Supervised and non-supervised AE data classification of nanomodified CFRP during DCB tests

Detecting Concept Drift in Data Stream Using Semi-Supervised Classification

Data stream is a sequence of data generated from various information sources at a high speed and high volume. Classifying data streams faces the three challenges of unlimited length, online processing, and concept drift. In related research, to meet the challenge of unlimited stream length, commonly the stream is divided into fixed size windows or gradual forgetting is used. Concept drift refer...

Supervised Exercise Patterns among Diabetic and Non-diabetic Portuguese Adults

Background. Physical activity (PA) is a keystone of diabetes management, but although self-exercise is beneficial, supervised exercise (SE), adapted to individual characteristics, and is more effective. Objectives. The main research goal is to compare SE patterns among diabetic and non-diabetic Portuguese adults. Methods. A total of 484 participants (85 diabetics, 399 non-diabetics), aged 41-...

Data Mining: Classification/Supervised Learning Potpourri Contents

Evaluating the Effectiveness of Supervised and Unsupervised Classification Methods in Monitoring Regs (Case Study: Jazmourian Reg)

Due to its mobility and ability to move and its direct impact on residential areas and various developmental activities, the Ergs are of major importance in the desert areas, so monitoring of those is very important. Considering that the use of supervised and unguarded methods is considered as one of the most common methods in determining and monitoring land uses, in this research, the accuracy...

Semi-Supervised Classification on Evolutionary Data

In this paper, we consider semi-supervised classification on evolutionary data, where the distribution of the data and the underlying concept that we aim to learn change over time due to shortterm noises and long-term drifting, making a single aggregated classifier inapplicable for long-term classification. The drift is smooth if we take a localized view over the time dimension, which enables u...