Results 71 to 80 of about 2,824,115 (285)

DRONE SWARMS DETECTION

open access: yes, 2022
Security breaches that drone swarms may create in the air defense system must be determined in advance. In this study, a smart drone detection system for detecting drone swarms is proposed.
Kök, Öznur   +2 more
core  

A Practical Noise2Noise Denoising Pipeline for High‐Throughput Raman Spectroscopy

open access: yesAdvanced Engineering Materials, EarlyView.
A lightweight and reproducible denoising pipeline for high‐throughput Raman spectroscopy is introduced, based on a 1D convolutional autoencoder trained with a Noise2Noise strategy. Using only repeated short‐exposure acquisitions, the method suppresses stochastic noise without reference spectra, enabling reliable spectral reconstruction while preserving
David Martin‐Calle   +5 more
wiley   +1 more source

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

open access: yesIEEE 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   +2 more
doaj   +1 more source

New AI‐Assisted Approach for Expanding the Solution Space: Application to Lattice Structure Design

open access: yesAdvanced Engineering Materials, EarlyView.
This work introduces an innovative framework for designing structured materials by ex panding the design space through reparameterization of qualitative variables into continuous structural descriptors. Combined with machine‐learning‐based prediction and multi‐objective optimization, the approach enables the discovery of novel lattice architectures ...
G. H. Gahimbare   +5 more
wiley   +1 more source

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

open access: yesJournal 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   +2 more
doaj   +1 more source

Semantic Modeling in Materials Science and Engineering With Platform MaterialDigital Core Ontology 3.0

open access: yesAdvanced Engineering Materials, EarlyView.
The community‐driven Platform MaterialDigital Core Ontology (PMDco) 3.0 is introduced as a Basic Formal Ontology‐aligned semantic backbone for the processing–structure–properties paradigm in Materials Science and Engineering. Modular engineering, automated releases, and validation workflows are highlighted and key semantic patterns for materials ...
Markus Schilling   +15 more
wiley   +1 more source

Sustainable Drone Detection using Deep Learning Paradigms [PDF]

open access: yesE3S Web of Conferences
Drones are becoming more and more common, which has advantages but also concerns. They can be used to support illegal operations like drug trafficking and endanger places that are important to security.
Panduri Bharathi   +4 more
doaj   +1 more source

New Approach of UAV Movement Detection and Characterization Using Advanced Signal Processing Methods Based on UWB Sensing

open access: yesSensors, 2020
In the last years, the commercial drone/unmanned aerial vehicles market has grown due to their technological performances (provided by the multiple onboard available sensors), low price, and ease of use.
Angela Digulescu   +8 more
doaj   +1 more source

Distinct Microstructural Characteristic Lengths Defining Notch Fatigue Crack Initiation and Propagation, and Defect Tolerance in Advanced Steels

open access: yesAdvanced Engineering Materials, EarlyView.
Schematic representation of modes of microcrack nucleation, growth and temporary arrestment at different boundaries, with the criteria for crack propagation in three scenarios: (1) large notch, (2) defect/small sharp notch, and (3) long crack. This work revisits and integrates results on the fatigue behavior of advanced bainitic steels (in particular ...
Lucia Morales‐Rivas
wiley   +1 more source

The Efficacy of Drone-In-A-Box Technology for Marine Megafauna Surveillance off Coastal Beaches

open access: yesDrones
Drones are increasingly used in marine science for detecting and monitoring large megafauna in nearshore areas. Remotely operated, autonomous drone missions have the potential to improve the overall efficiency of drone-based research.
Kim I. Monteforte   +3 more
doaj   +1 more source

Home - About - Disclaimer - Privacy