July 2021 Issue Vol.11 No.7
OVERVIEW OF HANDLING IMBALANCED DATASETS IN MACHINE LEARNING
https://ia601500.us.archive.org/32/items/vol11no7/vol11no701.pdf
D. Kavitha1 and Dr. R. Ramkumar2
1. Research Scholar, Computer Science, Nandha Arts and Science College, Erode.
2. School of Computer Science, VET Institute of Arts and Science (Co-education) College, Erode
Abstract:
Data mining and Machine learning are the most important research areas which attracts researchers. Class imbalance problem plays a vital role in data mining. In real world, technology evolution makes increase in data in various problems. This is termed as data velocity and volume. In machine learning, the required accuracy level of imbalance data classification is not produced by various techniques. The number of observations differs for the classes in a classification dataset termed as imbalanced datasets which leads to inaccurate results. Machine learning algorithms are powered by data and it’s important to have balanced datasets in a machine learning workflow. This paper describes the issues of imbalance datasets, differences between balanced and imbalanced datasets and various techniques for handling imbalance dataset problems. Of course, a single article cannot be a complete review of all the methods and algorithms, however hope that the references cited will cover the major theoretical issues which guiding the researcher in interesting research directions and suggesting conceivable combinations that have yet to be explored.
MEASUREMENT OF GASTRIC MOTILITY BY USING INFRARED LIGHT FOR THE ASSESSMENT AND CLASSIFICATION OF CHRONIC STRESS
https://ia601500.us.archive.org/32/items/vol11no7/vol11no702.pdf
Menakaa P #1, Muhammadu Sathik Raja M S *2, Thiyagarajan N #3
# Department of medical electronics, Sengunthar College of Engineering India
Abstract:
This study is regarding the assessment of chronic stress by finding the gastric motility with the assistance of infrared rays. Measure of stress will be notice by numerous strategies like electrogastrography and echogram. However these aren't appropriate for home use. In order that the most issue is to develop a non-invasive and compact measure system of gastric motility by infrared. This method consists of IR LEDs as supply and avalanche photodiode (APD) as detector. APD receives that transmission from IR LEDs and reflective on the stomach wall. AI is that the projected technique of classifying humans stress as a result of it's supported existing information. This thesis use NN for classifying the stress by the comparison of results with these computer science techniques.
Read complete July 2021
Read complete July 2021
https://ia601500.us.archive.org/32/items/vol11no7/vol11no702.pdf
Menakaa P #1, Muhammadu Sathik Raja M S *2, Thiyagarajan N #3
# Department of medical electronics, Sengunthar College of Engineering India
Abstract: This study is regarding the assessment of chronic stress by finding the gastric motility with the assistance of infrared rays. Measure of stress will be notice by numerous strategies like electrogastrography and echogram. However these aren't appropriate for home use. In order that the most issue is to develop a non-invasive and compact measure system of gastric motility by infrared. This method consists of IR LEDs as supply and avalanche photodiode (APD) as detector. APD receives that transmission from IR LEDs and reflective on the stomach wall. AI is that the projected technique of classifying humans stress as a result of it's supported existing information. This thesis use NN for classifying the stress by the comparison of results with these computer science techniques.