In the field of medical image analysis within deep learning (DL), the importance of
employing advanced DL techniques cannot be overstated. DL has achieved impressive …

This review highlights the latest trends in carbon capture, utilization, and storage techniques.
The recent advances in the current carbon capture techniques, ie, post-combustion carbon …

The integration of urban natural resources and smart city technologies as a means to
promote sustainability is investigated in this study using a descriptive-analytical literature …

Nowadays, machine learning (ML) has attained a high level of achievement in many
contexts. Considering the significance of ML in medical and bioinformatics owing to its …

Optimization approaches in machine learning (ML) are essential for training models to
obtain high performance across numerous domains. The article provides a comprehensive …

The rapid development of Internet of Things (IoT)-based applications and the era of 5G
networks has led to an exponential increase in the amount of data required for processing …

Advancements in smartphone sensor technologies have significantly enriched the field of
human activity recognition, facilitating a wide array of applications from health monitoring to …

Ubiquitous computing has been a green research area that has managed to attract and
sustain the attention of researchers for some time now. As ubiquitous computing …

This research paper intends to provide real-life applications of Generative AI (GAI) in the
cybersecurity domain. The frequency, sophistication and impact of cyber threats have …

In the domain of using DL-based methods in medical and healthcare prediction systems, the
utilization of state-of-the-art deep learning (DL) methodologies assumes paramount …