The Use of Artificial Neural Networks Methodology in the Assessment of “Vulnerability” to Heroin Use among Army Corps Soldiers: A Preliminary Study of 170 Cases inside the Military Hospital of Legal Medicine of Verona

1998 ◽  
Vol 33 (3) ◽  
pp. 555-586 ◽  
Author(s):  
Leonardo Speri ◽  
Giovanni Schiliro ◽  
Amedeo Bezzetto ◽  
Giuseppina Cifelli ◽  
Laura De Battisti ◽  
...  
Keyword(s):  
Neural Networks ◽  
Artificial Neural Networks ◽  
Legal Medicine ◽  
Military Hospital ◽  
Army Corps ◽  
Heroin Use ◽  
Preliminary Study ◽  
Artificial Neural ◽  
The Military

scholarly journals Augmented reality using artificial neural networks –a review

2019 ◽  
Vol 8 (4) ◽  
pp. 603
Author(s):  
Sreekumar Narayanan ◽  
Srinath Doss
Keyword(s):  
Neural Networks ◽  
Artificial Neural Networks ◽  
Augmented Reality ◽  
Effective Utilization ◽  
The Past ◽  
Diverse Application ◽  
The Common ◽  
Artificial Neural ◽  
The Military ◽  
The Way

The present paper reviews the areas where Augmented Reality (AR) has been used in Artificial Neural Networks (ANN) (Artificial Neural Networks). The focus on systems based on AR is largely on enhancing technologies in diverse application areas such as; defense, robotics, medical, manufacturing, education, entertainment, assisted driving, maintenance and mobile assistance. However, AR is now finding much usage in ANN. The research considered a review based methodology wherein most studies conducted in the past on AR and ANN were reviewed. AR with ANN has profound applications in various sectors and has been developed in an extended way but still has some distance to go afore industries, the military and the common public will receive it as a accustomed user interface. AR would modernize the way people animate and the way industries endeavor by effective utilization. There is an incredible potential in fields such as construction, art, architecture, repair and manufacturing with mediated reality and well-organized visualization through AR.  

scholarly journals An Explanation of the Veridical Uniformity Universal

2019 ◽  
Vol 37 (1) ◽  
pp. 129-144 ◽  
Author(s):  
Shane Steinert-Threlkeld
Keyword(s):  
Neural Networks ◽  
Artificial Neural Networks ◽  
Computational Experiment ◽  
Recent Proposal ◽  
Preliminary Study ◽  
Artificial Neural ◽  
Future Work

Abstract A semantic universal, which we here dub the Veridical Uniformity Universal, has recently been argued to hold of responsive verbs (those that take both declarative and interrogative complements). This paper offers a preliminary explanation of this universal: verbs satisfying it are easier to learn than those that do not. This claim is supported by a computational experiment using artificial neural networks, mirroring a recent proposal for explaining semantic universals of quantifiers. This preliminary study opens up many avenues for future work on explaining semantic universals more generally, which are discussed in the conclusion.

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