Download full-text PDF |
Source |
|---|
Publication Analysis
Top Keywords
Similar Publications
Flying uncharted skies: Unravelling the network of contributory factors to adverse Australian RPAS events with an aggregate AcciMap.
Appl Ergon
January 2025
Centre for Human Factors and Sociotechnical Systems, University of the Sunshine Coast, Australia; School of Health, University of the Sunshine Coast, Australia.
Remotely Piloted Aircraft Systems (RPAS) are a rapidly expanding technology that operates within the larger complex aviation system. As a result, protective frameworks and risk controls for supporting safe operation are still developing. Adverse events are occurring, yet it is unclear what systemic factors interact to create them.
View Article and Find Full Text PDFIntelligent classification of computer vulnerabilities and network security management system: Combining memristor neural network and improved TCNN model.
PLoS One
January 2025
School of Information and Communication Engineering, Beijing University of Information Science and Technology, Bei Jing City, China.
To enhance the intelligent classification of computer vulnerabilities and improve the efficiency and accuracy of network security management, this study delves into the application of a comprehensive classification system that integrates the Memristor Neural Network (MNN) and an improved Temporal Convolutional Neural Network (TCNN) in network security management. This system not only focuses on the precise classification of vulnerability data but also emphasizes its core role in strengthening the network security management framework. Firstly, the study designs and implements a neural network model based on memristors.
View Article and Find Full Text PDFCombining a Standardized Growth Class Assessment, UAV Sensor Data, GIS Processing, and Machine Learning Classification to Derive a Correlation with the Vigour and Canopy Volume of Grapevines.
Sensors (Basel)
January 2025
Department of Environmental Remote Sensing and Geoinformatics, Trier University, Universitätsring 15, 54296 Trier, Germany.
Assessing vines' vigour is essential for vineyard management and automatization of viticulture machines, including shaking adjustments of berry harvesters during grape harvest or leaf pruning applications. To address these problems, based on a standardized growth class assessment, labeled ground truth data of precisely located grapevines were predicted with specifically selected Machine Learning (ML) classifiers (Random Forest Classifier (RFC), Support Vector Machines (SVM)), utilizing multispectral UAV (Unmanned Aerial Vehicle) sensor data. The input features for ML model training comprise spectral, structural, and texture feature types generated from multispectral orthomosaics (spectral features), Digital Terrain and Surface Models (DTM/DSM- structural features), and Gray-Level Co-occurrence Matrix (GLCM) calculations (texture features).
View Article and Find Full Text PDFGlass/Polyester Laminates Modified with L-Arginine Phosphate-Effects on the Flammability and Smoke Emission.
Materials (Basel)
January 2025
Lukasiewicz Research Network-Institute of Aviation, 110/114 Krakowska Avenue, 02-256 Warsaw, Poland.
Flammability and smoke generation of glass-fiber-reinforced polyester laminates (GFRPs) modified with L-arginine phosphate (ArgPA) have been investigated. The composition, structure, and thermal degradation processes of ArgPA were assessed by the elemental, FTIR, and thermogravimetric analyses. Flammability and smoke emission of GFRPs varying by different amounts (5-15 wt.
View Article and Find Full Text PDFPrecise Crop Pest Detection Based on Co-Ordinate-Attention-Based Feature Pyramid Module.
Insects
January 2025
School of InterNet, the National Engineering Research Center for Agro-Ecological Big Data Analysis & Application, Anhui University, Hefei 230031, China.
Insect pests strongly affect crop growth and value globally. Fast and precise pest detection and counting are crucial measures in the management and mitigation of pest infestations. In this area, deep learning technologies have come to represent the method with the most potential.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!