Wireless sensor networks (WSN) has been extensively used in many real time wireless
sensor networks applications. Due to limitations of hardware resources and restricted …

Wireless sensor network (WSN) the unique and utmost encouraging tools for monitoring the
real-time applications. It has been utilized in various areas particularly for offering real-time …

People's choices to purchase a product are influenced by its internet ratings and
recommendations. Spammers manipulate product sales by creating fraudulent ratings on …

Recently, everywhere in the world for the purpose of recognizing the emotions research are
carried out. Understanding a person's true state at the time they are uttering words is the first …

Flooding is a common occurrence that results in human fatalities, severe environmental
harm, and major infrastructural damage. A method for mapping areas with apparent and …

The ongoing Covid-19 (coronavirus) outbreak is worsening the worldwide health crisis,
impacting our daily lives. Wearing a face mask is the most basic form of prevention against …

Machine learning techniques have been have proven to be more effective than conventional
extensively used in the creation of intrusion detection systems (IDS) that can swiftly and …

The abstract presents a system that employs deep learning techniques to automatically
detect weeds in agricultural fields. While the system's efficiency in identifying the presence of …

Oral cancer is a prevalent malignancy that is challenging and has a high severity level. In
India, oral cancer is the eighth most prevalent cancer in the world, claiming 130,000 lives …

In the current age, wireless sensor networks (WSN) are growing the attention of researchers.
WSNs are significantly used in a broad scope of real‐time monitoring applications. With …