Results 141 to 150 of about 4,524 (216)

HarSoNet: a two-stage point cloud registration method integrating soft and hard matching. [PDF]

Sci Rep
Huang Q, Wang J, Han J, Kang S.
europepmc   +1 more source

Offshore Wind Power Plant Technology Catalogue - Components of wind power plants, AC collection systems and HVDC systems [PDF]

, 2017
Antonios Cutululis, Nicolaos, Das, Kaushik   +1 more
core  

TransMA: an explainable multi-modal deep learning model for predicting properties of ionizable lipid nanoparticles in mRNA delivery. [PDF]

Brief Bioinform
Wu K, Wang Z, Yang X, Chen Y, Mastrogiovanni F, Zhang J, Liu L.   +6 more
europepmc   +1 more source

Applications of Artificial Intelligence in Biotech Drug Discovery and Product Development. [PDF]

MedComm (2020)
Liu YT, Zhang LL, Jiang ZY, Tian XS, Li PL, Wu PH, Du WT, Yuan BY, Xie C, Bu GL, Zhong LY, Yang YL, Li T, Zeng MS, Sun C.   +14 more
europepmc   +1 more source

A study of ChatGPT in facilitating Heart Team decisions on severe aortic stenosis. [PDF]

EuroIntervention
Salihu A, Meier D, Noirclerc N, Skalidis I, Mauler-Wittwer S, Recordon F, Kirsch M, Roguelov C, Berger A, Sun X, Abbe E, Marcucci C, Rancati V, Rosner L, Scala E, Rotzinger DC, Humbert M, Muller O, Lu H, Fournier S.   +19 more
europepmc   +1 more source

The state of the art of condition monitoring : where do we go from here? [PDF]

, 2013
Catterson, Victoria, Johnstone, Carl, Lewin, P. L., Rowland, S.M., Steele-Davies, J., Walton, C.   +5 more
core  

Molecular Design with Artificial Intelligence: Progress and Perspectives for Small Molecules. [PDF]

Chem Rev
Sumita M, Ishida S, Yoshizoe K, Tamura R, Terayama K, Tsuda K.   +5 more
europepmc   +1 more source

AI-driven biomaterial design: an intelligent closed loop from reverse design to biological response. [PDF]

Front Cell Dev Biol
Liu M, Zhou Y, Mei X, Yu Z, Guan B, Xiao Y, Liu S, Wang H, Qin Y.   +8 more
europepmc   +1 more source

Design and test of a beam transformer as a chopper [PDF]

, 1999
Chou, W, Mori, Y, Muto, M, Shirakabe, Y, Takagi, A   +4 more
core  

KGLGANSynergy: knowledge graph-based local and global attention network for drug synergy prediction. [PDF]

J Transl Med
Yan C, Chu M, Zhang G, Fang C, Liu N, Luo H.   +5 more
europepmc   +1 more source