A Machine-Learning Based Microwave Sensing Approach to Food Contaminant Detection

Author(s):  
Luca Urbinati ◽  
Marco Ricci ◽  
Giovanna Turvani ◽  
Jorge A. Tobon Vasquez ◽  
Francesca Vipiana ◽  
...  
2006 ◽  
Vol 19 (5) ◽  
pp. S280-S283 ◽  
Author(s):  
Saburo Tanaka ◽  
H Fujita ◽  
Y Hatsukade ◽  
T Nagaishi ◽  
K Nishi ◽  
...  

2019 ◽  
pp. 309-340
Author(s):  
Heera Jayan ◽  
L. Bhavani Devi ◽  
C. Anandharamakrishnan

2019 ◽  
Vol 277 ◽  
pp. 54-62 ◽  
Author(s):  
Grégoire Delaporte ◽  
Mathieu Cladière ◽  
Delphine Jouan-Rimbaud Bouveresse ◽  
Valérie Camel

2020 ◽  
Vol 43 ◽  
Author(s):  
Myrthe Faber

Abstract Gilead et al. state that abstraction supports mental travel, and that mental travel critically relies on abstraction. I propose an important addition to this theoretical framework, namely that mental travel might also support abstraction. Specifically, I argue that spontaneous mental travel (mind wandering), much like data augmentation in machine learning, provides variability in mental content and context necessary for abstraction.


2020 ◽  
Author(s):  
Mohammed J. Zaki ◽  
Wagner Meira, Jr
Keyword(s):  

2020 ◽  
Author(s):  
Marc Peter Deisenroth ◽  
A. Aldo Faisal ◽  
Cheng Soon Ong
Keyword(s):  

Author(s):  
Lorenza Saitta ◽  
Attilio Giordana ◽  
Antoine Cornuejols

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