Dayananda Sagar College of Engineering

Performance evaluation of an indirect solar dryer with hybrid thermal retention elements for tomatoes

Tomatoes are widely used in Indian diets but its perishable nature restricts long term storage in fresh form. This study presents the development and performance comparison of an indirect solar dryer with pebble-based and hybrid pebble-paraffin wax Thermal Retention Elements (TRE...

Structure–property correlation in a creatininium-based nonlinear optical crystal: experimental and DFT analysis

The nonlinear optical material Creatininium hydrochloride (CTHCl) was successfully synthesized as a single crystal by solvent evaporation at ambient temperature, as confirmed by XRD analysis. To deepen our understanding of the molecule’s intrinsic properties, quantum-chemical cal...

Machine learning-based carbon intensity estimation in smart grids with behind-the-meter distributed energy resources: A comprehensive review and future perspectives

The rapid transition toward low-carbon energy systems has intensified the need for accurate carbon intensity (CI) estimation at high temporal resolutions. The CI estimation is intended to support carbon-aware energy management along with decarbonization strategies. Conventional a...

Experimental, finite element and machine learning based investigation of adhesive thickness on tensile strength of 3D printed PLA–CF composite lap joints

Additive manufacturing enables the fabrication of lightweight composite structures with improved mechanical performance and design flexibility. In fused deposition modelling, carbon fibre reinforced polylactic acid (PLA–CF) has attracted attention because of its higher stiffness...

Modeling and Forecasting Influenza Outbreaks: A Robust Laplace-ARDL Framework vs. Deep Learning LSTM for Epidemiological Surveillance

Accurate forecasts of seasonal influenza are imperative to successfully manage public health resources. However, epidemiological time series data often show significant spiky volatility along with heavy-tailed distributions that do not satisfy the normality assumption required by...