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1961
Magnetic nanoparticles and quantum dots coupled immuno nano fluorescence assay for visual detection of HPV16-induced cervical cancer cells from cytology/biopsy samples
Published 2024-12-01“…These antibodies were bioconjugated with nonfluorescent MNPs (60 % efficiency) and fluorescent QDs (66 % efficiency) to generate capturing (MNPs-anti-domainN antibody) and detecting (QDs-anti-domainC antibody) nano-complex, respectively. …”
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1962
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1963
Deep eutectic solvent-based magnetic molecular nanomaterials coupled with fluorescent carbon dots as a new strategy to highly enrich and sensitively detect doxycycline in food matr...
Published 2025-01-01“…This strategy of integrating CDs and DES–MMIP for DOX detection conforms to the green concept of environmental protection and provides a new material and research approach for efficient analysis of DOX in complex matrices.…”
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1964
A comparative study of machine learning algorithms for fall detection in technology-based healthcare system: Analyzing SVM, KNN, decision tree, random forest, LSTM, and CNN
Published 2025-01-01“…The implications of these findings that the selection of fall detection algorithms must consider system priorities, whether focused on high accuracy or processing efficiency. …”
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1965
Design and Implementation of an Intelligent Pest Status Monitoring System for Farmland
Published 2025-05-01“…For overlapping pest detection, EfficientNetv2-S replaces the YOLOv5s backbone and is combined with an Adaptive Feature Pyramid Network (AFPN), achieving 95.72% detection accuracy, 94.04% mAP, and 127 FPS. …”
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1966
Research on real-time monitoring method of mine personnel protective equipment with improved YOLOv8
Published 2025-06-01“…Coal mine underground environment is more complex, video surveillance is susceptible to noise, light and dust and other factors interference, resulting in the existing target detection methods for mine personnel protective equipment there are low detection accuracy, poor real-time, model complexity and so on, proposed an improvement of YOLOv8 real-time monitoring of mine personnel protective equipment method, known as DBE-YOLO. …”
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1967
Borehole Radar Experiment in a 7500 m Deep Well
Published 2025-05-01“…This breakthrough validates the operational stability and detection accuracy of borehole radar in complex subsurface environments, providing an innovative technological approach for ultra-deep hydrocarbon exploration.…”
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1968
Comprehensive empirical evaluation of feature extractors in computer vision
Published 2024-11-01“…Each feature extractor was assessed based on its architectural design and complexity, focusing on how these factors influence computational efficiency and robustness under various transformations. …”
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1969
Secure Biometric Identification Using Orca Predators Algorithm With Deep Learning: Retinal Iris Image Analysis
Published 2024-01-01“…Besides, the SBRIC-OPADL technique exploits the EfficientNet model for the extraction of feature vectors. …”
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1970
Multi-Stage Neural Network-Based Ensemble Learning Approach for Wheat Leaf Disease Classification
Published 2025-01-01“…Prompt and accurate classification of wheat leaf diseases and their severity is essential for precise diagnosis, effective pesticide application, efficient disease control, and enhanced wheat production and quality. …”
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1971
Automatic serving method of volleyball training robot based on improved YOLOv5 and improved Hough transform
Published 2025-08-01“…However, due to the characteristics of volleyball, such as small size, fast speed, and susceptibility to occlusion and noise interference in complex backgrounds, traditional object detection methods are hard to meet their real-time and accuracy requirements. …”
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1972
YOLOv9-LSBN: An Improved YOLOv9 Model for Cotton Pest and Disease
Published 2025-01-01“…Compared to YOLOv7, YOLOv8x, and lightweight models (e.g., YOLOv12), YOLOv9-LSBN demonstrates superior accuracy in complex backgrounds (96.3% vs. 94.6% mAP@0.5) with lower misjudgment rates, balancing real-time detection speed (28.3 ms/frame) and precision. …”
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1973
Effortless Student Attendance: A Smart Human-Computer Interactive System Using Real Time Facial Recognition
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1974
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1975
Application of Ultra Wideband Signal with High Repetition Rate in Forward Scatter Multi-Static Radar System
Published 2017-04-01“…The existing methods of ground target detection cannot simultaneously provide high efficiency in conditions of clutter and required resolution. …”
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1976
Secure edge-based smart grid communication using lightweight authentication modeling with autoencoders and real-world data
Published 2025-06-01“…Temporal sequencing and feature normalization are utilized to optimize the model to enhance detection accuracy while minimizing computational complexity. …”
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1977
The Validation of a Simple, Robust, Stability-Indicating RP-HPLC Method for the Simultaneous Detection of Lamivudine, Tenofovir Disoproxil Fumarate, and Dolutegravir Sodium in Bulk...
Published 2022-01-01“…For the purpose of a pharmaceutical formulation study, it became necessary to have a simple, yet robust and reproducible reversed-phase HPLC method for the simultaneous detection and quantification of lamivudine (3TC), tenofovir disoproxil fumarate (TDF), and dolutegravir sodium (DTG) in bulk form, complex polymeric matrices, and during drug release studies. …”
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1978
Optimizing UAV performance with IoT and fuzzy linear fractional transportation models
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1979
Recognition of Concrete Surface Cracks Based on Improved TransUNet
Published 2025-02-01“…Experiments show that the maximum error between the real values and detection results is about 5%. Therefore, the proposed method better meets the needs of crack detection in practical engineering applications and provides a solution for improving the efficiency of crack detection.…”
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1980
Sorting misorganized books in libraries based on ant colony algorithm
Published 2025-12-01“…The global optimization possessed by ant colony algorithm can also make the convergence value of the model close to the optimal value, thereby improving the overall operational efficiency of the model. At the same time, the two-dimensional maximum between-class variance method itself has a certain ability to resist noise interference. …”
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