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  1. 21

    Simultaneous Speech and Eating Behavior Recognition Using Data Augmentation and Two-Stage Fine-Tuning by Toshihiro Tsukagoshi, Masafumi Nishida, Masafumi Nishimura

    Published 2025-03-01
    “…To enable the daily monitoring of these behaviors, systems capable of simultaneously recognizing speech and eating behaviors are required. …”
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  2. 22

    A method of IoT terminal’s network behavior monitoring based on network data by Ying LING, Yun QIU

    Published 2017-12-01
    “…The internet of things (IoT) is the network of physical devices,vehicles,home appliances and other items embedded with electronics,software,sensors,actuators and network connectivity which enable these objects to connect and exchange data.Every sensor node is a source of information.In the offered method,telecom network operators could analyze the network data and discover the abnormal situation of the IoT terminals,so as to ensure the normal use of the IoT terminals.A network behavior tag for the IoT terminals by analyzing the network data in the telecom network,and a real-time monitoring method for the IoT terminal network behavior were described.And take the wearable industry application for example,the analysis process of the internet of things network behavior was described.…”
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    Monitoring Livestock Health by Modeling Rumination Behavior According to Accelerometer-Based Information by E. Vahedi Tekmehdash, H. Navid, H. Ghasemzadeh, H. Karimi, M. Javani Holan

    Published 2025-06-01
    “…Finally, the results of the current study were compared with other studies in the literature.ConclusionThis study investigated recording and monitoring rumination behavior using an accelerometer, which can help prevent financial losses in cattle farms. …”
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    The Impact of Parental Monitoring on Exposure to Multiple Substances and Bullying in Croatian Students by Maja Valentic, Luka Simetin, Dijana Mayer, Filip Simetin, Ivana Pavic

    Published 2024-10-01
    “…<b>Background/Objectives:</b> Adolescence is a critical period for experimenting with a wide range of risky behaviors, which are often influenced by family dynamics, including parental monitoring. …”
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  8. 28

    Effects of heat stress on the accuracy of an ear-tag accelerometer for monitoring rumination and eating behavior in dairy-beef cross cattle using an automated gold standard by Jennifer R. Weinert-Nelson, Jessica Werner, Alayna A. Jacobs, Les Anderson, Carey A. Williams, Brittany E. Davis

    Published 2025-01-01
    “…ABSTRACT: Accelerometer-based technologies can be used for precision monitoring of feeding behaviors, but limited information is available regarding the effect of varying environmental conditions on sensor performance. …”
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    Similarity analysis of dam behavior characterized by multi-monitoring points based on Cloud model by Hanman Li, Ziyang Li, Fuheng Ma, Chengdong Liu

    Published 2020-05-01
    “…The availability of massive amount of dam safety monitoring data can make it difficult to analyze and characterize dam behavior. …”
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  11. 31

    Impact of occupancy behavior on building energy efficiency: What’s next in detection and monitoring technologies? by Wenjie Song, John Calautit

    Published 2025-07-01
    “…Buildings account for a substantial portion of global energy consumption, and research indicates that occupant behavior can significantly influence energy use and building performance. …”
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  12. 32

    Methodological Approach to the Organization of Monitoring of Cash Flow Volatility by A. V. Larionov

    Published 2021-07-01
    “…The purpose of the study is to develop a methodological approach to organizing the monitoring of cash flow volatility. Statistical methods, including fractal analysis, are used in the study. …”
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    Article
  13. 33

    Surveillance as a Socio-Technical System: Behavioral Impacts and Self-Regulation in Monitored Environments by Dana Volosevici, Gheorghe Dan Isbasoiu

    Published 2025-07-01
    “…Additionally, belief in the active monitoring of surveillance footage significantly amplifies behavioral vigilance. …”
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  14. 34

    Molecular spin sensor for in-situ monitoring of crystallization behavior and phase transition in aromatic materials by Linshan Liu, Chong Zhao, Yingjian Zhang, Zhuxia Zhang, Chunru Wang, Taishan Wang

    Published 2025-08-01
    “…Herein, we report a molecular spin sensor based on metallofullerene Y2@C79N for in-situ monitoring of crystallization behavior and phase transitions in aromatic materials with high precision. …”
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  15. 35

    Measuring the development of social-emotional competence using behavioral rating scales in the context of school-based social and emotional learning by Juyeon Lee, Valerie B. Shapiro, Jennifer L. Robitaille, Paul LeBuffe

    Published 2023-12-01
    “…To address these gaps, this study first tested the longitudinal measurement invariance of a widely-used teacher-completed behavioral rating scale, and then examined the average SEC growth trajectory of elementary school students under a three-year SEL practice initiative. …”
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  16. 36

    Computer Vision-Based Safety Monitoring of Mobile Scaffolding Integrating Depth Sensors by Muhammad Sibtain Abbas, Rahat Hussain, Syed Farhan Alam Zaidi, Doyeop Lee, Chansik Park

    Published 2025-06-01
    “…Mobile scaffolding is essential in construction but presents significant safety risks, particularly falls from height (FFH) due to improper use and insufficient monitoring. While prior research has identified hazards, it often lacks robust, actionable solutions, especially regarding the comprehensive analysis of worker behaviors and the spatial context. …”
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    A Pilot Study: Sleep and Activity Monitoring of Newborn Infants by GRU-Stack-Based Model Using Video Actigraphy and Pulse Rate Variability Features by Ádám Nagy, Zita Lilla Róka, Imre Jánoki, Máté Siket, Péter Földesy, Judit Varga, Miklós Szabó, Ákos Zarándy

    Published 2025-06-01
    “…However, we developed a system that automatizes the preceding evaluations in a non-contact way using deep learning algorithms. In this work, we provide a Gated Recurrent Unit (GRU)-stack-based solution that works on a dynamic feature set generated by computer vision methods from the cameras’ video feed and patient monitor to classify the activity phases of infants adapted from the NIDCAP (Newborn Individualized Developmental Care Program) scale. …”
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    Modeling and Simulation of Abnormal Behavior Detection Through History Trajectory Monitoring in Wireless Sensor Networks by Jung Sub Ahn, Tae Ho Cho

    Published 2022-01-01
    “…The main contribution of the present study is the recognition of abnormal correlations using behavior monitoring through the discrete event system specification model. …”
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