Research Papers

This paper explores recent advancements in Natural Language Processing (NLP) techniques for sentiment analysis, focusing on transformer-based models and their applications in social media content analysis.

This research compares various machine learning algorithms for predictive maintenance in industrial equipment, evaluating their performance in terms of accuracy, precision, and computational efficiency.

This paper presents novel approaches to optimize database performance in distributed systems, focusing on query optimization, caching strategies, and load balancing techniques.

This research examines the ethical implications of using artificial intelligence in decision-making processes, particularly in high-stakes domains such as healthcare, finance, and criminal justice.

This paper investigates transfer learning techniques for developing natural language processing models for low-resource languages, with a focus on morphologically rich languages.