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Broad-line AGNs at 3.5 < z < 6: The Black Hole Mass Function and a Connection with Little Red Dots
Published 2025-01-01“…Finally, we compute the BLAGN UV luminosity function and find agreement with JWST-detected BLAGN samples from recent works, finding that BLAGN hosts constitute ≲10% of the total observed UV luminosity at all but the brightest luminosities.…”
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623
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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624
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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Automatic Road Extraction from Historical Maps Using Transformer-Based SegFormers
Published 2024-12-01Get full text
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627
Cucumber Leaf Segmentation Based on Bilayer Convolutional Network
Published 2024-11-01Get full text
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628
Dark Ship Detection via Optical and SAR Collaboration: An Improved Multi-Feature Association Method Between Remote Sensing Images and AIS Data
Published 2025-06-01“…This study provides an efficient technical tool for maritime safety regulation through multi-source data fusion and algorithm innovation.…”
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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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630
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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Evaluating the effects of urban development on the ecological carrying capacity of Isfahan city based on the system dynamics approach
Published 2023-09-01“…Understanding how arid ecosystems adapt to disturbances is critical for the sustainable management of such areas, given the global extent of this type of ecosystem and its fragility, both structurally and functionally. The purpose of this study is to assess the impacts of urban growth on the carrying capacity of Isfahan, which is located on Iran's central plateau. …”
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632
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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Enhanced selectivity of carbon quantum dots for metal ion detection through surface modification by heteroatom doping: A study on optical properties and theoretical approach
Published 2025-01-01“…The study also demonstrated that functionalization with sulfur could modulate emission frequencies, enhancing the detection capabilities for specific ions. …”
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634
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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635
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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