In this study, we developed Different Artificial Intelligence (AI) models namely Artificial
Neural Network (ANN), Adaptive Network based Fuzzy Inference System (ANFIS) and …

Purpose Automating and standardizing the contouring of clinical target volumes (CTVs) can
reduce interphysician variability, which is one of the largest sources of uncertainty in head …

This paper reviews the some of significant works on infant cry signal analysis proposed in
the past two decades and reviews the recent progress in this field. The cry of baby cannot be …

Automatic infant cry classification is one of the crucial studies under biomedical engineering
scope, adopting the medical and engineering techniques for the classification of diverse …

This study extended the use of artificial neural networks (ANNs) training algorithms in mass
appraisal. The goal was to verify the comparative performance of ANNs with linear, semi-log …

Traditional studies of infant cry signals focus more on non-pathology-based classification of
infants. In this paper, we introduce a noninvasive health care system that performs acoustic …

This study proposes using a novel combination of short-term and long-term features from
different timescales to develop an automatic newborn cry diagnostic system to differentiate …

A new approach has been presented based on the wavelet packet transform and
probabilistic neural network (PNN) for the analysis of infant cry signals. Feature extraction …

Crying is the most noticeable behavior of infancy. Infant cry signals can be used to identify
physical or psychological status of an infant. Recently, acoustic analysis of infant cry signal …

In this paper, we describe a crime predicting method which forecasts the types of crimes that
will occur based on location and time. In the proposed method the crime forecasting is done …