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Evaluation of Efficacy of Artificial Intelligence in Orthopantomogram in Detecting and Classifying Radiolucent Lesions
Published 2023-07-01“…Data augmentation was performed for the training and validation dataset. The evaluation of the performance of both CNN by new data consisting (60 OPG images) 30 benign and 30 malignant lesions. …”
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383
Ontology-based expansion of virtual gene panels to improve diagnostic efficiency for rare genetic diseases
Published 2025-02-01“…We also performed computational experiments on an evaluation dataset comprising 74 patients to determine the optimal VGP design method. …”
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384
Consumer negative opinions on stock returns: evidence from E-commerce reviews in China
Published 2025-02-01“…By analyzing a large dataset comprising over 18 million online consumer reviews on JD.com, we demonstrate that sentiments expressed in e-commerce reviews can influence stock returns. …”
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385
Robust identification method of website fingerprinting against disturbance
Published 2024-12-01“…Through extensive experimental analysis on the dataset provided by DF, the accuracy under RF Countermeasure is 95.4%, which is 21.2% higher than RF. …”
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386
Harmonization of the Long-term PM2.5 Carbon Data from the CSN Sites in New York State
Published 2023-08-01“…To address the above issue, field blanks are used to remove artifacts from samples, an outlier filter is applied to remove anomalies from the dataset, and a regression between retired samplers and the current sampler data is used to establish the harmonization between two co-located urban sites in this study. …”
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387
Accelerated Orthodontic Canine Retraction Using Minimally Invasive Orthocision
Published 2018-06-01Get full text
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388
Vehicle Detection and Tracking Based on Improved YOLOv8
Published 2025-01-01“…The experimental results show that the proposed model reduces parameters and weight by approximately 36.5% and 25% respectively at the expense of only 0.2% [email protected] compared with YOLOv8n on the UA-DETRAC dataset. In terms of tracking, MOTA, IDF1 and MOTP of the BoTSORT algorithm on the test video were superior to those of DeepSORT and ByteTrack. …”
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389
An association between average daily sleep duration and gallstones in US adults
Published 2025-02-01“…This study analyzes data from 7,441 individuals from the NHANES 2017–2020 dataset, using exclusion criteria to refine the participant pool. …”
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The Ineffectiveness of Manual Treatment of Swimming Pools
Published 2013-05-01Get full text
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392
Predicting appropriateness of antibiotic treatment among ICU patients with hospital-acquired infection
Published 2025-02-01“…To address missing values and dataset imbalances, novel computational methods were introduced. …”
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393
Shedding light on development: Leveraging the new nightlights data to measure economic progress.
Published 2025-01-01“…The emergence of newer and more precise Visible Infrared Imaging Radiometer Suite (VIIRS) data offers potential, yet challenges persist due to temporal and spatial disparities between the two datasets. Addressing this, we employ a novel harmonized NTL dataset (VIIRS + DMSP), which provides the longest and most consistent database available to date. …”
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394
Statistical and machine learning based platform-independent key genes identification for hepatocellular carcinoma.
Published 2025-01-01“…Existing studies used genetic datasets, taken from various platforms, but focused only on common differentially expressed genes (DEGs) across platforms. …”
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Human-like face pareidolia emerges in deep neural networks optimized for face and object recognition.
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Analysis of Wastewater Management Systems at Bhayangkara Hospital, Palu
Published 2021-02-01“…. , already has a Flow Meter device but does not have a fat catcher, especially in the nutrition room, liquid waste in the Laboratory room at the third party to PT. …”
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399
Introduction risk of fire ants through container cargo in ports: Data integration approach considering a logistic network.
Published 2025-01-01“…We observed that the proposed joint models improved the fit compared to conventional models estimated from a single dataset. This finding suggests that integrating data from multiple species or data types based on a network helps to address the lack of observations. …”
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400
Data Augmentation For Sorani Kurdish News Headline Classification Using Back-Translation And Deep Learning Model
Published 2023-06-01“…The approach involves generating synthetic training data by translating Kurdish headlines into a target language in this context English language and back-translating them to the Kurdish language, resulting in an augmented dataset. The proposed BiLSTM model is trained on the augmented data and compared with baseline models SVM (Support-Vector-Machines) and Naïve Bayes an trained on the original data. …”
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