Supervised machine learning studies are gaining more significant recently because of the
availability of the increasing number of the electronic documents from different resources …

Automatic text categorization is the operation of sorting out the text documents into pre-
defined text categories using some machine learning algorithms. Normally, it defines the …

Recent text-to-image models have achieved impressive results. However, since they require
large-scale datasets of text-image pairs, it is impractical to train them on new domains where …

Classification is the technique of identifying and assigning individual quantities to a group or
a set. In pattern recognition, K-Nearest Neighbors algorithm is a non-parametric method for …

k nearest neighbours (kNN) queries are fundamental in many applications, ranging from
data mining, recommendation system and Internet of Things, to Industry 4.0 framework …

Gastric cancer is the high mortality rate cancers globally, and the current survival rate is 30%
even with the use of combination therapies. Recently, mounting evidence indicates the …

The k-NN algorithm is one of the most renowned ML algorithms widely used in the area of
data classification research. With the emergence of big data, the performance and the …

Existing distributed denial-of-service attack detection in software defined networks (SDNs)
typically perform detection in a single domain. In reality, abnormal traffic usually affects …

Objective The most widespread and intrusive cancer type among women is breast cancer.
Globally, this type of cancer causes more mortality among women, next to lung cancer. This …

Online communities are attractive sources of ideas relevant for new product development
and innovation. However, making sense of the 'big data'in these communities is a complex …