Kalasalingam Academy of Research and Education

A smart agriculture-oriented cross-attention multiscale CNN for sugarcane disease diagnosis

Sugarcane leaf diseases can adversely affect crop health and yield, making timely disease identification important for smart agriculture. Manual inspection of leaf diseases is time-consuming and requires expert knowledge, particularly when large cultivation areas need to be monit...

Analysis of thermal characteristics of seaweeds, Spatoglossum asperum and Ulva rigida for utilisation as a feedstock for biochar production

Biochar is a carbon-rich, porous material produced from biomass through thermochemical processes, with properties largely determined by the feedstock. This study evaluates the thermal characteristics of two locally abundant seaweeds, Spatoglossum asperum and Ulva rigida, sourced...

Fuzzy MICMAC-Based Study of Barriers to Industry 4.0 and Lean Six Sigma Integration in Indian Smart Manufacturing

ABSTRACT The integration of Industry 4.0 (I4.0) technologies with Lean Six Sigma (LSS) has emerged as a promising approach for enhancing operational efficiency, flexibility, and resilience in modern manufacturing systems. Despite its potential benefits, organizations continue to...

PINN-based Oka reinforced modelling and prediction of erosion wear in Al-Mg-MoS₂ powder metallurgy composites

The solid-particle erosion is a crucial degrading mechanism in engineering components, although dependable predictions are challenging, especially when experimental data is limited. This analysis explores the erosion characteristics of Al–Mg–MoS₂ powder-metallurgy composites and...

EDDE-MT-Based Detection-Record Integrity and DV-QKD with Side-Channel Monitoring Using DVQMTC and E-TeLU-Bi-LSTM for Securing CPS

Discrete-Variable Quantum Key Distribution (DV-QKD) provides a mechanism for establishing secret keys between legitimate parties using quantum-state transmission and authenticated classical post-processing. In this work, the underlying quantum layer follows a biased-basis decoy-s...

Integrated phytoremediation and MgO Si HAP biochar for heavy metal remediation and maize productivity

Heavy metal contamination in agricultural soils limits crop productivity and presents food safety risks. This study explores an integrated approach combining phytoremediation (PHY) and biochar amendments, specifically a Magnesium Oxide–Silicon–Hydroxyapatite (MOSi-HAP) biochar sy...

Quantitative Structure Activity Relationship (QSAR) in Drug Design – A Review

AbstractQuantitative Structure–Activity Relationship (QSAR) modeling has emerged as a pivotalcomputational approach in modern drug discovery, enabling the prediction of biologicalactivity based on molecular structure. By correlating physicochemical properties withpharmacological...

Integration of AI-based load forecasting and hybrid metaheuristic optimization for sustainable capacity expansion planning in decarbonized solar energy systems

With progressive integration of renewable generation and energy storage techniques, it is crucial to examine the modelling techniques and assumptions of capacity expansion planning (CEP) for power grids dominated by thermal-based systems. The proposed framework integrates artific...

Profiling the Invisible Insider: A UEBA-Based Machine Learning Framework for Low-and-Slow Data Exfiltration Detection

Low-and-slow data exfiltration by malicious insiders remains among the most operationally difficult threat classes to detect: the behavior is unremarkable in any individual session and becomes recognizable only across weeks of otherwise routine activity. This paper presents a UEB...