Zobrazeno 1 - 10
of 695
pro vyhledávání: '"Aydınoğlu, A"'
Autor:
Aydinoglu, Arsev Umur
Publikováno v:
Doctoral Dissertations.
This study is the exploration of the emergence of DataONE, a multidisciplinary, multinational, and multi-institutional virtual scientific collaboration to develop a cyberinfrastructure for earth sciences data, from the complex adaptive systems perspe
Externí odkaz:
http://trace.tennessee.edu/utk_graddiss/1054
Autor:
Sayin, Eda (AUTHOR) eda.sayin@ie.edu, Aydınoğlu, Nilüfer Z. (AUTHOR), Özsomer, Ayşegül (AUTHOR), Gürhan-Canlı, Zeynep (AUTHOR)
Publikováno v:
Journal of International Marketing. Sep2024, Vol. 32 Issue 3, p83-100. 18p.
The hybrid nature of multi-contact robotic systems, due to making and breaking contact with the environment, creates significant challenges for high-quality control. Existing model-based methods typically rely on either good prior knowledge of the mu
Externí odkaz:
http://arxiv.org/abs/2310.09893
We propose a hybrid model predictive control algorithm, consensus complementarity control (C3), for systems that make and break contact with their environment. Many state-of-the-art controllers for tasks which require initiating contact with the envi
Externí odkaz:
http://arxiv.org/abs/2304.11259
Autor:
Aysu Aydınoğlu
Publikováno v:
Heliyon, Vol 10, Iss 15, Pp e35189- (2024)
Background: Orthopedic surgeries frequently utilize bone cement, which can increase the risk of postoperative infections. Addressing this challenge, this study aims to enhance the mechanical, physical, and handling properties of bone cement by integr
Externí odkaz:
https://doaj.org/article/937de1a647b942bdae1f1fdb201a33f2
The second quantum revolution has been producing groundbreaking scientific and technological outputs since the early 2000s; however, the scientific literature on the impact of this revolution on the industry, specifically on start-ups, is limited. In
Externí odkaz:
http://arxiv.org/abs/2205.01999
This paper investigates the learning, or system identification, of a class of piecewise-affine dynamical systems known as linear complementarity systems (LCSs). We propose a violation-based loss which enables efficient learning of the LCS parameteriz
Externí odkaz:
http://arxiv.org/abs/2112.13284
Autor:
Aydinoglu, Alp, Posa, Michael
We propose a hybrid model predictive control algorithm, consensus complementarity control (C3), for systems that make and break contact with their environment. Many state-of-the-art controllers for tasks which require initiating contact with the envi
Externí odkaz:
http://arxiv.org/abs/2109.07076