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Derivation of experimental debonding outputs for FRP-strengthened concrete samples through a fracture energy-based closed form approach (2025)
Journal Article

Numerous bond-slip models have been proposed in the literature to elaborate on the behaviour between concrete and FRP. However, in most of these bond-slip models, the interfacial debonding fracture energy of the bond is not explicit. Furthermore, the... Read More about Derivation of experimental debonding outputs for FRP-strengthened concrete samples through a fracture energy-based closed form approach.

A Novel Topic Modelling Framework for Automated Surveying of Computer Vision Research in Prostate Cancer Detection (2025)
Journal Article

Retrieving the relevant information or material makes a big difference in the medical field because it is necessary to acquire updates on recent findings and inferences so that the practitioners can understand the state-of-the-art topics. Thus, extra... Read More about A Novel Topic Modelling Framework for Automated Surveying of Computer Vision Research in Prostate Cancer Detection.

Electro-Osmotic Peristaltic Streaming Flow of a Fractional Second-Grade Viscoelastic Fluid in a Tube with Permeable Walls Containing Single and Multi-Wall Carbon Nanotubes (2025)
Journal Article

This paper develops a mathematical model to analyse the behaviour of a viscoelastic nanofluid flowing through a radially symmetric cylindrical duct with a permeable wall, incorporating electro-osmotic effects. The model employs a fractional viscoelas... Read More about Electro-Osmotic Peristaltic Streaming Flow of a Fractional Second-Grade Viscoelastic Fluid in a Tube with Permeable Walls Containing Single and Multi-Wall Carbon Nanotubes.

A Multifaceted Approach Assessing Heavy Metal Contamination and Health Risk in Tea Garden Soils: Insight Through Hot-Spot Analysis and Machine Learning Techniques (2025)
Journal Article

Tea is globally esteemed for its economic worth and health benefits, yet heavy metal (HMs) pollution in tea garden soil poses a severe threat to the environment. Implementing multimodal statistical approach, the current study has provided insight int... Read More about A Multifaceted Approach Assessing Heavy Metal Contamination and Health Risk in Tea Garden Soils: Insight Through Hot-Spot Analysis and Machine Learning Techniques.