Abstract Wireless Sensor Network comprises many small sensors that gather data from a
specific region and send it to the Base Station (BS) through radio waves. Area monitoring …

[Purpose] The Internet of Things (IoT) has grown rapidly in the past few years and billions of
devices are connected to the IoT network for collecting and sharing data globally for various …

The majority of human deaths and injuries are caused by traffic accidents. A million people
worldwide die each year due to traffic accident injuries, consistent with the World Health …

In a typical Wireless Sensor Network (WSN), thousands of sensor nodes can be distributed
in the environment. Then, each sensor node transmits its detected data to the base station …

WSNs are now widely used for information gathering and transmission using WSN. Due to
its low cost and simple communication, this type of network is widely used in many …

This paper proposes a machine-learning model for earthquake prediction. Earthquakes are
complex and unpredictable natural phenomena, making it challenging to predict them …

Due to their diverse applicability, sensor networks have gained major research attention
these days. However, the design and implementation of sensor networks is also prone to …

Deep learning approaches rely on a wide-scale labeled dataset to attain a high level of
performance. Although labeled data is more difficult and costly to access in some …

Computer vision researchers and decision-makers have struggled to understand how deep
neural networks (DNNs) accomplish image classification tasks and interpret their results …

Wireless Sensor Networks (WSN) are deployed on a large scale and require protection from
malicious energy drainage attacks, particularly those directed at the routing layer. The …