Neural networks and deep learning are changing the way that artificial intelligence is being
done. Efficiently choosing a suitable network architecture and fine tuning its hyper-…

This paper presents a data-driven algorithm for identification of locally differentially flat
output from system output measurements. No detailed mathematical model of the system is …

This paper proposes a neural networks-based approach of finding flat output of linearized
underactuated mechanical systems (UMS). Given that differential flatness and controllability …

We present a first-principles study of the structural, electronic, and magnetic properties of
TM (PAH) 0/+(TM= Fe, Co, Ni; PAH= C 10 H 8, C 16 H 10, C 24 H 12, C 32 H 14) complexes …

This article proposes a nonparametric system identification technique to discover the
governing equation of nonlinear dynamic systems with the focus on practical aspects. The …

The hybrid vibration isolation, which takes advantages of both the passive and active
approaches, has been an important solution for space missions. The objective of this paper is to …

By using the high-level quantum chemistry method, we investigate the electronic and magnetic
properties of Ni substituted polyacene structures as well as the laser-induced ultrafast …

Underactuated mechanical system (UMS) is a special class of mechanical systems that play
an important role in a wide variety of engineering applications. UMSs typically show a great …

The implementation of grain direct subsidy policy plays a positive role in increasing grain
output, farmers' income, and promoting the development of agriculture. The precision of issuing …

Using remote sensing data to estimate crop area is efficient to a wide range of end-users,
including government agencies, farmers and researchers. Moderate spatial resolution (MSR) …