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 …

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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 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 …

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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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A Comprehensive Review of Low-Cost Big Data Clusters Using Single Board Computers Architectures, Performance, and Applications

The explosive increase in data generation has resulted in an unprecedented need for the availability of scalable and cost-effective big data processing solutions. Although traditional high-performance computing clusters have rich functionality, the energy and cost requirements are high, which inhibits the ability of education facilities, small research groups, and organizations with limited resources to adopt …

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Joint Beamforming and Phase Shift Optimization in IRS-Aided NOMA Communications in 6G Networks

The paper explores the joint optimization of beamforming and phase shifts in Intelligent Reflecting Surface (IRS)-aided Non-Orthogonal Multiple Access (NOMA) systems within the context of 6G networks. We propose a novel algorithm that optimizes the beamforming vectors at the base station (BS) and the phase shifts at the IRS to maximize the sum rate of …

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