Firms are using blockchain technology to prevent fraudulent activities through consensus
mechanisms and help identify data tampering through its underlying characteristics, such as …

It is extremely difficult to track down the original source of sensitive data from a variety of
sources in the cloud during transit and processing. For instance, data provenance, which …

Background Learning from a few samples to automatically recognize the plant leaf diseases
is an attractive and promising study to protect the agricultural yield and quality. The existing …

The tourism and hospitality sector's inequitable environment demands an unassailable and
disruptive technology that optimizes its operational efficiencies. Thus, this paper aims to …

Due to the pandemic, there has been an increase in the use of dietary supplements to boost
the body's immune system. A demand–supply mismatch exists as a result of the unexpected …

The ongoing data explosion introduced unprecedented challenges to the information
security of communication networks. As images are one of the most commonly used …

Targeted advertising has transformed the marketing landscape for a wide variety of
businesses, by creating new opportunities for advertisers to reach prospective customers by …

In the development of traditional supply-chain finance, the information asymmetry of all
parties in the supply chain has become the primary problem hindering its development …

Autonomous underwater vehicle (AUV) shows great potential in the Internet of Underwater
Things (IoUT) system, in which the path planning algorithm plays a fundamental role …

Few-shot imbalanced classification tasks are commonly faced in the real-world applications
due to the unbalanced data distribution and few samples of rare classes. As known, the …