The major challenges faced in the modern era involve fulfilling urgent needs for multi-access
health-tracking systems and reliable identification of diseases. Recent advancements in …

As user usage grows, so do security threats to networks, the Internet, websites, and
organizations. Detecting intrusions in such a big data situation is complex. A feature …

In response to escalating cyber threats, there is an urgent need for adaptive detection
mechanisms. This study introduces a cyber threat detection framework employing ensemble …

Objectives: This study objective is to create a proactive forensic framework with a
classification model to identify the malicious content to avoid cyberattacks. Methods: In this …

For a number of reasons, distributed computing is crucial to machine learning and deep
learning models. In the beginning, it makes it possible to train big models that won't fit in a …

Nigeria is renowned for its vast production of paddy rice, resulting in a significant volume of
rice husk generation. Consequently, the conversion of these quantities of rice husk into …

Intrusion detection and defense systems are important guarantees for data security. The
related developers did not fully consider the security of the system when they first designed …

In this digital age, inter-device communication is key to seamless and smooth handshaking.
Communication can range from Internet of Things communication (IoT), autonomous …