Retrieving, analyzing, and processing large data can be challenging. An effective and
efficient mechanism for overcoming these challenges is to cluster the data into a compact …

We examine the paradigm of data-centric artificial intelligence (DCAI) as a solution to the
obstacles that small and medium-sized enterprises (SMEs) face in adopting AI. While the …

Named Entity Recognition (NER) in social media has received much research attention in
the field of natural language processing (NLP) and information extraction. Research on this …

Remote photoplethysmogram (rPPG) is a low-cost method to extract blood volume pulse
(BVP). Some crucial vital signs, such as heart rate (HR) and respiratory rate (RR) etc. can be …

Data science is one of the most significant developments in computing in the 21st century. It
is also described as a discipline in the making, drawing principles, methods and tools from …

Physical models can help improve solar cell efficiency during the design phase and for
quality control after the fabrication process. We present a data-driven approach to inverse …

The Kuwaiti dialect is a particular dialect of Arabic spoken in Kuwait; it differs significantly
from standard Arabic and the dialects of neighboring countries in the same region. Few …

In this paper, a Robust Double Relaxed Regression (RDRR) is proposed for image
classification. The core idea of RDRR is to alleviate the contradiction between the increase …

We present solutions to two of the most pressing issues in contemporary optical music
recognition (OMR). We improve recognition accuracy on low-quality, real-world (ie …

A variety of medical computer vision applications analyze 2D slices of computed
tomography (CT) scans, whereas axial slices from the body trunk region are usually …