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pro vyhledávání: '"Farley, A"'
Autor:
Michels, Lisa-Marie, Petkova, Aleksandra, Richter, Marcel, Farley, Andreas, Graziotin, Daniel, Wagner, Stefan
Publikováno v:
IEEE Software (Volume: 41, Issue: 4, July-Aug. 2024), Page(s): 51 - 59
We have conducted a qualitative psychology study to explore the experience of feeling overwhelmed in the realm of software development. Through the candid confessions of two participants who have recently faced overwhelming challenges, we have identi
Externí odkaz:
http://arxiv.org/abs/2406.04057
The statistics of electron transport in a tunnel junction is affected by fluctuations of its voltage bias, which modulates the probability for electrons to cross the junction. We exploit this phenomenon to provide a direct measurement of quantum vacu
Externí odkaz:
http://arxiv.org/abs/2404.06594
Despite the fact that atom interferometry has been a successful application of quantum sensing, a major topic of interest is the further improvement of the sensitivity of these devices. In particular, the area enclosed by the interferometer (which co
Externí odkaz:
http://arxiv.org/abs/2403.08913
Autor:
Michels, Lisa-Marie, Petkova, Aleksandra, Richter, Marcel, Farley, Andreas, Graziotin, Daniel, Wagner, Stefan
In this paper, we report on an Interpretive Phenomenological Analysis (IPA) study on experiencing overwhelm in a software development context. The objectives of our study are, hence, to understand the experiences developers have when being overwhelme
Externí odkaz:
http://arxiv.org/abs/2401.02780
Autor:
Farley, Daniel
We outline a general procedure that builds classifying spaces for generalized Thompson groups $\Gamma$. The construction depends on a small number of choices: (1) an inverse semigroup $S$ of partial transformations that ``locally determine" $\Gamma$;
Externí odkaz:
http://arxiv.org/abs/2312.10211
Publikováno v:
2023 International Conference on Noise and Fluctuations (ICNF)
A time-dependent bias voltage on a tunnel junction generates a time-dependent modulation of its current fluctuations, and in particular of its variance. This translates into an excitation at frequency $\tilde{f}$ generating correlations between curre
Externí odkaz:
http://arxiv.org/abs/2311.17794
We propose an incomplete algorithm for Maximum Satisfiability (MaxSAT) specifically designed to run on neural network accelerators such as GPUs and TPUs. Given a MaxSAT problem instance in conjunctive normal form, our procedure constructs a Restricte
Externí odkaz:
http://arxiv.org/abs/2311.02101
Autor:
Dhungana, Govinda, Kehoe, Robert, Staten, Ryan, Vinko, Jozsef, Wheeler, J. Craig, Akerlof, Carl W., Doss, David, Farrente, Farley V., Gibson, Coyne A., Lasker, James, Marion, G. H., Pandey, Shashi Bhushan, Quimby, Robert, Rykoff, Eli, Smith, Donald A., Yuan, Fang, Zheng, WeiKang
We present cosmological analysis of 12 nearby ($z<0.06$) Type IIP supernovae (SNe IIP) observed with the ROTSE-IIIb telescope. To achieve precise photometry, we present a new image differencing technique that is implemented for the first time on the
Externí odkaz:
http://arxiv.org/abs/2308.00916
Publikováno v:
Journal of European Real Estate Research, 2024, Vol. 17, Issue 1, pp. 70-86.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/JERER-04-2023-0010
Action recognition is an important problem that requires identifying actions in video by learning complex interactions across scene actors and objects. However, modern deep-learning based networks often require significant computation, and may captur
Externí odkaz:
http://arxiv.org/abs/2305.09539