Scientific Research Publishing

A Lightweight Self-Supervised Representation Learning Framework for Depression Risk Profiling from Synthetic Daily Behavioural Trajectories ()

A Lightweight Self-Supervised Representation Learning Framework for Depression Risk Profiling from Synthetic Daily Behavioural Trajectories ...
Greek Reporter

The Algorithm That Finds Lost Civilizations: How AI Locates Ancient Sites

An algorithm that finds lost civilizations is helping archaeologists use AI to predict where ancient sites may still be hidden.
PV Tech

AI in PV plant operations: the road ahead

Shallem, Greg Ravikovich and Eitan Har-Shoshanim examine how AI addresses the challenge of data overload in solar PV.
Scientific Research Publishing

The Grover Dilemma and Three Fundamental Barriers to Oracle-Based Quantum Search Algorithms ()

Those that solve artificially simplified problems where quantum advantage is meaningless. Those that provide no genuine quantum advantage when all costs are properly accounted for. This critique is ...
IEEE

Comparative Analysis of Supervised Machine Learning Algorithms

Abstract: Data mining can be described as a procedure that extracts valuable and informative data from huge amounts of data and then describes the procedure to discover the patterns and meanings ...
IEEE

ESP32 based Solar Irradiance Tracking and Prediction using Different Supervised Machine Learning Algorithms

Abstract: Solar energy is one of the most promising clean energy sources for the future, if the prediction of radiation from the sun is done accurately. It is crucial for enhancing solar power ...
Phys.org

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 collisions at the LHC. This new approach can reconstruct collisions more quickly ...