Feature selection is a real-world problem that finds a minimal feature subset from an original
feature set. A good feature selection method, in addition to selecting the most relevant …

The conventional audio feature extraction methods employed in the audio analysis are
categorized into time-domain and frequency-domain. Recently, a new audio feature …

This era is dominated by artificial intelligence and its various applications-one of which is
Spoken Language Identification (S-LID) which has always been a challenging issue and an …

Abstract Information Technology has touched new vistas for a couple of decades mostly to
simplify the day-to-day life of the humans. One of the key contributions of Information …

Automatic language identification (LID) is the practice of detecting the language through
linguistic content of speech spoken by certain anonymous speaker. In multi-lingual based …

This paper proposes a modified quasi-opposition-based grey wolf optimization (mQOGWO)
method to solve complex constrained optimization problems. The effectiveness of mQOGWO …

Precise identification of the language from speech utterance is a prime task of a language
identification system and has been extensively utilized in multilanguage speech …

Early detection of brain tumor is a challenging task that assists medical practitioners in
disease diagnosis. This article presents a computer-assisted brain tumor detection scheme …

Electronic nose is a kind of widely-used artificial olfactory system for the detection and
classification of volatile organic compounds. The high dimensionality of data collected by …

Respiratory sound samples unveil key information about the patient's lung condition.
According to the World Health Organization, respiratory diseases are one of the major …