From smarter safety systems and software defined vehicles to AI agents that negotiate on your behalf, the technology is no ...

In food drying applications, machine learning has demonstrated strong capability in predicting drying rates, moisture ...

Digital Twin of the Ocean is a continuously updated virtual counterpart of the real ocean that exchanges data in real time ...

Reverse Logistics, Artificial Intelligence, Circular Economy, Supply Chain Management, Sustainability, Machine Learning Share and Cite: Waditwar, P. (2026) De-Risking Returns: How AI Can Reinvent Big ...

Abstract: The vertical grid load is one of the main input variables to determine the load flow on the transmission grid in system operation centers. As it depends on a variety of input variables, a ...

Discover the power of predictive modeling to forecast future outcomes using regression, neural networks, and more for improved business strategies and risk management.

Worldwide Flight Services (WFS), a SATS company, has developed a new machine learning-based forecasting tool designed to improve the accuracy of air cargo volume predictions and better align workforce ...

Bitcoin (BTC) surged nearly 5% early Monday, November 10, climbing back above $106,000 after briefly plunging below $100,000 last week. The uptick came as investors rushed to “buy the dip” following a ...

├── src/ # Source code modules │ ├── lstm_model.py # LSTM implementation with PyTorch │ ├── forecasting_models.py # ARIMA, Prophet, and statistical models │ ├── anomaly_detection.py # Anomaly ...

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 ...

This has been a roller coaster year for the S&P 500, Nasdaq Composite, and Dow Jones Industrial Average, with all three enduring a mini-crash and a rip-roaring rally to new highs. A new ...