Zobrazeno 1 - 10
of 262 430
pro vyhledávání: '"A. Edgar"'
This paper focuses on defining an analog of differential-graded triangular matrix algebra in the context of differential-graded categories. Given two dg-categories $\mathcal{U}$ and $\mathcal{T}$ and $M \in \text{DgMod}(\mathcal{U} \otimes \mathcal{T
Externí odkaz:
http://arxiv.org/abs/2409.03910
Autor:
Wolf, Edgar, Windisch, Tobias
Process curves are multi-variate finite time series data coming from manufacturing processes. This paper studies machine learning methods for drifts of process curves. A theoretic framework to synthetically generate process curves in a controlled way
Externí odkaz:
http://arxiv.org/abs/2409.03669
Autor:
Das, Saurabh M., Harrison, Patrick, Kiranbabu, Srikakulapu, Zhou, Xuyang, Ludwig, Wolfgang, Rauch, Edgar F., Herbig, Michael, Liebscher, Christian H.
Grain boundaries are dominant imperfections in nanocrystalline materials that form a complex 3-dimensional (3D) network. Solute segregation to grain boundaries is strongly coupled to the grain boundary character, which governs the stability and macro
Externí odkaz:
http://arxiv.org/abs/2409.01753
This onomasiological study uses diachronic word embeddings to explore how different words represented the same concepts over time, using historical word data from 1800 to 2000. We identify shifts in energy, transport, entertainment, and computing dom
Externí odkaz:
http://arxiv.org/abs/2408.16209
Autor:
Nandanwar, Siddharth, Desai, Aditya, Esfidani, S. Maryam Vaghefi, McMillan, Tristan, Janzen, Eli, Edgar, James H., Folland, Thomas G.
Van-der-Waals materials have been shown to support numerous exotic polaritonic phenomena originating from their layered structures and associated vibrational and electronic properties. This includes emergent polaritonic phenomena, including hyperboli
Externí odkaz:
http://arxiv.org/abs/2408.12015
Automated driving can have a huge impact on the transport system in passenger, as well as freight applications; however, market and technological development are difficult to foresee. Therefore, a systems analysis is called for to answer the question
Externí odkaz:
http://arxiv.org/abs/2408.11864
Recent advances in machine learning have significantly improved prediction accuracy in various applications. However, ensuring the calibration of probabilistic predictions remains a significant challenge. Despite efforts to enhance model calibration,
Externí odkaz:
http://arxiv.org/abs/2408.08998
Publikováno v:
Symmetry 16 (2024) 4, 394
We analyze the transformation of a very broad class of metrics that can be expressed in terms of static coordinates. Starting from a general ansatz, we obtain a relation for the parameters in which one can impose further symmetries or restrictions. O
Externí odkaz:
http://arxiv.org/abs/2408.08426
Autor:
Jayawardana, Vindula, Freydt, Baptiste, Qu, Ao, Hickert, Cameron, Sanchez, Edgar, Tang, Catherine, Taylor, Mark, Leonard, Blaine, Wu, Cathy
The sheer scale and diversity of transportation make it a formidable sector to decarbonize. Here, we consider an emerging opportunity to reduce carbon emissions: the growing adoption of semi-autonomous vehicles, which can be programmed to mitigate st
Externí odkaz:
http://arxiv.org/abs/2408.05609
Autor:
Hou, Shengren, Gao, Shuyi, Xia, Weijie, Duque, Edgar Mauricio Salazar, Palensky, Peter, Vergara, Pedro P.
Deep Reinforcement Learning (DRL) presents a promising avenue for optimizing Energy Storage Systems (ESSs) dispatch in distribution networks. This paper introduces RL-ADN, an innovative open-source library specifically designed for solving the optima
Externí odkaz:
http://arxiv.org/abs/2408.03685