|
|
|
Nicholas Fiorentini and Massimo Losa
Crash severity is undoubtedly a fundamental aspect of a crash event. Although machine learning algorithms for predicting crash severity have recently gained interest by the academic community, there is a significant trend towards neglecting the fact that...
ver más
|
|
|
|
|
|
Pasquale Contestabile, Fabio Conversano, Luca Centurioni, Umberto Mario Golia, Luigi Musco, Roberto Danovaro and Diego Vicinanza
In this paper, the advantages of shaping a non-conventional triple collocation-based calibration of a wave propagation model is pointed out. Illustrated through a case study in the Bagnoli-Coroglio Bay (central Tyrrhenian Sea, Italy), a multi-comparison ...
ver más
|
|
|
|
|
|
Sun Chan, David Cryer and Roger I. Price
A 3D-printed metal solid target using additive manufacturing process is a cost-effective production solution to complex and intricate target design. The initial proof-of-concept prototype solid target holder was 3D-printed in cast alloy, Al?7Si?0.6Mg (A3...
ver más
|
|
|
|
|
|
Yan Li, Yankun Peng, Jianwei Qin and Kuanglin Chao
In the study, a new correction method was applied to reduce error during Raman spectral detection on mixed pesticide residue in apples. Combined with self-built pesticide residues detection system by Raman spectroscopy and the application of surface enha...
ver más
|
|
|
|
|
|
Ahmad Ali, Yu Ming, Tapas Si, Saima Iram and Sagnik Chakraborty
Nowadays, wireless power transfer is ubiquitously used in wireless rechargeable sensor networks (WSNs). Currently, the energy limitation is a grave concern issue for WSNs. However, lifetime enhancement of sensor networks is a challenging task need to be ...
ver más
|
|
|