Results 101 to 110 of about 514,554 (290)
Wavelength dependence of coherent and incoherent satellite-based lidar measurements of wind velocity and aerosol backscatter [PDF]
, 1986 The results are presented of a capability study of Earth orbiting lidar systems, at various wavelengths from 1.06 to 10.6 microns, for the measurement of wind velocity and aerosol backscatter, and for the detection of clouds. Both coherent and incoherent
Huffaker, R. M., Kavaya, M. J.
core +1 more source
Cloud Detection of MODIS Multispectral Images
Journal of Atmospheric and Oceanic Technology, 2014 AbstractMethods coming from statistics and pattern recognition to estimate the cloud mask from radiance measured by visible and infrared sensors on board satellites are gaining greater consideration for their ability to properly exploit the increasing number of channels available with current and next-generation sensors. Endowed with physical arguments,
Loredana Murino +6 more
openaire +3 more sources
Advanced Healthcare Materials, EarlyView.This review highlights recent advances in smart face masks that actively monitor breathing. By integrating humidity, gas, temperature, pressure, strain, and triboelectric sensors, these masks track key respiratory parameters in real time. The article summarizes sensor mechanisms, compares performance across studies, and discusses challenges and future ...
Negin Faramarzi +7 more
wiley +1 more source
Respiratory Organ‐on‐a‐Chip for Disease Modeling: From Architecture to Functional Integration
Advanced Healthcare Materials, EarlyView.Respiratory organ‐on‐a‐chip (ROC) models capture key mechanical and cellular cues of the human respiratory system, enabling quantitative dissection of disease mechanisms. This review links ROC architectures to disease modeling, functional integration, and commercialization, and proposes a decision framework that aligns model complexity with mechanistic
Jinzhuo Hu +4 more
wiley +1 more source
Colour transformations and K-means segmentation for automatic cloud detection
Meteorologische Zeitschrift, 2015 The main aim of this work is to find simple criteria for automatic recognition of several meteorological phenomena using optical digital sensors (e.g., Wide-Field cameras, automatic DSLR cameras or robotic telescopes).
Martin Blazek, Petr Pata
doaj +1 more source
Advanced Materials, EarlyView.AI‐Assisted Workflow for (Scanning) Transmission Electron Microscopy: From Data Analysis Automation to Materials Knowledge Unveiling. Abstract (Scanning) transmission electron microscopy ((S)TEM) has significantly advanced materials science but faces challenges in correlating precise atomic structure information with the functional properties of ...
Marc Botifoll +19 more
wiley +1 more source
Journal of Cloud Computing: Advances, Systems and ApplicationsAnomaly detection in Wireless Sensor Networks (WSNs) is critical for their reliable and secure operation. Optimizing resource efficiency is crucial for reducing energy consumption.
S. Gayathri, D. Surendran
doaj +1 more source
Non‐Invasive Brain Targeted Delivery of Cannabidiol for Alleviating Neuroinflammatory Disease
Advanced Materials, EarlyView.The glucose‐functionalized nanoparticles (GNPs) are developed for the brain‐targeted delivery of cannabidiol (CBD). GNPs bypass the blood‐brain barrier (BBB) via glucose transporter‐1 (GLUT‐1) and release CBD in response to reactive oxygen species (ROS).
Yibin Wang +7 more
wiley +1 more source
Remote Sensing, 2016 Automatic cloud extraction from satellite imagery is a vital process for many applications in optical remote sensing since clouds can locally obscure the surface features and alter the reflectance.
Kai Tan, Yongjun Zhang, Xin Tong
doaj +1 more source
A Cloud Detection Method for Vertically Pointing Millimeter-Wavelength Cloud Radar. [PDF]
Sensors (Basel), 2023 Lin H, Wang J, Ge J.
europepmc +1 more source