Zobrazeno 1 - 10
of 771
pro vyhledávání: '"DCGAN"'
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-16 (2024)
Abstract Privacy and security concerns restrict access to original training datasets, posing significant challenges for model compression. Data-Free Knowledge Distillation (DFKD) emerges as a solution, aiming to transfer knowledge from teacher to stu
Externí odkaz:
https://doaj.org/article/544774615602425bb151766ef1f07e9c
Autor:
Pooja Singhal, Deepak Aneja, Musaed Alhussein, Ritu Gupta, Khursheed Aurangzeb, Nitish Pathak
Publikováno v:
Elektronika ir Elektrotechnika, Vol 30, Iss 5, Pp 83-91 (2024)
A non-fungible token (NFT) is a kind of digital asset that signifies ownership or proof of authenticity of a special good or piece of material, such as artwork, music, films, or tweets. This study investigates how a deep convolutional generative adve
Externí odkaz:
https://doaj.org/article/ce7e488974134dfa90e88cd076818eae
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-22 (2024)
Abstract The development of soft computing methods has had a significant influence on the subject of autonomous intelligent agriculture. This paper offers a system for autonomous greenhouse navigation that employs a fuzzy control algorithm and a deep
Externí odkaz:
https://doaj.org/article/b06a14d9a70e4851966c9d4755ad2ae3
Autor:
Xu Li, Longlin Zhang
Publikováno v:
Systems and Soft Computing, Vol 6, Iss , Pp 200140- (2024)
With the improvement of people's living standards and the rapid growth of national technological strength, wearable devices have gradually integrated into people's daily lives, making them convenient for people's work and lives. Traditional fabric de
Externí odkaz:
https://doaj.org/article/293a5832ae544af89f60d248ff30e14b
Publikováno v:
Cogent Engineering, Vol 11, Iss 1 (2024)
AbstractAutomatic type identification of sub-axial spine fractures is of prime importance for orthopaedicians to reduce image interpretation time and increase patient care time. But identifying fracture types is challenging due to imbalanced datasets
Externí odkaz:
https://doaj.org/article/9b76f7b3c76f49f1a0dc8f4640142596
Autor:
John Jenkins, Kaushik Roy
Publikováno v:
Discover Artificial Intelligence, Vol 4, Iss 1, Pp 1-22 (2024)
Abstract Over the past few years, there has been a proliferation of research in the area of generative adversarial networks (GANs). GANs present a novel approach to producing synthetic data in varying fields including medicine, traffic control, text
Externí odkaz:
https://doaj.org/article/f8951681c59e43c78094925544781558
Publikováno v:
Heliyon, Vol 10, Iss 18, Pp e37167- (2024)
With the advancement of technology in recent years, the application of artificial intelligence in real life has become more extensive. Graphic recognition is a hot spot in the current research of related technologies. It involves machines extracting
Externí odkaz:
https://doaj.org/article/d4b455e488124e5eb02f7fa5bc36a650
Publikováno v:
In International Journal of Electrical Power and Energy Systems November 2024 162
Autor:
Hu, Fei a, Gou, Hong-ye a, b, c, ⁎, Yang, Hao-zhe a, e, Yan, Huan a, Ni, Yi-qing d, Wang, You-wu d
Publikováno v:
In Journal of Infrastructure Intelligence and Resilience March 2025 4(1)