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Intelligent computing systems comprising microprocessor cores, memory and reconfigurable user-programmable logic represent a promising technology which is well-suited for applications such as digital signal and image pro...

The field of artificial intelligence (AI), machine learning and intelligent automation has become pervasive in our modern digital world. It extends from business and public services to environmental management and even i...

"Autonomous Intelligent Systems (AIS) integrate planning, learning, and execution in a closed loop, showing an autonomous intelligent behavior. A Learning Life Cycle (LLC) Operators, Trained Base Operators and World Inte...

Abstract Pandemics like COVID-19 have created a spreading and ever-higher healthy threat to the humans in the manufacturing system which incurs severe disruptions and complex issues to industrial networks. The intelligen...

Abstract Environment perception is one of the most critical technology of intelligent transportation systems (ITS). Motion interaction between multiple vehicles in ITS makes it important to perform multi-object tracking ...

Bin Hu,1 Wenhui Xu,1 Yongpan Huang2 1The School of Social Work, Changsha Social Work College, Hunan, 410004, People’s Republic of China; 2School of Medicine, Changsha Social Work College, Hunan, 410004, People’s Repu...

The intelligent equipment system serves as the physical carrier for the transformation of operational forms toward cognitive adaptation. To maintain functional continuity within highly uncertain and strongly adversarial ...

ABSTRACT Integrating healthcare systems with intelligent transportation networks represents a critical frontier in modern urban infrastructure, where efficient resource allocation and timely service delivery can signific...

The Macao national observation and research station for coastal ecological environment (Macao field station) played a critical role in advancing research on coastal ecological environments and climate change. Its primary...

Information systems play an ever-increasing key role in our society. In particular, data intensive applications are in constant demand and there is need of computing environments with much more intelligent capabilities t...

Self-optimizing mechatronic systems react autonomously and flexibly to changing conditions. They are capable of learning and optimize their behavior throughout their life cycle. The paradigm of self-optimization is origi...

The article analyses the process of forming the intelligent and digital maturity of Russia's regional economy in the context of the transition to the technological paradigm of Industry 5.0. It examines the key features ...

The purpose of the paper is to examine the structural and functional transformation of the digital tourism ecosystem during the transition from traditional intelligent assistants, such as LLM-based chatbots, to a new par...

Amid the convergence of technological, macroevolutionary, and demographic singularities, conventional approaches to analyzing and forecasting economic growth are increasingly losing relevance and predictive power. The su...

To address the challenges faced by kindergarten through twelfth grade (K-12) teaching laboratories in operational efficiency, safety assurance, and intelligent support, parallel intelligence was introduced, and a paralle...

BDI models are powerful tools that can play a fundamental role in implementing intelligent systems for complex business and industrial problems. Besides, it has also been recognized the benefits achieved when integratin...

En esta tesis se caracterizan los procesos de explotación de información asociados a los problemas de inteligencia de negocio: descubrimiento de reglas de comportamiento, descubrimiento de grupos, descubrimiento de atr...

Abstract Due to the complexity of substation systems and the diversity of data sources, potential inaccuracies or inconsistencies in data may compromise the accuracy of intelligent detection. To address this issue, an in...

Federated learning (FL) is a pivotal paradigm for financial institutions to collaboratively train models while preserving data privacy, yet standard frameworks are hampered by a triad of challenges: vulnerability to pois...

Intelligent tire systems (ITS) enable direct sensing of tire and road interaction using sensors mounted inside the tire, providing information that is difficult to obtain from conventional vehicle-mounted sensors. Howeve...

The perception systems for Traffic Sign Recognition (TSR) and Lane Line Recognition (LLR) are foundational pillars for the safe and effective operation of Advanced Driver-Assistance Systems (ADAS) and fully autonomous ve...

Abstract This study introduces an intelligent, large language model (LLM)–driven feedback system designed to assess and enhance students’ programming tasks through semantic comparison and pedagogically contextualized...

Terahertz (THz) waves have gained considerable attention in the rising 6G communication due to their large bandwidth. However, the cost and power consumption become the major constraints for the commercialization of 6G T...

Abstract Energy storage systems (ESSs) are increasingly critical for maintaining the stability and flexibility in power systems with rising renewable penetration. Grid‐forming (GFM) ESSs have emerged as a pivotal techn...