Detecting phishing gangs via taint analysis on the Ethereum blockchain by Kangrui Huang, Weili Chen, Zibin Zheng

“…To help deal with this issue, this paper proposes a method of detecting phishing gangs on the Ethereum blockchain. …”
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Lane and Traffic Sign Detection for Autonomous Vehicles: Addressing Challenges on Indian Road Conditions by H. S. Gowri Yaamini, Swathi K J, Manohar N, Ajay Kumar G

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A privacy-enhanced framework with deep learning for botnet detection by Guangli Wu, Xingyue Wang

“…Among the existing botnet detection methods, whether they extract deterministic traffic interaction features, use DNS traffic, or methods based on raw traffic bytes, these methods focus on the detection performance of the detection model and ignore possible privacy leaks. …”
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Research on SBMPC Algorithm for Path Planning of Rescue and Detection Robot by Lin-Lin Wang, Li-Xin Pan

“…This research aims to improve autonomous navigation of coal mine rescue and detection robot, eliminate the danger for rescuers, and enhance the security of rescue work. …”
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SPANet: Spatial perceptual activation network for camouflaged object detection by Jianhao Zhang, Gang Yang, Xun Dai, Pengyu Yang

“…Abstract Camouflaged object detection (COD) aims to segment objects embedded in the environment from the background. …”
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Deep encoder-decoder networks for belt longitudinal tear detection by Lei You, Minghua Luo, Xinglin Zhu, Bin Zhou

“…The belt conveyor is susceptible to longitudinal tearing, which poses a serious threat to the safety of coal mines. Traditional methods for detecting longitudinal tears have limitations such as poor image quality, limited applicability, and high hardware costs. …”
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Lightweight Detection Algorithm for Breast-Mass Features in Ultrasound Images by Taojuan Li, Wen Liu, Mingxian Song, Zheng Gu, Ling Hai

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Universal, untargeted detection of bacteria in tissues using metabolomics workflows by Wei Chen, Min Qiu, Petra Paizs, Miriam Sadowski, Toma Ramonaite, Lieby Zborovsky, Raquel Mejias-Luque, Klaus-Peter Janßen, James Kinross, Robert D. Goldin, Monica Rebec, Manuel Liebeke, Zoltan Takats, James S. McKenzie, Nicole Strittmatter

“…In this work, TSMs are found in >90% of samples, suggesting the general applicability of this workflow to detect bacterial presence with standard MS-based analytical methods.…”
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Research on multi dimensional feature extraction and recognition of industrial and mining solid waste images based on mask R-CNN and graph convolutional networks by Shuqin Wang, Na Cheng, Yan Hu

“…The innovation of this method lies in breaking through the bottleneck of multi-feature fusion difficulty in traditional methods by combining instance segmentation and graph structure modeling.The study used Mask R-CNN for instance segmentation of industrial and mining solid waste images, generating masks, bounding boxes, and category information for each instance. …”
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Transformer Online Monitoring Data Abnormal Value Detection and Cleaning by QIAN Yucheng, ZHEN Chao, JI Kun, ZHAO Changwei, FU Longming, ZHANG Yajing

“…The online monitoring data can monitor the status of the transformer in real time However, it is found that there is a problem of unreliable data, which is directly related to the accuracy of the subsequent status assessment In view of the characteristics of abnormal values in online monitoring data, and the general abnormal state detection method is based on the threshold, it is difficult to distinguish the noise data in time, so a method based on gray correlation and Kmeans clustering is proposed The gray correlation method is used to mine the degree of association of online multivariate time series data, and the strong correlation sequence is extracted to provide a basis for the subsequent multivariate sequence anomaly data detection. …”
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Fine identification of vegetation types in open pit mining regions using combined UAV RGB imagery and LiDAR point cloud data by Suling He, Yuncheng Deng, Jinliang Wang, Mengjia Luo

“…To address this issue, this study proposed a multi-scale hierarchical classification (MSHC) method for fine-scale mapping of vegetation types in open phosphate mining areas by combining unmanned aerial vehicle (UAV) RGB remote sensing imagery and light detection and ranging (LiDAR) data with the support of object-oriented methods. …”
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Improving a data mining based diagnostic support tool for rare diseases on the example of M. Fabry: Gender differences need to be taken into account. by Philipp Hahn, Werner Lechner, Rainer-Georg Siefen, Christina Lampe, Peter Nordbeck, Lorenz Grigull, Thomas Lücke

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Metagenome-validated combined amplicon sequencing and text mining-based annotations for simultaneous profiling of bacteria and fungi: vaginal microbiota and mycobiota in healthy wo... by Seppo Virtanen, Schahzad Saqib, Tinja Kanerva, Rebecka Ventin-Holmberg, Pekka Nieminen, Tiina Holster, Ilkka Kalliala, Anne Salonen

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KEXNet: A Knowledge-Enhanced Model for Improved Chest X-Ray Lesion Detection by Quan Yan, Junwen Duan, Jianxin Wang

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A literature survey of shapelet quality measures for time series classification by Teng Li, Xiaodong Guo, Cun Ji

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Exploring Trial-and-Error in Deep Learning: Initial Application to Isotope Detection in Mass Spectrometry by Qihong Jiao, Yuxiao Wang, Yongshuai Wang, Shiwei Sun, Xuefeng Cui

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Predicting the Attraction and Retention of Customers in Sports Pools in Isfahan City Using a Decision Tree: Presenting a Data Mining-Based Model by Seyed Masoud Mirsaeidi, Davood Nasr Esfahani

“…The purpose of this research is collective learning techniques and a combination of classification algorithms in data mining, evaluated the performance of these algorithms to predict whether customers of Isfahan sports pools would drop over a 6-year period. …”
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A Community Detection Algorithm Based on Topology Potential and Spectral Clustering by Zhixiao Wang, Zhaotong Chen, Ya Zhao, Shaoda Chen

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Explainable AI Highlights the Most Relevant Gait Features for Neurodegenerative Disease Classification by Gianmarco Tiddia, Francesca Mainas, Alessandra Retico, Piernicola Oliva

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An Improved Topology-Potential-Based Community Detection Algorithm for Complex Network by Zhixiao Wang, Ya Zhao, Zhaotong Chen, Qiang Niu

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