Recent Publications
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 …
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Advanced Control Strategies for Altitude Maintenance in Fixed-Wing UAVs During Extreme Maneuvers – A Review
Maintaining precise altitude during aggressive maneuvers is a significant challenge for fixed-wing UAVs,particularly in high-speed flight, aerobatic maneuvers, and extreme conditions. These aircraft need to control altitudeduring sharp turns, quick climbs and descents, high-G maneuvers, and aerobatic sequences that involve significantattitude changes and nonlinear aerodynamics. This review looks at the latest control methods for altitude …
Multi-modal Personality Predictions and Fairness aware AI Techniques A Review of Methods, Bias Mitigation and Future Perspectives
Multi-modal artificial intelligence (AI) in personality forecasting can have revolutionary effects in hiring,psychological diagnosis, and anthropomorphic interaction. Deep learning architectures based on audio, visual, andtextual data via behavioral cues tend to be efficient when the correct hypothesis is stated in the context of the FiveFactor Model (OCEAN)or by deciphering benchmarks (e.g., the approach of the …
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