|
|
|
|
|
Carla Molz, David Scherb, Christopher Löffelmann, Johannes Sänger, Zhejun Yao, Andreas Lindenmann, Sven Matthiesen, Robert Weidner, Sandro Wartzack and Jörg Miehling
This research aims to provide a co-simulation model to derive design optimizations for technical support systems regarding the user needs.
|
|
|
|
|
|
|
|
|
|
|
Jinjia Zhou and Jian Yang
Compressive Sensing (CS) has emerged as a transformative technique in image compression, offering innovative solutions to challenges in efficient signal representation and acquisition. This paper provides a comprehensive exploration of the key components...
ver más
|
|
|
|
|
|
|
|
|
|
|
Neboj?a Lukic, Toni Ivanov, Jelena Svorcan and Aleksandar Simonovic
A novel concept of morphing airfoils, capable of changing camber and thickness, is proposed. A variable airfoil shape, defined by six input parameters, is achieved by allowing the three spinal points (at fixed axial positions) to slide vertically, while ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Yan Xu, Yilong Yang, He Huang, Gang Chen, Guangxing Li and Huajian Chen
To improve the cushioning performance of soft-landing systems, a novel origami-inspired combined cushion airbag is proposed. The geometry size, initial pressure, and exhaust vent area of the cushion airbags are designed preliminarily using a theoretical ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Mojtaba Nayyeri, Modjtaba Rouhani, Hadi Sadoghi Yazdi, Marko M. Mäkelä, Alaleh Maskooki and Yury Nikulin
One of the main disadvantages of the traditional mean square error (MSE)-based constructive networks is their poor performance in the presence of non-Gaussian noises. In this paper, we propose a new incremental constructive network based on the correntro...
ver más
|
|
|
|
|
|
|
|
|
|
|
Girolamo Musso, Iara Figueiras, Héléna Goubel, Afonso Gonçalves, Ana Laura Costa, Bruna Ferreira, Lara Azeitona, Simão Barata, Alain Souza, Frederico Afonso, Inês Ribeiro and Fernando Lau
The commercial space launch sector is currently undergoing a significant shift, with increasing competition and demand for launch services, as well as growing concerns about the environmental impact of rocket launches. To address these challenges, within...
ver más
|
|
|
|
|
|
|
|
|
|
|
Dilip Kumar Roy, Mohamed Anower Hossain, Mohamed Panjarul Haque, Abed Alataway, Ahmed Z. Dewidar and Mohamed A. Mattar
This study addresses the crucial role of temperature forecasting, particularly in agricultural contexts, where daily maximum (????????
T
m
a
x
) and minimum (????????
T
m
i
n
) temperatures significantly impact crop growth and irrigation planning. While ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Yihao Fang, Mu Niu, Pokman Cheung and Lizhen Lin
We propose an extrinsic Bayesian optimization (eBO) framework for general optimization problems on manifolds. Bayesian optimization algorithms build a surrogate of the objective function by employing Gaussian processes and utilizing the uncertainty in th...
ver más
|
|
|
|
|
|
|
|
|
|
|
Huiqun Hao, Jinrong Jiang, Tianyi Wang, Hailong Liu, Pengfei Lin, Ziyang Zhang and Beifang Niu
This paper proposes a series of parallel optimizations on a high-resolution ocean model, the LASG/IAP Climate System Ocean Model (LICOM), which was independently developed by the Institute of Atmospheric Physics of the Chinese Academy of Sciences. The ve...
ver más
|
|
|
|
|
|
|
|
|
|
|
Aristeidis Karras, Christos Karras, Nikolaos Schizas, Markos Avlonitis and Spyros Sioutas
The field of automated machine learning (AutoML) has gained significant attention in recent years due to its ability to automate the process of building and optimizing machine learning models. However, the increasing amount of big data being generated ha...
ver más
|
|
|
|
|
|