Research on Dynamic Reliability of a Jet Pipe Servo Valve Based on Generalized Stochastic Petri Nets by Yuanbo Chu, Zhaohui Yuan, Jia Chen

“…However, existing methods are either having complicated theory or analyzing static reliability. Based on the generalized stochastic petri nets (GSPN) theory and the collected basic failure modes and failure rate data of jet pipe servo valve, this paper proposes a novel modeling and simulating method for system’s dynamic behavior analysis. …”
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Improved lattice‐based mix‐nets for electronic voting by Valeh Farzaliyev, Jan Willemson, Jaan Kristjan Kaasik

“…Abstract Mix‐networks were first proposed by Chaum in the late 1970s–early 1980s as a general tool for building anonymous communication systems. …”
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Modeling and security analysis of hardware trojan attack based on GSCPN by MEI Bo, GUO Wei, CAO Zhipeng, LI Peijie, ZHANG Wenbo

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Performance analysis of .Net and Spring Boot microservices on Microsoft Azure by Konrad Krekora

“…The results illustrate that Java microservices are generally more efficient, although that difference diminishes on the cloud platform where .Net shows better optimization with Microsoft Azure. …”
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Quasi-discreted dynamics of a neural net: The lighthouse model by Hermann Haken

“…This paper studies the features of a net of pulse-coupled model neurons, taking into account the dynamics of dendrites and axons. …”
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Die predikant: dienaar van God of net 'n gewone werknemer? by J. V. du Plessis, H. J. Deacon

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Seagrass macroinvertebrate bycatches support mosquito net trawl fishery in Madagascar by Herinirina Patricia A., Bigot Lionel, Frouin Patrick, Volandrae Huguette T.E, Randriatsara Roddy M., Behivoke Faustinato, Ranivoarivelo Lantoasinoro, Léopold Marc

“…The use of mosquito nets, primarily for targeting small and/or juvenile fish, has rapidly increased in Western Indian Ocean shallow seagrass beds and coral reefs over the last 20 years. …”
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XSE-TomatoNet: An explainable AI based tomato leaf disease classification method using EfficientNetB0 with squeeze-and-excitation blocks and multi-scale feature fusion by Md Assaduzzaman, Prayma Bishshash, Md. Asraful Sharker Nirob, Ahmed Al Marouf, Jon G. Rokne, Reda Alhajj

“…This study introduces XSE-TomatoNet, an enhanced version of EfficientNetB0, incorporating Squeeze-and-Excitation (SE) blocks and multi-scale feature fusion to boost classification performance. …”
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Neutrophil extracellular traps (NETs) are increased in rheumatoid arthritis-associated interstitial lung disease by Jing Xue, Miaomiao Nian, Yangyang Liang, Zeqin Zhu, Zhenyu Hu, Yuanyuan Jia, Shuhong Chi, Juan Chen

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Research on Pneumothorax Classification Model of DenseNet Based on Multilayer Network Optimization by Hongliang Huang, Qike Wang, Lidong Wang

“…The experimental results show that during the iteration process, the loss is reduced, and the accuracy is improved. The DenseNet-MNO classification model has a strong generalization ability and will not overfit. …”
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Prediction of power generation and maintenance using AOC‐ResNet50 network by Yueqiang Chu, Wanpeng Cao, Cheng Xiao, Yubin Song

“…The prediction performance is compared with the ResNet50 network and the Oct‐ResNet50 network, and it is found that the AOC‐ResNet50 network has the best prediction performance, with an MAE of only 0.176888. …”
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DFF-ResNet: An Insect Pest Recognition Model Based on Residual Networks by Wenjie Liu, Guoqing Wu, Fuji Ren, Xin Kang

“…We found that adding the residual blocks of earlier residual groups promotes the model performance significantly, which improves the capacity of generalization of the model. By stacking the feature fusion residual block, we constructed the Deep Feature Fusion Residual Network (DFF-ResNet). …”
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General Information and Academic Regulations by Kabale University

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Multiomics analysis reveals the involvement of NET1 in tumour immune regulation and malignant progression by Jian Pang, Xiaoyan Huang, Ya Gao, Xinyu Guan, Lejia Xiong, Lun Li, Nana Yin, Mei Dai, Tong Han, Wenjun Yi

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Tea disease identification based on ECA attention mechanism ResNet50 network by Lanting Li, Yingding Zhao

“…These results indicate that ECA-ResNet50 can effectively mitigate the interference of complex backgrounds and precisely recognize tea disease targets.…”
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Real-world Data of Antithrombotic Therapy in Neuroendovascular Therapy: Analysis of JR-NET 4 by Nozomi SASAKI, Yukiko ENOMOTO, Hiroshi YAMAGAMI, Koji IIHARA, Akira ISHII, Hirotoshi IMAMURA, Nobuyuki SAKAI, Chiaki SAKAI, Tetsu SATOW, Yuji MATSUMARU, Shinichi YOSHIMURA

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Enhanced ResNet-50 for garbage classification: Feature fusion and depth-separable convolutions. by Lingbo Li, Runpu Wang, Miaojie Zou, Fusen Guo, Yuheng Ren

“…However, existing deep learning-based garbage image classification models generally suffer from low classification accuracy, insufficient robustness, and slow detection speed due to the large number of model parameters. …”
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MSF-GhostNet: Computationally Efficient YOLO for Detecting Drones in Low-Light Conditions by Maham Misbah, Misha Urooj Khan, Zeeshan Kaleem, Ali Muqaibel, Muhamad Zeshan Alam, Ran Liu, Chau Yuen

“…To address these challenges, we present an improved YOLOv5 architecture named multiscale feature map GhostNet (MSF-GhostNet) by introducing GhostConv and C3Ghost modules to reduce the redundant operations in the head and neck. …”
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Detection of Masses in Mammogram Images Based on the Enhanced RetinaNet Network With INbreast Dataset by Wang M, Liu R, Luttrell IV J, Zhang C, Xie J

“…Additionally, we introduced transfer learning techniques into training process through leveraging pre-trained weights from other RetinaNet applications, and fine-tuned our improved model using the INbreast dataset.Results: The aforementioned innovations facilitate superior performance of the enhanced RetiaNet model on the public dataset INbreast, as evidenced by a mAP (mean average precision) of 1.0000 and TPR (true positive rate) of 1.00 at 0.00 FPPI (false positive per image) on the INbreast dataset.Conclusion: The experimental results demonstrate that our enhanced RetinaNet model defeats the existing models by having more generalization performance than other published studies, and it can also be applied to other types of patients to assist doctors in making a proper diagnosis. …”
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Automation of Presentation Record Production Based on Rich-Media Technology Using SNT Petri Nets Theory by Ivo Martiník

“…These original PPPA are significantly generalized for the newly introduced class of the SNT Petri process and agent nets in this paper. …”
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