Results 91 to 100 of about 482 (253)
Interpreting How Neural Networks Infer Scatterer Geometry from Echolocation Echoes
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
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
In modern electronic warfare, multi‐function radar work mode recognition is increasingly crucial. However, the challenges posed by complex electromagnetic environments, such as lost pulses, spurious pulses, and measurement errors, along with the reliance
Lihong Wang, Kai Xie
doaj +1 more source
Spectrum sensing for cognitive radio and radar systems [PDF]
The use of the radio frequency spectrum is increasing at a rapid rate. Reliable and efficient operation in a crowded radio spectrum requires innovative solutions and techniques.
Lundén, Jarmo
core
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
Abstract The development of renewable energy sources is important in order to achieve the United Nations Sustainable Development Goals (SDGs). Waste cooking oil (WCO) is a promising feedstock for biodiesel production through transesterification. Heterogeneous bifunctional catalysts offer a sustainable alternative to conventional homogeneous bases such ...
Frederick Jit Fook Phang +9 more
wiley +1 more source
Most existing specific emitter identification technologies rely on supervised learning, making them unsuitable for scenarios with label loss due to factors such as the acquisition environment (e.g., weather conditions, terrain, obstacles, and ...
Kangsheng LIU +5 more
doaj +1 more source
A novel radar signal recognition method based on a deep restricted Boltzmann machine
Radar signal recognition is of great importance in the field of electronic intelligence reconnaissance. To deal with the problem of parameter complexity and agility of multi-function radars in radar signal recognition, a new model called radar signal ...
Tian, Yuanrong +7 more
core
ABSTRACT Global net‐zero ambitions require transformative strategies to decarbonise carbon‐intensive global value chains (GVCs). This study examines how multinational enterprises (MNEs) in sunset industries integrate carbon capture technologies (CCT) with operational and supply chain dynamics (OSCD) to advance decarbonisation.
Muhammad Mustafa Kamal +6 more
wiley +1 more source
Automatic modulation recognition (AMR) of radar signals plays a pivotal role in intelligent spectrum management for modern electronic warfare systems.
Yuanhang Li +3 more
doaj +1 more source

