Results 51 to 60 of about 3,562,158 (309)
Saint Cloud Reporter [May 1970] [PDF]
Saint Cloud Reporter, May 1970https://repository.stcloudstate.edu/magazines/1125/thumbnail ...
St. Cloud State University
core
Fast Processing of Massive Hyperspectral Image Anomaly Detection Based on Cloud-Edge Collaboration
With the improvement of hyperspectral image resolution, existing anomaly detection algorithms find it challenging to quickly process large volumes of hyperspectral data while fully exploiting spectral information.
Yunchang Wang +5 more
doaj +1 more source
Environment Classification for Unmanned Aerial Vehicle Using Convolutional Neural Networks
Environment classification is one of the most critical tasks for Unmanned Aerial Vehicles (UAV). Since water accumulation may destabilize UAV, clouds must be detected and avoided. In a previous work presented by the authors, Superpixel Segmentation (SPS)
Carlos Villaseñor +5 more
doaj +1 more source
Cloud detection is one of important tasks in automatic ground‐based cloud observation systems with ground‐based cloud images. Most supervised methods need substantial annotated samples for model training, while the pixel‐level annotation costs a lot.
Liang Ye +4 more
doaj +1 more source
Enhancing Low‐Temperature Performance of Sodium‐Ion Batteries via Anion‐Solvent Interactions
DOL is introduced into electrolytes as a co‐solvent, increasing slat solubility, ion conductivity, and the de‐solvent process, and forming an anion‐rich solvent shell due to its high interaction with anion. With the above virtues, the batteries using this electrolyte exhibit excellent cycling stability at low temperatures. Abstract Sodium‐ion batteries
Cheng Zheng +7 more
wiley +1 more source
Saint Cloud Reporter [Autumn 1967] [PDF]
Saint Cloud Reporter, Autumn 1967https://repository.stcloudstate.edu/magazines/1118/thumbnail ...
St. Cloud State University
core
Cloud detection of satellite imagery is very important for quantitative remote sensing research and remote sensing applications. However, many satellite sensors do not have enough bands for a quick, accurate, and simple detection of clouds. Particularly,
Bo Zhong +5 more
doaj +1 more source
A Novel Machine Learning Algorithm for Cloud Detection Using AERI Measurement Data
Infrared hyperspectral remote sensing has been widely used in the field of meteorology. Many scientists have carried out research on inversion methods of meteorological elements such as thermodynamic profile, boundary layer height, cloud base height, etc.
Lei Liu +4 more
doaj +1 more source
Advances in Sustainable and Wearable Textile Based Soft Robotics
This Review examines advances in wearable textile‐based soft robotics, focusing on sustainable materials, integrated sensing, and scalable actuation. It discusses manufacturing and system integration across healthcare, assistive robotics, prosthetics, and human–machine interfaces, and highlights key challenges in circular design, including life‐cycle ...
Zahir Abbas +6 more
wiley +1 more source
Saint Cloud Reporter [Spring 1969] [PDF]
Saint Cloud Reporter, Spring 1969https://repository.stcloudstate.edu/magazines/1121/thumbnail ...
St. Cloud State University
core

