De-noising and extraction of the weak signature are crucial to fault prognostics in which case
features are often very weak and masked by noise. The wavelet transform has been widely …

This book deals with decision making in environments of significant data un certainty, with
particular emphasis on operations and production management applications. For such …

Alzheimer's disease (AD) is a progressive and irreversible neurodegenerative disorder.
Mutations in presenilins 1 and 2 (PS1 and PS2) account for ∼40% of familial AD (FAD) cases. …

The shortest path problem is of great importance to the real world in such areas as transportation,
network design, telecommunication, etc. The deterministic version of the problem is …

The carrier collection efficiency (η c ) and energy conversion efficiency (η e ) of polymer
photovoltaic cells were improved by blending of the semiconducting polymer with C 60 or its …

In this paper, we introduce a new time-frequency (TF) analysis (TFA) method to study the
trend and instantaneous frequency (IF) of nonlinear and nonstationary data. Our proposed …

Semantic segmentation requires both rich spatial information and sizeable receptive field.
However, modern approaches usually compromise spatial resolution to achieve real-time …

A device configuration for light emission from electroactive polymers is described. In these
light-emitting electrochemical cells, a pn junction diode is created in situ through …

The topic of multi-person pose estimation has beenlargely improved recently, especially
with the developmentof convolutional neural network. However, there still exista lot of …

Sensing from the ultraviolet-visible to the infrared is critical for a variety of industrial and
scientific applications. Today, gallium nitride–, silicon-, and indium gallium arsenide–-based …