Supply Chain Management Review

Predicting failure before it happens: A new playbook for transportation risk

Machine learning-driven carrier risk modeling enables supply chains to predict and prevent pickup defects, reducing costs and improving on-time performance.
FanSided

Predicting when Carlos Lagrange and other spring training snubs will make their MLB debuts

Lagrange won't be on the Yankees' Opening Day roster, but it shouldn't be long before he and other top prospects debut in the Majors. Multiple MLB teams are holding back promising prospects despite ...
MLB

The prospects with the most interesting Statcast data this spring

You're about to see the most exciting prospects in baseball take the field during Spring Breakout this week -- but a lot of those prospects have already been putting on a showcase this spring. And ...
IEEE

Improving Fast Adversarial Training Paradigm: An Example Taxonomy Perspective

Abstract: While adversarial training is an effective defense method against adversarial attacks, it notably increases the training cost. To this end, fast adversarial training (FAT) is presented for ...
IEEE

Predicting Water Inflows for Power System Operation under Climate Variability: Comparing Long- and Short-Term Data Series via LSTM Networks

Abstract: Water inflow is a critical variable for hydropower operation and planning, strongly influenced by climate variability. This work evaluates the impact of using historical versus recent data ...