Search Results - "semantic segmentation algorithm"
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Visual comfort impact assessment for walking spaces of urban historic district in China based on semantic segmentation algorithm
ISSN: 0195-9255Published: Elsevier Inc 01.07.2025Published in Environmental impact assessment review (01.07.2025)“…Urban historic districts (UHDs) are primarily walkable areas in built environments that preserve the traditional and local characteristics of a specific…”
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Research on wheat broken rate and impurity rate detection method based on DeepLab-EDA model and system construction
ISSN: 0168-1699Published: Elsevier B.V 01.11.2024Published in Computers and electronics in agriculture (01.11.2024)“…•Based on the principle of electromagnetic vibration, the wheat image acquisition device was designed and developed.•The DeepLab-EDA semantic segmentation…”
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A Laplacian Image-Guided Semantic Segmentation Framework for Disc Brake Vibration Displacement Measurement
ISSN: 0018-9456, 1557-9662Published: New York IEEE 2025Published in IEEE transactions on instrumentation and measurement (2025)“…Measuring the vibration displacement of disc brakes is essential since aberrant vibration has a direct impact on braking function and driving safety. In this…”
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Optimized auxiliary classifier Wasserstein generative adversarial network fostered skin cancer classification from dermoscopic images
ISSN: 2045-2322, 2045-2322Published: London Nature Publishing Group UK 06.11.2025Published in Scientific reports (06.11.2025)“…Skin cancer is a disease that affects people of all ages. Automated diagnosis of skin cancer reduces the rate of death by detecting the disease at primary…”
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Research on identification of nucleus-shaped anomaly regions in space electric field
ISSN: 2296-987X, 2296-987XPublished: Frontiers Media S.A 10.07.2024Published in Frontiers in astronomy and space sciences (10.07.2024)“…The presence of nucleus-shaped anomalous regions in the power spectrum image of the electric field VLF frequency band has been discovered in previous studies…”
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Detection Method and Application of Nuclear-Shaped Anomaly Areas in Spatial Electric Field Power Spectrum Images
ISSN: 2072-4292, 2072-4292Published: MDPI AG 01.02.2024Published in Remote sensing (Basel, Switzerland) (01.02.2024)“…It is found that there are some anomalous high-energy nuclear-shaped regions in the VLF frequency band of the space electric field. To detect and statistically…”
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Lightweight segmentation algorithm of feasible area and targets of unmanned surface cleaning vessels
ISSN: 0932-8092, 1432-1769Published: Berlin/Heidelberg Springer Berlin Heidelberg 01.07.2024Published in Machine vision and applications (01.07.2024)“…To achieve real-time segmentation with accurate delineation for feasible areas and target recognition in Unmanned Surface Cleaning Vessel (USCV) image…”
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Kans-Unet Model and Its Application in Image Patch-Shaped Detection
ISSN: 2169-3536, 2169-3536Published: Piscataway IEEE 2025Published in IEEE access (2025)“…This study proposes a new detection method Kans-Unet, which combines Kans and U-net architecture. Specifically, the method embeds a convolution module based on…”
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Semantic Segmentation Algorithm-Based Calculation of Cloud Shadow Trajectory and Cloud Speed
ISSN: 1996-1073, 1996-1073Published: Basel MDPI AG 01.12.2022Published in Energies (Basel) (01.12.2022)“…Cloud covering is an important factor affecting solar radiation and causes fluctuations in solar energy production. Therefore, real-time recognition and the…”
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Research on the Detection Model of Kernel Anomalies in Ionospheric Space Electric Fields
ISSN: 2073-4433, 2073-4433Published: Basel MDPI AG 01.02.2025Published in Atmosphere (01.02.2025)“…Research has found kernel anomaly regions in the power spectrum images of ionospheric electric fields in space, which are widely distributed. To effectively…”
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A review on deep learning techniques for cloud detection methodologies and challenges
ISSN: 1863-1703, 1863-1711Published: London Springer London 01.10.2021Published in Signal, image and video processing (01.10.2021)“…Cloud detection (CD) with deep learning (DL) algorithms has been greatly developed in the applications involving the predictions of extreme weather and…”
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