Feature selection (FS) is considered as one of the core concepts in the areas of machine
learning and data mining which immensely impacts the performance of classification model …

Nowadays, researchers aim to enhance man-to-machine interactions by making
advancements in several domains. Facial emotion recognition (FER) is one such domain in …

Feature selection (FS) is a well-explored domain of data pre-processing and information
theory. It is the process of selecting important features from a high-dimensional feature …

Text non-text separation is one of the most essential pre-processing steps for any optical
character recognition (OCR) system. As an OCR engine can only process texts, the non …

Numeral recognition is treated as a benchmark research problem as this is a basic module
for designing a comprehensive optical character recognition system. In this context …

Protein secondary structure (PSS) describes the local folded structures which get formed
inside a polypeptide due to interactions among atoms of the backbone. Generally, globular …

This work proposed a binary variant of the recently-proposed Equilibrium Optimizer (EO) to
solve binary problems. A v-shaped transfer function is used to map continuous values …

'Hybrid meta-heuristics' is one of the most interesting recent trends in the field of optimization
and feature selection (FS). In this paper, we have proposed a binary variant of Atom Search …

Purpose The amount of features in handwritten digit data is often very large due to the
different aspects in personal handwriting, leading to high-dimensional data. Therefore, the …

It is always very much helpful for the doctors if early diagnosis report of some chronic
disease is available. Most of the disease datasets, prepared by some means, are …