Zobrazeno 1 - 10
of 936
pro vyhledávání: '"Scheler, P"'
Autor:
Ma, Qifei, Jin, Huaizhou, Shang, Xiaoxiao, Pardy, Tamas, Scheler, Ott, Bartkova, Simona, Cojoc, Dan, Garoli, Denis, Jin, Shangzhong
Emulsions are ubiquitous in everyday life and find applications in various industries. Optical tweezers (OTs) have emerged as the preferred method for studying emulsion dynamics. In this review, we first introduce the theory of optical trapping and e
Externí odkaz:
http://arxiv.org/abs/2411.09245
Autor:
Frohna, Kyle, Chosy, Cullen, Al-Ashouri, Amran, Scheler, Florian, Chiang, Yu-Hsien, Dubajic, Milos, Parker, Julia E., Walker, Jessica M., Zimmermann, Lea, Selby, Thomas A., Lu, Yang, Roose, Bart, Albrecht, Steve, Anaya, Miguel, Stranks, Samuel D.
Next-generation low-cost semiconductors such as halide perovskites exhibit optoelectronic properties dominated by nanoscale variations in their structure, composition and photophysics. While microscopy provides a proxy for ultimate device function, p
Externí odkaz:
http://arxiv.org/abs/2403.16988
Zero-shot detection (ZSD), i.e., detection on classes not seen during training, is essential for real world detection use-cases, but remains a difficult task. Recent research attempts ZSD with detection models that output embeddings instead of direct
Externí odkaz:
http://arxiv.org/abs/2306.06899
The usability of Reinforcement Learning is restricted by the large computation times it requires. Curriculum Reinforcement Learning speeds up learning by defining a helpful order in which an agent encounters tasks, i.e. from simple to hard. Curricula
Externí odkaz:
http://arxiv.org/abs/2306.05769
Cryptocurrency forensics became standard tools for law enforcement. Their basic idea is to deanonymise cryptocurrency transactions to identify the people behind them. Cryptocurrency deanonymisation techniques are often based on premises that largely
Externí odkaz:
http://arxiv.org/abs/2305.16883
Autor:
Scheler, Ingo, Dietrich, Robin
Multi-robot exploration is a field which tackles the challenge of exploring a previously unknown environment with a number of robots. This is especially relevant for search and rescue operations where time is essential. Current state of the art appro
Externí odkaz:
http://arxiv.org/abs/2303.17459
Autor:
Mart Ernits, Olavi Reinsalu, Naresh Yandrapalli, Sergei Kopanchuk, Ehsan Moradpur-Tari, Immanuel Sanka, Ott Scheler, Ago Rinken, Reet Kurg, Andreas Kyritsakis, Veikko Linko, Veronika Zadin
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-8 (2024)
Abstract In advanced drug delivery, versatile liposomal formulations are commonly employed for safer and more accurate therapies. Here we report a method that allows a straightforward production of synthetic monodisperse (~ 100 μm) giant unilamellar
Externí odkaz:
https://doaj.org/article/d3722b7656734c66a34061ea096fff76
Autor:
Scheler, Gabriele
In this paper, we lay out a novel model of neuroplasticity in the form of a horizontal-vertical integration model of neural processing. The horizontal plane consists of a network of neurons connected by adaptive transmission links. This fits with sta
Externí odkaz:
http://arxiv.org/abs/2209.06865
Publikováno v:
FinTech, Vol 3, Iss 2, Pp 236-248 (2024)
Cryptocurrency forensics have become standard tools for law enforcement. Their basic idea is to deanonymise cryptocurrency transactions to identify the people behind them. Cryptocurrency deanonymisation techniques are often based on premises that lar
Externí odkaz:
https://doaj.org/article/2ec2ec2b74c24d50be4a4814bb5daf79
In many applications of forensic image analysis, state-of-the-art results are nowadays achieved with machine learning methods. However, concerns about their reliability and opaqueness raise the question whether such methods can be used in criminal in
Externí odkaz:
http://arxiv.org/abs/2203.00469