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Evaluation of One-Class Techniques for Early Estrus Detection on Galician Intensive Dairy Cow Farm Based on Behavioral Data From Activity Collars
Published 2024-12-01“…Feature engineering techniques were applied to the data obtained by the collar, in order to add new variables and enhance the dataset. Some techniques achieved F1-Score values exceeding 95 % in certain cows. …”
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4342
Defend Against Property Inference Attack for Flight Operations Data Sharing in FedMeta Framework
Published 2025-01-01“…Comprehensive experiments using a real flight operation dataset demonstrate the effectiveness of our proposed method. …”
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4343
A clinical narrative corpus on nut allergy: annotation schema, guidelines and use case
Published 2025-01-01“…Abstract This article describes a dataset on nut allergy extracted from Spanish clinical records provided by the Hospital Universitario Fundación de Alcorcón (HUFA) in Madrid, Spain, in collaboration with its Allergology Unit and Information Systems and Technologies Department. …”
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4345
Differentiated Speed Planning for Connected and Automated Electric Vehicles at Signalized Intersections considering Dynamic Wireless Power Transfer
Published 2022-01-01“…., the Intelligent Driver Model (IDM), has been calibrated with the ground-truth dataset to meet the intersection characteristic for EVs in mixed traffic. …”
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4346
Crash/Near-Crash Analysis of Naturalistic Driving Data Using Association Rule Mining
Published 2022-01-01“…We used the Naturalistic Engagement in Secondary Tasks (NEST) dataset, which is massive and detailed and contains 50 million miles of naturalistic driving data resulting from the Strategic Highway Research Program 2 (SHRP2). …”
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4347
CNFA: ConvNeXt Fusion Attention Module for Age Recognition of the Tangerine Peel
Published 2024-01-01“…To analyze the features of tangerine peel in different ages and evaluate the performance of CNFA module, we conducted comparative experiments using the CNFA-integrated network on the Xinhui tangerine peel dataset. The proposed algorithm is compared with related models of the proposed structure and other attention mechanisms. …”
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4349
To describe the subsets of malignant epithelial cells in gastric cancer, their developmental trajectories and drug resistance characteristics
Published 2025-01-01“…This model demonstrated robust predictive power, achieving AUC values of 0.77, 0.77, and 0.76 for 1-, 3-, and 5-year overall survival in the TCGA training dataset, with validation across independent cohorts. …”
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4350
Comparative Analysis of RESTful, GraphQL, and gRPC APIs: Perfomance Insight from Load and Stress Testing
Published 2025-01-01“…The experiment utilizes a dedicated server and client hardware to simulate real-world conditions, with parameters such as CPU usage, memory usage, response time, load time, latency, success rate, and failure rate evaluated using a dataset comprising 1,000 rows of student-related records. …”
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Examining the Long-Run and Short-Run Effects of Technical and Financial Factors on Bitcoin Blockchain Network Transaction Fees
Published 2024-12-01“…The autoregressive distributed lag (ARDL) model was used for this analysis. The dataset spanned from April 10, 2018, to July 24, 2023. …”
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4354
Prevalence of Intestinal Protozoa among Saudi Patients with Chronic Renal Failure: A Case-Control Study
Published 2015-01-01Get full text
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4355
German Bowel Cancer Center: An Attempt to Improve Treatment Quality
Published 2015-01-01Get full text
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4356
GroupFound: An effective approach to detect suspicious accounts in online social networks
Published 2017-07-01“…We evaluate GroupFound on Sina Weibo dataset and find an appropriate threshold to identify suspicious accounts. …”
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4357
Deep learning-enhanced defects detection for printed circuit boards
Published 2025-03-01Get full text
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4359
A hybrid approach for intrusion detection in vehicular networks using feature selection and dimensionality reduction with optimized deep learning.
Published 2025-01-01“…The experimental results using CICIDS2017 dataset demonstrate that proposed hybrid model performs well not only in terms of classification performance but also yields trained models that have a low parameter count and model size. …”
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