Estimating the crop leaf area index (LAI) accurately is very critical in agricultural remote
sensing, especially in monitoring crop growth and yield prediction. The development of …

Leaf nitrogen concentration (LNC) is an important indicator for accurate diagnosis and
quantitative evaluation of plant growth status. The objective was to apply a discrete wavelet …

Auscultation of the respiratory system–a key system in a human body–is a complicated
procedure and it requires a doctor to have good perception skills and profound experience …

Community-Acquired Pneumonia (CAP) is a significant cause of child mortality globally, due
to the lack of ubiquitous monitoring methods. Clinically, the wireless stethoscope can be a …

The paper presents a comprehensive analysis of the IEEE-16 bus system under different
operating conditions. It discusses the selection of suitable decomposition level and wavelet …

Computational lung sound classification (LSC) has attracted attention over many years. The
number of studies on adventious lung sound detection as well as respiratory disease …

The paper delves into the plausibility of applying fractal, spectral, and nonlinear time series
analyses for lung auscultation. The thirty-five sound signals of bronchial (BB) and pulmonary …

This paper presents a new approach to perform near-perfect image reconstruction for an
online/real-time two-dimensional discrete wavelet transform (2D-DWT) analysis/synthesis …

Chronic obstructive pulmonary disease (COPD) and pneumonia are lethal pulmonary
illnesses with equivocal nature of abnormal pulmonic acoustics. Using lung sound signals …

Digital auscultation is a well-known method for assessing lung sounds, but remains a
subjective process in typical practice, relying on the human interpretation. Several methods …