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441
Rice-SVBDete: a detection algorithm for small vascular bundles in rice stem’s cross-sections
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442
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DECISION TREE WITH HILL CLIMBING ALGORITHM BASED SPECTRUM HOLE DETECTION IN COGNITIVE RADIO NETWORK
Published 2025-06-01“…The approach integrates a Decision Tree (DT) algorithm for rapid initial classification of Primary User (PU) activity, followed by a Hill Climbing (HC) optimization algorithm that fine-tunes the detection based on a fitness function. Entropy and throughput metrics are employed as decision conditions at each sensing channel, enhancing uncertainty measurement and maintaining detection robustness under low Signal-to-Noise Ratio (SNR) conditions. …”
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444
TCE-YOLOv5: Lightweight Automatic Driving Object Detection Algorithm Based on YOLOv5
Published 2025-05-01“…Finally, the EIOU loss function is introduced to measure the overlap between the predicted box and the real box more accurately and improve the detection accuracy. …”
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445
DSFA-SwinNet: A Multi-Scale Attention Fusion Network for Photovoltaic Areas Detection
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446
YOLOv8n-DDSW: an efficient fish target detection network for dense underwater scenes
Published 2025-04-01“…Therefore, the YOLOv8n-DDSW fish target detection algorithm was proposed in this article to resolve the detection difficulties resulting from fish occlusion, deformation and detail loss in complex intensive aquaculture scenarios. (1) The C2f-deformable convolutional network (DCN) module is proposed to take the place of the C2f module in the YOLOv8n backbone to raise the detection accuracy of irregular fish targets. (2) The dual-pooling squeeze-and-excitation (DPSE) attention mechanism is put forward and integrated into the YOLOv8n neck network to reinforce the features of the visible parts of the occluded fish target. (3) Small detection is introduced to make the network more capable of sensing small targets and improving recall. (4) Wise intersection over union (IOU) rather than the original loss function is used for improving the bounding box regression performance of the network. …”
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447
Computational Temporal Ghost Imaging Using Intensity-Only Detection Over a Single Optical Fiber
Published 2018-01-01“…We propose a method of computational temporal ghost imaging over a single optical fiber using simple optical intensity detection instead of coherent detection. The transfer function of a temporal ghost imaging system over a single optical fiber is derived, which is a function of the total fiber dispersion and the power density spectrum of the light source. …”
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448
Neural Posterior Estimation for Cataloging Astronomical Images with Spatially Varying Backgrounds and Point Spread Functions
Published 2025-01-01“…However, ground-based astronomical images exhibit spatially varying sky backgrounds and point spread functions (PSFs), and accounting for this variation is essential for constructing accurate catalogs of imaged light sources. …”
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Cost-Sensitive Radial Basis Function Neural Network Classifier for Software Defect Prediction
Published 2016-01-01“…Effective prediction of software modules, those that are prone to defects, will enable software developers to achieve efficient allocation of resources and to concentrate on quality assurance activities. …”
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Vulnerability detection using BERT based LLM model with transparency obligation practice towards trustworthy AI
Published 2024-12-01“…The result shows higher accuracy of 91.8 % for the vulnerability detection and model explainability outcome is highly influenced by “vulnerable”, “function”, ''mysql_tmpdir_list'', “strmov” tokens using both SHAP and LIME framework. …”
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453
Let ants find them: Using ants as eDNA samplers for detecting the invasive spotted lanternfly
Published 2025-04-01“…Compared to non-ant insects, ants exhibited higher SLF DNA concentrations, suggesting that honeydew ingestion serves as the primary eDNA source. These findings demonstrate that ants can function as efficient SLF eDNA samplers, providing a scalable and cost-effective alternative to existing SLF detection methods.…”
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454
Abstract 260: TCD Bubble test as a Screening tool for detection of Patent Foramen Ovale in Stroke
Published 2023-11-01“…Introduction Introduction & Objectives: Transcranial Doppler (TCD) ultrasound provides rapid, noninvasive, real‐time measures of cerebrovascular function. Patent Foramen Ovale (PFO) is fourfold more common in Young Stroke Patients <55 years of age, as opposed to age‐matched controls. …”
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Detection and classification of hypertensive retinopathy based on retinal image analysis using a deep learning approach
Published 2025-01-01“…Methods: This research utilizes secondary data, specifically a retinal image dataset from the open-source Messidor database. This database comprises 1200 retinal images, each measuring 1440 × 940 pixels. …”
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457
SOFTWARE COMPONENT DEVELOPMENT FOR PARALLEL GATEWAYS DETECTION AND QUALITY ASSESSMENT IN BPMN MODELS USING FUZZY LOGIC
Published 2025-07-01“…A set of 3729 BPMN models from the Camunda open source repository was used for experimental calculations. …”
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458
Arlclustering: an R package for community detection in social networks based on user interaction and association rule learning
Published 2025-07-01“…Abstract ARLClustering is an open-source R package for community detection in social networks. …”
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459
FCMI-YOLO: An efficient deep learning-based algorithm for real-time fire detection on edge devices.
Published 2025-01-01“…The rapid development of Internet of Things (IoT) technology and deep learning has propelled the deployment of vision-based fire detection algorithms on edge devices, significantly exacerbating the trade-off between accuracy and inference speed under hardware resource constraints. …”
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Executive Functions Assessment Based on Wireless EEG and 3D Gait Analysis During Dual-Task: A Feasibility Study
Published 2024-01-01“…Executive functions (EFs) are neurocognitive processes planning and regulating daily life actions. …”
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