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pro vyhledávání: '"On, Tommy"'
We consider a mesh network at the edge of a wireless network that connects users with the core network via multiple base stations. For this scenario we present a novel tree-search based algorithm that determines the optimal communication path to the
Externí odkaz:
http://arxiv.org/abs/2411.10228
Autor:
Brüsch, Thea, Wickstrøm, Kristoffer K., Schmidt, Mikkel N., Jenssen, Robert, Alstrøm, Tommy S.
State-of-the-art methods for explaining predictions based on time series are built on learning an instance-wise saliency mask for each time step. However, for many types of time series, the salient information is found in the frequency domain. Adopti
Externí odkaz:
http://arxiv.org/abs/2411.05841
Autor:
Okafor, Chukwudubem, Herrin, Jacob, Picu, Catalin R., Sewell, Tommy, Brennan, John, Larentzos, James, Udaykumar, H. S.
Meso-scale calculations of pore collapse and hotspot formation in energetic crystals provide closure models to macro-scale hydrocodes for predicting the shock sensitivity of energetic materials. To this end, previous works obtained atomistics-consist
Externí odkaz:
http://arxiv.org/abs/2410.22174
Autor:
Sfeir, Anthony, Petkova, Asya, Chaaya, Sabine, Chichova, Karina, Rossi, Marta, Vock, Anna, Mosut, Alessandro, Saravanaraj, Akshayanivasini Ramasamy, Sumini, Valentina, Nilsson, Tommy
As humans venture deeper into space, the need for a lunar settlement, housing the first group of settlers, grows steadily. By means of new technologies such as in situ resource utilisation (ISRU) as well as computational design, this goal can be impl
Externí odkaz:
http://arxiv.org/abs/2410.17114
Contrastive learning yields impressive results for self-supervision in computer vision. The approach relies on the creation of positive pairs, something which is often achieved through augmentations. However, for multivariate time series effective au
Externí odkaz:
http://arxiv.org/abs/2410.19842
Autor:
Bensch, Oliver, Bensch, Leonie, Nilsson, Tommy, Saling, Florian, Sadri, Wafa M., Hartmann, Carsten, Hecking, Tobias, Kutz, J. Nathan
As humanity prepares for new missions to the Moon and Mars, astronauts will need to operate with greater autonomy, given the communication delays that make real-time support from Earth difficult. For instance, messages between Mars and Earth can take
Externí odkaz:
http://arxiv.org/abs/2410.16397
Autor:
Saling, Florian, Casini, Andrea Emanuele Maria, Treuer, Andreas, Costantini, Martial, Bensch, Leonie, Nilsson, Tommy, Ferra, Lionel
The use of eXtended Reality (XR) technologies in the space domain has increased significantly over the past few years as it can offer many advantages when simulating complex and challenging environments. Space agencies are currently using these disru
Externí odkaz:
http://arxiv.org/abs/2410.14922
Digital twinning is becoming increasingly vital in the design and real-time control of future wireless networks by providing precise cost-effective simulations, predictive insights, and real-time data integration. This paper explores the application
Externí odkaz:
http://arxiv.org/abs/2410.14620
Autor:
Applegate, Travis, Brenny, Noah, Chen, Chunhui, Choudhury, Seema, Cochran, James, Kang, Shuaiyan, Khatri, Avinash, Kindo, Haruki, Lam, Tommy, Mitra, Sayan, Mubarak, Adil, Piilonen, Leo, Prell, Soeren, Veronesi, Michele
We have designed and commissioned a new readout board to detect photosensor signals from gas-bubbler panels to continuously monitor the gas flow through the resistive plate chambers of the $K_L^0$ and muon detector of Belle II. The gas flow measureme
Externí odkaz:
http://arxiv.org/abs/2410.10261
Predicting future interactions or novel links in networks is an indispensable tool across diverse domains, including genetic research, online social networks, and recommendation systems. Among the numerous techniques developed for link prediction, th
Externí odkaz:
http://arxiv.org/abs/2410.08777