Over the past decades, a particular focus is given to research on machine learning
techniques for speech processing applications. However, in the past few years, research …

Lung cancer has one of the highest mortality rates of all cancers and poses a severe threat
to people's health. Therefore, diagnosing lung nodules at an early stage is crucial to …

Multi-modal fusion combines multiple modal information to overcome the limitation of
incomplete information expressed by a single modality, so as to realize the complementarity …

Astronomy, being one of the oldest observational sciences, has collected a lot of data over
the ages. In recent times, it is experiencing a huge data surge due to advancements in …

This research introduces a new combined modelling approach for mapping soil salinity in
the Minab plain in southern Iran. This study assessed the uncertainty (with 95% confidence …

Training complex machine learning and deep learning models has become straightforward
with the advent of highly efficient, open-source machine learning libraries. Supervised …

COVID-19 pandemic has become endemic and has plunged the global community into a
perilous situation pervaded with an economic recession, loss of jobs, and the death of …

Recently, several studies attempt to classify the non-invasive medical images in the case of
Covid-19. Among them, many research endeavors started to classify Covid-19 using …

Sažetak This study analyses numerous human activities and also classifies the activities
based on their trait of motion using wearable sensors data. As a part of the Human Activity …

Abstract In this era, Deep Learning becomes very popular in the medical science domain,
especially for the segmentation of medical images. Prediction of the symptoms of dangerous …