|
|
|
Kang Cao, Yongjie Zhang and Jianfei Feng
As aviation technology advances, numerous new aircraft enter the market. These not only offer airlines technological and fuel efficiency advantages but also present the challenge of how to conduct pilots? aircraft-type transition training efficiently and...
ver más
|
|
|
|
|
|
Deepanjal Shrestha, Tan Wenan, Deepmala Shrestha, Neesha Rajkarnikar and Seung-Ryul Jeong
This study introduces a data-driven and machine-learning approach to design a personalized tourist recommendation system for Nepal. It examines key tourist attributes, such as demographics, behaviors, preferences, and satisfaction, to develop four sub-mo...
ver más
|
|
|
|
|
|
Huafeng Quan, Shaobo Li, Changchang Zeng, Hongjing Wei and Jianjun Hu
As living standards improve, modern products need to meet increasingly diversified and personalized user requirements. Traditional product design methods fall short due to their strong subjectivity, limited survey scope, lack of real-time data, and poor ...
ver más
|
|
|
|
|
|
Francesco Petrosino and Mattia Barbarino
Scientific research studies on jet noise generation have been ongoing since the early 1950s, when turbojets were first used in commercial aircraft. Several numerical methods have been developed with the aim of reducing the environmental issues related to...
ver más
|
|
|
|
|
|
Gülsüm Ceylan, Gülsüm Sayin Özel, Gözde Memisoglu, Faruk Emir and Sevgin Sen
This study evaluates the preference rates for smile designs created by professionals or by Artificial Intelligence (AI) among dentists, dentistry students, and laypeople. Four cases with symmetrical and asymmetrical features were selected based on the Fa...
ver más
|
|
|