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FW-NKF: Frequency-Weighted Neural Kalman Filters

arXiv:2606.02251v1 Announce Type: new Abstract: Robust state estimation is central to robotic autonomy, yet classical Kalman filters struggle with frequency-dependent disturbances and model mismatch such as sensor vibrations, electromagnetic interference, and periodic noise. Although Deep Kalman Filter (DKF) variants extend the Extended Kalman Filtering (EKF) framework by learning latent transitions, they lack explicit mechanisms to suppress band-limited noise components that typically...

arXiv CS 8d ago

Ranking the 21 best U21 players at the 2026 World ...

The FIFA World Cup is the biggest tournament in sport, and it's a great place to show off your talent as a young player! The list of teenagers to have made their breakthrough at a World Cup is long, and includes the likes of Pelé, Kylian Mbappé, Michael Owen and Thomas Müller. But who might do so this summer?

ESPN 7d ago

Pulisic an 8/10, USMNT's best player in pre-World ...

Christian Pulisic nabbed a goal and an assist in the first half before Folarin Balogun's eventual game-winning goal in the second half paced the U.S. men's national team in their 3-2 friendly win Sunday against Senegal at Bank of America Stadium in Charlotte. Pulisic set up Sergiño Dest's opener before scoring one himself to give the U.S. a 2-0 lead before Sadio Mané scored on both sides of halftime in a chaotic second half that was decided by Balogun's goal. Of course, this was the first of...

ESPN 9d ago

16 players who could use World Cup to get a big tr...

The FIFA World Cup is the biggest stage in sports, and thanks to an expanded 48-team format for 2026, every player knows this is the biggest audience they'll ever command. It's the kind of spectacle that can launch careers and generate blockbuster transfers, as excitement over particular players will reach a fever pitch. For example, in 2014, Colombia's James Rodríguez won the World Cup Golden Boot and earned a €75 million move to Real Madrid.

ESPN 3d ago

Block coordinate descent for joint delay-energy optimization in multi-hop D2D networks

Announce Type: cross Abstract: In multi-hop device-to-device (D2D) networks, the optimization of network-level metrics is particularly difficult due to the tight coupling between network-layer routing and physical-layer resource allocation. Departing from traditional average-performance metrics, this paper addresses the joint optimization of routing paths, transmission power, and bandwidth allocation. We formulate a generalized cost function to minimize the maximum transmission time (i.e.,...

arXiv CS 1d ago