inference unit links,the computation complexity of link delay inference was significantly lowered.Experimental study was performed based on model computation and NS2 simulation platform.Theoretical analysis and experimental results show that the approach is accurate and effective.…”
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Generation of Seismocardiography Heartbeats Using a Wasserstein Generative Adversarial Network With Feature Control by James Skoric, Yannick D'Mello, David V. Plant

“…<italic>Goal:</italic> Seismocardiography (SCG) offers critical insights into cardiac performance, but its analysis often faces challenges due to the limited availability of data. …”
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Long Short-Term Memory Networks for the Automated Identification of the Stationary Phase in Tribological Experiments by Yuxiao Zhao, Leyu Lin, Alois K. Schlarb

“…This result suggests that LSTM networks can reliably mimic manual identification processes in tribological data, providing a promising avenue for automating data analysis. …”
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Prediction of properties of electroless nickel plating with diamond powder based on artificial neural network by Lili FANG, Han LIU, Yufei JIANG

“…The accuracy of the models was evaluated by comparing experimental data with predicted values. ResultsThe BP neural network model and the GRNN model can be used to predict the coating performance of micron diamond powders after training on sample data. …”
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Fuzzy logic based social trust computation scheme in Flying Ad-hoc network by Joydeep Kundu, Sahabul Alam, Arindam Dey

“…Noncooperative drones might introduce harmful and erroneous data, reducing the network's trustworthiness and throughput. …”
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Adaptive congestion control in IoT networks: Leveraging one-way delay for enhanced performance by Lal Pratap Verma, Gyanendra Kumar, Osamah Ibrahim Khalaf, Wing-Keung Wong, Abdulsattar Abdullah Hamad, Sur Singh Rawat

“…To tackle this challenge, efficient regulation and supervision are essential for managing congestion in IoT networks. This research work introduces a One-Way-Delay (OWD)-based congestion control (CC) method that estimates data transmission delays of the communication path and adjusts network traffic accordingly. …”
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METHODOLOGY FOR INVESTIGATING THE PROBABILITY-TIME CHARACTERISTICS OF NETWORK ATTACKS IN THE SIMULATION MODELLING SOFTWARE ENVIRONMENT by Irina G. Drovnikova, Anatoly A. Zmeev, Anton D. Popov, Evgenii A. Rogozin

“…Conclusion  The output data of the methodology developed in the article are the probability-time characteristics of network attacks carried out on the information resource of automated systems. …”
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METHOD FOR THE DIAGNOSTICS OF SYNCHRONIZATION DISTURBANCES IN THE TELECOMMUNICATIONS NETWORK OF A CRITICAL USED COMPUTER SYSTEM by Vladimir Rudnytsky, Mykhailo Mozhaiev, Nina Kuchuk

“…Synchronization is a means of maintaining the operation of all digital equipment in a data transmission network at one average speed, which must exist at three levels: bit synchronization, synchronization at the level of channel intervals (time slot) and frame synchronization. …”
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Research on Self-Diagnosis and Self-Healing Technologies for Intelligent Fiber Optic Sensing Networks by Ruiqi Zhang, Liang Fan, Dongzhu Lu

“…This method integrates redundant fiber paths and a fault detection mechanism, enabling rapid data transmission recovery through redundant paths during network faults, ensuring the stable operation of the monitoring system. …”
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Threading Statistical Disclosure Attack with EM: An Algorithm for Revealing Identity in Anonymous Communication Networks by Alejandra Guadalupe Silva-Trujillo, Luis Yozil Zamarrón Briceño, Juan Carlos Cuevas-Tello, Pedro David Arjona-Villicaña, Luis Javier García Villalba

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Automated Morphology Detection of Nail-Fold Capillaries Through Enhanced Object Detection Network by Hang Thi Phuong Nguyen, Hieyong Jeong

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Integration of Sensor Data and Mathematical Modeling of Underwater Robot Behavior Using a Digital Twin by M. D. Gladyshev, A. V. Rybakov

“…The Arduino IDE platform was used as software for low-level programming, as well as MATLAB and Python for data analysis and graphing.Results. To verify the model, experiments were conducted on a physical model. …”
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Rapid Prediction of Multi-physics Coupling in Heat Pipe ReactorBased on Neural Network by ZHANG Junda, LIU Xiaojing, XIONG Jinbiao, CHAI Xiang, ZHANG Tengfei

“…In the present study, a data-driven neural network methodology was proposed for the rapid prediction of multi-physics interactions in heat pipe reactors, and grounded in a comprehensive framework of multi-physics coupling. …”

PlantNet: Scalable Convolutional Neural Network for Image-Based Plant Disease Detection by Sinha Anupa, Kumaraswamy Balasubramaniam

“…This research presents PlantNet, a novel Convolutional Neural Network (CNN) architecture tailored for accurate identification of plant diseases from images. …”
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MFA-SCDNet: A Semantic Change Detection Network for Visible and Infrared Image Pairs by Xingyu Li, Jiulu Gong, Jianxiong Wen, Zepeng Wang

“…To address this issue, we propose a Modal Feature Analysis Semantic Change Detection Network (MFA-SCDNet), a novel framework that analyzes cross-modal features for change identification. …”
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Edge-Based Dynamic Spatiotemporal Data Fusion on Smart Buoys for Intelligent Surveillance of Inland Waterways by Ruolan Zhang, Chenhui Zhao, Yu Liang, Jingfeng Hu, Mingyang Pan

“…The method employs an enhanced Long Short-Term Memory network for precise trajectory prediction of AIS data and a single-stage target detection model for video data analysis. …”
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RMIS-Net: a fast medical image segmentation network based on multilayer perceptron by Binbin Zhang, Guoliang Xu, Yiying Xing, Nanjie Li, Deguang Li

“…Comprehensive evaluations on two benchmark datasets (2018 Data Science Bowl for cellular structure segmentation and ISIC-2018 for lesion boundary delineation) demonstrate RMIS-Net’s superior performance, achieving state-of-the-art metrics including an average F1-score of 0.91 and mean intersection-over-union of 0.82. …”
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High-precision lung cancer subtype diagnosis on imbalanced exosomal data via Exo-LCClassifier by Siyu Zhan, Siyu Zhan, Hao Yu, Shuang Liu, Ke Qin, Lu Guo

“…Our solution integrates three advanced techniques: (1) DESeq2 for differential expression analysis, (2) WGAN for data augmentation, and (3) 1D CNN for feature learning and classification. …”
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A deep ensemble framework for human essential gene prediction by integrating multi-omics data by Xue Zhang, Weijia Xiao, Brent Cochran, Wangxin Xiao

“…DeEPsnap integrates the features derived from DNA and protein sequence data with the features extracted or learned from four types of functional data: gene ontology, protein complex, protein domain, and protein-protein interaction networks. …”
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