The potential of attention mechanisms in time series classification (TSC) is limited owing to general drawbacks, like weak local perception and quadratic complexity. To promote the performance mechanisms, we present a flexible multi-head linear (FMLA) architecture, which enhances locality awareness through layer-wise interactions with deformable convolutional blocks online knowledge distillatio...

Pansharpening is to fuse a multispectral image (MSI) of low-spatial-resolution (LR) but rich spectral characteristics with panchromatic (PAN) high spatial resolution (HR) poor characteristics. Traditional methods usually inject the extracted high-frequency details from PAN into upsampled MSI. Recent deep learning endeavors are mostly supervised assuming that HR MSI available, which unrealistic ...

Employee in the information technology domain is extremely active their career. In that case, company usually deals with human resource exhaustion. The understanding of job mobility useful for a variety ways, example, employee recruitment, retention. While most studies focus on predicting next title or recommendation based previous experiences, problem forecast duration employees working at ind...

OBJECTIVES We analyzed a standard children's quality measure for attention-deficit/hyperactivity disorder (ADHD) using data from a single state to understand the characteristics of those meeting the measure, potential barriers to meeting the measure, and how meeting the measure affected outcomes. STUDY DESIGN Retrospective study using claims from Alabama's Children's Health Insurance Program ...

Vehicular networks have attracted extensive attentions in recent years for their promises in improving safety and enabling other value-added services. Most previous work focuses on designing the media access and physical layer protocols. Privacy issues in vehicular systems have not been well addressed. We argue that privacy is a user-specific concept, and a good privacy protection mechanism sho...

The angular information of light lost in conventional images but preserved and stored light-fields plays an instrumental role many applications such as depth estimation, 3D reconstruction post-capture refocusing. However, the limited resolution light-field due to consumer hardware limitations is a major drawback its widespread adoption. In this article, we present novel deep learning-based view...