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2961
StomaYOLO: A Lightweight Maize Phenotypic Stomatal Cell Detector Based on Multi-Task Training
Published 2025-07-01“…Our model achieved a remarkable 91.8% mean average precision (mAP) and 98.5% precision, surpassing numerous mainstream detection models while maintaining computational efficiency. …”
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2962
HOF•CH<sub>3</sub>CN—The Most Potent Oxygen Transfer Agent for a Large Variety of Organic Molecules
Published 2025-03-01“…The complex of hypofluorous acid with acetonitrile—HOF•CH<sub>3</sub>CN—is the only substance possessing a truly electrophilic oxygen. …”
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2963
MMTraP: Multi-Sensor Multi-Agent Trajectory Prediction in BEV
Published 2025-01-01“…Accurate detection and trajectory prediction of moving vehicles are essential for motion planning in autonomous driving systems. …”
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2964
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2965
A Fish-Counting Method Using Fusion of Spatial Sensing and Temporal Information
Published 2024-12-01“…In modern aquaculture, accurate and efficient fish counting is crucial for the optimization of resource management and the enhancement of production profitability. …”
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2966
Comparison of a one-step real-time RT-PCR and a nested real-time RT-PCR for a genogroup II norovirus reveals differences in sensitivity depending upon assay design and visualizatio...
Published 2021-01-01“…These results illustrate the complexities in designing and interpreting molecular techniques having a sufficient detection limit to detect low levels of viruses that might be anticipated in contaminated food and environmental samples.…”
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2967
Study on the mechanisms associating community outdoor public spaces with elderly behavior
Published 2025-08-01“…In contrast, computer vision technologies offer an efficient alternative for gathering behavioral data. …”
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2968
Advancements in multi-omics research to address challenges in Alzheimer’s disease: a systems biology approach utilizing molecular biomarkers and innovative strategies
Published 2025-07-01“…Thus, research has shifted toward early detection and intervention for AD in recent years. …”
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2969
Multi-Vehicle Object Recognition Method Based on YOLOv7-W
Published 2025-01-01“…Meanwhile, the computational complexity in terms of GFLOPs (Giga Floating Point Operations) is reduced by 3.1%. …”
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2970
An Algorithm for the Shape-Based Distance of Microseismic Time Series Waveforms and Its Application in Clustering Mining Events
Published 2025-07-01“…These findings highlight that MDCAE-CSBD-Vol offers a novel, precise, and efficient solution for detecting anomalous events in microseismic systems, providing valuable support for accurate and high-efficiency monitoring in mining and related applications.…”
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2971
A Novel Approach to Pine Nut Classification: Combining Near-Infrared Spectroscopy and Image Shape Features with Soft Voting-Based Ensemble Learning
Published 2025-06-01“…This work provides a high-precision, low-complexity solution for rapid quality detection of pine nuts, with broad implications for agricultural product inspection and food safety.…”
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2972
Evaluation of the Ratio of Spot Tests and Plaque-Forming Activity Tests of Bacteriophages of Prevalent Pathogens
Published 2025-01-01“…In general, the observation of clear lysis spots on the spot test in most cases indicates bacteriophage replication, which allows us to consider the spot test method as indicative, but requiring subsequent validation by more complex methods characterizing the efficiency of phage replication.…”
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2973
Mixed hemimicelle dispersive solid-phase extraction of methamphetamine from urine by ionic liquid coated silica nanoparticles
Published 2025-05-01“…The method’s limit of detection (LOD) was calculated as 9 ng/mL. Analysis of addicted subjects for the proposed method proves that the method could be used in clinical and analytical laboratories to detect methamphetamine efficiently.…”
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2974
Citrus Disease Classification Model Based on Improved ConvNeXt
Published 2024-01-01“…Early diagnosis of citrus diseases directly affects the yield and quality of citrus cultivation, and a citrus disease classification model based on improved ConvNeXt is proposed to address the problems of high cost and low efficiency of traditional citrus disease detection methods. …”
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2975
The Optimal Acoustic Measurement Point Selection for UHV Reactors in Substations Based on Equivalent Impedance and Information Entropy Theory
Published 2025-01-01“…Finally, the model accurately reconstructed and simulated the near-field of the parallel reactor, and achieved quantitative evaluation of the optimal voiceprint detection position. The results indicate the high accuracy and reliability of the sound field reconstruction model, significantly improving computational efficiency, and the measurement point can fully characterize the acoustic properties of the reactor. …”
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2976
A Consistency-Aware Hybrid Static–Dynamic Multivariate Network for Forecasting Industrial Key Performance Indicators
Published 2025-06-01“…The accurate forecasting of key performance indicators (KPIs) is essential for enhancing the reliability and operational efficiency of engineering systems under increasingly complex security challenges. …”
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2977
PolyReg: Autoregressive Building Outline Regularization via Masked Attention Sequence Generation
Published 2025-05-01Get full text
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2978
Explainable Multi-Scale CAM Attention for Interpretable Cloud Segmentation in Astro-Meteorological Applications
Published 2025-08-01“…The proposed framework balances accuracy, interpretability, and computational efficiency, offering a trustworthy solution for cloud detection systems in operational settings.…”
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2979
A YOLOv8n-T and ByteTrack-Based Dual-Area Tracking and Counting Method for Cucumber Flowers
Published 2025-07-01“…Accurate counting of cucumber flowers using intelligent algorithms to monitor their sex ratio is essential for intelligent facility agriculture management. However, complex greenhouse environments impose higher demands on the precision and efficiency of counting algorithms. …”
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2980
Comprehensive Monitoring Method for Diaphragm Wall Deformation Combining Distributed and Point Monitoring in Key Areas
Published 2025-04-01“…The results demonstrated that the hybrid approach effectively captures the overall deformation distribution of the diaphragm wall while enabling real-time monitoring of key areas, including the detection of crack initiation and propagation. The proposed method offers a significant advancement in deformation monitoring, providing enhanced accuracy, spatial coverage, and the ability to detect both macro-scale trends and micro-scale anomalies, which is particularly beneficial for complex underground structures.…”
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