APPLICATION OF ARTIFICIAL NEURAL NETWORKS ACROSS VARIOUS DOMAINS OF CREATIVITY: A RESEARCH OVERVIEW
The research provides an examination of the Artificial Neural Networks (ANNs) appliance across diverse domains of creativity. In addition to exploring the theoretical background of machine learning and artificial intelligence, numerous practical applications of ANNs are discussed, in the fields such as education, agriculture, traffic, environ...
By Marija Blagojević
MULTILAYER PERCEPTRON CLASSIFICATION MODEL FOR DETECTING EMOTIONAL DISTRESS IN BREAST CANCER PATIENTS
Breast cancer is one of the most common malignancies, and one of the leading causes of cancer-related death among women. This research aimed to explain emotional distress based on self-empowerment skills and interpersonal interactions in breast cancer patients using the explainable multilayer perceptron classification model. The participants ...
By Marija Blagojević, Hojjatollah Farahani, Manijeh Firoozi, Danijela Milošević
PREDICTING THE IDEAL WEIGHT IN THE PROCESS OF DIALYSIS IN CHILDREN USING REGRESSION ALGORITHMS
This study shows the use of regression algorithms in predicting the ideal weight of children during the process of haemodialysis. The data regarding height and weight for calculating the BMI (Body Mass Index) are collected at the University Children’s Hospital Tirsova in Belgrade. In addition, bioimpedance, haematocrit and blood pressur...
By Marija Blagojević, Danijela Milošević, Katarina Mitrović, Mirjana Kostić, Dušan Paripović, Nataša Gojgić
APPLICATION OF THE DECISION TREE TECHNIQUE IN THE ANALYSIS OF TRAFFIC ACCIDENTS
The aim of the research is to examine the possibility of applying Weka software in the process of analysing traffic accidents that occurred in the territory of the Republic of Serbia. During the analysis, the J48 algorithm of the decision tree technique was applied. The database of traffic accidents from 2019, in which a total of 35,956 accid...
By Aleksandar Mamić, Marija Blagojević, Danijela Milošević