Results 91 to 100 of about 1,581 (275)
Sensors, 2017 Specific emitter identification plays an important role in contemporary military affairs. However, most of the existing specific emitter identification methods haven’t taken into account the processing of uncertain information.
Wen Jiang +3 more
doaj +1 more source
Radar Emitter Recognition based on Transfer Learning
DEStech Transactions on Computer Science and Engineering, 2018 Radar emitter identification based on machine learning technology at present mostly assumes that the test set is identically distributed with and the training set, which causes the classification effect is not well when the database samples and the true distribution of the signals are biased. Thus, the theory of transfer learning is introduced into the
Weigang Zhu +3 more
openaire +2 more sources
Data‐Guided Photocatalysis: Supervised Machine Learning in Water Splitting and CO2 Conversion
Advanced Intelligent Discovery, EarlyView.This review highlights recent advances in supervised machine learning (ML) for photocatalysis, emphasizing methods to optimize photocatalyst properties and design materials for solar‐driven water splitting and CO2 reduction. Key applications, challenges, and future directions are discussed, offering a practical framework for integrating ML into the ...
Paul Rossener Regonia +1 more
wiley +1 more source
Interpreting How Neural Networks Infer Scatterer Geometry from Echolocation Echoes
Advanced Intelligent Systems, EarlyView.Neural networks enable echolocation‐based shape classification but remain difficult to interpret due to their black‐box nature. This work presents a feature‐importance metric to uncover the echo regions driving decisions in shape‐specialized networks.
Ganesh U. Patil +2 more
wiley +1 more source
Recent Advances in Stimulated Brillouin Scattering in Integrated Photonics
Advanced Physics Research, EarlyView.This review systematically surveys recent advances in stimulated Brillouin scattering (SBS) within integrated photonics. It begins by elucidating the fundamental mechanisms of stimulated coupling between photons and acoustic phonons in nanoscale waveguides, enhanced by the photoelastic and moving boundary effects.
Songyue Liu +8 more
wiley +1 more source
Leida xuebaoPassive localization methods based on synthetic aperture imaging offer high positioning accuracy. However, in scenarios involving multiple radar emitters transmitting Linear Frequency-Modulated (LFM) signals, distinguishing signals that are overlapped in
Shunsheng ZHANG, Zihan CAI, Yongxu LIU
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, 2015 The article presents some possibilities of same type radar copies identification with the use of graphical representation. The procedure described by the authors is based on transformation and analysis of basic parameters distribution which are measured ...
J. Dudczyk +3 more
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Archaeological Prospection, EarlyView.ABSTRACT Below the classical fortress of Samikon at the coast of the western Peloponnese, ancient writer Strabo mentioned a sanctuary of Poseidon which served as the centre of the religious association of the Triphylian cities. In this paper, we describe the discovery and investigation of a building structure by means of geophysical and ...
Dennis Wilken +10 more
wiley +1 more source
A Denoising Method Based on DDPM for Radar Emitter Signal Intra-Pulse Modulation Classification
Remote SensingAccurately classifying the intra-pulse modulations of radar emitter signals is important for radar systems and can provide necessary information for relevant military command strategy and decision making.
Shibo Yuan +4 more
doaj +1 more source
Machine learning techniques for frequency sharing in a cognitive radar
, 2018 A Cognitive Radar, working in a frequency dense environment, has to perform effective wideband operations, spanning several frequency channels, by working in parallel with other radar and/or communication systems.
Monsurro P. +3 more
core +1 more source