Results 51 to 60 of about 8,695 (248)

An Efficient Detection Framework for Aerial Imagery Based on Uniform Slicing Window

Remote Sensing, 2023
Drone object detection faces numerous challenges such as dense clusters with overlapping, scale diversity, and long-tail distributions. Utilizing tiling inference through uniform sliding window is an effective way of enlarging tiny objects and meanwhile ...
Xin Yang, Yong Song, Ya Zhou, Yizhao Liao, Jinqi Yang, Jinxiang Huang, Yiqian Huang, Yashuo Bai   +7 more
doaj   +1 more source

Symbolic Regression and Multi‐Objective Optimization of the Flory–Huggins Interaction Parameter for Hydrogels

Advanced Engineering Materials, EarlyView.
We develop a data‐driven method to derive the mathematical expressions of the Flory–Huggins interaction parameter χ for the swelling behavior of temperature–responsive hydrogels. Starting from initial assumptions of χ, our workflow combines Bayesian optimization, Flory–Rehner theory, and symbolic regression to generate candidate χ expressions.
Yawen Wang, Adrian Ehrenhofer, Thomas Wallmersperger   +2 more
wiley   +1 more source

A Scenario-Based Evaluation Framework for Drone Detection: Analysis Under Distance, Altitude, and Operational Conditions

IEEE Access
The rapid proliferation of unmanned aerial vehicles (UAVs) has increased the demand for reliable drone detection systems, particularly in safety-critical and security-sensitive environments.
Veton Rushiti, Edmond Jajaga, Alessandro Cantelli-Forti, Biljana Risteska Stojkoska   +3 more
doaj   +1 more source

Drone Component for Radio Frequency Detection

Interdisciplinary Description of Complex Systems : INDECS, 2022
Recovering people who have lost their way during a hike or disappeared during a disaster is a significant task for disaster management agencies. Nowadays, there are numerous technological devices at our disposal in such cases. Night-vision devices, thermal imagers, and drones are among such technologies.
Péter Miksa Hell, Péter János Varga
openaire   +2 more sources

Tailoring Functional Properties of Ti–Ni–Cu Shape Memory Alloy Thin Films for MEMS Actuators

Advanced Engineering Materials, EarlyView.
A comprehensive study of critical parameters required to develop well‐performing Ti–Ni–Cu thin film shape memory alloy microactuators is provided. Materials science and device integration aspects are integrated by addressing structural and physical relationships using complementary characterization techniques as well as a practical fabrication solution
Elaheh Akbarnejad, Aleksander Kostka, Gowtham Arivanandhan, Yujiao Li, Alan Savan, Manfred Kohl, Alfred Ludwig   +6 more
wiley   +1 more source

A Survey of Strategies, and Procedures for Detecting Drone Utilizing Sound, Radar, Thermal Infrared Sensor and Video Applications

JISR on Computing, 2021
With the exponential rise in the use of drones anywhere anytime, malicious use by outlaws is increasing as well. This calls for protective, detective, preventive measures to counter these attacks.
Hassan Dawsari
doaj   +1 more source

High‐Temperature Nanoindentation of Metals: Assessing Thermal Drift, Frame Compliance, and Chemical Composition Effects on the Reported Mechanical Properties

Advanced Engineering Materials, EarlyView.
Do not let thermal drift and instrument artifacts deceive high‐temperature nanoindentation results. We compare classical Oliver–Pharr and automatic image recognition analyses across steels and a Ni alloy to quantify these effects. Accounting for artifacts reveals systematic softening with temperature, while Cr and Ni additions boost resistance ...
Velislava Yonkova, Steffen Brinckmann, Ruth Schwaiger   +2 more
wiley   +1 more source

More Realistic Audio-Based Drone Detection and Identification Approaches With Machine Learning

IEEE Access
With advanced mobility and widespread accessibility, drones have attracted considerable attention, offering a wide range of applications in both military and civilian domains.
Shincheol Lee, Alimov Abdulboriy Abdulkhay Ugli, Ji Sun Shin   +2 more
doaj   +1 more source

Microstructure Reconstruction in Battery Electrodes Using Machine Learning Based on Low‐Voltage Focused Ion Beam–Scanning Electron Microscopy Tomography Images

Advanced Engineering Materials, EarlyView.
Low‐voltage FIB‐SEM tomography combined with a image preprocessing pipeline improves phase contrast and enables reliable machine‐learning segmentation of conductive networks in lithium‐ion battery electrodes. Structural descriptors are extracted from segmented images, done semimanually and automated, and compared.
Lisa Beran, Vincent Nebel, Dominik Perius, Kshitij Kumar, Yannis Heim, Laura Bies, Tobias Kraus   +6 more
wiley   +1 more source

A Real time Drone Detection System for Airspace Security in India using YOLOv8 and Deep Learning

Journal of Contemporary Politics
Unmanned Aerial Vehicles (UAVs), often referred to as drones, are creating growing difficulties in security‑critical zones, demanding dependable automated detection solutions.
K Thirupathi Reddy, Srujan Vannala, K Vishnuvardhan   +2 more
doaj   +1 more source