Novel Coronavirus pandemic, which negatively affected public health in social,
psychological and economical terms, spread to the whole world in a short period of 6 …

In the recent past, we have witnessed the adoption of different machine learning techniques
for indoor positioning applications using WiFi, Bluetooth and other technologies. The …

Automatic keyword extraction is an important research direction in text mining, natural
language processing and information retrieval. Keyword extraction enables us to represent …

Cloud computing is an Internet based computing environment, where storage and
computing resources are assigned dynamically among users according to their needs, using …

Ensemble methods are a popular choice for learning from evolving data streams. This
popularity is due to (i) the ability to simulate simple, yet, successful ensemble learning …

In this paper, we consider supervised learning under the assumption that the available
memory is small compared to the dataset size. This general framework is relevant in the …

In recent years, a lot of attention has been paid to using radiology imaging to automatically
find COVID-19.(1) Background: There are now a number of computer-aided diagnostic …

Ensemble techniques such as bagging or boosting, which are based on combinations of
classifiers, make it possible to design models that are often more accurate than those that …

Animal activity recognition is an important topic that facilitates understanding of animal
behavior that is useful for analyzing and classifying their wellbeing. Research studies have …

Web page classification is an important research direction on web mining. The abundant
amount of data available on the web makes it essential to develop efficient and robust …