To address the current issue that the smart logistics course focuses heavily on hardware introduction while lacking practical training in operations research optimization and intelligent decision-making, this paper constructs a practical teaching system that integrates operations research and intell...

Skin lesion classification is critical in dermatological diagnosis, where early and accurate identification of malignant lesions can significantly improve patient outcomes. Deep learning approaches, particularly transfer learning with pre-trained CNNs, have demonstrated remarkable performance in aut...

This paper presents an experimental comparative analysis of electromechanical, static, and microprocessor-based protective relays using the secondary injection testing method. The study evaluates key performance indicators, including pickup current, dropout current, and operating time, under control...

This article investigates the finite-time boundedness (FTB) problem for a class of observer-based discrete linear time-varying networked control systems (DLTNCSs). The interval matrix method (IMM) is adopted to handle the bounded time-varying coefficient via an uncertain convex-hull representation,...

Petroleum kerosene (SRK) and its blends with the bio-components palm oil mill effluent (POME) and cardanol in amount of 2 and 5\% were hydrotreated on commercial Co-Mo catalyst in a laboratory trickle bed reactor at temperature of 290°C, liquid hourly space velocity (LHSV) of 1.28 h$^{-1}$, total pr...

Early recognition of maize leaf disorders and applying precautionary measures on time may help to increase the yield and quality. This study introduces an architecture for the recognition and categorization of maize leaf diseases based on the deep Inception-v3 and maximum value-based color features....

This perspective introduces the range of ethical concerns entailed by the widespread adoption of AI, particularly as they impact human health. It begins by (1) illustrating risks associated with all large-scale AI systems, then moves to (2) corporate and governmental applications of AI that affect h...

Blockchain technology offers transformative potential across distributed computing domains; however, dominant consensus mechanisms such as Proof of Work (PoW) impose severe energy and carbon costs, and existing research addresses only isolated components—consensus, storage, or sharding—rather than t...

Up to date technologies, created by humans and utilizing electromagnetic fields (EMFs), present both anticipated benefits and undesirable side effects. These effects can influence the living tissues of all exposed biodiversity, in accordance with the "One Health" principle. The operation of modern n...

This paper introduces a course-specific agentic retrieval-augmented generation (RAG) chatbot developed to support Information Technology students at Hai Phong University. The proposed system addresses the limitations of static FAQ bots, which are unable to manage open-ended academic tasks, and model...