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Ikuti perkembangan terkini klasemen Kejuaraan Pembalap dan Konstruktor Formula 1 saat para pembalap dan tim bersaing untuk memperebutkan gelar juara.

Klasemen Kejuaraan Pembalap

Posisi | Pembalap | Poin
1 | Andrea Kimi Antonelli | 72
2 | George Russell | 63
3 | Charles Leclerc | 49
4 | Lewis Hamilton | 41
5 | Lando Norris | 25
6 | Oscar Piastri | 21
7 | Oliver Bearman | 17
8 | Pierre Gasly | 15
9 | Max Verstappen | 12
10 | Liam Lawson | 10
11 | Arvid Lindblad | 4
12 | Isack Hadjar | 4
13 | Gabriel Bortoleto | 2
14 | Carlos Sainz Jr | 2
15 | Esteban Ocon | 1
16 | Franco Colapinto | 1
17 | Nico Hulkenberg | 0
18 | Alexander Albon | 0
19 | Valtteri Bottas | 0
20 | Sergio Perez | 0
21 | Fernando Alonso | 0
22 | Lance Stroll | 0

Klasemen Kejuaraan Konstruktor

Posisi | Tim | Poin
1 | Mercedes-AMG Petronas | 135
2 | Scuderia Ferrari | 90
3 | McLaren Racing | 46
4 | Haas F1 Team | 18
5 | Alpine F1 Team | 16
6 | Red Bull Racing | 16
7 | Racing Bulls | 14
8 | Audi Revolut F1 Team | 2
9 | Williams F1 Team | 2
10 | Cadillac Formula 1 Team | 0
11 | Aston Martin F1 Team | 0

Diupdate pada

2026-07-24

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Peringkat dan ulasan

Pengguna_sb336

⭐⭐⭐⭐⭐ · 2026-07-24

Millimeter wave (mmWave) communication is a promising technique to meet the demands of data-rate hungry applications in vehicular networks. Multiple-input multiple-output (MIMO) and beamforming technique are usually adopted in mmWave communications to overcome the high path and penetration losses. However, the high mobility of vehicles would result in significant beam training overhead in the mmWave vehicular communications. Hence, in this paper, a fast consecutive beam tracking (FC-BET) scheme based on long short-term memory (LSTM) is proposed. By predicting beam angles through the LSTM network consecutively, the overhead caused by frequent beam training in mmWave vehicular communications can be reduced. To evaluate the proposed scheme, a time series channel dataset is built by using sequential vehicle information generated from road traffic simulation software named “Simulation of Urban MObility (SUMO)”. Simulation results show that the FCBET scheme can significantly reduce overhead with an acceptable loss in spectral efficiency compared with conventional beam training schemes.

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