
Predictive maintenance
Predictive maintenance is an advanced approach in industrial data analytics that uses sensor data to forecast equipment conditions.
Found projects: 10

Predictive maintenance is an advanced approach in industrial data analytics that uses sensor data to forecast equipment conditions.

This project focuses on pretraining and finetuning general-purpose image VLMs to remote-sensing applications that require spatial reasoning and interpretability.

Solving practical Solving practical problems for: Coordinated cargo transport, traffic flow optimization, decentralized obstacle avoidance and navigation

Project is focused on creating generative AI with built-in physical consistency

Investigating how animals use vocalizations for communication within and across species, identifying universal principles through bioacoustic analysis, behavioral studies, and machine learning.

This project focuses on developing an automated solution to evaluate the performance of large language models (LLMs) on proprietary corporate data.

Our research direction focuses on how emotional reasoning influences strategic decision-making in both LLMs and humans within controlled environments.

This project aims to adapt state-of-the-art diffusion models for text-assisted, consistent manga colorization.

This project focuses on pretraining and fine-tuning general-purpose image VLMs to develop a research assistant for Egyptology.

Studying how emotional understanding and expression can support more natural, adaptive, and socially intelligent human-computer interaction (HCI).