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421
Comparing Domain Expert and Machine Learning Data Enrichment of Building Registry
Published 2025-05-01“…Municipal decision-makers must define and quantitatively analyze full-renovation scenarios adapted to specific districts and buildings to achieve the European Union (EU) target of saving 60% to 90% of energy by renovating 75% of building stock. …”
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422
Infectious disease modeling of social contagion in networks.
Published 2010-11-01“…Model predictions quantitatively reproduce the actual historical time course for the prevalence of obesity. …”
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423
Validation of a semi-automated method to quantify lesion volume changes in multiple sclerosis on 2D proton-density-weighted scans based on image subtraction
Published 2024-03-01“…Background: The detection and quantification of changes in white matter lesions in the brain is important to monitor treatment effects in patients with multiple sclerosis (MS). Existing automatic tools predominantly require FLAIR images as input which are not always available, or only focus on new/enlarging activity. …”
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424
Investigating the Effect of Microcystins on the Transcriptomics of Hepatopancreas in Penaeus vannamei Using Reverse-Gavage
Published 2025-06-01“…The results of the transcriptome sequencing were validated using quantitative real-time PCR.MC-LR induced significant differential expression of 1 994 genes compared to the control group. …”
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425
Effects of liver-specific LCMT1 gene knockout on glycolipid metabolism, learning and memory in mice
Published 2025-02-01“…Reverse transcription-quantitative polymerase chain reaction (RT-qPCR) and western blotting were used to compare the expression levels of the LCMT1 gene and protein in the liver of the two groups of mice. …”
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426
Study on the influence mechanism and correlation model of rockfall parameters on indentation morphology
Published 2025-01-01“…In theory, the morphological analysis of these indentations can be used to quantitatively reconstruct key rockfall movement parameters. …”
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427
Interpreting regional characteristics of heritage houses based on 3D digital landscape and point cloud deep learning – Take Tibetan houses in the northeastern region of Aba prefect...
Published 2025-08-01“…The significant contribution of this framework is introducing (1) the self-developed MSBFI model to decode the quantitative discriminative logic of the PC-DL model in categorizing the regional characteristics of heritage house point clouds, and (2) how it combines the generated saliency point clouds and the semantic segmentation point clouds to automatically filter the feature elements of each sub-region and analyze the regional characteristics of heritage houses. …”
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428
TCP Performance Over Satellite-Based Hybrid FSO/RF Vehicular Networks: Modeling and Analysis
Published 2021-01-01“…The error-control solutions, including the Reed-Solomon (RS) code and Selective repeat automatic repeat request (SR-ARQ), are also employed. …”
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429
A Pipette for High-Resolution Sampling and Delivery of pL Bio-Samples
Published 2025-05-01“…Utilizing this innovative device, we have demonstrated the generation, transportation, and storage of pL droplets, as well as quantitatively detected <i>E. coli</i> samples across various concentrations. …”
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430
Precision in 3D: A Fast and Accurate Algorithm for Reproducible Motoneuron Structure and Protein Expression Analysis
Published 2025-07-01“…From these reconstructions, it measures 3D soma volume and efficiently quantitates net somatic protein expression and macro-cluster size. …”
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431
Skeletal Muscle Ultrasound Radiomics and Machine Learning for the Earlier Detection of Type 2 Diabetes Mellitus
Published 2025-04-01“…Background: Studies have demonstrated that a qualitatively and quantitatively assessed hyperechoic deltoid muscle on ultrasound (US) was accurate for the earlier detection of type 2 diabetes (T2D). …”
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432
The Correlation between Mean Aterial Pressure and Bleeding Volume with The National Institute of Health Stroke Scale (NIHSS) Score for Intracerebral Hemmorhage Patients
Published 2021-05-01“…The NIHSS is a systematic assessment tool that quantitatively measures stroke associated with neurologic deficits. …”
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433
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434
THE CORRELATION BETWEEN MEAN ATERIAL PRESSURE AND BLEEDING VOLUME WITH THE NATIONAL INSTITUTE OF HEALTH STROKE SCALE (NIHSS) SCORE FOR INTRACEREBRAL HEMORRHAGE PATIENTS
Published 2021-07-01“…The NIHSS is a systematic assessment tool that quantitatively measures stroke associated with neurologic deficits. …”
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435
On the influence of artificially distorted images in firearm detection performance using deep learning
Published 2024-10-01“…Detecting people carrying firearms in outdoor or indoor scenes usually identifies (or avoids) potentially dangerous situations. Nevertheless, the automatic detection of these weapons can be greatly affected by the scene conditions. …”
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436
STUDY OF GRAIN DRYING IN THE AUTOMATED GRAIN DRYING UNIT
Published 2018-09-01“…The process of grain drying is characterized by a large number of parameters, quantitatively and qualitatively characterizing the dryer operation. …”
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437
Automated pavement marking integrity assessment using a UAV platform – a test case of public parking
Published 2025-05-01“…Thus, cost reduction, quantitative analysis, and automatization have been the focus of research. …”
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438
Mobilizing Health Promotion Through Canada’s Student Mental Health Network: Concurrent, Mixed Methods Process Evaluation
Published 2025-02-01“…Quantitative data were automatically collected through Google Analytics via the website over the course of the first year of operations. …”
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439
Monitoring of transformation of settlement spatial network in the arid zone of Uzbekistan
Published 2024-06-01“…The results of the automatically calculated areas of each settlement were used to calculate their growth. …”
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440
WASPAS-Based Natural Language Processing Method for Handling Content Words Extraction and Ranking Issues: An Example of SDGs Corpus
Published 2025-03-01“…Traditional corpus-based methods and the term frequency-inverse document frequency (TF-IDF) method face limitations, including the inability to automatically eliminate function words, effectively extract the relevant parameters’ quantitative data, simultaneously consider frequency and range parameters to evaluate the terms’ overall importance, and sort content words at the corpus level. …”
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