Murali Mohana Krishna Dandu has made extensive contributions to Fortune 500 companies like Walmart, Wayfair, Home Depot, ...

In the ever-growing field of machine learning, one of the most significant challenges is making complex models interpretable and accessible. Enter AutoXplainAI, an innovative framework developed by ...

Run 🤗 Transformers directly in your browser, with no need for a server! Transformers.js is designed to be functionally equivalent to Hugging Face's transformers python library, meaning you can run ...

It can be relatively cheap to gather a lot of bio-signal data. To teach a machine-learning algorithm to find a relationship between bio-signals and health outcomes, however, you need to teach the ...

Workload Discovery on AWS is a solution to visualize AWS Cloud workloads. With it you can build, customize, and share architecture diagrams of your workloads based on live data from AWS. The solution ...

To address this issue, this paper proposes a radar system-agnostic learning architecture for HAR. The framework enhances HAR performance by employing adversarial training of the Gradient Reversal ...

Deep Learning (DL), particularly Convolutional Neural Networks ... In this work, a novel approach combining a transformerbased Swin-Unet architecture with seasonal synthesized spatiotemporal images ...