IEEE

Modeling and forecasting overdispersed IoT data using an efficient and accurate computation of the Dirichlet Multinomial distribution

Abstract: The Internet of Things (IoT) has rapidly become a ubiquitous aspect of modern society, intertwining with our daily lives in many ways; while these advancements provide several beneficial ...
GitHub

Synthetic promoter design in Escherichia coli based on multinomial diffusion model

The models discussed in this paper are all detailed in the wiki documentation of our GPro package, which is publicly available. We would be delighted if you also wished to try out our toolkit! To ...

Predictive Modeling: Techniques, Uses, and Key Takeaways

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

Ivy Raider ‘Moneyball for Gunnery’ Part 2: The Science of Crew Lethality

This article is a continuation of the 1st Stryker Brigade Combat Team (SBCT), 4th Infantry Division’s “Moneyball for Gunnery” ...
GitHub

Language-Based Multimodal Trajectory Prediction

Traditional vs. Our language-based trajectory prediction, LMTraj. We provide scripts to evaluate our LMTraj-ZERO model for all datasets simultaneously. Two scripts ...
IEEE

Regression Model Employing Spiking Neural Network for Bio-Signal Analysis With Hardware Integration

Abstract: Spiking neural networks, known for mimicking the brain’s functionality resulting in efficient algorithms, are gaining attention across various problems and applications. However, their ...