Zobrazeno 1 - 10
of 1 288
pro vyhledávání: '"Ahmet, S."'
Autor:
Tyagi, Vishweshwar, Murray, Lynda M., Asan, Ahmet S., Mandigo, Christopher, Virk, Michael S., Harel, Noam Y., Carmel, Jason B., McIntosh, James R.
Electromagnetic stimulation probes and modulates the neural systems that control movement. Key to understanding their effects is the muscle recruitment curve, which maps evoked potential size against stimulation intensity. Current methods to estimate
Externí odkaz:
http://arxiv.org/abs/2407.08709
Autor:
Messaris, Ioannis, Ascoli, Alon, Demirkol, Ahmet S., Ntinas, Vasileios, Prousalis, Dimitrios, Tetzlaff, Ronald
In this theoretical study, we focus on the high-frequency response of the electrothermal NbO2-Mott threshold switch, a real-world electronic device, which has been proved to be relevant in several applications and is classified as a volatile memristo
Externí odkaz:
http://arxiv.org/abs/2401.10924
Autor:
Chawa, Mohamad Moner Al, Bedau, Daniel, Demirkol, Ahmet S., Reiner, James W., Stewart, Derek A., Grobis, Michael K., Tetzlaff, Ronald
In this paper, we present a new compact model of threshold switching devices which is suitable for efficient circuit-level simulations. First, a macro model, based on a compact transistor based circuit, was implemented in LTSPICE. Then, a descriptive
Externí odkaz:
http://arxiv.org/abs/2308.02017
Autor:
Jain, Sagarika, Cetnar, Ashley, Woollard, Jeffrey, Gupta, Nilendu, Blakaj, Dukagjin, Chakravarti, Arnab, Ayan, Ahmet S.
Purpose: Commercial UHDR platforms deliver Ultra-High Dose Rate (UHDR) doses at discrete combinations of pulse parameters including pulse width (PW), pulse repetition frequency (PRF) and number of pulses (N), which dictate unique combinations of dose
Externí odkaz:
http://arxiv.org/abs/2302.07613
Publikováno v:
In Ocean Engineering 15 September 2024 308
Autor:
David R. Ghasemi, Konstantin Okonechnikov, Anne Rademacher, Stephan Tirier, Kendra K. Maass, Hanna Schumacher, Piyush Joshi, Maxwell P. Gold, Julia Sundheimer, Britta Statz, Ahmet S. Rifaioglu, Katharina Bauer, Sabrina Schumacher, Michele Bortolomeazzi, Felice Giangaspero, Kati J. Ernst, Steven C. Clifford, Julio Saez-Rodriguez, David T. W. Jones, Daisuke Kawauchi, Ernest Fraenkel, Jan-Philipp Mallm, Karsten Rippe, Andrey Korshunov, Stefan M. Pfister, Kristian W. Pajtler
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-20 (2024)
Abstract Medulloblastomas with extensive nodularity are cerebellar tumors characterized by two distinct compartments and variable disease progression. The mechanisms governing the balance between proliferation and differentiation in MBEN remain poorl
Externí odkaz:
https://doaj.org/article/73c7a67e39074505ad2f97eb63756762
Autor:
David R. Ghasemi, Konstantin Okonechnikov, Anne Rademacher, Stephan Tirier, Kendra K. Maass, Hanna Schumacher, Piyush Joshi, Maxwell P. Gold, Julia Sundheimer, Britta Statz, Ahmet S. Rifaioglu, Katharina Bauer, Sabrina Schumacher, Michele Bortolomeazzi, Felice Giangaspero, Kati J. Ernst, Steven C. Clifford, Julio Saez-Rodriguez, David T. W. Jones, Daisuke Kawauchi, Ernest Fraenkel, Jan-Philipp Mallm, Karsten Rippe, Andrey Korshunov, Stefan M. Pfister, Kristian W. Pajtler
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-1 (2024)
Externí odkaz:
https://doaj.org/article/47da4125f4844105ae9c15e274201e59
Autor:
Upadhyay, Rituraj *, Ayan, Ahmet S., Jain, Sagarika, Klamer, Brett G., Perlow, Haley K. *, Zoller, Wesley *, Blakaj, Dukagjin M. *, Beyer, Sasha *, Grecula, John *, Arnett, Andrea *, Thomas, Evan *, Chakravarti, Arnab *, Raval, Raju R. *, Palmer, Joshua D. *
Publikováno v:
In International Journal of Radiation Oncology, Biology, Physics 1 January 2024 118(1):275-284
Reinforcement learning augmented by the representational power of deep neural networks, has shown promising results on high-dimensional problems, such as game playing and robotic control. However, the sequential nature of these problems poses a funda
Externí odkaz:
http://arxiv.org/abs/2005.04536
Autor:
Narayanan, Pritish, Cox, Charles E., Asseman, Alexis, Antoine, Nicolas, Huels, Harald, Wilcke, Winfried W., Ozcan, Ahmet S.
The IBM Neural Computer (INC) is a highly flexible, re-configurable parallel processing system that is intended as a research and development platform for emerging machine intelligence algorithms and computational neuroscience. It consists of hundred
Externí odkaz:
http://arxiv.org/abs/2003.11178