Stavros Nousias

Orcid: 0000-0002-2811-235X

According to our database1, Stavros Nousias authored at least 38 papers between 2016 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Links

On csauthors.net:

Bibliography

2024
VectorGraphNET: Graph Attention Networks for Accurate Segmentation of Complex Technical Drawings.
CoRR, 2024

Text2BIM: Generating Building Models Using a Large Language Model-based Multi-Agent Framework.
CoRR, 2024

Towards a copilot in BIM authoring tool using a large language model-based agent for intelligent human-machine interaction.
CoRR, 2024

Towards commands recommender system in BIM authoring tool using transformers.
CoRR, 2024

Coordinating robotized construction using advanced robotic simulation: The case of collaborative brick wall assembly.
CoRR, 2024

2023
Deep Saliency Mapping for 3D Meshes and Applications.
ACM Trans. Multim. Comput. Commun. Appl., 2023

Towards predicting Pedestrian Evacuation Time and Density from Floorplans using a Vision Transformer.
CoRR, 2023

Accelerating Deep Neural Networks for Efficient Scene Understanding in Multi-Modal Automotive Applications.
IEEE Access, 2023

AI Sound Recognition on Asthma Medication Adherence: Evaluation With the RDA Benchmark Suite.
IEEE Access, 2023

2022
Respiratory and Drug Actuation Dataset.
Dataset, June, 2022

Patient-specific modelling, simulation and real time processing for respiratory diseases.
CoRR, 2022

Revisiting Audio Pattern Recognition for Asthma Medication Adherence: Evaluation with the RDA Benchmark Suite.
CoRR, 2022

Robust 4D awareness via diffusion adaptation over Connected and Autonomated vehicles.
Proceedings of the 14th IEEE Image, Video, and Multidimensional Signal Processing Workshop, 2022

Coarse-to-fine defect detection of heritage 3D models using a CNN learning approach.
Proceedings of the 5th IEEE International Conference on Industrial Cyber-Physical Systems, 2022

2021
Fast Mesh Denoising With Data Driven Normal Filtering Using Deep Variational Autoencoders.
IEEE Trans. Ind. Informatics, 2021

Empowering cyberphysical systems of systems with intelligence.
CoRR, 2021

Accelerating 3D scene analysis for autonomous driving on embedded AI computing platforms.
Proceedings of the 29th IFIP/IEEE International Conference on Very Large Scale Integration, 2021

Accelerating deep neural networks for efficient scene understanding in automotive cyber-physical systems.
Proceedings of the 4th IEEE International Conference on Industrial Cyber-Physical Systems, 2021

2020
Deep CNN Sparse Coding for Real Time Inhaler Sounds Classification.
Sensors, 2020

A Saliency Aware CNN-Based 3D Model Simplification and Compression Framework for Remote Inspection of Heritage Sites.
IEEE Access, 2020

Efficient automated U - Net based tree crown delineation using UAV multi-spectral imagery on embedded devices.
Proceedings of the 18th IEEE International Conference on Industrial Informatics, 2020

Mesh Saliency Detection Using Convolutional Neural Networks.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2020

2019
Sparse modeling and optimization tools for energy efficient and reliable IoT.
Proceedings of the First International Conference on Societal Automation, 2019

Fast mesh denoising with data driven normal filtering using deep autoencoders.
Proceedings of the 17th IEEE International Conference on Industrial Informatics, 2019

Fluid-structure interaction simulation framework for cerebral aneurysm wall deformation.
Proceedings of the 10th International Conference on Information, 2019

Assessment of medication adherence in respiratory diseases through deep sparse convolutional coding.
Proceedings of the 24th IEEE International Conference on Emerging Technologies and Factory Automation, 2019

Recognition of Breathing Activity and Medication Adherence using LSTM Neural Networks.
Proceedings of the 19th IEEE International Conference on Bioinformatics and Bioengineering, 2019

Enhancing an Eco-Driving Gamification Platform Through Wearable and Vehicle Sensor Data Integration.
Proceedings of the Ambient Intelligence - 15th European Conference, 2019

2018
GamECAR: Gamifying Self-Management of Eco-driving.
ERCIM News, 2018

Exploiting Gamification to Improve Eco-driving Behaviour: The GamECAR Approach.
Proceedings of the 1st Workshop on Behavioral Change and Ambient Intelligence for Sustainability, 2018

An mHealth System for Monitoring Medication Adherence in Obstructive Respiratory Diseases Using Content Based Audio Classification.
IEEE Access, 2018

3-Class Prediction of Asthma Control Status Using a Gaussian Mixture Model Approach.
Proceedings of the 10th Hellenic Conference on Artificial Intelligence, 2018

Managing nonuniformities and uncertainties in vehicle-oriented sensor data over next generation networks.
Proceedings of the 2018 IEEE International Conference on Pervasive Computing and Communications Workshops, 2018

Uncertainty Management for Wearable IoT Wristband Sensors Using Laplacian-Based Matrix Completion.
Proceedings of the 23rd IEEE International Workshop on Computer Aided Modeling and Design of Communication Links and Networks, 2018

2017
Substance deposition assessment in obstructed pulmonary system through numerical characterization of airflow and inhaled particles attributes.
BMC Medical Informatics Decis. Mak., 2017

2016
Monitoring asthma medication adherence through content based audio classification.
Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016

Computational Modeling for Simulating Obstructive Lung Diseases Based on Geometry Processing Methods.
Proceedings of the Digital Human Modeling: Applications in Health, Safety, Ergonomics and Risk Management, 2016

Numerical assessment of airflow and inhaled particles attributes in obstructed pulmonary system.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2016


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