|
|
|
|
|
Lakshmi Narayana Phaneendra Peri, Antonella Ingenito and Paolo Teofilatto
The goal of this paper is to investigate the aerodynamic and aerothermodynamic behavior of the Schiaparelli capsule after the deployment of a supersonic disk-gap-band (DGB) parachute during its re-entry phase into the Martian atmosphere. The novelty of t...
ver más
|
|
|
|
|
|
|
|
|
|
|
David G. Tork, Neil O. Anderson, Donald L. Wyse and Kevin J. Betts
Flaxseed has gained popularity as a health food. Wild, perennial Linum relatives of annual flax (L. usitatissimum) possess similar oil compositions, making them perennial oilseed (OS) alternatives. The objective of this study was to phenotype 25 OS and 1...
ver más
|
|
|
|
|
|
|
|
|
|
|
Hyung-Suh Kim, Kyung-Wook Nha and Jae-Hoo Lee
An arthroscopic capsular release (ACR) is used for persistent shoulder stiffness after an index surgery. No cases of post-ACR humeral head osteonecrosis have been reported to date. A 56-year-old male patient underwent open reduction and internal fixation...
ver más
|
|
|
|
|
|
|
|
|
|
|
Kun Xiang and Akihiro Fujii
Climate change (CC) has become a central global topic within the multiple branches of social disciplines. Natural Language Processing (NLP) plays a superior role since it has achieved marvelous accomplishments in various application scenarios. However, C...
ver más
|
|
|
|
|
|
|
|
|
|
|
Ruoyan Shi, Jianpeng Hu and Bo Lin
Automatic program repair techniques based on deep neural networks have attracted widespread attention from researchers due to the high degree of automation and generality. However, there is a scarcity of high-quality labeled datasets available for traini...
ver más
|
|
|
|
|
|
|
|
|
|
|
Maryam Omar, Hafeez Ur Rehman, Omar Bin Samin, Moutaz Alazab, Gianfranco Politano and Alfredo Benso
Text-to-image synthesis is one of the most critical and challenging problems of generative modeling. It is of substantial importance in the area of automatic learning, especially for image creation, modification, analysis and optimization. A number of wo...
ver más
|
|
|
|
|
|
|
|
|
|
|
János Hollósi, Áron Ballagi and Claudiu Radu Pozna
Classifying digital images using neural networks is one of the most fundamental tasks within the field of artificial intelligence. For a long time, convolutional neural networks have proven to be the most efficient solution for processing visual data, su...
ver más
|
|
|
|
|
|
|
|
|
|
|
Boxin Li, Boyang Liu, Dapeng Han and Zhaokui Wang
The safe landing and rapid recovery of the reentry capsules are very important to manned spacecraft missions. A variety of uncertain factors, such as flight control accuracy and wind speed, lead to a low orbit prediction accuracy and a large landing rang...
ver más
|
|
|
|
|
|
|
|
|
|
|
Jing Chen, Gang Zhou, Jicang Lu, Shiyu Wang and Shunhang Li
Fake news detection has become a significant topic based on the fast-spreading and detrimental effects of such news. Many methods based on deep neural networks learn clues from claim content and message propagation structure or temporal information, whic...
ver más
|
|
|
|
|
|
|
|
|
|
|
André Toschka, Henriette Möllmann, Dominik Hoppe, Georg Poehle, Lutz van Meenen, Maximilian Seidl, Nadia Karnatz and Majeed Rana
Molybdenum is an essential trace element, considered in recent work to be a promising 3D-printable biodegradable material for medical applications. Specifically, in our recent in vitro work, we were able to show that molybdenum is a material of high bioc...
ver más
|
|
|
|
|
|