In overall world the major issues now days are dumping of waste materials. The dumping of waste material in environment causes harmful disease and pollutes the surrounding areas. This research aims to employ industrial waste materials like waste foundry sand (8 %, 16 %, and 24 %) and lime (3 %, 6 %,...

The present study delves into an eco-friendly and scalable method for creating zinc oxide (ZnO) nanoparticles using extract from Piper betle leaves. By harnessing the natural bio-reductive and capping abilities of the phytochemicals found in P. betle, the ZnO nanoparticles formed a hexagonal wurtzit...

This study focuses on the green synthesis of iron oxide (Fe2O3) nanoparticles using guava leaf extract as a reducing agent. The methodology involves the extraction of guava leaves to create an aqueous reagent solution, followed by the synthesis of Fe2O3 nanoparticles through a series of processes in...

Brain tumors pose a serious threat to global health, making accurate and early detection essential for effective treatment planning. While Magnetic Resonance Imaging (MRI) is widely used for diagnosis, manual interpretation is time-consuming and subject to error. This has prompted increasing use of...

In this article, we mainly develop a new two-grid Crank-Nicolson (CN) mixed finite element (FE) (TGCNMFE) method for the convective FitzHugh-Nagumo equation. For the purpose, a new time semi-discrete CN mixed (TSDCNM) scheme is created, and the existence, steadiness, and estimates of errors for the...

The concept of an Internet of Drones (IoD) is becoming increasingly important in various domains, including surveillance and logistics. Effective communication between the interconnected systems is the essence of the Internet of Drones, however, due to the resource constraints of drones and the dyna...

Traffic flow prediction is a critical component of Intelligent Transportation Systems (ITS) and smart city infrastructures. This survey paper provides a comprehensive analysis of recent advancements in deep learning-based approaches for traffic flow prediction, focusing on spatiotemporal correlation...

Part-of-speech (POS) tagging—the automatic assignment of grammatical categories to every token in a text corpus—is a foundational preprocessing step for AI-driven language applications such as machine translation, sentiment analysis, and information retrieval. For morphologically complex, low-resour...

This study developed a machine learning model for early risk stratification of Down syndrome by integrating maternal serum biomarkers and ultrasound measurements. A retrospective multicentre dataset was used, including maternal age, AFP, HCG, INHIBIN-A, and ultrasound parameters (NT, CRL). After imp...

This study addresses two key issues in Chinese language education: overly abstract cultural inheritance and formulaic thinking training. Using the PISA framework, we analyze classroom culture strategies from OECD countries. Through cross-country comparisons, we find that Japan combines festival diet...