Pipe Resistance Loss Calculation in Industry 4.0: An Innovative Framework Based on TransKAN and Generative AI
As the demand for deep mineral resource extraction intensifies, optimizing pipeline transportation systems in backfill mining has become increasingly critical. Thus, reducing energy loss while ensuring the filling effect becomes crucial for improving process efficiency. Owing to variations among min...
Saved in:
| Main Authors: | Qinyu Zhang, Huiying Liu, Zhike Liu, Yongkang Liu, Yuhan Gong, Chonghao Wang |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2025-06-01
|
| Series: | Sensors |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1424-8220/25/12/3803 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
The Background for Associations in the Short Story of “Cuckoo Clock” in the Collection Kan Ma Kan
by: hasan goodarzi lemraski, et al.
Published: (2017-03-01) -
FEUD IN RURAL TURKEY / TÜRKİYE KIRSAL ALANINDA KAN DÂVASI
by: Sinan ÇAYA
Published: (2011-03-01) -
AKTMD: Attention-KAN-Based Neural Networks for Transportation Mode Detection
by: Rui Li, et al.
Published: (2025-01-01) -
Performer-KAN-Based Failure Prediction for IGBT with BO-CEEMDAN
by: Yue Xiao, et al.
Published: (2025-06-01) -
Osmanlı Türkiyesinde Kuzudan İnsana Kan Nakli
by: Mahmut Murat Demirtaş
Published: (2025-05-01)