A 5G ultra dense network architecture makes use of a high density of micro cell base
stations to provide increased coverage, capacity, and performance for 5G communication …

Wireless Mesh Networks (WMNs) are critical in ensuring ubiquitous internet coverage,
particularly in environments and terrains with unique challenges. The increasing number of …

The intricate temporal patterns observed in financial markets might have an impact on
market outlook and trading decisions. The challenge of effectively predicting these markets …

Deep Reinforcement Learning (DRL) has emerged as a useful method for improving both
accuracy and efficiency in advanced forensic analysis and security surveillance. This …

Intrusion detection systems (IDS) that are powered by machine learning have become an
important tool for enhancing online security due to their capacity to detect and respond …

These advances in image identification's technology have created massive changes, mainly
in the health care facilities plus self-directed systems. Transfer learning strategies coupled …

As Wireless Sensor Networks (WSNs) grow rapidly, power optimization for sustainability and
efficiency is needed. This study offers a complete energy-saving and WSN-extending …

Cloud computing is a significant step forward for information technology since it enables
elastic and immediate access to a variety of computer resources. However, protecting …

In the fast-changing field of machine learning, data privacy and model training efficiency are
crucial. Federated Learning (FL) is a breakthrough method for training models on several …

Deep learning has changed image recognition forever, which has achieved amazing results
in many areas. On the other hand, deep learning models depend a lot on the quality and …