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Adaptive building engineering component extraction model based on DSOD
Published 2025-06-01“…With the purpose to bring up the extraction efficiency and accuracy of building construction image component information, the dense block structure and loss function were proposed to optimize the deep supervised object detection algorithm, and an adaptive building construction component extraction model based on this algorithm was constructed. …”
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902
The Ion Formation and Quantitative Response of Isoprene, Monoterpenes and Terpenoids in Ion Mobility Spectrometry with Atmospheric-Pressure Chemical Ionization as a Function of Tem...
Published 2024-12-01“…In this study, we investigated the ion formation processes and the quantitative response of isoprene, monoterpenes and monoterpenoids as a function of the temperature of the spectrometer using a tritium ionization source. …”
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Executive Functions Assessment Based on Wireless EEG and 3D Gait Analysis During Dual-Task: A Feasibility Study
Published 2024-01-01“…Executive functions (EFs) are neurocognitive processes planning and regulating daily life actions. …”
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906
Respiratory Rate Estimation from Thermal Video Data Using Spatio-Temporal Deep Learning
Published 2024-10-01“…Thermal videos provide a privacy-preserving yet information-rich data source for remote health monitoring, especially for respiration rate (RR) estimation. …”
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907
Towards Mine 4.0: A Proposed Multi-Layered Architecture for Real-Time Surveillance and Anomaly Detection in an Open-Pit Phosphate Mine
Published 2024-09-01“…Given the global importance and limited availability of phosphate, optimizing the use of this critical resource and minimizing its wastage are of paramount importance. …”
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Automatic Road Extraction from Historical Maps Using Transformer-Based SegFormers
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909
Do capture and survey methods influence whether marked animals are representative of unmarked animals?
Published 2015-12-01“…The lone exception to this rule was for the cohort of radiocollared moose in Minnesota, which exhibited a slight decrease in detection probabilities over time. Differences in detection probabilities for marked and unmarked animals may not be a significant problem for sightability models, provided that the source of the variability can be captured by model covariates (e.g., heterogeneity is tied to an individual's propensity to be in heavy cover). …”
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Mid-Water Ocean Current Field Estimation Using Radial Basis Functions Based on Multibeam Bathymetric Survey Data for AUV Navigation
Published 2025-04-01“…This makes unknown ocean currents a significant error source that leads to substantial cumulative positioning errors. …”
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911
Microbial community structure and diversity of endophytic and rhizosphere of Cypripedium species in Changbai Mountains
Published 2024-01-01“…The diversity of rhizosphere fungi was higher than the diversity of endophytic fungi, C. shanxiense had the highest fungal community richness within four Cypripedium species and predicted that endophytic bacteria had reductive citrate cycle, 3-hydroxypropionate bicycle, and other functions. These endophytes comprise unique Cypripedium plants' microbial community structure in Changbai Mountain (China), providing a direction for further protecting wild Cypripedium resources. …”
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HGCS—A Multiplex Transmission Method for Wide-Area Unmanned Aerial Vehicle Cluster Inspection Data in Hybrid Networked Transmission Lines
Published 2024-01-01“…The HGCS algorithm in comparison to the existing algorithms uses the innovative hybrid approach, exploiting the strengths of different components to get an optimal balance between computational efficiency and resource utilization. These results show that HGCS is a robust choice to deal with fault detection in less time with a fair distribution of resources.…”
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914
Machine Learning Aided Resilient Spectrum Surveillance for Cognitive Tactical Wireless Networks: Design and Proof-of-Concept
Published 2025-01-01“…Due to the vast nature of interference signals in the frequency bands used by cognitive TWNs, it is non-trivial to acquire manually labeled data sets of all interference signals. Detecting the presence of an unknown and remote interference source in a frequency band from the transmitter end is also challenging, especially when the received interference power remains at or below the noise floor. …”
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The Prospects for Wind Energy Development in the Republic of Belarus
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Learning from the local: the variety and spatial pattern of vocal mimicry in songs of the invasive white-rumped shama in Taiwan
Published 2025-03-01“…Studying the model selection, especially in multiple heterospecific mimicry, is crucial for understanding the function of vocal mimicry. …”
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An Expected Value-Based Symmetric–Asymmetric Polygonal Fuzzy Z-MCDM Framework for Sustainable–Smart Supplier Evaluation
Published 2025-02-01“…The rapid adoption of these technologies has led to the emergence of smart SCM, which integrates modern technologies in sourcing, production, distribution, and sales. Supplier evaluation and selection (SES) in smart SCM is a strategic decision impacting the entire supply chain. …”
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Research on Automotive Radar Mutual Interference Mitigation Method based on V2X Communication Assistance
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Design and Development of a Public AI Referee Assistance System Based on Harmony OS Platform
Published 2025-03-01“…Its main function is to use computer vision technology to make correct and fair judgments on controversial decisions in badminton matches. …”
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