Single image dehazing is a challenging ill-posed problem which estimates latent haze-free images from observed hazy images. Some existing deep learning based methods are devoted to improving the model ...

Modern change detection (CD) has achieved remarkable success by the powerful discriminative ability of deep convolutions. However, high-resolution remote sensing CD remains challenging due to the ...

Benefiting from the advances made in well-controlled materials synthesis techniques, nanocomposites have drawn considerable attention due to their enthralling physics and functionalities. In this work ...

Humans are exposed to many xenobiotics simultaneously, but little is known about the toxic effects based on chemical-chemical interactions. This study aims at evaluating the binary interactions ...

The ongoing deployment of 5G cellular systems is continuously exposing the inherent limitations of this system, compared to its original premise as an enabler for Internet of Everything applications.

Robust small target detection of low signal-to-noise ratio (SNR) is very important in infrared search and track applications for self-defense or attacks. Consequently, an effective small target ...

Safety is essential for reinforcement learning (RL) applied in the real world. Adding chance constraints (or probabilistic constraints) is a suitable way to enhance RL safety under uncertainty.

Quan-Hui Ye, Guo-Dong Sun, Ying-Hui Wang, Song Zhang, Yang Xu, Lian Feng, Myrna J. Simpson, Chen He, Quan Shi, Li-Ping Li, Jun-Jian Wang. Lake reclamation alters molecular-level characteristics of ...

A vinylarylcyclopropane (VACP) was synthesized via photocatalysis and employed as a 1,5-all-carbon dipole precursor in palladium-catalyzed [5 + n] cycloadditions with linear (aza)dienes or azomethine ...

Epilepsy is a chronic neurological disorder affecting 1% of people worldwide, deep learning (DL) algorithms-based electroencephalograph (EEG) analysis provides the possibility for accurate epileptic ...