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A Novel ConvXGBoost Method for Detection and Identification of Cyberattacks on Grid-Connected Photovoltaic (PV) Inverter System
Published 2025-02-01“…Simulation results demonstrate the effectiveness of the proposed method for both the smart PV and PV fuel cell (PV-FC) systems. …”
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Quality Evaluation Methods for Cytopathological Cell Image
Published 2023-10-01“…The gray value of the dye channel is obtained , which is used to judge whether the staining of cells is standard. Then , the target detection model Yolov5s is used to detect squamous epithelial cells , cell clusters and dirt. …”
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Research on new energy power plant network traffic anomaly detection method based on EMD
Published 2025-01-01“…Methodology This research propose Network Quality Assessment (NQA) traffic management algorithms to prevent illegal access and data breaches, this involves strong security measures such as encryption, firewalls, and encrypted communication methods. To maximize the efficiency of solar energy systems and allow for prompt maintenance, our suggested framework provides a practical and dependable method for detecting anomalies in PV cells in real-time. …”
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H-Alpha anomalyzer: An anomaly detector for H-Alpha solar observations using a grid-based approach
Published 2025-05-01Get full text
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Range‐wide population size of the lesser prairie‐chicken: 2012 and 2013
Published 2014-09-01Get full text
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Identifying key drivers of heatwaves: A novel spatio-temporal framework for extreme event detection
Published 2025-09-01Get full text
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Massive Data Processing Method for Battery Energy Storage Power Stations Based on Rough Sets
Published 2022-02-01Get full text
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Automatic detection and extraction of key resources from tables in biomedical papers
Published 2025-03-01“…Abstract Background Tables are useful information artifacts that allow easy detection of missing data and have been deployed by several publishers to improve the amount of information present for key resources and reagents such as antibodies, cell lines, and other tools that constitute the inputs to a study. …”
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Advanced Hybrid Machine Learning Model for Accurate Detection of Cardiovascular Disease
Published 2025-03-01Get full text
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Construction and application of march tests for pattern sensitive memory faults detection
Published 2021-03-01Get full text
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Formal description model and conditions for detecting linked coupling faults of the memory devices
Published 2023-12-01Get full text
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Moving Object Localization Using Optical Flow for Pedestrian Detection from a Moving Vehicle
Published 2014-01-01“…This paper presents a pedestrian detection method from a moving vehicle using optical flows and histogram of oriented gradients (HOG). …”
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Attention Enhanced InceptionNeXt-Based Hybrid Deep Learning Model for Lung Cancer Detection
Published 2025-01-01“…To ensure robustness and generalizability, the model was trained and validated using two public datasets, Chest CT and IQ-OTH/NCCD, employing transfer learning and pre-processing techniques to improve detection accuracy. The proposed model achieved an impressive accuracy of 99.54% on the IQ-OTH/NCCD dataset and 98.41% on the Chest CT dataset, outperforming state-of-the-art CNN-based and ViT-based methods. …”
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Predictive analysis of clinical features for HPV status in oropharynx squamous cell carcinoma: A machine learning approach with explainability
Published 2025-01-01“…Finding reliable non-invasive detection methods of this prognostic entity is key to propose appropriate therapeutic decisions. …”
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Techno-Economic Viability of Fuel Cell Emulator Toward Sustainable Energy Systems: A Survey
Published 2025-01-01“…The paper discusses control strategies, designing fuel cell emulators, and implementation techniques, addressing FC degradation issues and covering fault detection while suggesting solutions. …”
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Clinically relevant orthotopic pancreatic cancer models for adoptive T cell transfer therapy
Published 2024-01-01Get full text
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