1 citations · 1 across the 2 of their papers we have counts for
6 papers
Industrial-Instruction: An End-to-End Framework for Building Instruction-Tuning and Benchmark Datasets from Industrial Technical Reports
Parsa Bakhtiari, Hassan Bashiri, Alireza Khalilipour +2
Industrial technical reports contain high-value knowledge for maintenance, troubleshooting, and product engineering, but their heterogeneous structure (dense prose, specifications,…
LLM-enabled Social Agents
Ãnder Gürcan, Moharram Challenger
Large Language Models (LLMs) have transformed agent-agent and human-agent interaction by enabling software, physical, and simulation agents to communicate and deliberate through na…
ProMoTA: a model-driven framework for end-to-end traceability analysis
Sadaf Mustafiz, Marko Mijalkovic, Moharram Challenger
In this paper, we propose an approach that integrates end-to-end traceability with process modelling. OurprocessmodelsrepresentMDEworkflowsthatspan platform-independent-modelling,…
Path Planning through Multi-Agent Reinforcement Learning in Dynamic Environments
Jonas De Maeyer, Hossein Yarahmadi, Moharram Challenger
Path planning in dynamic environments is a fundamental challenge in intelligent transportation and robotics, where obstacles and conditions change over time, introducing uncertaint…
High-level reasoning while low-level actuation in Cyber-Physical Systems: How efficient is it?
Burak Karaduman, Baris Tekin Tezel, Moharram Challenger
The increasing complexity of industrial information-integration systems demands software technologies that enable intelligent behaviour, real-time response, and efficient developme…
Enhancement of Quantum Semi-Supervised Learning via Improved Laplacian and Poisson Methods
Hamed Gholipour, Farid Bozorgnia, Hamzeh Mohammadigheymasi +5
This paper develops a hybrid quantum approach for graph-based semi-supervised learning to enhance performance in scenarios where labeled data is scarce. We introduce two enhanced q…