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1841
G-RCenterNet: Reinforced CenterNet for Robotic Arm Grasp Detection
Published 2024-12-01“…Although existing methods have achieved some success, limitations remain in terms of detection accuracy, real-time performance, and generalization ability. …”
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1842
Multimodal fusion transformer network for multispectral pedestrian detection in low-light condition
Published 2025-05-01“…However, most existing fusion methods are based on convolutional neural network (CNN) feature fusion. …”
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1843
Detectability of the peripheral and axial manifestations of psoriatic arthritis in patients with psoriasis in dermatological practice
Published 2019-10-01“…The early diagnosis of PsA and the accurate assessment of all its symptoms are necessary for the timely choice of optimal therapy.Objective: to assess the detectability of clinical signs of PsA in patients with psoriasis in dermatological practice.Patients and methods. …”
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1844
Emerging technologies for the detection of rabies virus: challenges and hopes in the 21st century.
Published 2009-09-01“…These tests are rarely optimal and entirely dependent on the nature and quality of the sample supplied. …”
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1845
Developing a Drowsiness Detection System for Safe Driving Using YOLOv9
Published 2025-05-01“…Several drowsiness detection systems built using the eye aspect ratio (EAR), percentage of eyelid closure (PERCLOS), and convolutional neural network (CNN) methods still have limitations in terms of accuracy and response time. …”
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1846
Advanced Classifiers and Feature Reduction for Accurate Insomnia Detection Using Multimodal Dataset
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1847
Migration and commuting interactions fields: a new geography with community detection algorithm?
Published 2017-09-01“…The objective is to refresh the geography of Belgium using interactions between places by means of a community detection algorithm (Louvain Method) inspired by Complex theory and Data Sciences. …”
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1848
Density-Aware DETR With Dynamic Query for End-to-End Tiny Object Detection
Published 2025-01-01“…Extensive experiments on challenging tiny object detection benchmarks demonstrate the superior performance of D3Q compared to state-of-the-art methods. …”
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1849
Development and Validation of a Suite of E-Probes for Electronic Diagnostic Nucleic Acid Analysis (EDNA) for 20 Graft-Transmissible Pathogens of Citrus Using MiFi and Blind Ring Te...
Published 2025-06-01“…These e-probes were optimized using the MiFi bioinformatics platform for specificity, sensitivity, and detection limits through both in silico and in planta testing. …”
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1850
Multi-View Intrusion Detection Framework Using Deep Learning and Knowledge Graphs
Published 2025-05-01“…This approach establishes a scalable multimodal analysis framework for intelligent cybersecurity, advancing intrusion detection beyond traditional rule-based methods toward semantic understanding.…”
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1851
Rail Corrugation Detection of High-Speed Railway Using Wheel Dynamic Responses
Published 2019-01-01“…Finally, numerical simulation is carried out to verify the accuracy of the proposed estimation method. The simulation results show that the proposed detection algorithm can accurately identify rail corrugation, the estimation error of rail corrugation wavelength is less than 0.25%, and the classification accuracy of rail corrugation depth is more than 99%.…”
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1852
Multiple-Signal-Classification for Superior Target Detection in Subarray-MIMO Radar Systems
Published 2025-03-01“…One of the keys to ensuring optimal radar performance in various applications, from security to navigation, is a high target detection probability. …”
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1853
Performance Improvement of Ensemble Empirical Mode Decomposition for Roller Bearings Damage Detection
Published 2015-01-01“…Ensemble empirical mode decomposition (EEMD) is a noise assisted method widely used for roller bearing damage detection. …”
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1854
Online detection of phase resistance of switched reluctance motor by sinusoidal signal injection
Published 2025-03-01“…This paper aims to develop and validate a method for the online detection and identification of phase resistance in SRMs. …”
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1855
MDPruner: Meta-Learning Driven Dynamic Filter Pruning for Efficient Object Detection
Published 2024-01-01“…In this paper, we present a novel Meta-network-based Dynamic Pruner method (MDPruner) designed to attenuate the computational burden of object detection models, concurrently preserving their efficacy. …”
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1856
Internet of Things Security Detection Technology Based on Grey Association Decision Algorithm
Published 2021-01-01“…This paper analyzes the current real-time monitoring system based on grey-related IoT security sensors for the detection of risk factors in the production environment of the Internet of Things and proposes a design plan for the Internet of Things environment monitoring based on the grey-related Internet of Things security sensor network, and according to the reliability guarantee mechanism of the system, a three-dimensional uniform IoT node deployment method suitable for IoT security monitoring is proposed. …”
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1857
Real-Time Lightweight Morphological Detection for Chinese Mitten Crab Origin Tracing
Published 2025-07-01“…In conclusion, the proposed method achieves an optimal accuracy-speed-complexity trade-off, enabling robust real-time traceability for aquaculture systems.…”
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1858
Toward Automatic Detection of Pi2 Magnetic Pulsation Using Machine Learning
Published 2025-01-01“…The discontinuation of the conventional index previously employed to detect Pi2 pulsations has driven this study to propose an innovative detection method leveraging machine learning (ML). …”
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1859
Development of cell-based assay for detecting replication-competent adeno-associated virus by qPCR
Published 2025-09-01“…Here, we have developed a sensitive, cell-based assay for detection of rcAAV in AAV8 preparations. After transducing HEK293 cells over three rounds with AAV8 in the presence of helper adenovirus 5, we performed qPCR to detect the presence of rcAAV using the rep2 gene as a marker. …”
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1860
Efficient Detection of Microplastics on Edge Devices With Tailored Compiler for TinyML Applications
Published 2025-01-01“…This highlights the potential of our method for efficient and effective microplastic detection in environmental monitoring.…”
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