Although proper pain evaluation is mandatory for establishing the appropriate therapy, self‐
reported pain level assessment has several limitations. Data‐driven artificial intelligence (AI) …

Electrical load planning and demand response programs are often based on the analysis of
individual load-level measurements obtained from houses or buildings. The identification of …

Ultrafast spectroscopy often involves measuring weak signals and long data acquisition
times. Spectra are typically collected as a “pump–probe” spectrum by measuring differences …

Correction of chromatic aberration is an important issue in color imaging and display.
However, realizing broadband achromatic imaging by a singlet lens with high …

Deep learning has made tremendous advances in the domains of image segmentation and
object classification. However, real-time lane line detection and departure estimates in …

Images captured in low-light often suffer from severe quality degraded problems, such as
low contrast and color distortion, which make it intractable for further computer vision tasks …

In this paper we propose a novel modification of Contrastive Language-Image Pre-Training
(CLIP) guidance for the task of backlit image enhancement. Our work builds on the state-of …

Rainfall in the Brazilian Legal Amazon (BLA) is vital for climate and water resource
management. This research uses spatial downscaling and validated rainfall data from the …

This paper proposes a colour variation minimization retinex decomposition and
enhancement with a multi-branch decomposition network (CvmD-net) to remove single …

Aiming at the problem of insufficient tracking accuracy caused by object occlusion in the
process of multi-object tracking, this paper proposes a multi-order semantic fusion …