Výsledky vyhledávání - "encoder–decoder Transformer"

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  1. 1

    A System for Real-Time Detection of Abandoned Luggage Autor Vrsalovic, Ivan, Lerga, Jonatan, Ivasic-Kos, Marina

    ISSN: 1424-8220, 1424-8220
    Vydáno: Switzerland MDPI AG 02.05.2025
    Vydáno v Sensors (Basel, Switzerland) (02.05.2025)
    “…In this paper, we propose a system for the real-time automatic detection of abandoned luggage in an airport recorded by surveillance cameras. To do this, we…”
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    Journal Article
  2. 2

    Regional Weather Variable Predictions by Machine Learning With Near-Surface Observational and Atmospheric Numerical Data Autor Zhang, Yihe, Turney, Bryce, Sigdel, Purushottam, Yuan, Xu, Rappin, Eric, Lago, Adrian L., Kimball, Sytske, Chen, Li, Darby, Paul, Peng, Lu, Aygun, Sercan, Tu, Yazhou, Hassan Najafi, M., Tzeng, Nian-Feng

    ISSN: 0196-2892, 1558-0644
    Vydáno: New York IEEE 2025
    “…Accurate and timely regional weather prediction is vital for sectors dependent on weather-related decisions. Traditional prediction methods, based on…”
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    Journal Article
  3. 3

    Nemo: An Open-Source Transformer-Supercharged Benchmark for Fine-Grained Wildfire Smoke Detection Autor Yazdi, Amirhessam, Qin, Heyang, Jordan, Connor B., Yang, Lei, Yan, Feng

    ISSN: 2072-4292, 2072-4292
    Vydáno: Basel MDPI AG 01.08.2022
    Vydáno v Remote sensing (Basel, Switzerland) (01.08.2022)
    “…Deep-learning (DL)-based object detection algorithms can greatly benefit the community at large in fighting fires, advancing climate intelligence, and reducing…”
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    Journal Article
  4. 4

    Evaluation of Encoder-Only Transformer for Multi-Step Traffic Flow Prediction Autor Omar, Mas, Yakub, Fitri, Wijaya, Andika Aji, Mohammad, Ahmad Faiz, Maslan, Mohd Nazmin, Dhamanti, Inge, Zhongchao, Shi

    ISSN: 2169-3536, 2169-3536
    Vydáno: Piscataway IEEE 2025
    Vydáno v IEEE access (2025)
    “…Traffic flow prediction is critical for Intelligent Transportation Systems to alleviate congestion and optimize traffic management. The existing basic…”
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    Journal Article
  5. 5

    BEVSeg2GTA: Joint Vehicle Segmentation and Graph Neural Networks for Ego Vehicle Trajectory Prediction in Bird's-Eye-View Autor Sharma, Sushil, Das, Arindam, Sistu, Ganesh, Halton, Mark, Eising, Ciaran

    ISSN: 2169-3536, 2169-3536
    Vydáno: Piscataway IEEE 2024
    Vydáno v IEEE access (2024)
    “…Predicting the trajectory of the ego vehicle is a critical task for autonomous vehicles. Even though traffic regulations have defined boundaries, various…”
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    Journal Article
  6. 6

    MMTraP: Multi-Sensor Multi-Agent Trajectory Prediction in BEV Autor Sharma, Sushil, Das, Arindam, Sistu, Ganesh, Halton, Mark, Eising, Ciaran

    ISSN: 2644-1330, 2644-1330
    Vydáno: IEEE 2025
    “…Accurate detection and trajectory prediction of moving vehicles are essential for motion planning in autonomous driving systems. While traffic regulations…”
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    Journal Article
  7. 7

    An Adaptive Transformer Model for Long‐Term Time‐Series Forecasting of Temperature and Radiation in Photovoltaic Energy Generation Autor El-Saieed, Asmaa Mohamed

    ISSN: 1687-9724, 1687-9732
    Vydáno: New York John Wiley & Sons, Inc 01.01.2025
    “…Forecasting weather parameters, particularly temperature and solar radiation, plays a vital role in enhancing the efficiency of photovoltaic (PV) systems. This…”
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    Journal Article
  8. 8

    IndicBART for Translating Code-Mixed Kannada-English Sentences into Kannada: An Encoder-Decoder Transformer Approach Autor N, Shruthi, Sooda, Kavitha

    ISBN: 9798331522322
    Vydáno: IEEE 20.06.2025
    “…Translating Kannada-English code-mixed text continues to pose a major challenge in NLP owing to limited resource availability for Kannada, a lowresource…”
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  9. 9

    Bangla Image Caption Generation Using Vision Transformer (ViT) Based Model Autor Sarker, Arpita, Das, Udoy, Murad, Hasan

    Vydáno: IEEE 13.02.2025
    “…In the era of digital content and visual communication, Bangla image captioning has emerged as a crucial technology for enhancing accessibility, improving…”
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