Deep learning models were developed to predict agricultural land suitability and soil quality for precision agriculture. TabTransformer achieved the highest accuracy (97.40%) on …
Soft computing covers fuzzy sets, artificial neural networks, probabilistic reasoning, genetic algorithms, and combined approaches for computing applications.
Covers AI concepts, knowledge representation, reasoning, organization, perception, knowledge-based systems, and basic machine learning algorithms.
This work uses Hidden Markov Models (HMM) to predict next-day stock prices based on historical data, focusing on fractional price changes and intraday highs and lows. The Maximum a …
