Organising documents into relevant categories through image classification is crucial for
management and safeguarding of valuable information. Many studies have done work on it …

Medical image analysis, particularly for CT scans, plays a crucial role in the diagnosis and
management of various diseases, including COVID-19. However, the limited availability of …

Medical professionals identify and classify brain tumours to save lives. This innovative study
applies prominent machine learning classifiers to varied deep brain imaging features …

Targeting low-resolution imagery is crucial in democratising computer vision technologies,
facilitating applicability in resource-limited environments where high-resolution data is often …

This study employs the University of Bonn Dataset to address the importance of frequency
information in EEG data and introduces a methodology utilising the short-time Fourier …

Multiple data streams from sensing devices in intelligent settings have improved life quality
thanks to the internet of things (IoT). Anomalies and imbalanced data sources are …

One problem that reduces performance in data analysis is missing data. Improper imputation
of missing data may lead to an incorrect prediction. In the internet of medical things (IoMT) …

The idea of the'smart city'has developed in response to the issues brought on by the rapid
growth in urbanisation and population. Smart cities are interconnected. IoT and big data …

Once a crisis arises, people use social media platforms (such as Twitter) to communicate
real-time updates. This data is incredibly helpful to disaster relief and response …