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  1. 4301

    Real-time and resource-efficient banana bunch detection and localization with YOLO-BRFB on edge devices by Shuo Wang, Shuo Wang, Shuo Wang, Lijiao Wei, Danran Zhang, Danran Zhang, Ling Chen, Ling Chen, Weihua Huang, Dongjie Du, Kangmin Lin, Zhenhui Zheng, Zhenhui Zheng, Zhenhui Zheng, Jieli Duan

    Published 2025-08-01
    “…Finally, the system is optimized for edge-device deployment, achieving real-time processing with minimal computational resources. Experimental results demonstrate that YOLO-BRFB achieves a precision of 0.957, recall of 0.922, mAP of 0.961, and F1-score of 0.939, surpassing YOLOv8 in both recall and mAP. …”
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  2. 4302
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  4. 4304

    USING SUPPORT VECTORS TO BUILD A RULE-BASED SYSTEM FOR DETECTING MALICIOUS PROCESSES IN AN ORGANISATION'S NETWORK TRAFFIC by Halyna Haidur, Sergii Gakhov, Dmytro Hamza

    Published 2024-12-01
    “…The application of this method on real CSE-CIC-IDS2018 network traffic data containing characteristics of malicious processes has shown acceptable accuracy, high clarity and computational efficiency in detecting malicious processes in network traffic. …”
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  5. 4305
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    The development and psychometric properties of the persian linguistic inquiry and word count (P-LIWC): Emotions and cognitive processes categories by Mohammad Ali Soltani, Peyman MamSharifi, Reza Salehi Chegeni, Ali Safari, Soudabeh Ershadi Manesh, Hamidreza Keshavarz, Majid Afshari, MohamadSajad Ghafouri, Mojtaba Mohammadi, Fateme Tavakoli

    Published 2024-07-01
    “…Specifically, with the help of algorithms and computational processes, it can analyze elements such as emotions, cognitions, attitudes, vocabulary, language style and social communication in texts, and the lack of a Persian version was one of the most important reasons for conducting this research. …”
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  7. 4307
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  9. 4309

    Determining the Relative Contributions of Runoff, Coastal, and Compound Processes to Flood Exposure Across the Carolinas During Hurricane Florence by Lauren E. Grimley, Antonia Sebastian, Tim Leijnse, Dirk Eilander, John Ratcliff, Rick Luettich

    Published 2025-03-01
    “…SFINCS shows skill in simulating runoff and coastal processes of TC flooding (peak error of 0.11 m with an RMSE of 0.92 m) at large scales with minimal computational requirements and limited calibration. …”
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  10. 4310
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  13. 4313

    A Review of Soil Constitutive Models for Simulating Dynamic Soil–Structure Interaction Processes Under Impact Loading by Tewodros Y. Yosef, Chen Fang, Ronald K. Faller, Seunghee Kim, Qusai A. Alomari, Mojtaba Atash Bahar, Gnyarienn Selva Kumar

    Published 2025-06-01
    “…The accurate modeling of dynamic soil–structure interaction processes under impact loading is critical for advancing the design of soil-embedded barrier systems. …”
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  14. 4314
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  18. 4318

    Enhanced Ferroelectricity of Hf‐Based Memcapacitors by Adopting Ti Insert‐Layer and C–V Measurement for Constructing Energy‐Efficient Reservoir Computing Network by Bo Chen, Yifang Wu, Yizhi Liu, Xiaopeng Li, Lu Tai, Pengpeng Sang, Jixuan Wu, Xuepeng Zhan, Jiezhi Chen

    Published 2025-04-01
    “…Abstract Hf‐based ferroelectric memcapacitors only consume dynamic power with the merits of reliable nonvolatile storage and Si‐process compatibility, which is an outstanding artificial synapse for constructing energy‐efficient neuromorphic computing networks. …”
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  19. 4319

    Panoramic Assessment Method of Substation Equipment Health Status Based on Multisource Monitoring and Deep Convolution Neural Network under Edge Computing Architecture by Zhu-xing Ma, Li-shuo Zhang, Hao Gu, Zi-zhong Xin, Zhe Kang, Zhao-lei Wang

    Published 2023-01-01
    “…In view of the low efficiency of the traditional manual evaluation method of substation equipment status under the background of complex environment, a panoramic evaluation method of substation equipment health status based on multisource monitoring and deep convolution neural network under edge computing architecture is proposed. Firstly, a panoramic sensing system for substation equipment is built based on edge computing, and an edge computing server is deployed in the substation to process the massive data obtained from multisource monitoring nearby. …”
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  20. 4320

    Automating sentinel-1 SLC product processing: Parallelization and optimization for efficient polarimetric parameter extraction by Hansanee Fernando, Kwabena Nketia, Thuan Ha, Sarah van Steenbergen, Heather McNairn, Steve Shirtliffe

    Published 2025-06-01
    “…These graphs are batch processed with R, using parallel computing to run multiple graphs simultaneously. …”
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