Tech Xplore

Study finds 'dosed' nonlinearity can beat linear and fully nonlinear AI

Umbrella or sun cap? Buy or sell stocks? When it comes to questions like these, many people today rely on AI-supported recommendations. Chatbots such as ChatGPT, AI-driven weather forecasts, and ...
TMCnet

Data Normalization vs. Standardization: What's the Difference and When to Use Each

Data Normalization vs. Standardization is one of the most foundational yet often misunderstood topics in machine learning and data preprocessing. If you''ve ever built a predictive model, worked on a ...

Machine learning algorithm fully reconstructs LHC particle collisions

The CMS Collaboration has shown, for the first time, that machine learning can be used to fully reconstruct particle ...
IEEE

Comparative Analysis of Flood Prediction Using Linear Regression

Abstract: Flood prediction as we known is a important role in reducing the impacts of effective disasters . This paper says that a linear regression-based model is designed for forecasting flood ...
Frontiers

Automated tumor regression grade assessment and survival prediction in esophageal cancer via weakly supervised multiple instance learning

Introduction: Esophageal cancer remains a major global health burden and is among the leading causes of cancer-related deaths. Accurate evaluation of tumor regression grade (TRG) after neoadjuvant ...
Hosted on MSN

The hidden formula distinguishing top achievers

60 years ago, a record blizzard killed 200 people in the Northeast Enormous freshwater reservoir discovered off the East Coast may be 20,000 years old and big enough to supply NYC for 800 years ...
IEEE

Neural Linear Oscillator Networks and their Application to Soft Robots Model Learning and Control

Abstract: Recent advances in machine learning have begun to embed oscillatory network principles within neural architectures, aiming to enhance computational efficiency and robustness in time-series ...