Zobrazeno 1 - 10
of 7 087
pro vyhledávání: '"Gf"'
Publikováno v:
Hyundai GF Holdings Co. Ltd. MarketLine Company Profile. 10/4/2023, p1-13. 13p.
Publikováno v:
GF Securities Co. Ltd. MarketLine Company Profile. 1/21/2022, p1-20. 21p.
Publikováno v:
GF Securities Co. Ltd. MarketLine Company Profile. 11/15/2021, p1-21. 21p.
Publikováno v:
Machine Learning with Applications, Vol 17, Iss , Pp 100581- (2024)
The Gradient-Free Kernel Conditional Stein Discrepancy (GF-KCSD), presented in our prior work, represents a significant advancement in goodness-of-fit testing for conditional distributions. This method offers a robust alternative to previous gradient
Externí odkaz:
https://doaj.org/article/14cdf448635d499a8b5b4ba74607c173
Publikováno v:
Frontiers in Earth Science, Vol 12 (2024)
Paleomagnetic data enables the global reconstruction of the geomagnetic field, allowing the investigation of significant events like polarity reversals and excursions. When compared to prior polarity reversals, the most recent one, the Matuyama-Brunh
Externí odkaz:
https://doaj.org/article/58664f713cb74c22aa4e14f9c597c176
Publikováno v:
Virtual Reality & Intelligent Hardware, Vol 6, Iss 1, Pp 56-70 (2024)
Background: Considerable research has been conducted in the areas of audio-driven virtual character gestures and facial animation with some degree of success. However, few methods exist for generating full-body animations, and the portability of virt
Externí odkaz:
https://doaj.org/article/86ff3351f0444248bbada14da85a64cf
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 20150-20163 (2024)
Image sharpness assesses detail visibility in remote-sensing images and measures sensors' details resolution capability. Sensor aging and environmental changes can degrade image sharpness and quality. The Gaofen (GF) satellites provide diverse remote
Externí odkaz:
https://doaj.org/article/63a00fe3f17c43818bd7061d3e998753
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 15816-15833 (2024)
Coastal change detection holds significant importance in the management of marine resources, coastal city change analysis, coastal land planning, and utilization. Deep learning-based remote sensing semantic change detection has evolved into a crucial
Externí odkaz:
https://doaj.org/article/7294cbbd42b34386956346a64336e95e