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Fine-Scale Risk Mapping for Dengue Vector Using Spatial Downscaling in Intra-Urban Areas of Guangzhou, China
Published 2025-06-01“…We implemented three data resampling techniques (undersampling, oversampling, and hybrid sampling) to improve the model’s performance and evaluate it using the ROC-AUC, Recall, Specificity, and G-means metrics. …”
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1762
Co-design of a Mobile Stroke Unit pathway highlights uncertainties and trade-offs for viable system-wide implementation in the English and Welsh NHS
Published 2025-06-01“…Data collection took place in online workshops, across three rounds, with supplemental interviews conducted where required. …”
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PipaSet and TEAS: A Multimodal Dataset and Annotation Platform for Automatic Music Transcription and Expressive Analysis Dedicated to Chinese Traditional Plucked String Instrument...
Published 2022-01-01“…However, the annotated datasets for non-Eurogenic instruments remain scarce in terms of quantity and feature diversity, so that general evaluations and data-driven models on various tasks cannot be well explored. …”
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1765
Indian Hand Anthropometry: Computer Tomography-Based Morphometric Analysis of Metacarpal
Published 2024-08-01“…This study aimed to provide accurate anatomical data on metacarpals within an Indian population using CT scans and to compare the results with existing literature. …”
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Reddit comment analysis: sentiment prediction and topic modeling using VADER and BERTopic
Published 2024-12-01“… This work aims at exploring data analysis techniques applied to the social media platform Reddit, highlighting the execution of an Exploratory Data Analysis (EDA) to identify trends and patterns of interaction among users. …”
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1767
Democratic Oversight of Government Hacking by Intelligence Agencies
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Development and Optimization of a Construction Personal Protective Equipment (PPE) Detection Model on YOLOv8 Architecture
Published 2025-05-01“…This study improves the model by tuning hyperparameters for optimal training using grid search and applying data augmentation techniques to address dataset imbalance. …”
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1771
Using artificial intelligence for sustainable crop production – a comprehensive review with a focus on potato production
Published 2025-03-01“…AI technologies are becoming essential tools enhancing both efficiency and sustainability in farming practices. By utilizing big data analysis, precision monitoring, and automation, AI can significantly improve agricultural outcomes. …”
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1772
Investigating banks’ social media content and consumer reactions with machine learning
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1773
Assessing visibility at highway-rail grade crossings using light detection and ranging (LiDAR) technology
Published 2024-11-01“…Although previous studies have addressed behavioral and safety issues, the literature currently lacks quantitative data analysis of sightlines at HRGCs. This study aims to address this gap by utilizing remote sensing techniques to identify and quantify sightline visibility. …”
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1774
Codes between Poles: Linking Transcriptomic Insights into the Neurobiology of Bipolar Disorder
Published 2024-09-01“…The development of RNA sequencing techniques has provided newer and better approaches to studying disorders at the transcriptomic level. …”
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Bayesian approach in fatigue reliability characterization for stochastic-induced road load conditions
Published 2025-03-01“…Due to the limited loading history data and the challenges associated with capturing actual load-time history data from field testing, the induced stochastic technique has been introduced. …”
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Enhancing liver disease diagnosis with hybrid SMOTE-ENN balanced machine learning models—an empirical analysis of Indian patient liver disease datasets
Published 2025-05-01“…The Brier Score loss for ILPD dataset is 0.032 and 0.031 for the BUPA Liver Disorder Dataset.DiscussionThe research work highlights the potential of data balancing techniques and Ensemble models to improve predictive accuracy in liver disease diagnosis.…”
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An Advanced Deep Learning Model for Identifying Blue Horizontal-branch Stars from LAMOST DR10
Published 2025-01-01“…With massive spectral data provided by the Large Sky Area Multi-Object Fiber Spectroscopic Telescope (LAMOST), we aim to identify more potential BHB stars using machine learning methods. …”
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Optimal Instruments for Measurement of Dietary Intake, Physical Activity, and Sleep Among Adults in Population‐Based Studies: Report of a National Heart, Lung, and Blood Institute...
Published 2024-11-01“…Emphasis was placed on the need for data harmonization, including the adoption of standard terminology, reproducible metrics, and accessible raw data, to enhance the analysis through artificial intelligence and machine learning techniques. …”
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Assessing Public Interest in Mammography, Computed Tomography Lung Cancer Screening, and Computed Tomography Colonography Screening Examinations Using Internet Search Data: Cross-S...
Published 2025-03-01“… Abstract BackgroundThe noninvasive imaging examinations of mammography (MG), low-dose computed tomography (CT) for lung cancer screening (LCS), and CT colonography (CTC) play important roles in screening for the most common cancer types. Internet search data can be used to gauge public interest in screening techniques, assess common screening-related questions and concerns, and formulate public awareness strategies. …”
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Designing a supply chain resilience assessment model with the approach of NDEA(case of study: government hospitals of Yazd province)
Published 2025-03-01“…Hence, this research was carried out with the aim of designing a model for assessing the resilience of the supply chain of public hospitals in Yazd province with the approach of network data coverage analysis (NDEA). …”
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