Recently, automatic computer-aided detection (CAD) of COVID-19 using radiological
images has received a great deal of attention from many researchers and medical …

Using techniques derived from the syntactic methods for visual pattern recognition is not
new and was much explored in the area called syntactical or structural pattern recognition …

With the advent and advancement of machine learning and deep learning techniques,
machine-based recognition systems for mathematical text have captivated the attention of …

In this paper we present a comprehensive review of a well-known sequential classifier in
machine learning Conditional Random Fields (CRFs). CRFs is proposed to cope the …

The dense conditional random field (dense CRF) is an effective post-processing tool for
image/video segmentation and semantic SLAM. In this paper, we extend the traditional …

Osteoarthritis (OA) is the most common disabling joint disease. Magnetic resonance (MR)
imaging has been commonly used to assess knee joint degeneration due to its distinct …

Though handwriting recognition is a well-explored research area for decades, there are a
few sub-areas of this field that have still not obtained much attention from the researchers …

Predicting the goals of internet users can be extremely useful in e-commerce, online
entertainment, and many other internet-based applications. One of the crucial steps to …

Generative design methods are able to produce a large number of potential solutions of
architectural floor plans, which may be overwhelming for the decision-maker to cope with …

Circuit diagram is the very foundation of electrical and electronic sciences. A circuit diagram
consists of various symbols called circuit components that specify the functionality of that …