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Automatic detection of expressed emotion from Five-Minute Speech Samples: Challenges and opportunities.
Published 2024-01-01Get full text
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Rapid detection and quantification of Nile Red-stained microplastic particles in sediment samples
Published 2025-03-01“…Rapid and efficient processing of numerous samples is also needed to detect and determine MP contamination. …”
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Automatic training sample collection utilizing multi-source land cover products and time-series Sentinel-2 images
Published 2024-12-01Subjects: Get full text
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Automatic ovarian follicle detection using object detection models
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Automatic construction of global cloud sample database based on Landsat imagery
Published 2025-06-01“…In order to address problems of cloud samples required for cloud detection, such as reliance on manual interpretation, high collection costs, and limited quantity, this paper proposed a universal and automatic construction algorithm for cloud sample database (UAC-CSD) to create a large database of accurate and representative global cloud samples. …”
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A Method for Auto Generating a Remote Sensing Building Detection Sample Dataset Based on OpenStreetMap and Bing Maps
Published 2025-07-01“…The framework leverages geospatial vector data provided by OpenStreetMap, precisely aligns it with high-resolution satellite imagery from Bing Maps through projection transformation, and incorporates a quality-aware sample filtering strategy to automatically generate accurate annotations for building detection. …”
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Automatic Paddy Planthopper Detection and Counting Using Faster R-CNN
Published 2024-09-01Get full text
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Real-Time Computing Strategies for Automatic Detection of EEG Seizures in ICU
Published 2024-12-01Get full text
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Automatic detection method of software upgrade vulnerability based on network traffic analysis
Published 2020-02-01“…During the software upgrade process,the lack of authentication for upgrade information or packages can lead to remote code execution vulnerabilities based on man-in-the-middle attack.An automatic detection method for upgrading vulnerabilities was proposed.The method described the upgrade mechanism by extracting the network traffic during the upgrade process,then matched it with the vulnerability feature vector to anticipate upgrading vulnerabilities.In a validation environment,the man-in-the-middle attack using the portrait information was carried out to verify the detection results.In addition,an automatic vulnerability analysis and verification system based on this method was designed.184 Windows applications samples was test and 117 upgrade vulnerabilities were detected in these samples,which proved validity of the method.…”
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Automatic melanoma detection using an optimized five-stream convolutional neural network
Published 2025-07-01“…Its early and accurate diagnosis is crucial for effective treatment. However, automatic melanoma detection has several significant challenges. …”
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Automatic Edge Detection From Point Clouds Collected by Terrestrial Laser Scanners
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Automatic detection of foreign object intrusion along railway tracks based on MACENet.
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Automatic detection of floating instream large wood in videos using deep learning
Published 2025-02-01“…The approach uses a convolutional neural network to automatically detect wood. We sampled data to represent different wood transport conditions, combining 20 datasets to yield thousands of instream wood images. …”
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Machine Vision Based Monitoring of Breakage and Slack Faultfor High Speed Railway Dropper
Published 2021-01-01Subjects: Get full text
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A Pipette for High-Resolution Sampling and Delivery of pL Bio-Samples
Published 2025-05-01“…To overcome these limitations, we developed a pipette integrated with a microfluidic chip for bacteria sampling and delivery. This pipette can provide the negative pressure to microfluidic chips for sampling, the constant temperature unit for biological reaction, and programs for automatic control (suction, heating, liquid discharge, and cleaning) and display. …”
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Bochun: Automatically annotated stance detection dataset for Sorani Kurdish language(Mendeley Data).
Published 2025-08-01“…This Research presents the first-ever, high-quality, automatically annotated Kurdish stance detection dataset in the Sorani dialect to fill the gap of lacking annotated resources for Kurdish, a low-resource language in Natural Language Processing (NLP). …”
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