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581
A Method for Detecting Tomato Maturity Based on Deep Learning
Published 2024-11-01“…Therefore, in this study, an improved YOLOv8 algorithm is proposed to address the problem of tomato fruit ripeness detection in complex scenarios, which is difficult to carry out accurately. …”
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582
Baicalin-modified polyethylenimine for miR-34a efficient and safe delivery
Published 2023-11-01“…Additionally, BA-PEI possesses perfect degradability, which benefits the release of miR-34a from the complexes. In A549 cells, the expression level of the miR-34a gene was checked by Western blotting, which reflects the transfection efficiency of BA-PEI/miR-34a. …”
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583
A New Method for Camera Auto White Balance for Portrait
Published 2025-06-01“…Traditional AWB methods like gray-world or max-RGB often rely on statistical assumptions, which limit their accuracy under complex or extreme lighting. We propose SCR-AWB, a novel algorithm that leverages real skin reflectance data to estimate the scene illuminant’s SPD and CCT, enabling accurate skin tone reproduction. …”
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584
Network-based intrusion detection using deep learning technique
Published 2025-07-01“…Abstract A high growth rate in network traffic and the complexity of cyber threats have made it necessary to create more effective and flexible intrusion detection systems. …”
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585
D-YOLO: A Lightweight Model for Strawberry Health Detection
Published 2025-03-01“…In complex agricultural settings, accurately and rapidly identifying the growth and health conditions of strawberries remains a formidable challenge. …”
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586
An improved EAE-DETR model for defect detection of server motherboard
Published 2025-08-01“…On the PKU-Market-PCB dataset, the mAP50 reached 96.1%, and the mAP50:95 reached 65.1%.This model effectively facilitates high-precision and high-efficiency defect detection for server motherboards in complex industrial environments, thereby offering a robust solution for the intelligent manufacturing sector.…”
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587
Evaluating Lightweight Transformers With Local Explainability for Android Malware Detection
Published 2025-01-01“…Traditional deep learning-based Android malware detection, reliant on Convolutional Neural Networks (CNNs) and Recurrent Neural Networks (RNNs), struggles to capture long-range dependencies, which are critical for identifying complex malware patterns. …”
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588
Malicious Traffic Detection on Tofino Using Graph Attention Model
Published 2025-06-01“…With the surge of malicious traffic in networks, existing detection methods struggle to balance real-time performance and efficiency. …”
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589
Attribute grouping-based categorical outlier detection using causal coupling weight
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590
Enhanced YOLO and Scanning Portal System for Vehicle Component Detection
Published 2025-08-01“…In this paper, a novel online detection system is designed to enhance accuracy and operational efficiency in the outbound logistics of automotive components after production. …”
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591
CUSE-TD Algorithm for Precision Detection of Coherent and Uncorrelated Signals
Published 2025-01-01“…The usefulness of the CUSE-TD algorithm lies in its applicability CUSE -TD to real-world MIMO systems, particularly in complex environments such as radar, wireless communications, and surveillance systems, where accurate source detection is critical for operational effectiveness. …”
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592
Robust UAV Target Tracking Algorithm Based on Saliency Detection
Published 2025-04-01“…In response to this problem, this paper proposes a robust UAV target tracking algorithm based on saliency detection (SDBCF). Using saliency detection methods, the DCF tracker is optimized in three aspects to enhance the robustness of the tracker in complex scenes: feature fusion, filter-model construct, and scale-estimation methods improve. …”
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593
A Comprehensive Investigation of Fraud Detection Behavior in Federated Learning
Published 2025-01-01“…While ANN and CNN demonstrate strong capacity in identifying complex fraud patterns, their communication efficiency and overfitting challenges are significant. …”
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594
An advanced three stage lightweight model for underwater human detection
Published 2025-05-01“…Abstract This study presents StarEye, a lightweight deep learning model designed for underwater human body detection (UHBD) that addresses the challenges of complex underwater environments. …”
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595
Image Target Detection and Recognition Method Using Deep Learning
Published 2022-01-01“…Finally, the experimental results showed that the image target detection and recognition algorithm proposed in this paper can be better applied to image target detection and classification in complex environment and had higher detection efficiency and recognition accuracy than the existing models. …”
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596
Detection of Maize Pathogenic Fungal Spores Based on Deep Learning
Published 2025-08-01“…Traditional spore detection methods struggle to identify spore-level targets within complex backgrounds. …”
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597
Algorithm Improvement for Mobile Event Detection with Intelligent Tunnel Robots
Published 2024-10-01“…Mobile inspections conducted by intelligent tunnel robots are instrumental in broadening the inspection reach, economizing on inspection expenditures, and augmenting the operational efficiency of inspections. Despite differences from fixed surveillance, mobile-captured traffic videos have complex backgrounds and device conditions that interfere with accurate traffic event identification, warranting more research. …”
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598
Inner Ear Multiple Primary Cell Type Detection System
Published 2025-03-01“…Overall, IEP-CDS effectively improves the efficiency of IEP detection in developing cell therapy for inner ear organoids.…”
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599
YOLO-Dynamic: A Detection Algorithm for Spaceborne Dynamic Objects
Published 2024-11-01“…This paper presents YOLO-Dynamic, a novel detection algorithm aimed at addressing the limitations of existing models, particularly in complex environments and small-object detection. …”
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600
Circle Detection with Adaptive Parameterization: A Bottom-Up Approach
Published 2025-04-01“…Circle detection remains a critical yet challenging task in computer vision, particularly under complex imaging conditions where existing measurement methods face persistent challenges in parameter configuration and noise resilience. …”
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