This paper explores the transformative integration of deep learning applications in the
deployment of Wireless Sensor Networks (WSNs). As WSNs continue to play a pivotal role in …

The acquisition, processing, mining, and visualization of sensory data for knowledge
discovery and decision support has recently been a popular area of research and …

Object Classification in Remote Sensing Imagery holds paramount importance for extracting
meaningful insights from complex aerial scenes. Conventional methods encounter …

Abstract In Industrial Internet of Things (IIoT) production and operation processes, a
substantial amount of video data is generated, often containing sensitive personal and …

Analysis of hyperspectral imagery is a critical aspect of remote sensing in precision
agriculture, for which effective dimensionality reduction (DR) strategies for the inherent …

Activity recognition from multiple sensors is a promising research area with various
applications for remote human activity tracking in surveillance systems. Human activity …

With the advancement of 3D sensing technologies, point clouds are gradually becoming the
main type of data representation in applications such as autonomous driving, robotics, and …

In the field of traffic surveillance systems, where effective traffic management and safety are
the primary concerns, vehicle detection and tracking play an important role. Low brightness …

Link prediction, a critical pursuit in complex networks research, revolves around the
predictive understanding of connections between nodes. Our novel approach introduces a …

Satellite data's reliability, uniformity, and global scanning capabilities have revolutionized
agricultural monitoring and crop management. However, the presence of clouds in satellite …