|
|
|
|
|
Rytis Maskeliunas, Audrius Kulikajevas, Robertas Dama?evicius, Julius Gri?kevicius and Au?ra Adomaviciene
The research introduces a unique deep-learning-based technique for remote rehabilitative analysis of image-captured human movements and postures. We present a ploninomial Pareto-optimized deep-learning architecture for processing inverse kinematics for s...
ver más
|
|
|
|
|
|
|
|
|
Yiyang Wei, Changyong Lan, Shuren Zhou and Chun Li
Two-dimensional (2D) materials have gained significant attention owing to their exceptional electronic and optoelectronic properties, including high carrier mobility, strong light?matter interaction, layer-dependent band structure and band gap. The passi...
ver más
|
|
|
|
|
|
|
|
|
Xin Li, Yang Li, Qiang Li, Xiaozhou Zhang, Xuechen Shi, Yudong Lu, Shaoxiong Zhang and Liting Zhang
Preferential flow is widely developed in varieties of voids (such as macropores and fissures) in loess areas, affecting slope hydrology and stability and even leading to geological disasters. However, the model of seepage evolution with dynamic preferent...
ver más
|
|
|
|
|
|
|
|
|
Tilo Strutz
This paper investigates the systematic and complete usage of k-opt permutations with k=2…6" role="presentation">??=2?6k=2?6
k
=
2
?
6
in application to local optimization of symmetric two-dimensional instances up to 107" role="presentation">1...
ver más
|
|
|
|
|
|
|
|
|
Thien An Nguyen and Jaejin Lee
With a high capacity and fast data access rate, holographic data storage (HDS) is a potential candidate for future storage systems. However, for page-oriented data processing, two-dimensional (2D) interference appears intensely in the HDS systems. Theref...
ver más
|
|
|
|