Suggested Topics within your search.
Suggested Topics within your search.
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A fish counting model based on pyramid vision transformer with multi-scale feature enhancement
Published 2025-05-01“…This feature effectively addresses the problem of fish occlusion for improving the accuracy and reliability of the counting process. …”
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A robust and accurate feature matching method for multi-modal geographic images spatial registration
Published 2025-05-01“…For example, multi-temporal visible, visible-synthetic aperture radar, visible-near infrared, near infrared-short wave infrared, visible-MAP, etc. To address this problem, we propose a Robust and Accurate Feature Matching Method for Multi-modal Geographic Images Spatial Registration (RAMMR) to fully extract common key points between images, weaken the radiation difference between data, and finally accurately match more inliers to realize multi-modal image registration. …”
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Ensemble Network Graph-Based Classification for Botnet Detection Using Adaptive Weighting and Feature Extraction
Published 2025-01-01“…This research addresses these challenges by analyzing network flow using adaptive weighting and feature extraction. Network flows are represented in a graph with IP addresses as vertices and communication links between IP addresses as edges. …”
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Research on Bearing Fault Diagnosis Method for Varying Operating Conditions Based on Spatiotemporal Feature Fusion
Published 2025-06-01“…Then, a parallel processing mechanism of the Convolutional Neural Network (SECNN) based on the Squeeze-and-Excitation module and the Bidirectional Long Short-Term Memory network (BiLSTM) is employed to dynamically adjust weights, capturing high-dimensional spatiotemporal features. The cross-attention mechanism enables the interaction and fusion of spatial and temporal features, significantly enhancing the complementarity and coupling of the feature representations. …”
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Aerial Biological Target Classification Based on Time–Frequency Multi-Scale Feature Fusion Network
Published 2025-06-01“…However, accurately identifying insects and birds based on radar observations has remained an unsolved problem. To address this research gap, this paper proposed an intelligent classification method based on a novel multi-scale time–frequency deep feature fusion network (MSTFF-Net). …”
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Parkinson disease detection based on in-air dynamics feature extraction and selection using machine learning
Published 2025-07-01“…Consequently, these systems face challenges in achieving good performance accuracy, robustness, and sensitivity. To overcome this problem, we proposed an optimized PD detection methodology that incorporates newly developed dynamic kinematic features and machine learning (ML)—based techniques to capture movement dynamics during handwriting tasks. …”
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MACROSCOPICS AND MICROSCOPICS FEATURE OF WITAR RATS LIVER AFTER IMMERSION IN GRADUAL CONCENTRATION OF RANDU HONEY
Published 2021-07-01“…The best features showed in samples preserved in 30% Randu Honey solutions.…”
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Infective endocarditis: the specific features of its course, the criteria for diagnosis, differential diagnosis (part II)
Published 2008-09-01“…Basic approaches to differentiating IE from the diseases in which differentially diagnostic problems arise to the utmost are outlined.…”
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Features of a Legal Regime of a Museum and Archaeological Complex on Early History of Samara Creation
Published 2018-04-01“…The article describes features in the evolution of the planning structure and building of the historical part of Samara city under the influence of the system fortifications of the XVIIIc. by cartographic materials. …”
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Research on Digital Design and Tooth Shape Optimization of Non-circular Gears Based on Envelope Features
Published 2022-08-01Get full text
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Features of insulin therapy in combination of long-term type 1 diabetes mellitus and metabolic syndrome
Published 2024-11-01Get full text
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Land-cover classification with remote sensing images based on low-rank fusion of multimodal features
Published 2025-08-01“…This algorithm achieved 91.23% OA and 83.28% mIoU in remote sensing land feature classification tasks, effectively alleviating the problems of insufficient accuracy and insufficient utilization of multimodal information faced by traditional single modal remote sensing classification methods through feature low rank fusion technology, thereby significantly improving the performance of land feature classification.…”
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Proximal spinal muscular atrophy types I-IV: Specific features of molecular genetic diagnosis
Published 2015-02-01Get full text
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Empirical mechanism for the regional brand co-construction: a study of featured agriculture commodities in China
Published 2025-12-01“…In conclusion, we outlined pathways for the collaborative construction of regional brands for featured agricultural commodities and provided specific countermeasures and suggestions to address the identified problems.…”
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