In spite of the insight commonality may have concerning agrarian practice, fact is that
nowadays agricultural science diligence is accurate, precise, data-driven, and vigorous than …

Big data is of great importance in manufacturing, since knowing the diverse origin of
underlying causes of problems is completely necessary for managing continuous …

Foundation models are used to train a broad system of general data to build adaptations to
new bottlenecks. Typically, they contain hundreds of billions of hyperparameters that have …

In this paper, we propose a federated learning-based intrusion detection system, named
FELIDS, for securing agricultural-IoT infrastructures. Specifically, the FELIDS system protects …

Floods result in substantial damage throughout the world every year. Accurate predictions of
floods can significantly alleviate casualties and property losses. However, due to the …

With the rapid advancement of Internet of Things (IoT) devices, a variety of IoT applications
that require a real-time response and low latency have emerged. Fog computing has …

Agricultural metaverse (AgriVerse) aims to optimize the production chain by saving costs,
increasing efficiencies, and breaking information silos, in order to achieve sustainable …

In future smart cities supported by cyber-physical social intelligence, autonomous behavioral
decision for vehicular agents is going to become a general demand. Despite much progress …

Depth cue has proven to be useful information in the indoor scene understanding of RGB-D
images for providing a geometric counterpart to RGB representation. However, because of …

Human and social factors are essential to transportation systems, yet top-down management
fails to consider them sufficiently. Consequently, management strategies are not tailored to …