IEEE

Neural Internal Model Control: Learning a Robust Control Policy Via Predictive Error Feedback

Abstract: Accurate motion control in the face of disturbances within complex environments remains a major challenge in robotics. Classical model-based approaches often struggle with nonlinearities and ...

Beyond the lakehouse: Fundamental's NEXUS bypasses manual ETL with a native foundation model for tabular data

Emerging from stealth, the company is debuting NEXUS, a Large Tabular Model (LTM) designed to treat business data not as a simple sequence of words, but as a complex web of non-linear relationships.

Fundamental emerges from stealth with first major foundation model trained for tabular data

Emerging from stealth, the company is debuting NEXUS, a Large Tabular Model (LTM) designed to treat business data not as a ...
Scientific Research Publishing

Safety Leadership and Safety Performance: An integrative Model for Ghanaian Construction Industry ()

Safety Leadership, Worker Behaviour, Safety Performance, Integrative Model, Ghanaian Construction Industry Share and Cite: ...
IEEE

Predictive Modeling of Idle Mode Capability for Energy Optimization in Heterogeneous Cellular and IoT Networks

This paper investigates the Idle Mode Capability (IMC) in heterogeneous cellular networks through a dual approach that combines Monte Carlo-based MATLAB simulations with supervised machine learning ...
Frontiers

Mechanistic pathways predictive modeling and translational interventions for radiation enteritis in cervical cancer radiotherapy

Radiation enteritis remains a major dose-limiting toxicity in cervical cancer radiotherapy, significantly impairing treatment continuity, long-term gastrointestinal function, and patient quality of ...
GitHub

GluonTS - Probabilistic Time Series Modeling in Python

GluonTS is a Python toolkit for probabilistic time series modeling, built around Apache MXNet (incubating). GluonTS provides utilities for loading and iterating over time series datasets, state of the ...