[KNYGA][B] Machine learning under resource constraints

K Morik, J Rahnenführer, C Wietfeld - 2023 - degruyter.com
Machine learning under resource constraints Katharina Morik, Peter Marwedel (Eds.) Machine
Learning under Resource Constraints· Fundamentals Page 2 Also of interest Volume 2 …

What can we expect from Quantum (Digital) Twins?

M Amir, C Bauckhage, A Chircu, C Czarnecki, C Knopf… - 2022 - aisel.aisnet.org
Digital twins enable the modeling and simulation of real-world entities (objects, processes or
systems), resulting in improvements in the associated value chains. The emerging field of …

[HTML][HTML] Automated generation of deployment descriptors for managing microservices-based applications in the cloud to edge continuum

J DesLauriers, J Kovacs, T Kiss, A Stork… - Future Generation …, 2025 - Elsevier
With the emergence of Internet of Things (IoT) devices collecting large amounts of data at
the edges of the network, a new generation of hyper-distributed applications is emerging …

Quantum-inspired structure-preserving probabilistic inference

S Mücke, N Piatkowski - 2022 IEEE Congress on Evolutionary …, 2022 - ieeexplore.ieee.org
Probabilistic methods serve as the underlying frame-work of various machine learning
techniques. When using these models, a central problem is that of computing the partition …

[PDF][PDF] 9.2 Power Consumption Analysis and Uplink Transmission Power

R Falkenberg - Also of interest, 2022 - library.oapen.org
The penetration of wireless communication systems in industrial and private environments is
constantly increasing due to their flexible and mobile application possibilities. Wearables …