Machine learning (ML) represents the automated extraction of models (or patterns) from
data. All ML techniques start with data. These data describe the desired relationship …

Fingerprint recognition systems are susceptible to artificial spoof fingerprint attacks, like
molds manufactured from polymer, gelatin or Play-Doh. Presentation attack is an open issue …

Many machine learning techniques have been used in past few decades for various medical
applications. However, these techniques suffer from parameter tuning issue. Therefore, an …

Magnetic resonance imaging (MRI) plays an important role in disease diagnosis. The noise
that appears in MRI images is commonly governed by a Rician distribution. The bendlets …

This research pertains to classification of the heart sound using digital Phonocardiogram
(PCG) signals targeted to screen for heart ailments. In this study, an existing variant of the …

Metal halide-perovskite solar cells have managed to attain soaring heights in power
conversion efficiency in the past decade, rising from 3.8% to around 24% in 2019. Formal …

Many deep learning-based approaches have been authenticated well performed for low-
dose computed tomography (LDCT) image postprocessing. Unfortunately, most of them …

This paper provides a Priority-based Optimized-Hybrid Asynchronous Centralized and
Decentralized (POHACD) algorithm for multi-robot path planning (MRPP) issue, where …

Image denoising has always been a challenging task. For performing this task, one of the
most effective methods is based on variational PDE. Inspired by the LLT model, we first …

Content-based image retrieval (CBIR) system generally retrieves images based on the
matching of the query image from all the images of the database. This exhaustive matching …