Results 71 to 80 of about 3,562,158 (309)

Deep Learning-Based Cloud Detection for Optical Remote Sensing Images: A Survey

Remote Sensing
In optical remote sensing images, the presence of clouds affects the completeness of the ground observation and further affects the accuracy and efficiency of remote sensing applications.
Zhengxin Wang, Longlong Zhao, Jintao Meng, Yu Han, Xiaoli Li, Ruixia Jiang, Jinsong Chen, Hongzhong Li   +7 more
doaj   +1 more source

Automated Detection of Cloud and Cloud Shadow in Single-Date Landsat Imagery Using Neural Networks and Spatial Post-Processing

Remote Sensing, 2014
The use of Landsat data to answer ecological questions is greatly increased by the effective removal of cloud and cloud shadow from satellite images.
M. Joseph Hughes, Daniel J. Hayes
doaj   +1 more source

Decoupling Li+ Transport in Self‐Healing Polymer Dual‐Salt Electrolytes for Room Temperature Lithium Metal Batteries

Advanced Functional Materials, EarlyView.
A self‐healable polymer matrix, crosslinked via dynamic imine bonds, is synergistically coupled with a LiPF6–LiDFOB dual‐salt system to decouple Li+ from the polymer matrix, enabling fast Li+ transport. This strategy offers an effective pathway toward high‐performance, next‐generation gel‐polymer‐based Li‐metal batteries.
Soumallya Banerjee, Yu‐Te Chen, Chi‐Hsuan Lee, Atul Dhage, Zeeshan Alam Ansari, Chun‐Wei Pao, Shun‐Hsiang Chan, Shun‐Ming Huang, Chu‐Chen Chueh, Hong‐Cheu Lin, Chih Wei Chu   +10 more
wiley   +1 more source

Saint Cloud Reporter [April 1970] [PDF]

, 1970
Saint Cloud Reporter, April 1970https://repository.stcloudstate.edu/magazines/1124/thumbnail ...
St. Cloud State University
core  

NeuroVisio SyncPatch: A Skin‐Conformal Multimodal EMG–Motion Sensing Platform for Quantitative Neuromuscular Rehabilitation and Performance Monitoring

Advanced Healthcare Materials, EarlyView.
NeuroVisio SyncPatch integrates skin‐conformal electromyography (EMG) electrodes with camera‐tracked markers to jointly assess muscle activity and three‐dimensional knee kinematics during rehabilitation. Parallel feedback pathways provide real‐time kinematic guidance during movement and post‐trial neuromuscular feedback.
Bohyung Choi, Yoo‐Jin Jun, Heewon Choee, Kun‐Do Lee, Heesoo Kim, Yu Seok Hwang, Choong Yeon Kim, Seongok Chae, Juhyun Lee, Minkyu Je, Jae‐Woong Jeong, Hyung‐Soon Park   +11 more
wiley   +1 more source

Saint Cloud Reporter [June 1971] [PDF]

, 1971
Saint Cloud Reporter, June 1971https://repository.stcloudstate.edu/magazines/1127/thumbnail ...
St. Cloud State University
core  

Weakly Supervised Adversarial Training for Remote Sensing Image Cloud and Snow Detection

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Cloud and snow detection in remote sensing images has advanced significantly with the aid of deep learning methods. However, deep learning methods necessitate a large quantity of labeled data, which consumes a substantial amount of human and material ...
Jiajun Yang, Wenyuan Li, Keyan Chen, Zili Liu, Zhenwei Shi, Zhengxia Zou   +5 more
doaj   +1 more source

Correlated Charge Transport in an Organic Coulomb Glass

Advanced Materials, EarlyView.
ABSTRACT Advances in the development of organic field‐effect transistors (OFETs), electrically gated organic semiconductors (EGOFETs), and organic electrochemical transistors (OECTs) allow for the operation of these devices at very high charge‐carrier densities, where Coulomb interactions between carriers can be expected to become significant.
Magdalena Sophie Dörfler, Heinz Bässler, Harald Oberhofer, Anna Köhler   +3 more
wiley   +1 more source

Unbiased High-Precision Cloud Detection for Advanced Himawari Imager Using Automatic Machine Learning

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Clouds play a pivotal role in the global radiation budget and energy cycle, making accurate cloud detection via satellite remote sensing essential for understanding their evolutions.
Bochun Liu, Jinming Ge, Qingyu Mu, Chi Zhang, Xiaoyu Hu, Jiajing Du, Yanyan Wu, Bo Wang, Xiang Li, Jianping Huang, Qiang Fu   +10 more
doaj   +1 more source

Organic Materials of Tomorrow: Horizons of Artificial Intelligence

Advanced Materials, EarlyView.
This review examines machine learning techniques accelerating the discovery of organic semiconductors by linking molecular structure to properties. Key methods include graph neural networks, generative models, and active learning. Applications to organic photovoltaics demonstrate practical impact.
Harold Mena, J. Terence Blaskovits, Kun‐Han Lin, Denis Andrienko   +3 more
wiley   +1 more source