-
701
-
702
Multiradar Collaborative Task Scheduling Algorithm Based on Graph Neural Networks with Model Knowledge Embedding
Published 2025-04-01“…This method frames the radar task collaborative scheduling problem as a heterogeneous network graph, leveraging model knowledge to optimize the training process of the Graph Neural Network (GNN) algorithm. A key innovation of this algorithm is its capability to capture critical model knowledge using low-complexity calculations, which helps to further optimize the GNN model. …”
Get full text
Article -
703
DCE-YOLOv8: Lightweight and Accurate Object Detection for Drone Vision
Published 2024-01-01“…DCE-YOLOv8 is engineered to address the low detection rate of small objects in drone imagery. …”
Get full text
Article -
704
Machine vision-based detection of key traits in shiitake mushroom caps
Published 2025-02-01“…Finally,M3 group using GWO_SVM algorithm achieved optimal performance among six mainstream machine learning models tested with an R²value of 0.97 and RMSE only at 0.038 when comparing predicted values with true values. …”
Get full text
Article -
705
High-Throughput cDNA Screening Utilizing a Low Order Neural Network Filter
Published 1996-12-01“…The filter was applied to a library of 2123 anonymous cDNA sequences, which resulted in 61 detections. Evaluation of the detections with two other dissimilar computer prediction algorithms yielded strong transmembrane predictions for 15 of the detections, while 8 of the detections resulted in a definitive negative result. …”
Get full text
Article -
706
Infrared dim tiny-sized target detection based on feature fusion
Published 2025-02-01“…In certain instances, such as when the infrared target is situated at a considerable distance from the detector, the detected object exhibits diminutive dimensions with a concurrently low signal intensity, leading to a challenge in achieving precision in object detection. …”
Get full text
Article -
707
Optimized DINO model for accurate object detection of sesame seedlings and weeds
Published 2025-04-01“…However, in environments where the target and the surrounding morphology are highly similar, such as distinguishing sesame seedlings from weeds, the problem essentially becomes one of optimizing edge detection algorithms for similar targets. To address this issue in agricultural object detection, we developed a custom dataset containing 1,300 images of sesame seedlings and weeds. …”
Get full text
Article -
708
Hybridization of Cognitive Radar and Phased Array Radar Having Low Probability of Intercept Transmit Beamforming
Published 2014-01-01“…Hence, the PAR high gain scanned beam patterns, over the entire surveillance region, are spoiled to get the series of low gain basis patterns. For unaffected array detection performance, these basis patterns are linearly combined to synthesize the high gain beam pattern in the desired direction using the set of weight. …”
Get full text
Article -
709
DOPPLER SPECTRUM MATHEMATICAL MODEL OF SIGNAL SCATTERING FROM SEA SURFACE AT LOW GRAZING ANGLES
Published 2019-07-01“…The developed mathematical model is offered to use for the design of algorithm sea surface condition estimation and pollutant detection using the signal which received by radar.…”
Get full text
Article -
710
A Machine Learning-Based Risk Prediction Model During Pregnancy in Low-Resource Settings
Published 2024-11-01Get full text
Article -
711
A Distributed Low-Degree-of-Freedom Aerial Target Localization Method Based on Hybrid Measurements
Published 2025-05-01“…For real-time detection scenarios such as battlefield reconnaissance and surveillance, where high positioning accuracy is required and receiving station resources are limited, we propose an innovative distributed aerial target localization method with low degrees of freedom. …”
Get full text
Article -
712
A new Digital Harmony Search algorithm for optimizing Pump Scheduling in Water Distribution Networks
Published 2025-05-01“…Pumps in Water Distribution Networks (WDNs) adequately provide effective pressure where low elevation or high head losses are detected within the system. …”
Get full text
Article -
713
Improvements from incorporating machine learning algorithms into near real-time operational post-processing
Published 2025-08-01“…ST-Proc uses PhaseNet to find phase picks and the machine learning algorithm GaMMA to associate events. This pipeline is capable of correctly detecting events in 65–70% of triggers containing events with a low false event rate around 5%. …”
Get full text
Article -
714
Optimizing Bi-LSTM networks for improved lung cancer detection accuracy.
Published 2025-01-01“…We employed traditional hand-crafted features, such as Gray Level Co-occurrence Matrix (GLCM) features, in conjunction with traditional machine learning algorithms. To explore the potential of deep learning, we also optimized and implemented a Bidirectional Long Short-Term Memory (Bi-LSTM) network for lung cancer detection. …”
Get full text
Article -
715
RQPool: A Novel Multi-Branch Graph-Level Anomaly Detection
Published 2025-05-01“…Moreover, existing Graph Neural Network (GNN) algorithms focus primarily on spatial domain features while neglecting spectral properties. …”
Get full text
Article -
716
Lightweight network for insulator fault detection based on improved YOLOv5
Published 2024-12-01“…To address these issues, we introduce a novel one-stage network that enables real-time detection of insulator faults on mobile devices. We designed a new module that optimises the computational complexity of networks and fused the module with the attention mechanism SimAM to solve the problem of low efficiency in detecting flashover faults. …”
Get full text
Article -
717
Anomaly Detection in Network Traffic Using Advanced Machine Learning Techniques
Published 2025-01-01“…By comparing different algorithms, this research contributes to advancing the application of machine learning in network security, offering guidance on model selection and optimization for improved detection of cyber threats.…”
Get full text
Article -
718
Distribution of urinary neutrophil gelatinase-associated lipocalin and post-translationally modified fetuin-A in outpatients with acute kidney disease detected using a nationwide a...
Published 2025-07-01“…Conclusions: The high proportion of elevated uNGAL and its positive association with CKO risk provide biological evidence to support the AKIDS's data algorithm in detecting AKDOPT. Similarly, uPTM-FetA demonstrated comparable characteristics to uNGAL in reflecting kidney injury in the context of AKD.…”
Get full text
Article -
719
Scene Text Detection and Recognition Using Maximally Stable Extremal Region
Published 2024-12-01“…Traditional text detection and recognition methods may struggle with detecting and recognizing text in images with low resolution, complex backgrounds, and varying font sizes. …”
Get full text
Article -
720
Combining Higher-Order Statistics and Array Techniques to Pick Low-Energy P-Seismic Arrivals
Published 2025-01-01Get full text
Article