GitHub

"Re-implementation of selected PolSARpro functions in Python, following the scientific recommendations of PolInSAR 2021 (Work In Progress)."

Source code Documentation Sample data — The original data used for this product have been supplied by JAXA’s ALOS-2 sample product. These instructions are intended for contributors or advanced users ...
IEEE

Deep Learning Based Proactive Anomaly Detection for 5G Core Control Plane Network Function Interactions

Abstract: The Service-Based Architecture (SBA) introduced by 3GPP allows the control plane of 5G Core Network (CN) to function through a set of interconnected Network Functions (NFs), which offers ...
Scientific Research Publishing

A Hybrid Machine Learning Framework for Early Diabetes Prediction in Sierra Leone Using Feature Selection and Soft-Voting Ensemble ()

A Hybrid Machine Learning Framework for Early Diabetes Prediction in Sierra Leone Using Feature Selection and Soft-Voting Ensemble ...
Smithsonian Magazine

Lifelong Learning Might Lower Your Risk of Developing Alzheimer’s Disease, a New Study Suggests

While the research does not point to a direct, causal link, it hints that activities like reading, writing and playing games ...
Dot Physics on MSN

Python physics tutorial: Non-trivial 1D square wells explained

Explore non-trivial 1D square wells in Python with this detailed physics tutorial! 🐍⚛️ Learn how to model quantum systems, analyze energy levels, and visualize wave functions using Python simulations ...
Dot Physics on MSN

Learn how to use Python functions for projectile motion simulations

Master projectile motion simulations using Python functions! 🐍⚡ This tutorial walks you through coding techniques to model trajectories, calculate distances, and visualize motion in real time.
GitHub

TfELM : Extreme Learning Machines Framework with Python and TensorFlow

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 ...
northpennnow

Machine Learning Using Python: A Complete Learning Path With Practical Projects

Machine learning is an essential component of artificial intelligence. Whether it’s powering recommendation engines, fraud detection systems, self-driving cars, generative AI, or any of the countless ...
IEEE

Learning Expert-Level Racing Strategies via Scheduled Cost Functions in Model Predictive Control

Abstract: In racing sports, driving strategies necessitate meticulous control and optimal utilization of vehicle dynamics. Model predictive control (MPC) has emerged as an effective approach for ...