Procedural generation is a big part of game design these days. Usually you generate your map, and [Fractal Philosophy] has ...

Priya Ranjan works at the intersection of computational biology and bioinformatics, focusing on plant-microbe interactions, ...

In today’s digital era, financial institutions face unprecedented challenges in safeguarding their assets and customer information. With cyberattacks evolving both ...

PicEWS outperforms current clinical modelling approaches to predict cardiovascular deterioration. The proposed data processing pipeline and machine learning method offer a clinically applicable ...

Machine learning has become an integral part of many commercial applications and research projects, but this field is not exclusive to large companies with extensive research teams. If you use Python, ...

Data collection is the process of gathering and measuring information used for research. Collecting data is one of the most important steps in the research process, and is part of all disciplines ...

In this paper, we introduce an architecture to collect, extend, and select flow features for traffic classification in Open Flow-based networks. The main goal of our solution is to offer an extensive ...

This method achieves an 84.10% classification accuracy, surpassing traditional supervised learning by 10% and outperforming supervised contrastive learning by more than 40%, demonstrating the positive ...