Battery impedance spectrum prediction from partial charging voltage curve by machine learning

Cardiovascular Event Prediction by Machine Learning

Bandit Structured Prediction for Learning from Partial Feedback in Statistical Machine Translation

We present an approach to structured prediction from bandit feedback, called Bandit Structured Prediction, where only the value of a task loss function at a single predicted point, instead of a correct structure, is observed in learning. We present an application to discriminative reranking in Statistical Machine Translation (SMT) where the learning algorithm only has access to a 1 − BLEU loss ...

Stock Price Prediction using Machine Learning and Swarm Intelligence

Background and Objectives: Stock price prediction has become one of the interesting and also challenging topics for researchers in the past few years. Due to the non-linear nature of the time-series data of the stock prices, mathematical modeling approaches usually fail to yield acceptable results. Therefore, machine learning methods can be a promising solution to this problem. Methods: In this...

Diagnosing Breast Cancer by Machine Learning

Background and Aim: Cancer and in particular Breast cancer are among the diseases that have the highest mortality rate in Iran after heart disease. The accurate prognosis for Breast cancer is important, and the presence of various symptoms and features of this disease makes it difficult for doctors to diagnose. This study aimed to identify the factors affecting Breast cancer, modeling and ultim...

Dynamic Power Path Management Simplifies Battery Charging from Solar Panels

The Texas Instruments bq2403x family of linear charge regulators were originally designed to charge single-cell Li-ion batteries from an AC adapter or USB port. However, these ICs also lend themselves well to applications powered by solar panels. Solar cells basically comprise a p-n junction in which incident light energy (photons) causes electrons and holes to recombine, generating an electric...