Results 111 to 120 of about 2,218,529 (219)
Memristor‐Based Neuromorphic Computing for Intelligent Sensing and Edge Applications
Memristor‐based neuromorphic computing provides a promising foundation for energy‐efficient edge intelligence by integrating in‐memory computing, brain‐inspired neural networks, and in‐sensor processing. Memristive devices can emulate neurons and synapses, enabling compact crossbar architectures with reduced data movement, low power consumption, and ...
Hanrui Li, Nazek El‐Atab
wiley +1 more source
This study develops a dynamic surface‐enhanced Raman scattering (D‐SERS) platform integrating multiscale nanoparticle geometry, quantum dot coupling, surface‐energy programming, and a multilayer perceptron model for AI‐assisted classification. It enables ultrahigh sensitivity, noninvasive detection, and specific Helicobacter pylori identification.
Ming‐Chang Lu +4 more
wiley +1 more source
Description and Status of the North Alabama Lightning Mapping Array [PDF]
The North Alabama Lightning Mapping Array (LMA) is a network LMA detectors that detects and maps lightning using VHF radiation (TV Channel 5) in a region centered about Huntsville, Alabama that includes North Alabama, Central Tennessee and parts of ...
Buechler, Dennis E. +6 more
core
Due to the limited coverage of three-dimensional lightning detection networks, research on the total lightning characteristics of supercells that produce tornadoes and hail remains insufficient in China.
Wang Chenxi +5 more
doaj +1 more source
ABSTRACT A key component for wildfire risk management is predicting when and where fires might happen. We build short‐term (1–4 days ahead) fire occurrence prediction models by adapting the random forest algorithm using an errors in variables approach to account for the inherent forecasting error in short‐term forecasts of fuel moisture.
Zixuan Yang, Douglas G. Woolford
wiley +1 more source
High altitude leaders mapped by the Colombia lightning mapping array
On April 2015 a Lightning Mapping Array network (COL-LMA) was installed at the north of Colombia. This network provides 3D mapping of the development of lightning leaders. For the first time such network has been setup in the tropics.
Van der Velde, Oscar Arnoud +4 more
core
Observations of Evolving Lightning, Microphysics, and Kinematics for a Supercell, a Multicell, and a Mesoscale Convective System [PDF]
The Deep Convective Clouds and Chemistry (DC3) field experiment collected data on a variety of storms to investigate the relationships between lightning and other storm processes.
DiGangi, Elizabeth
core
ABSTRACT Laws play some role in explanations: at the very least, they somehow connect what is explained, or the explanandum, to what explains, or the explanans. Thus, thermodynamical laws connect the match's being struck and its lightning, so that the former causes the latter; and laws about set formation connect Socrates' existence with {Socrates}'s ...
Julio De Rizzo
wiley +1 more source
Basic lightning flash properties derived from lightning mapping array data
The size and duration of lightning flashes are examined. Data from the Ebro Valley Laboratory Lightning Mapping Array is used as reference. Additional data from the VLF/LF LINET network is included.
Van der Velde, Oscar Arnoud +7 more
core
Unexpected Morphology and Dynamics of Lightning Continuing‐Current Channel as Seen in UV
Abstract Using a high‐speed imaging system operating in UV (290–370 nm) range at the Lightning Observatory in Gainesville (LOG), Florida, we observed, for the first time, what appeared to be lightning channel fragmentation starting <1 ms after the return‐stroke onset.
Ziqin Ding +5 more
wiley +1 more source

