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Suggested Topics within your search.
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Comparative analysis of object tracking algorithms
Published 2025-03-01“…Two algorithms were selected for comparative analysis, one of which is the currently known open source ByteTrack tracker, and the other is a simple tracker based on the use of the neural network, correlation comparison together with Kalman filter. …”
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Abnormal structural covariance network in major depressive disorder: Evidence from the REST-meta-MDD project
Published 2025-01-01“…Although extensive studies have examined gray matter volume (GMV) changes in MDD, inconsistencies persist in reported findings. In the current study, we employed source-based morphometry (SBM) and structural covariance network (SCN) analyses to a large multi-center sample from the REST-meta-MDD database, aiming to characterize robust results of structural abnormalities in MDD. …”
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Reconstructing the Silk Road Network: Insights from Spatiotemporal Patterning of UNESCO World Heritage Sites
Published 2024-08-01“…Building on the observation of gaps in current research, this study provides a comprehensive analysis of the spatial patterns of heritage sites along the Silk Road, focusing on how historical trade routes shaped what are now recognized as heritage sites. …”
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Grapevine red blotch virus (GRBV) in a historical germplasm collection in south-eastern Australia
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A hybrid learning network with progressive resizing and PCA for diagnosis of cervical cancer on WSI slides
Published 2025-04-01“…This paper implements a state-of-the-art Hybrid Learning Network that combines the Progressive Resizing approach and Principal Component Analysis (PCA) for enhanced cervical cancer diagnostics of whole slide images (WSI) slides. …”
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A Framework for RF-EMF Time Series Analysis Through Multi-Scale Time Averaging
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Dynamic Adaptive Parametric Social Network Analysis Using Reinforcement Learning: A Case Study in Topic-Aware Influence Maximization
Published 2025-01-01“…Current network analysis algorithms often rely on search methods or centrality measures but face challenges such as 1) The solution space is large, resulting in high computational complexity. 2) Algorithms may be instance-dependent, relying considerably on network structure and characteristics, which may result in varying performance across different networks. 3) Most existing centrality measures are inherently static, which fail to capture the dynamic nature inherent in network analysis problems. …”
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An analysis of McMurdo Dry Valleys’ lotic habitats within Antarctica’s protected area network and addressing gaps in biodiversity protection
Published 2024-12-01“…This study employs spatial analysis of MDV protected areas, streams, lakes, research camps, and tourist sites to assess the robustness of current protections, identify underprotected areas, and outline steps for future protection. …”
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Analysis and Application Review of User Behavior Trajectory Based on the Location Information
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Enhanced Localization in Wireless Sensor Networks Using a Bat-Optimized Malicious Anchor Node Prediction Algorithm
Published 2024-12-01“…The integrity of these networks is often threatened by the presence of malicious nodes that can disrupt the localization process, leading to erroneous positioning and degraded network functionality. …”
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Enhancing transportation network intelligence through visual scene feature clustering analysis with 3D sensors and adaptive fuzzy control
Published 2024-12-01“…Finally, by designing a similarity matrix for the transportation network environment, we obtain the recognition results for the current environment and state. …”
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How could GenAI work on in-service teachers’ knowledge building process? An empirical study based on epistemic network analysis
Published 2025-08-01“…This study examines a large language model developed in China to investigate its impact on in-service teachers’ knowledge-building processes. Through analysis of frequency and epistemic network, this study demonstrates that GenAI significantly enhances in-service teachers’ information analysis and critical thinking. …”
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Analysis of thermal diffusion and diffusion thermo effects under the condition of pollutant concentration and bio-convection: An artificial neural network approach
Published 2025-05-01“…The current research explores the influence of bio-convection, thermophoresis and Brownian motion (TBM) on the Casson liquid flow across a stretchable surface subjected to porous media. …”
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