Results 41 to 50 of about 1,272 (178)
Neuromorphic hardware enables the integration of sensing, memory, and computing for intelligent artificial perception. Recent advances in multimodal fusion further highlight its potential for embodied intelligence and next‐generation human–machine interfaces.
Yixin Zhu +3 more
wiley +1 more source
Modeling of Airborne Bathymetric Lidar Waveforms [PDF]
ABSTRACT Kim, M.; Kopilevich, Y.; Feygels, V.; Park, J.Y., and Wozencraft, J., 2016. Modeling of airborne bathymetric lidar waveforms. In: Brock, J.C.; Gesch, D.B.; Parrish, C.E.; Rogers, J.N., and Wright, C.W. (eds.), Advances in Topobathymetric Mapping, Models, and Applications. Journal of Coastal Research, Special Issue, No. 76, pp. 18–30.
Minsu Kim +4 more
openaire +1 more source
Integrated Photonic Modulator Circuit With Programmable Intensity and Phase Modulation Response
A platform‐agnostic programmable modulation circuit is introduced to enable tunable and universal optimization of integrated photonic modulators. By flexibly controlling carrier amplitude and phase, the approach adapts to diverse device characteristics without structural redesign.
Hong Deng +3 more
wiley +1 more source
Integrating Image Segmentation and Deep Learning to Improve Radio Frequency Propagation Models
ABSTRACT This paper proposes a multi‐sensor approach to improve radio frequency (RF) propagation models, which play a key role in the rapidly expanding field of connected vehicle technology. Focusing on the 1‐ to 20‐GHz frequency range, which is critical for both satellite‐to‐vehicle and base station‐to‐vehicle communications, our study introduces a ...
Jonathan Israel +2 more
wiley +1 more source
Bio‐inspired computing offers a route to highly energy‐efficient artificial intelligence. The unique physical properties of two‐dimensional (2D) materials can further enhance such computing approaches. This perspective highlights recent developments in 2D materials‐based neuromorphic devices and discusses future opportunities for integrating such novel
Jin Feng Leong +9 more
wiley +1 more source
waveformlidar: An R Package for Waveform LiDAR Processing and Analysis
A wealth of Full Waveform (FW) LiDAR (Light Detection and Ranging) data are available to the public from different sources, which is poised to boost extensive applications of FW LiDAR data.
Tan Zhou, Sorin Popescu
doaj +1 more source
Functional traits explain responses of Appalachian birds to vertical and horizontal forest structure
The study of bird–forest relationships dates back decades, but rarely have the relationships of functional traits to 3D forest structure responses been considered for dozens of species at regional scales. Abstract Species interact with habitat based on their functional traits, but it is unclear how specific traits interact with the multiple components ...
Trevor Roberts +7 more
wiley +1 more source
Modulation of Typical Three-Dimensional Targets on the Echo Waveform Using Analytical Formula
Despite the wide applications of full-waveform light detection and ranging (FW-LiDAR) on target detection and recognizing, topographical mapping, and ecological management, etc., the mapping between the echo waveform and the properties of the targets ...
Yongxiang Wang +6 more
doaj +1 more source
EXPLORING WEAK AND OVERLAPPED RETURNS OF A LIDAR WAVEFORM WITH A WAVELET-BASED ECHO DETECTOR [PDF]
Full waveform data recording the reflected laser signal from ground objects have been provided by some commercial airborne LIDAR systems in the last few years.
C. K. Wang
doaj +1 more source
LAI estimation based on physical model combining airborne LiDAR waveform and Sentinel-2 imagery
Leaf area index (LAI) is an important biophysical parameter of vegetation and serves as a significant indicator for assessing forest ecosystems. Multi-source remote sensing data enables large-scale and dynamic surface observations, providing effective ...
Zixi Shi +12 more
doaj +1 more source

