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Navigating Healthcare Insights: A Birds Eye View of Explainability with Knowledge Graphs
Knowledge graphs (KGs) are gaining prominence in Healthcare AI, especially in drug discovery and pharmaceutical research as they provide a structured way to integrate diverse information sources, enhancing AI system interpretability.
On Continuous Integration / Continuous Delivery for Automated Deployment of Machine Learning Models using MLOps
Model deployment in machine learning has emerged as an intriguing field of research in recent years.
Towards a Multimodal System for Precision Agriculture using IoT and Machine Learning
Precision agriculture system is an arising idea that refers to overseeing farms utilizing current information and communication technologies to improve the quantity and quality of yields while advancing the human work required.
Prediction of lung and colon cancer through analysis of histopathological images by utilizing Pre-trained CNN models with visualization of class activation and saliency maps
This paper intends to utilize and alter the current pre-trained CNN-based model to identify lung and colon cancer utilizing histopathological images with better augmentation techniques.
