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461
DETECTIVE STORY: TO THE PROBLEM OF VARIABILITY OF THE MAIN EVENT AND CHARACTERS (BY THE CASE OF A. SARAKHOV’S STORIES)
Published 2019-06-01“…The functionality of stereotypes of perception and «memory of the genre» is briefly presented, which manifests itself in the history of understanding a domestic detective story as a constant appeal to the foreign sources of the genre. …”
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462
Employing SAE-GRU deep learning for scalable botnet detection in smart city infrastructure
Published 2025-04-01“…These findings enhance the understanding of IoT security by offering a scalable and resource-efficient solution for botnet detection. The functional investigation establishes a foundation for future research into adaptive security mechanisms that address emerging threats and highlights the practical potential of advanced deep learning techniques in safeguarding next-generation smart city ecosystems.…”
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463
Soil Moisture Time Series Using Gamma‐Ray Spectrometry Detection Representing a Scale of Tens‐of‐Meters
Published 2025-06-01Get full text
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464
GESC-YOLO: Improved Lightweight Printed Circuit Board Defect Detection Based Algorithm
Published 2025-05-01“…Simultaneously, the model size is reduced by 25.4%, the parameter count is cut down by 28.6%, and the computational resource consumption is reduced by 26.8%. This successfully achieves the harmonization of detection precision and model lightweighting.…”
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465
A lightweight algorithm for steel surface defect detection using improved YOLOv8
Published 2025-03-01“…Finally, the SIoU (Simplified IoU ) is used to replace the traditional CIoU loss function, which can make the anchor frame more fast and accurate in the regression process, to improve the stability and the robustness of detection. …”
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466
SurfaceVision: An Automated Module for Surface Fault Detection in 3D Printed Products
Published 2025-01-01“…The traditional method currently requires visual information processing devices or continuous monitoring of the process via a camera, which is very resource consuming and costly. Machine learning techniques being used for automatic detection of the faults suffer in real time conditions with inefficient fault detection due to the inability of adaptation to real time changes in the printing process. …”
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467
CMCD: A Consistency Model-Based Change Detection Method for Remote Sensing Images
Published 2025-01-01“…While denoising diffusion probabilistic models have shown preliminary success in this area, the quality of the generated change maps remains unsatisfactory. …”
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468
Design of Ultrasonic Flaw Detection Data Processing System Based on LabVIEW and FPGA
Published 2022-04-01“…LabVIEW FPGA is an embedded graphical development environment suitable for measurement and control field with high development efficiency, good code readability and rich library functions. Nevertheless,it mainly supports the FPGA board of national instrument company. …”
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469
Bio-Inspired Object Detection and Tracking in Aerial Images: Harnessing Northern Goshawk Optimization
Published 2024-01-01Get full text
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470
Quantifying the spatial impact of an invasive Acacia on ecosystem functioning using remote sensing
Published 2025-01-01Get full text
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471
Lightweight and Accurate YOLOv7-Based Ensembles With Knowledge Distillation for Urinary Sediment Detection
Published 2025-01-01“…Urine sediment analysis plays an important role in evaluating kidney function. In addition to improving detection accuracy, reducing model size is also a key challenge, especially when considering deployment on medical devices where computational resources are limited. …”
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472
Research on a UAV-View Object-Detection Method Based on YOLOv7-Tiny
Published 2024-12-01“…The algorithm’s performance in handling object occlusion and multi-scale detection is enhanced by introducing the VarifocalLoss loss function and improving the feature fusion network to BiFPN. …”
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473
Study on Point Spread Function of Perovskite Fast Neutron Scintillation Imaging Screen
Published 2025-02-01“…Additionally, the limited availability of experimental machines for fast neutron imaging and the high cost of imaging systems hinders the efficient detection of large number of materials by using common fast neutron sources. …”
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474
Specific detection of tartaric acid chiral isomers based on centrosymmetric terahertz metamaterial sensors
Published 2025-01-01“…Traditional detection methods, such as fluorescence detection, have problems such as destructive and non-specific characters. …”
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475
Improvement in cardiac structure and functions early after transcatheter closure of secundum atrial septal defect in children and adolescents
Published 2013-08-01“…In the study, a significant improvement in the right and left ventricular functions was detected after transcatheter closure of secundum ASD in the short-term follow-up. …”
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476
RSWD-YOLO: A Walnut Detection Method Based on UAV Remote Sensing Images
Published 2025-04-01“…Furthermore, to optimize the detection performance under hardware resource constraints, we apply knowledge distillation to RSWD-YOLO, thereby further improving the detection accuracy. …”
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477
The Relevance of Osteoscintigraphy Technique in Early Detection of Bone Metastatic Lesions: a Systematic Review
Published 2023-06-01“…OSG is an effective and informative technique for early detection of bone metastases, allowing to assess the functional state of the tumor and its surrounding tissues, even before the appearance of structural disorders visible by other diagnostic methods. …”
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478
Network security traffic detection and legal supervision based on adaptive metric learning algorithm
Published 2025-09-01Get full text
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479
App-DDoS detection method using partial binary tree based SVM algorithm
Published 2018-03-01“…As it ignored the detection of ramp-up and pulsing type of application layer DDoS (App-DDoS) attacks in existing flow-based App-DDoS detection methods,an effective detection method for multi-type App-DDoS was proposed.Firstly,in order to fast count the number of HTTP GET for users and further support the calculation of feature parameters applied in detection method,the indexes of source IP address in multiple time windows were constructed by the approach of Hash function.Then the feature parameters by combining SVM classifiers with the structure of partial binary tree were trained hierarchically,and the App-DDoS detection method was proposed with the idea of traversing binary tree and feedback learning to distinguish non-burst normal flow,burst normal flow and multi-type App-DDoS flows.The experimental results show that compared with the conventional SVM-based and naïve-Bayes-based detection methods,the proposed method has more excellent detection performance and can distinguish specific App-DDoS types through subdividing attack types and training detection model layer by layer.…”
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480
Automatic Detection and Identification of Underdense Meteors Based on YOLOv8n-BP Model
Published 2025-04-01“…Utilizing the Fresnel oscillation properties of meteor echoes, a BP network based on a Gaussian activation function is designed in this paper to enable it to detect meteor head and tail positions more accurately. …”
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