University of Rajasthan

Synergistic adsorption–photocatalysis in TiO₂/activated carbon composites: optimization of p-nitrophenol degradation and application to real textile wastewater treatment

The photocatalytic degradation of persistent nitro-aromatic pollutants is often limited by poor light utilization and fast electron-hole recombination in conventional TiO 2 systems. In this work, TiO 2 /carbon composites were prepared using activated carbon (AC) and biomass-deriv...

Multi-branch deep learning architecture for improved colposcopy image classification

Cervical cancer is still the major cause of mortality among women. However, substantial variability in lesion appearance, illumination, and tissue characteristics poses significant challenges to accurate and reliable classification. In this study, we propose a novel multi-branch...

A novel optimized deep ensemble for monkeypox lesion detection using transfer learning and ABC algorithm

Monkeypox, a reemerging zoonotic disease, has become a serious global health concern that requires rapid and accurate diagnostic methods. The increasing prevalence of skin lesion images highlights the scope of automated deep learning solutions. However, current approaches face ch...

A lightweight image encryption scheme using LFSR, logistic map, and cellular automata for resource-constrained devices

In the modern era, secure image transmission is crucial for digital communication. In particular, this communication is useful in resource-constrained devices, such as Internet of Things (IoT) mechanisms and embedded systems. Conventional encryption algorithms require greater com...

Context-aware image captioning using cosine transformer attention and optimal vision transformer with improved walrus optimization algorithm

Abstract Automatic image captioning aims to acquire the learning of the correlation between the visual and the linguistic cognitive domain through the generation of descriptive captions with respect to input images. But it is affected by the semantic distance between image featur...

Adaptive neuro-fuzzy inference system-based analysis of Maxwell nanofluid flow over an exponentially expanding surface with radiation and multiple slip conditions

Abstract The present communication explores the Darcy-Forchheimer flow of Maxwell nanofluid through an exponentially expanding surface with motile microorganisms and slip conditions. This precise fluid model is employed in several industrial areas, such as polymer extrusion, ener...

Macroeconomic dynamics and financial performance of mutual fund companies: Evidence for rational investment decision

Mutual funds are vulnerable to market risk. Maintaining an investment portfolio is challenging under such conditions. This study aims to investigate the macroeconomic variables and return on asset (ROA) of mutual fund firms to examine the impact of these factors on the firm's bas...

Mapping gender and environmental sustainability in tourism research

Environmentally sustainable tourism requires integrating social inclusion, climate resilience, and environmental governance. Although gender equality is firmly embedded within global sustainability frameworks, the integration of gender perspectives into environmental sustainabili...