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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.
A Birds Eye View on Knowledge Graph Embeddings, Software Libraries, Applications and Challenges
In recent years, Knowledge Graph (KG) development has attracted significant researches considering the applications in web search, relation prediction, natural language processing, information retrieval, question answering to name a few.
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.
MOFit: A Framework to reduce Obesity using Machine learning and IoT
From the past few years, due to advancements in technologies, the sedentary living style in urban areas is at its peak.
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.
Evaluation of Time Series Forecasting Models for Estimation of PM2.5 Levels in Air
Air contamination in urban areas has risen consistently over the past few years.
Drug Recommendation System based on Sentiment Analysis of Drug Reviews using Machine Learning
As of late, machine learning has been valuable in numerous applications, and there is an increase in innovative work for automation.
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.
