The proliferation of dApps is increasing the attack surface for exploitable vulnerabilities in smart contracts, and thus there is a need for verifiable detection methodologies. The Random Forest ...

This framework provides a comprehensive set of tools and utilities for implementing and experimenting with Extreme Learning Machines using Python and TensorFlow. ELMs are a type of machine learning ...

datacleaner works with data in pandas DataFrames. datacleaner is not magic, and it won't take an unorganized blob of text and automagically parse it out for you. What datacleaner will do is save you a ...

Road traffic accidents are one of the global safety and socioeconomic challenges. According to WHO (2024), it has caused over 1.19 million annual fatalities. It is also projected to cause economic ...

At the end of it, it comes down to not only the user's preference but also the use-case. Mint has many advantages, being easy-to-use, low-powered, accessible and easily installable. However, it does ...

This research investigates deep learning-based approach for defect detection in the steel production using Severstal steel dataset. The developed system integrates DenseNet121 for classification and ...