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 multiple effect industrial juice evaporator using an Adaptive Neuro Fuzzy Inference System (ANFIS). Traditional control schemes like PID controllers and AI models often struggle to handle the nonlinearities, long delays, and coupling effects in evaporation processes, leading to suboptimal …
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 presents an algorithm for automated crack severity assessment in simply supported bridge beams using UAV-based video analysis. The proposed method integrates deep learning for crack detection with image processing techniques to measure crack dimensions and introduces a novel severity metric …
Sentiment Analyzer Model for Sinhala to English Translation
Most of the Natural Language Processing (NLP) techniques have been evolved to work with the English language only and most other languages including Sinhala are poorly addressed. The given paper constitutes a model of sentiment analysis of the Sinhala language. The model is built on a Convolutional Neural Network (CNN), trained on a special dataset …
Sentiment Analyzer Model for Sinhala to English TranslationRead More
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 altitude during sharp turns, quick climbs and descents, high-G maneuvers, and aerobatic sequences that involve significant attitude changes and nonlinear aerodynamics. This review looks at the latest control …
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, and textual data via behavioral cues tend to be efficient when the correct hypothesis is stated in the context of the Five Factor Model (OCEAN)or by deciphering benchmarks (e.g., the …
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