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 ...
Open Heart

Enhanced cardiovascular disease risk prediction using integrated machine learning models: a study from the UK Biobank cohort

Objective Cardiovascular diseases (CVD) remain the leading cause of mortality globally, necessitating early risk ...
BMJ Open

Optimising internet-based cognitive–behavioural therapy programme to prevent perinatal depression: a unified protocol for two harmonised randomised controlled …

Introduction Perinatal depression poses substantial risks to both mothers and their offspring. Given its chronic and ...
AZoRobotics on MSN

Neuron-Driven Control Could Redefine How Soft Robots Handle the Unexpected

This study presents a bio-inspired control framework for soft robots, enhancing tracking accuracy by over 44% under disturbances while maintaining stability.

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 ...
Tech Xplore on MSN

Pinpointing direction in noisy 2D data: New algorithm could improve imaging, AI, particle research and more

A University of Hawaiʻi at Mānoa student-led team has developed a new algorithm to help scientists determine direction in ...
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 ...

Quantum reservoir computing peaks at the edge of many-body chaos, study suggests

Reservoir computing is a promising machine learning-based approach for the analysis of data that changes over time, such as ...