ARTÍCULO
TITULO

Deep Impact instrument calibration

Kenneth P. Klaasen    
Michael F. A'Hearn    
Michael Baca    
Alan Delamere    
Mark Desnoyer    
Tony Farnham    
Olivier Groussin    
Donald Hampton    
Sergei Ipatov    
Jianyang Li    
Carey Lisse    
Nickolaos Mastrodemos    
Stephanie McLaughlin    
Jessica Sunshine    
Peter Thomas e    

Resumen

No disponible

 Artículos similares

       
 
Margarida Mendonça and Álvaro Figueira    
As social media (SM) becomes increasingly prevalent, its impact on society is expected to grow accordingly. While SM has brought positive transformations, it has also amplified pre-existing issues such as misinformation, echo chambers, manipulation, and ... ver más
Revista: Informatics

 
Junling Zhang, Min Mei, Jun Wang, Guangpeng Shang, Xuefeng Hu, Jing Yan and Qian Fang    
The deformation of tunnel support structures during tunnel construction is influenced by geological factors, geometrical factors, support factors, and construction factors. Accurate prediction of tunnel support structure deformation is crucial for engine... ver más
Revista: Applied Sciences

 
Qing Ye, Yongpeng Ou, Guo Xiang and Junjie Chen    
Over the years, air lubrication technology has been widely applied to maritime vessels, demonstrating its significant energy-saving and emission-reducing effects. However, the application of this technology in inland waterway transportation faces unique ... ver más
Revista: Applied Sciences

 
Romy Müller, Marcel Dürschmidt, Julian Ullrich, Carsten Knoll, Sascha Weber and Steffen Seitz    
Deep neural networks are powerful image classifiers but do they attend to similar image areas as humans? While previous studies have investigated how this similarity is shaped by technological factors, little is known about the role of factors that affec... ver más
Revista: Applied Sciences

 
Woonghee Lee, Mingeon Ju, Yura Sim, Young Kul Jung, Tae Hyung Kim and Younghoon Kim    
Deep learning-based segmentation models have made a profound impact on medical procedures, with U-Net based computed tomography (CT) segmentation models exhibiting remarkable performance. Yet, even with these advances, these models are found to be vulner... ver más
Revista: Applied Sciences