Tootfinder

DLR untersucht Drohnenvorfälle an deutschen Flughäfen
2024 wurden dem Luftfahrt-Bundesamt 118 Drohnenvorfälle gemeldet. Das DLR hat diese unter anderem auf wirtschaftliche Schäden untersucht.
https://www.

Bessere Satellitenkommunikation: DE-CIX und DLR arbeiten zusammen
DE-CIX und das DLR entwickeln bis 2026 Technologie für LEO-Satelliten. Mit einem Space-IX will DE-CIX sein Wissen als Knotenbetreiber ins All übertragen.

Das DLR jagt feindliche Drohnen
Immer häufiger werden unerwünschte Drohne bei kritischen Infrastrukturen gesichtet. Das DLR testet Methoden, um diese unschädlich zu machen.
https://www.heise.de/news/Das-DLR-j…

DLR veröffentlicht Video vom Flug über den Mars
Das DLR hat aus Bildern der Sonde Mars Express einen virtuellen Flug über den Mars erstellt.
https://www.heise.de/news/DLR-veroeffentli

Dust devil migration patterns reveal strong near-surface winds across #Mars: https://www.science.org/doi/10.1126/sciadv.adw5170 -> Dancing dust devils trace raging winds on Mars / Raging winds on Mars / How fast winds sweep across Mars: https://www.esa.int/Science_Exploration/Space_Science/Mars_Express/Dancing_dust_devils_trace_raging_winds_on_Mars / https://mediarelations.unibe.ch/media_releases/2025/media_releases_2025/raging_winds_on_mars/index_eng.html / https://www.dlr.de/en/latest/news/2025/how-fast-winds-sweep-across-mars

ReCross: Efficient Embedding Reduction Scheme for In-Memory Computing using ReRAM-Based Crossbar
Yu-Hong Lai, Chieh-Lin Tsai, Wen Sheng Lim, Han-Wen Hu, Tei-Wei Kuo, Yuan-Hao Chang
https://arxiv.org/abs/2509.10627

ReCross: Efficient Embedding Reduction Scheme for In-Memory Computing using ReRAM-Based Crossbar
Deep learning-based recommendation models (DLRMs) are widely deployed in commercial applications to enhance user experience. However, the large and sparse embedding layers in these models impose substantial memory bandwidth bottlenecks due to high memory access costs and irregular access patterns, leading to increased inference time and energy consumption. While resistive random access memory (ReRAM) based crossbars offer a fast and energy-efficient solution through in-memory embedding reductio…

london_transport: London Transport Network
Multiplex network with 3 edge types representing links within the three layers of London train stations: Underground, Overground and DLR.
This network has 369 nodes and 441 edges.
Tags: Transportation, Public Transport, Multilayer, Weighted
https://networks.skew…

Dynamic Line Ratings in AC Optimal Power Flow: Transient Temperature, Decomposition, and Large-scale Evaluation
Baptiste Rabecq, Thomas Lee, Andy Sun
https://arxiv.org/abs/2510.10832

Dynamic Line Ratings in AC Optimal Power Flow: Transient Temperature, Decomposition, and Large-scale Evaluation
As power grids experience increasing renewable penetration and rapid load growth from AI data centers and electrification, alleviating line congestion becomes critical to unlocking additional grid capacity. This work investigates Dynamic Line Rating (DLR), a congestion mitigation method that adjusts power line current limits in response to meteorological conditions. Unlike traditional approaches that impose predefined time-varying limits, we propose a novel optimization framework that embeds th…

london_transport: London Transport Network
Multiplex network with 3 edge types representing links within the three layers of London train stations: Underground, Overground and DLR.
This network has 369 nodes and 441 edges.
Tags: Transportation, Public Transport, Multilayer, Weighted
https://networks.skew…

london_transport: London Transport Network
Multiplex network with 3 edge types representing links within the three layers of London train stations: Underground, Overground and DLR.
This network has 369 nodes and 441 edges.
Tags: Transportation, Public Transport, Multilayer, Weighted
https://networks.skew…