Modern data-receiving and monitoring systems use wireless sensor networks (WSNs);
however, sensor data prediction can be difficult. A new machine learning system named …

In order to maximize the benefits of industrial smart grids in terms of energy optimization, this
research presents the Dynamic Energy Optimization System for Industrial Smart Grids …

Through a methodologically exhaustive approach, this study investigates the complex
relationships between contemporary digital dreamscapes and deep data insights. Natural …

With the use of deep learning algorithms, we provide in this work a novel approach, called"
DeepDiffNet," to investigate the most recent advancements in the comprehension of coded …

To guarantee high-quality and trustworthy data, we first highlight the need of preprocessing.
The dataset is prepared for analysis by using standard methods such as data cleansing …

This study presents an innovative integration of Data Mining and Artificial Intelligence (AI) to
advance early detection and management of gastrointestinal disorders. The methodology …

Pandemics pose significant challenges to healthcare systems, particularly in resource
allocation and patient care. Traditional methods for resource allocation often face limitations …

In summary, edge computing is crucial to the development of the coming metaverse's vast
digital ecosystems. This research introduces a fresh approach to assessing the efficacy of …

The use of High-Performance Computing (HPC) to improve artificial intelligence (AI)-driven
comparative genomics studies is an active field of study that aims to tackle the growing …

Ingenious applications of millimeter-wave (mmWave) radar for simultaneous monitoring of
several targets are possible. It's conceivable, however, that the radar unit itself may …