Lightweight construction safety behavior detection model based on improved YOLOv8 by Kan Huang, Mideth B. Abisado

Subjects: “…Lightweight construction safety behavior detection…”
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Research Progress on Video-based Abnormal Behavior Detection in the Grain Storage Industry by CHEN Wei-dong, DING Jun-dan, HAN Zhi-qiang, HE Wei, ZHANG Feng

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Patrolling and Cleaning: Threat Detection and Response Behaviors of Soldiers in a Social Aphid by Zhixiang Liu, Zhentao Cheng, Hui Zhang, Xiaolei Huang

“…<i>C. lanigera</i> soldiers continuously patrol around the colony to detect potential threats. When encountering potential threats or obstacles, soldiers actively initiate cleaning behavior. …”
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Individual behavior tracking of heifers by using object detection algorithm YOLOv4 by Sarah Jahn, Gabriel Schmidt, Lisa Bachmann, Robert Kammerer, Helen Louton, Anne K. Schütz, Timo Homeier-Bachmann

Subjects: “…animal behavior…”
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Detection and recognition of unsafe behaviors of underground coal miners based on deep learning by GUO Xiaoyuan, ZHU Meiqiang, TIAN Jun, ZHU Beibei

“…A top-down approach was adopted to construct a YOLOv5s_swin target detection model based on a self-attention mechanism. …”
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Real-time classroom student behavior detection based on improved YOLOv8s by Xiaojing Sheng, Suqiang Li, Sixian Chan

“…With the rapid advancement of behavior detection technology, identifying classroom behaviors of students is becoming increasingly common in educational settings. …”
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A Novel Behavior-Based Virus Detection Method for Smart Mobile Terminals by Yanbing Liu, Shousheng Jia, Congcong Xing

“…In this paper, we propose a behavior-based virus detection method for smart mobile terminals which signals the existence of malicious code through identifying the anomaly of user behaviors. …”
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APT Detection via Hypergraph Attention Network with Community-Based Behavioral Mining by Qijie Song, Tieming Chen, Tiantian Zhu, Mingqi Lv, Xuebo Qiu, Zhiling Zhu

“…To address this, we propose a Hypergraph Attention Network framework for APT detection. First, we employ anomaly node detection on provenance graphs constructed from kernel logs to select seed nodes, which serve as starting points for discovering overlapping behavioral communities via node aggregation. …”
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Abnormal Electricity Consumption Behaviors Detection Based on Improved Deep Auto-Encoder by Nvgui LIN, Lanxiu HONG, Daoshan HUANG, Yang YI, Zhixuan LIU, Qifeng XU

“…In order to accurately detect the abnormal electricity consumption behaviors for reducing the operating costs of power companies, a detection method of abnormal electricity consumption behaviors is proposed based on the improved deep auto-encoder (DAE). …”
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Sarcasm detection method based on fusion of text semantics and social behavior information by Zhaoyang FU, Zhikai CHEN, Li PAN

“…Sarcasm is a complex implicit emotion that poses a significant challenge in sentiment analysis, particularly in social network sentiment analysis.Effective sarcasm detection holds immense practical significance in the analysis of network public opinion.The contradictory nature of sarcastic texts, which exhibit implicit semantics opposite to the real emotions of users, often leads to misclassification by traditional sentiment analysis methods.Moreover, sarcasm in daily communication is often conveyed through non-textual cues such as intonation and demeanor.Consequently, sarcasm detection methods solely relying on text semantics fail to incorporate non-textual information, thereby limiting their effectiveness.To leverage the power of text semantics and social behavior information, a sarcasm text detection method based on heterogeneous graph information fusion was proposed.The approach involved the construction of a heterogeneous information network encompassing users, texts, and emotional words.A graph neural network model was then designed to handle the representations of the heterogeneous graph.The model employed a dual-channel attention mechanism to extract social behavior information, captured the deep semantics of text through emotional subgraphs, and ultimately combined text semantics and social behavior information.Extensive experiments conducted on the Twitter dataset demonstrate the superiority of the proposed method over existing approaches for sarcasm text detection and classification.…”
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Research on Anti-Trojan Malware Mechanism Based on Characteristic Behavior by Weifu Zou, Yiying Zhang, Suxiang Zhang, Chengyue Yang

Subjects: “…Trojan malware;behavior detection;regularization;security…”
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Research on Anti-Trojan Malware Mechanism Based on Characteristic Behavior by Weifu Zou, Yiying Zhang, Suxiang Zhang, Chengyue Yang

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FOA-BDNet: A behavior detection algorithm for elevator maintenance personnel based on first-order deep network architecture by Zengming Feng, Tingwen Cao

Subjects: “…behavior detection…”
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Detecting Credit-Seeking Behavior with Programmed Instruction Framesets in a Formal Languages Course by Yusuf Elnady, Mohammed Farghally, Mostafa Mohammed, Clifford A. Shaffer

“…In this work, we attempt to detect the degree to which either behavior takes place and investigate relationships with student performance. …”
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Anomaly Usage Behavior Detection Based on Multi-Source Water and Electricity Consumption Information by Wenqing Zhou, Chaoqiang Chen, Qin Yan, Bin Li, Kang Liu, Yingjun Zheng, Hongming Yang, Hui Xiao, Sheng Su

“…Current resident anomaly detection technologies rely on single-source energy data, lacking detailed behavior pattern analysis. …”
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SmartMal: A Service-Oriented Behavioral Malware Detection Framework for Mobile Devices by Chao Wang, Zhizhong Wu, Xi Li, Xuehai Zhou, Aili Wang, Patrick C. K. Hung

“…This paper presents SmartMal—a novel service-oriented behavioral malware detection framework for vehicular and mobile devices. …”
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Retracted: Intelligent Transport Surveillance Memory Enhanced Method for Detection of Abnormal Behavior in Video by Journal of Advanced Transportation

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Research on insider threat detection based on personalized federated learning and behavior log analysis by Xiaoyun Ye, Faqin Luo, Huangrongbin Cui, Jinlong Wang, Xiaoyun Xiong, Wencui Zhang, Jiawei Yu, Wenhao Zhao

Subjects: “…Insider threat detection…”
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Research on mine worker behavior detection in low-light underground coal mine environments by DONG Fangkai, ZHAO Meiqing, HUANG Weilong

Subjects: “…underground mine worker behavior detection…”
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A game theory-assisted machine learning methodology for subscriber churn behaviors detection by Ye OUYANG, Aidong YANG, Fanyu MENG

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