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 ...
IEEE

Parallel Placement of Virtualized Network Functions via Federated Deep Reinforcement Learning

Abstract: Network Function Virtualization (NFV) introduces a new network architecture that offers different network services flexibly and dynamically in the form of Service Function Chains (SFCs), ...
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.
TechAnnouncer

Top-Rated Free Python Course Recommendations from Reddit

Corey Schafer’s YouTube channel is a go-to for clear, in-depth video tutorials covering a wide range of Python topics. The ...
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 ...
InfoWorld

Reactive state management with JavaScript Signals

Learn how frameworks like Solid, Svelte, and Angular are using the Signals pattern to deliver reactive state without the ...
TechAnnouncer

Discover the Best Python Book PDF for Your Learning Journey

Finding the right book can make a big difference, especially when you’re just starting out or trying to get better. We’ve ...
North Penn Now

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

An MDP-Driven Learning Function Selection Strategy for Kriging-Based Structural Reliability Analysis

Abstract: Active learning Kriging is widely used in structural reliability analysis for its computational efficiency and accuracy. While numerous learning functions exist to accelerate Kriging ...
GitHub

CellGO: A novel deep learning-based framework and webserver for cell type-specific gene function interpretation

1)CellGO is able to predict cell type-specific pathways activated by a single gene. 2)CellGO is able to generate a four-level hierarchy of biological insights for a gene set: 1.CellGO can select cell ...