Daily Excelsior

Machine Learning Methods Used for Portfolio Optimization and Risk Management

Machine learning is reshaping the way portfolios are built, monitored, and adjusted. Investors are no longer limited to ...

AI river forecasts may be accurate, but based on flawed logic

Artificial intelligence is changing how we predict river flow—but a new study led by researchers at the University of British ...
IEEE

Forecasting of Photovoltaic Output in Plateau Area Based on RBMO-LSTM

Abstract: This paper provides a summary and comparison of various methods for predicting photovoltaic (PV) power. It focuses on summarizing the methods for predicting PV power using artificial ...

XRP Social Sentiment Hits “Extreme Negativity”—A Historical Setup for a Reversal?

XRP (CRYPTO: XRP) sits near $1.90 with sentiment hitting levels not seen since before its last major rally. The Crypto Fear & ...
EurekAlert!

LSTM resolves the long-standing trade-off between sensitivity and measurement range

Researchers in China propose and experimentally demonstrates a novel, deep learning-driven spectral recognition strategy, which achieves a wide dynamic measurement range beyond the free spectral range ...
netinfluencer

Instagram’s Algorithm Reset Clarifies The Rules, But Raises The Stakes For Creators

Instagram’s December 2025 algorithm update did not introduce an entirely new system. Instead, it formalized a direction the platform has been moving toward all year: prioritizing declared interests, ...
IEEE

AdaBoost-LSTM: A Hybrid Ensemble Framework for Sequential Credit Card Fraud Detection

Abstract: Credit card fraud detection is a critical task in financial systems, requiring effective algorithms to accurately classify transactions as fraudulent or non-fraudulent. This paper proposes a ...