Hello World

Below is a snapshot
of my research
in
emerging technologies

About

Ansh Mittal is a tech-driven researcher and developer based in Delhi, passionate about bridging the gap between legacy technologies and modern innovations. With a keen interest in coding, data science, and emerging technologies, Ansh always explores new ideas, reads, and engages in collaborative learning. Ansh is actively involved in various non-profit organizations and believes in leveraging technology for social impact.

Have a look

Research Publications

Optimizing MySQL Performance: Essential Techniques, Resources, and Best Practices

This research provides an overview of MySQL and its architecture, explores the various methods and tools used to manage and organize databases, and discusses the benefits of these techniques and how they impact MySQL performance. Reactive systems, such as AutoAdmin, focus on historical workloads, while proactive systems, like QB5000 and DQM, predict future workloads for fully automated optimization.

Deep Learning Analysis of Respiratory Health in India: The Role of Air Quality

In this study, we explore how machine learning can help track air pollution more effectively. Our research finds that the LSTM (Long Short-Term Memory) model performs exceptionally well in predicting pollution levels compared to earlier approaches. Interestingly, when dealing with time-series data, CNNs (Convolutional Neural Networks) have proven to be even more effective than traditional RNNs (Recurrent Neural Networks).