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Found 4 papers, 1 papers with code
Intelligent Agricultural Management Considering N$_2$O Emission and Climate Variability with Uncertainties
This study examines how artificial intelligence (AI), especially Reinforcement Learning (RL), can be used in farming to boost crop yields, fine-tune nitrogen use and watering, and reduce nitrate runoff and greenhouse gases, focusing on Nitrous Oxide (N$_2$O) emissions from soil.
f-FERM: A Scalable Framework for Robust Fair Empirical Risk Minimization
While numerous constraints and regularization terms have been proposed in the literature to promote fairness in machine learning tasks, most of these methods are not amenable to stochastic optimization due to the complex and nonlinear structure of constraints and regularizers.
Topic Modeling Based Extractive Text Summarization
We utilize the lesser used and challenging WikiHow dataset in our approach to text summarization.
Abstractive Text Summarization
Extractive Text Summarization
Gandhipedia: A one-stop AI-enabled portal for browsing Gandhian literature, life-events and his social network
We introduce an AI-enabled portal that presents an excellent visualization of Mahatma Gandhi's life events by constructing temporal and spatial social networks from the Gandhian literature.
