Recent advancements in biomedical technologies and the proliferation of high-dimensional
Next Generation Sequencing (NGS) datasets have led to significant growth in the bulk and …

As the alarming growth of computer connectivity and the significant number of computer-
related applications increased lately, the challenge of achieving cyber-security has become …

The planet earth has been facing COVID-19 epidemic as a challenge in recent time. It is
predictable that the world will be fighting the pandemic by taking precautions steps before …

Presently, the move towards a more complex and multidisciplinary system development is
increasingly important in order to understand and strengthen engineering approaches for …

This paper aims to explore various classification models and data processing techniques for
classifying defects on steel plates. The study is based on a dataset of steel plates with seven …

Recently, machine learning techniques have been widely applied in discriminative studies
of schizophrenia (SZ) patients with multimodal magnetic resonance imaging (MRI); however …

The enormous volumes of IoT-based datasets in the cloud system produced by medical
industries are too multifaceted and in bulky capacity to be handled and scrutinized by …

Simple Summary Monoclonal antibodies targeting the programmed death 1 (PD-1) receptor
and its ligand (PD-L1) have demonstrated improved clinical response and survival in non …

Artificial intelligence, particularly machine learning, is the fastest-growing research trend in
educational fields. Machine learning shows an impressive performance in many prediction …

The widespread proliferation of social media platforms in the 21st century has undoubtedly
brought about a significant shift in how individuals establish connections. However, it is …