Zobrazeno 1 - 10
of 50
pro vyhledávání: '"George Koutitas"'
Autor:
George Koutitas, Kimberly Nolen, Sepideh Attal, Anastasios Ventouris, Yinnon Dolev, Hans Thijs Van Den Broek
Publikováno v:
IEEE Access, Vol 11, Pp 84430-84439 (2023)
Wild-type transthyretin amyloid cardiomyopathy is an under-recognized cause of heart failure. Pfizer previously developed a machine learning model that performed well in identifying wild-type transthyretin amyloid cardiomyopathy vs. nonamyloid heart
Externí odkaz:
https://doaj.org/article/97ce96d8b0f2479b93fcc8a806c63da8
Publikováno v:
IEEE Access, Vol 8, Pp 220263-220273 (2020)
This work presents a novel approach that adopts content caching techniques towards reducing computation and communication costs of Augmented Reality (AR) services. The application scenario under investigation assumes an environment of static objects,
Externí odkaz:
https://doaj.org/article/272b6915553546088b7abed9e28af978
Publikováno v:
Sensors, Vol 20, Iss 3, p 690 (2020)
This article presents a novel methodology for predicting wireless signal propagation using ray-tracing algorithms, and visualizing signal variations in situ by leveraging Augmented Reality (AR) tools. The proposed system performs a special type of sp
Externí odkaz:
https://doaj.org/article/a979f167713848e284c57121c2162958
Publikováno v:
Applied Sciences, Vol 9, Iss 14, p 2902 (2019)
A feedback-based architecture is presented for the distribution grid which enables the use of Machine Learning (ML) techniques for various applications, including Dynamic Voltage Optimization (DVO) and Demand Response (DR). In this architecture, sens
Externí odkaz:
https://doaj.org/article/6ea5e5a9661045929f31e434f48b3bd5
Publikováno v:
Virtual Reality. 25:83-94
The first responder training sector presents crucial difficulties on adopting “future of work” online training principles because physical (muscle) memory is considered as important as cognitive memory. It is obvious that physical memory cannot b
Publikováno v:
IEEE Access, Vol 8, Pp 220263-220273 (2020)
This work presents a novel approach that adopts content caching techniques towards reducing computation and communication costs of Augmented Reality (AR) services. The application scenario under investigation assumes an environment of static objects,
Autor:
David C. Wierschem, Damian Valles, Semih Aslan, Jesus A. Jimenez, Francis A. Méndez Mediavilla, Abhimanyu Sharotry, George Koutitas, Rachel M. Koldenhoven
Publikováno v:
WSC
This research presents a digital twin concept and prototype to represent human operators in the material handling industry. To construct the digital twin, we use a simulation-based framework for data collection and analysis. The framework consists of
Autor:
Miguel Hernandez, David C. Wierschem, George Koutitas, Jesus A. Jimenez, Francis Mendez, Semih Aslan, Rachel M. Koldenhoven, Damian Valles
Publikováno v:
2020 11th IEEE Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON).
Performing modeling simulations with visualization and control can be rather difficult for dynamical models or other diverse applications. This work demonstrates the utility of the Julia programming language to solve this problem by being able to kee
Autor:
G. Hernandez, David C. Wierschem, Francis Mendez, D. Vallez, Semih Aslan, George Koutitas, T. Caroll, Rachel M. Koldenhoven, Jesus A. Jimenez
Publikováno v:
SMC
This paper presents two Inverse Kinematics (IK) algorithms that are used for digital twin Augmented Reality (AR) applications. The first algorithm is a simple Inverse Kinematics (IK) Unity code that considers up to 9 points on the human body to model
Publikováno v:
PerCom Workshops
As the complexity of hardware (sensors, components, antennas) and software (algorithms) increases, it is practical and efficient to manage and process test configuration and data analysis as close to the testbed as possible (inline) instead of offlin