BDSIC

Nowadays, the Internet of Things (IoT) has become an integral part of various industries and everyday life. However, IoT devices are vulnerable to distributed denial-of-service (DDoS) attacks, which can disrupt their normal functioning by overwhelming ...

A certificateless signature with message linkages (CL-SML) is a technique of asymmetric key systems, which combines the traditional digital signature schemes with message linkages and the certificateless public key systems. A certificateless ...

Diabetes mellitus is a significant global health issue that affects millions of people. As a result, it is crucial to prioritize preventative and management strategies for this disease. In this paper, an intelligent cyber-physical system is suggested ...

In recent years, nucleotide sequencing has become increasingly instrumental in both research and clinical settings. This has led to explosive growth in sequencing data produced worldwide along with an increase in complex analysis algorithms. As the ...

In recent years, with the prevalence of Artificial Intelligence (AI), the interpretability of AI outputs has become a significant issue. Especially the interpretability of large language models (LLMs), including ChatGPT, has emerged as a major challenge. ...

In the traditional teaching mode, it is hard for oral English teaching to produce good results at various levels, and it is even harder for oral English teachers to accurately control students' learning in a one-to-dozen teaching mode, especially in ...

Determining the best shortest path between locations in intelligent transportation systems is crucial but challenging. Traditional approaches, which assume fixed travel times, fall short of accurately reflecting dynamic factors such as weather, time, ...

A province is faced with a severe population situation, and the analysis and accurate prediction of population data can help the government of a province to formulate correct policies and strategies, to allocate labor and resources more reasonably, and ...

In the digital age, the use of data-driven approaches to streamline processing and improve assessment has gained popularity. This paper introduces a data-driven method for assessing water resources carrying capacity (WRCC), aiming to overcome challenges ...

To reduce the injury and fatality of the special group of pedestrians in the rapid traffic flow, engineers can utilize artificial intelligence to detect human bodies and postures. The design enables identification of the existence of pedestrians in the ...

In the field of semi-supervised human action recognition, the effective utilization of both labeled and unlabeled data remains a central and challenging pursuit. To address this issue, we present an innovative framework (DSCF-AEC) that combines a Dual-...

This study explores the performance differences among different deep learning models, including VGG19, VGG16, and a basic CNN, in the context of image style transfer. Style transfer is an image processing technique aimed at transferring the artistic ...