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Detection of Greenhouse and Typical Rural Buildings with Efficient Weighted YOLOv8 in Hebei Province, China
Published 2025-05-01“…The large-scale detection of greenhouses and rural buildings is important for natural resource surveys and farmland protection. …”
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AC-YOLO: A lightweight ship detection model for SAR images based on YOLO11.
Published 2025-01-01“…However, existing SAR ship detection algorithms encounter two major challenges: limited detection accuracy and high computational cost, primarily due to the wide range of target scales, indistinct contour features, and complex background interference. …”
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Acoustic Emission as a Method for Analyzing Changes and Detecting Damage in Composite Materials During Loading
Published 2021-08-01“…The results obtained point to a conclusion that the acoustic emissions method can be successfully used to detect and locate composite material damages.…”
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The FAST Ursa Major Supergroup H i Survey (FUMaS): Catalog and H i Mass Function
Published 2025-01-01“…Among them, 55 H i sources were detected for the first time, of which 32 do not have known optical redshifts. …”
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Research progress on function and role of bacteriophage during food fermentation
Published 2024-02-01“…Phages originating from food ingredients or fermentation environments may lead to fermentation failure, but they also positively affect the microbial community succession in the system, the production of flavor substances, and the inhibition of spoilage bacteria. …”
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PFW-YOLO Lightweight Helmet Detection Algorithm
Published 2025-01-01“…However, due to the limited arithmetic and storage resources of edge-end devices, and the traditional detection algorithms have problems such as the number of parameters and large computational volume, the detection algorithms are difficult to be deployed practically. …”
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Design and analysis of intelligent service chain system for network security resource pool
Published 2022-08-01“…The traditional network security architecture ensures network security by directing traffic through hardware based network security function devices.Since the architecture consists of fixed hardware devices, it leads to a single form of network security area deployment and poor scalability.Besides, the architecture cannot be flexibly adjusted when facing network security events, making it difficult to meet the security needs of future networks.The intelligent service chain system for network security resource pool was based on software-defined network and network function virtualization technologies, which can effectively solve the above problems.Network security functions of virtual form were added based on network function virtualization technology, combined with the existing hardware network elements to build a network security resource pool.In addition, the switching equipment connected to the network security elements can be flexibly controlled based on software-defined network technology.Then a dynamically adjustable network security service chain was built.Network security events were detected based on security log detection and a expert library consisting of security rules.This enabled dynamic and intelligent regulation of the service chain by means of centralized control in the face of network security events.The deployment process of the service chain was mathematically modeled and a heuristic algorithm was designed to realize the optimal deployment of the service chain.By building a prototype system and conducting experiments, the results show that the designed system can detect security events in seconds and automatically adjust the security service chain in minutes when facing security events, and the designed heuristic algorithm can reduce the occupation of virtual resources by 65%.The proposed system is expected to be applied to the network security area at the exit of the campus and data center network, simplifying the operation and maintenance of this area and improving the deployment flexibility of this area.…”
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Carbon Dot Functionalized Papers for the Selective Detection of 2,4,6-Trinitrophenol in Aqueous Solutions
Published 2021-01-01“…Importantly, carbon dots functionalized papers (CDFPs) were prepared using the synthesized CDs and successfully applied to the determination of TNP in aqueous solutions, demonstrating the promising application of the method.…”
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Hybrid Deep Neural Network Optimization with Particle Swarm and Grey Wolf Algorithms for Sunburst Attack Detection
Published 2025-03-01“…The strength of DNNs is derived from their ability to model complex functions and to improve detection engines through deeper architecture. …”
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GloFinder: AI-empowered QuPath plugin for WSI-level glomerular detection, visualization, and curation
Published 2025-04-01“…Artificial intelligence (AI) has demonstrated significant success in automating the detection of glomeruli—key functional units of the kidney—from whole slide images (WSIs) in kidney pathology. …”
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Invertebrate community responses to biochar addition in NTFP-enriched Amazonian secondary forests
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Early detection to improve outcome in people with undiagnosed psoriatic arthritis: the PROMPT research programme including RCT
Published 2025-06-01“…Surveillance for undiagnosed psoriatic arthritis generally detects mild cases as measured by physical function. …”
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Multilingual Investigation of Cross-Project Code Clones in Open-Source Software for Internet of Things Systems
Published 2024-01-01“…We collected 122 IoT system repositories in nine languages from GitHub and grouped them according to their primary functionality in IoT systems. We used MSCCD, a multilingual code clone detector to detect Type-3 code clones for each group. …”
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Let ants find them: Using ants as eDNA samplers for detecting the invasive spotted lanternfly
Published 2025-04-01“…Compared to non-ant insects, ants exhibited higher SLF DNA concentrations, suggesting that honeydew ingestion serves as the primary eDNA source. These findings demonstrate that ants can function as efficient SLF eDNA samplers, providing a scalable and cost-effective alternative to existing SLF detection methods.…”
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Integrated Machine Learning and Region Growing Algorithms for Enhanced Concrete Crack Detection: A Novel Approach
Published 2024-10-01“…Firstly, the regression method learns the image features of the dataset and the specific region growth threshold, and the regression function is trained by using the open-source dataset to determine the region growth threshold using the characteristics of the images included in the tests. …”
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Detection and classification of hypertensive retinopathy based on retinal image analysis using a deep learning approach
Published 2025-01-01“…These gap factors make the research on hypertensive retinopathy urgent since it requires an early detection model to improve treatment accuracy and prevent heart attacks and strokes before they happen. …”
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