Detection of Attacks in Network Traffic with the Autoencoder-Based Unsupervised Learning Method by Yalçın Özkan

“…The threshold value is calculated as a value that will optimize the model performance. It is observed that supervised learning methods lead to difficulties and cost increases in the detection of cyber-attacks and the labeling process. …”
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Log Anomaly Detection Method Based on Transformer and Temporal Convolutional Networks by Niandong Liao, Zihan Liu

“…To overcome these difficulties, this study proposes TranConvAD, a global and local feature extraction method for log anomaly detection. The method extracts multidimensional features of logs from three perspectives: time, risk level, and message content, and designs FastText and BERT based multi-type word embedding methods for generating log representation vectors, aiming to minimize noise introduction and information loss. …”
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OBJECT DETECTION METHOD APPLICATION TO RUNWAY IMAGERY IN LOW VISIBILITY CONDITIONS by D. S. Andreev

“…Conclusions about the possibility to use the studied methods in Enhanced Vision Systems are made. Further development of optimization methods is required to perform detection in video sequences in real time. …”
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Improved YOLOv8 Object Detection Method for Drone Aerial Images by Zhong Shuai, Wang Liping

“…A new improved YOLOv8 drone aerial image object detection method, referred to as the BDI-YOLO model, is proposed to address the problems of small target object size and blurry feature information in drone aerial images, which can lead to missed and false detections. …”
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Bottom Detection Method of Side-Scan Sonar Image for AUV Missions by Huapeng Yu, Ziyuan Li, Dailin Li, Tongsheng Shen

“…To address this problem, this study proposes an automatic detection method for the sea bottom line based on the actual experimental acquisition of SSS images, which is supposed to support the autonomous underwater vehicle (AUV) for intelligent target detection and classification. …”
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Crack Detection Method of Sleeper Based on Cascade Convolutional Neural Network by Liming Li, Shubin Zheng, Chenxi Wang, Shuguang Zhao, Xiaodong Chai, Lele Peng, Qianqian Tong, Ji Wang

“…This work presents a new method for sleeper crack identification based on cascade convolutional neural network (CNN) to address the problem of low efficiency and poor accuracy in the traditional detection method of sleeper crack identification. …”
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Defect Detection System on Stamping Machine Using the Image Processing Method by Nur Wisma Nugraha, Suharayadi Pancono, Gun Gun Maulana

“…It is proven by implementing a visual inspection system that gets an accuracy rate of 95.97% to detect rejected products and optimize the OEE presentation value obtained. …”
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Angle detection method for surface mount components based on weighted clustering by Chunfu ZHANG, Zhiqiang SONG

“…To validate the effectiveness of the proposed method, we conducted experimental tests on eight different types of chip packages and compared the results with those from two state-of-the-art line segment detection algorithms currently in use. …”
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Damage Detection Method for Road Ancillary Facilities Integrating Attention Mechanism by Shuang Yang, Huiqin Wang, Ke Wang, Nan Guo

“…Anti-glare reflective stickers, as essential road ancillary facilities on highways, play a crucial role in ensuring driver visibility during nighttime and adverse weather conditions. However, existing detection methods often suffer from low accuracy, high computational complexity, and large model sizes when dealing with complex backgrounds, small targets, and long-distance conditions. …”
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The Screening of Aptamers and the Development of a Colorimetric Detection Method for the Pesticide Deltamethrin by Caixia Wu, Wenwei Li, Jiafu Wang, Sheng Li

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An enhanced substation equipment detection method based on distributed federated learning by Zhuyun Li, Qiutong Qin, Yingyi Yang, Xiaoming Mai, Yuya Ieiri, Osamu Yoshie

“…The framework’s novelty lies in its dual focus: optimizing detection performance through architectural enhancements and ensuring secure, efficient distributed learning. …”
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Optimization and Quality Analysis of Different Extraction Methods of Palm Seed Oil by Qi-Zhao Li, Zheng-Qun Cai

“…The seed oil was analyzed and detected. The results showed that the water enzymatic extraction method was the best, and the optimal extraction conditions were as follows: enzymatic hydrolysis time 16 h, enzymatic hydrolysis temperature 50°C, and enzymatic content 2.0%. …”
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Choosing the Optimal Method for Measuring Glomerular Filtration Rate in Pediatric Intensive Unit by Semen N. Averyanov, Valerij G. Аmcheslavskiy, Vladimir G. Bagaev, Rustem F. Tepaev

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Dynamic Collaborative Optimization Method for Real-Time Multi-Object Tracking by Ziqi Li, Dongyao Jia, Zihao He, Nengkai Wu

“…Finally, a Bi-modal dynamic decision method (BDDM) is devised to fuse appearance and motion information for hierarchical decision making. …”
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Anthropogenic influence on fixed threshold-based heatwave in China and constrained future projection by Heyang Song, Ying Sun

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A Method of UAVs Route Optimization Based on the Structure of the Highway Network by Shuyun Niu, Jisheng Zhang, Fan Zhang, Honghai Li

“…Second, a multiobjective optimization model is proposed, its aim is to minimize the total cruise time under detecting as many important links as possible and minimize the information value undetected by UAVs, and the fuzzy operator is introduced to the constraint conditions. …”
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Optimization of Abdominal Cavity Limitation Method for Prolongation of Peritoneal Dialysis in Experiment by Kebkalo A., Hrianyla V., Reiti A., Yatsyk I.

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Research on Denoising of Bridge Dynamic Load Signal Based on Hippopotamus Optimization Algorithm–Variational Mode Decomposition–Singular Spectrum Analysis Method by Zhengqiang Zhong, Zhen Li, Jinlong Wang, Cong Tang, Yu Liu, Kaijun Guo

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Application of Electrical Resistivity Tomography Method Combined with Cross-Well Seismic Computed Tomography Method in Karst Detection in Complex Urban Environment by Yansong Zhang, Jianfei Fu, Sanshi Jia, Jiaqi Meng

“…Facing the problems in determining the distribution range of karst areas and detecting karst caves under the restrictions of complex building and human exploration environments on the urban surface, taking the karst detection of Tianmeixin village and its southern pond in the north extension section of Guanghua Intercity Railway Line 18 as the application research object, based on the formation mechanism of karst and the existing geophysical detection methods, the electrical resistivity tomography method with a large detection range and the cross-well seismic computed tomography method with a high detection accuracy are used to carry out application research on concealed karst cave detection, which are two geophysical technical detection methods with strong adaptability and anti-interference ability. …”
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Identifying key drivers of heatwaves: A novel spatio-temporal framework for extreme event detection by J. Pérez-Aracil, C. Peláez-Rodríguez, Ronan McAdam, Antonello Squintu, Cosmin M. Marina, Eugenio Lorente-Ramos, Niklas Luther, Verónica Torralba, Enrico Scoccimarro, Leone Cavicchia, Matteo Giuliani, Eduardo Zorita, Felicitas Hansen, David Barriopedro, Ricardo García-Herrera, Pedro A. Gutiérrez, Jürg Luterbacher, Elena Xoplaki, Andrea Castelletti, S. Salcedo-Sanz

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