Vietnam's Electric Vehicle (EV) market is expanding rapidly, yet public charging infrastructure development lags significantly, exhibiting pronounced spatial imbalance in dense urban cores. This study addresses this gap through an integrated demand forecasting and location optimization framework for...

This paper investigates prescribed performance control (PPC) using an advanced barrier function (ABF) based adaptive super-twisting control scheme with non-fragility. The specialty of the proposed scheme is that it removes the error transformation process, and therefore simplifies the design of PPC....

This study aims to explore the intellectual structure and thematic trends of agritourism research through advanced text mining and topic modeling techniques, addressing a significant gap by providing a quantitative synthesis of agritourism literature with a focus on how scholarly discourse has evolv...

Multilayered processes of globalization have loosened higher education’s nationalistic frameworks by embedding internationalization, a process deemed crucial for preparing students to become global citizens. The core thesis of the paper positions an internationalized curriculum as fostering a dispos...

Earthquakes pose significant risks to infrastructure and supply chains, making the timely and fair distribution of emergency relief materials crucial for reducing casualties and economic losses. This study addresses the challenge of optimizing emergency material dispatch under scenarios where distri...

In this paper, the concept of the bipolar spherical fuzzy set (BSFS) and its operations is developed. It is proposed as a generalization of fuzzy sets, bipolar fuzzy sets, picture fuzzy sets, and spherical fuzzy sets, allowing uncertain information to be handled more flexibly in the decision-making...

Sustainable Aviation Fuel is the most viable near-term strategy for decarbonizing commercial aviation. Its performance depends fundamentally on the quality of the feedstock and conversion efficiency. This paper examines the four principal ASTM-certified pathways: Hydroprocessed Esters and Fatty Acid...

As engineering systems grow in scale and complexity, the classical consecutive k-out-of-n model has evolved significantly to address the challenges of component dependence and dynamic maintenance. This paper presents a comprehensive survey of these advancements, categorized into model extensions and...

Over the last decade, Unmanned Aerial Vehicle (UAV) technology has rapidly developed by integrating AI tools and methodologies. UAVs are used across many fields, including wireless communication, logistics, agriculture, construction, security, and exploration. UAV systems are inherently complex and...

Remote Sensing (RS) data streams necessitate classification models capable of assimilating novel information without the computational burden of retraining from scratch. Although Few-Shot Incremental Learning (FSIL) offers a promising paradigm for adaptation using limited samples, existing methodolo...