Recent Publications
Toward Commercial Viability: A Comprehensive Review of Organic Solar Cell Stability and Scalability
This review paper provides a general overview of Organic Solar Cells (OSCs), more precisely their instability and commercialization challenges. […] Despite significant advances made, with power conversion efficiencies (PCEs) over 20% under laboratory conditions, the biggest challenge for wide-scale commercialization remains poor device stability and scalability. […] Notably, the synergistic effect of optimizing the active …
Development and Optimization of Advanced Glazing Technologies for Solar Ponds to Enhance Power Generation
Modern buildings experience substantial energy losses through window glazing, compromising overallenergy efficiency. This study presents the design and evaluation of an advanced hybrid window system thatsimultaneously reduces thermal transmission and generates electricity. The proposed system integrates low-emissivity(low-E) coated double glazing with embedded thermoelectric generator (TEG) modules to harvest energy fromtemperature gradients across the window. The …
Development Of a Predictive Model for Evaporation Unit Based on Critical Factors
This paper presents the development and validation of a real time predictive control system for a multipleeffect industrial juice evaporator using an Adaptive Neuro Fuzzy Inference System (ANFIS). Traditional controlschemes like PID controllers and AI models often struggle to handle the nonlinearities, long delays, and couplingeffects in evaporation processes, leading to suboptimal energy usage and …
Development Of a Predictive Model for Evaporation Unit Based on Critical FactorsRead More
Algorithm for Automated Severity Assessment of Cracks in Simply Supported Bridge Beams Using UAV-Based Video Analysis
Automated inspection of concrete bridge components is crucial for timely maintenance and safety. This paper presentsan algorithm for automated crack severity assessment in simply supported bridge beams using UAV-based video analysis. Theproposed method integrates deep learning for crack detection with image processing techniques to measure crack dimensions andintroduces a novel severity metric that combines the …
Sentiment Analyzer Model for Sinhala to English Translation
Most of the Natural Language Processing (NLP) techniques have been evolved to work with the Englishlanguage only and most other languages including Sinhala are poorly addressed. The given paper constitutes a modelof sentiment analysis of the Sinhala language. The model is built on a Convolutional Neural Network (CNN), trainedon a special dataset of Sinhala social …
Sentiment Analyzer Model for Sinhala to English TranslationRead More
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