BIOENGINEER

District-Informed Modeling Evaluated for Dengue Hospital Admission Forecasting in Bangladesh

A nationwide evaluation in Bangladesh found that bottom-up machine learning models achieved the lowest observed point error ...
Phys.org

Extreme rainfall event study demonstrates improved forecasting via physics-guided machine learning

A research team focused on the extreme rainfall event of "21·7" in Henan in 2021. By analyzing anomalous physical characteristics and understanding multi-model forecast biases, they significantly ...
Morningstar%2c Inc.

Machine Learning Can Forecast Which Stock Factors Will Outperform

A recent study, “Picking Winners in Factorland: A Machine Learning Approach to Predicting Factor Returns,” set out to answer a critical question: Can machine learning techniques improve the prediction ...
techtarget

Predictive analytics vs. machine learning

Predictive analytics and machine learning help companies make better decisions by anticipating what will happen. Both approaches can predict future outcomes by analyzing current and past data. As such ...
pv magazine International

PV energy forecasting based on genetic algorithms, dynamic neural network

Scientists in Spain have used genetic algorithms to optimize a feedforward artificial neural network for the prediction of energy generation of PV systems. Genetic algorithms use “parents” and ...
BIOENGINEER

Machine Learning for Hip Replacement Outcomes Shows Performance Drop in Welsh Data

A preliminary study found that machine learning models predicting hip replacement outcomes trained on English data ...
Geeky Gadgets

Al Learning Algorithms Explained – Beginners Guide

Supervised learning algorithms learn from labeled data, where the desired output is known. These algorithms aim to build a model that can predict the output for new, unseen input data. Let’s take a ...