Frontiers

A robust deep learning framework for predicting carbon dioxide-water alternating gas injection performance and optimization

Figure 1. Schematic diagram of CO 2-WAG technique and CCUS aims. Table 3. CO 2-WAG parameters range. The script then automatically runs numerical simulations number-by-number using the created data ...
IEEE

Estimation of Warfarin Dosage using a Specialized XGBoost-based Pharmacogenomic Machine Learning Model and Evaluation using XAI

Abstract: Warfarin is a commonly used anticoagulant for which dosing needs to be individually optimized highly tightly to match against the potential for bleeding and thrombotic side effects. We ...
MassLive

Parlez-vous? The pros, cons of using AI to learn a new language

Editor’s note: This article was produced by a University of Massachusetts Amherst journalism student, in collaboration with MassLive, as part of a project in professor Steve Fox’s Introduction to ...
GitHub

SORADATA/CAC40-Quantitative-Analysis-Predictive-Asset-Allocation

Traditional portfolio management relies on static allocations and reactive rebalancing. AlphaEdge flips this paradigm by implementing a fully automated, AI-driven investment strategy that: ...
Dan's Papers

Recipe: Learn to Make Tollhouse Cookie Pie

With Vanilla Ice Cream from Andrea Anthony, LUNCH Lobster Roll There’s nothing like the smell of a Tollhouse Cookie Pie coming out of the oven! Warm, gooey, and loaded with melted chocolate chips and ...
IEEE

Enhanced Seizure Prediction Using XGBoost and EEG Data: A Machine Learning Approach with increasing Model Metrics

Abstract: Epilepsy is a neurological disorder marked by abnormal brain activity. Normally, brain cells (neurons) communicate with each other through electrical signals. In epilepsy, these signals ...