Showing 81 - 100 results of 4,902 for search 'detection behavior', query time: 0.15s Refine Results
  1. 81

    Automatic Calculation of Average Power in Electroencephalography Signals for Enhanced Detection of Brain Activity and Behavioral Patterns by Nuphar Avital, Nataniel Shulkin, Dror Malka

    Published 2025-05-01
    “…By refining the analysis of EEG signals, the proposed method enhances the detection of specific neural behaviors and deepens the understanding of functional brain regions. …”
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    Article
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    Evaluation of Single-Shot Object Detection Models for Identifying Fanning Behavior in Honeybees at the Hive Entrance by Tomyslav Sledevič

    Published 2025-07-01
    “…Thermoregulatory fanning behavior in honeybees is a vital indicator of colony health and environmental response. …”
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    Article
  4. 84

    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
    “…This study introduces an FPA and FNA detection method using a spatiotemporal historical data-based knowledge base. …”
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    Article
  5. 85

    Research on Video Behavior Detection and Analysis Model for Sow Estrus Cycle Based on Deep Learning by Kaidong Lei, Bugao Li, Shan Zhong, Hua Yang, Hao Wang, Xiangfang Tang, Benhai Xiong

    Published 2025-04-01
    “…These findings provide key technical support for establishing the classification and semantic recognition of typical sow behaviors during the estrus cycle, while also offering a practical solution for rapid video-based behavior detection and welfare monitoring in precision livestock farming.…”
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    DUIncoder: Learning to Detect Driving Under the Influence Behaviors from Various Normal Driving Data by Haoran Zhou, Alexander Carballo, Masaki Yamaoka, Minori Yamataka, Keisuke Fujii, Kazuya Takeda

    Published 2025-03-01
    “…To address this issue, we propose DUIncoder, which is an unsupervised framework designed to learn exclusively from normal driving data across diverse scenarios to detect DUI behaviors and provide explanatory insights. …”
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    Mining behavior pattern of mobile malware with convolutional neural network by Xin ZHANG, Weizhong QIANG, Yueming WU, Deqing ZOU, Hai JIN

    Published 2020-12-01
    “…The features extracted by existing malicious Android application detection methods are redundant and too abstract to reflect the behavior patterns of malicious applications in high-level semantics.In order to solve this problem,an interpretable detection method was proposed.Suspicious system call combinations clustering by social network analysis was converted to a single channel image.Convolution neural network was applied to classify Android application.The model trained was used to find the most suspicious system call combinations by convolution layer gradient weight classification activation mapping algorithm,thus mining and understanding malicious application behavior.The experimental results show that the method can correctly discover the behavior patterns of malicious applications on the basis of efficient detection.…”
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    A Wide and Weighted Deep Ensemble Model for Behavioral Drifting Ransomware Attacks by Umara Urooj, Bander Ali Saleh Al-rimy, Mazen Gazzan, Anazida Zainal, Eslam Amer, Mohammed Almutairi, Stavros Shiaeles, Frederick Sheldon

    Published 2025-03-01
    “…To develop an early detection model for behavioral drifting ransomware attacks, a detection model should be able to detect evolving ransomware variants. …”
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    Detecting Misinformation: Identifying False News Spread by Political Leaders in the Global South by Valerie Wirtschafter, Frederico Batista Pereira, Natália Bueno, Nara Pavão, Jo˜ao Pedro Oliveira dos Santos, Felipe Nunes

    Published 2024-01-01
    “… We provide and examine an approach for detecting false stories that circulate as text and without hyperlinks, which are commonly found in the Global South. …”
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