Aleksander Sadikov and Igor Kononenko and Matjaž Bevk and Zoran Bosnić (2001) GDV technique and machine learning: Current research and results. In: Science, Information, Spirit 2001, 2001, St. Peterburg, Russian Federation.
Abstract
We use machine learning to analyze GDV images of leaves of apple trees and human fingers. We are interested in two hypotheses: 1. GDV images of plant leaves contain information about plant condition, 2. Human bioelectromagnetic field can be influenced by outside factors, such as vitalized water from special glasses. We performed four independent studies: (a) analyzing coronas of apple leaves, (b) detecting the effect of K2000 glasses on human BEM field, (c) detecting the effect of mobile phones on human BEM field and (d) detecting the effect of energized orbs on human BEM field.
| Item Type: | Conference or Workshop Item (Paper) |
|---|
| Keywords: | GDV technique, machine learning, bioelectromagnetic field, coronas of leaves, vitalized water, energetic glass K2000, mobile phone, energized orbs |
|---|
| Language of Content: | English |
|---|
| Related URLs: | |
|---|
| Institution: | University of Ljubljana |
|---|
| Department: | Faculty of Computer and Information Science |
|---|
| Divisions: | Faculty of Computer and Information Science > Laboratory for Cognitive Modelling |
|---|
| Item ID: | 107 |
|---|
| Date Deposited: | 26 Jan 2004 |
|---|
| Last Modified: | 04 Dec 2013 14:55 |
|---|
| URI: | http://eprints.fri.uni-lj.si/id/eprint/107 |
|---|
Actions (login required)
![[img]](http://eprints.fri.uni-lj.si/style/images/fileicons/application_pdf.png)
