From ChatGPT crafting emails, to AI systems recommending TV shows and even helping diagnose disease, the presence of machine intelligence in everyday life is no longer science fiction.

INTRODUCTION - Over the past few decades, the importance of data has grown dramatically. Deemed “the new oil”1 in 2006, today data ...

Companies of all sorts run on information to handle services like news platforms, e-commerce and financial markets, and ...

GATE DA Syllabus 2026: The candidates who are preparing for the GATE 2026 Data Science & Artificial Intelligence (DA) exam must go through the GATE Data Science & Artificial Intelligence syllabus. IIT ...

Abstract: This survey compiles insights and describes datasets and algorithms for applications based on remote sensing. The goal of this review is twofold: datasets review for particular groups of ...

Welcome to the Data Structures and Algorithms Repository! My aim for this project is to serve as a comprehensive collection of problems and solutions implemented in Python, aimed at mastering ...

Abstract: Dynamic3DModeler models three-dimensional spatial data completely. It employs cutting-edge data formats, algorithms, and uncertainty modeling. This four-step strategy addresses changing ...

The use of machine learning algorithms to identify characteristics in Distributed Denial of Service (DDoS) attacks has emerged as a powerful approach in cybersecurity. DDoS attacks, which aim to ...

Hyperspectral imaging is gaining widespread use in the resource sector, with applications in mineral exploration, geometallurgy and mine mapping. However, the sheer size of many hyperspectral datasets ...