Zobrazeno 1 - 10
of 2 495
pro vyhledávání: '"residual neural network"'
Publikováno v:
Zhongguo yiliao qixie zazhi, Vol 48, Iss 5, Pp 498-504 (2024)
Bowel sounds can reflect the movement and health status of the gastrointestinal tract. However, the traditional manual auscultation method has subjective deviation and is time-consuming and labor-intensive. In order to better assist doctors in diagno
Externí odkaz:
https://doaj.org/article/8f355eea386846528b9d594aa9009951
Publikováno v:
Big Data Mining and Analytics, Vol 7, Iss 3, Pp 668-681 (2024)
Prediction of enhancer-promoter interactions (EPIs) is key to regulating gene expression and diagnosing genetic diseases. Due to limited resolution, biological experiments perform not as well as expected while precisely identifying specific interacti
Externí odkaz:
https://doaj.org/article/0d280fd5822a4394bed6baa6761aba8a
Publikováno v:
International Journal of Applied Earth Observations and Geoinformation, Vol 134, Iss , Pp 104174- (2024)
Accurate and continuous PM2.5 data is essential for effective prevention of PM2.5 pollution. Despite the achievements of deep learning methods in estimating PM2.5 concentrations, existing neural network models have relied too much on the self-learnin
Externí odkaz:
https://doaj.org/article/70c9bd44015f4d9396ba76f5394bdf85
Autor:
Yu Wang, Udaya Suriya Rajkumar Dhamodharan, Nadeem Sarwar, Faris A. Almalki, Qamar H. Naith, Sathiyaraj R, Mohan D
Publikováno v:
Discover Sustainability, Vol 5, Iss 1, Pp 1-16 (2024)
Abstract Agriculture is an essential sector that plays a necessary role in the economic improvement of a country. Prediction of plant diseases at the earliest stage may result in better yield and sustainable for growing population. The conventional m
Externí odkaz:
https://doaj.org/article/2cf63d2fab7c4fbdb6810bd15a06fca6
Publikováno v:
Defence Technology, Vol 33, Iss , Pp 364-373 (2024)
Automatic modulation recognition (AMR) of radiation source signals is a research focus in the field of cognitive radio. However, the AMR of radiation source signals at low SNRs still faces a great challenge. Therefore, the AMR method of radiation sou
Externí odkaz:
https://doaj.org/article/1e8479ac0e9a4578a4c00fe3bdfe55a4
Publikováno v:
Shanghai Jiaotong Daxue xuebao, Vol 58, Iss 2, Pp 188-200 (2024)
In order to achieve rapid and accurate prediction of the hydrodynamic performance of propellers, a set of propeller hydrodynamic performance prediction model was established based on the improved residual connection network. The residual connection m
Externí odkaz:
https://doaj.org/article/e90dc0553bf540bf840011089c7dc5e5
Publikováno v:
IEEE Access, Vol 12, Pp 135535-135550 (2024)
Intrusion detection systems (IDS) identify network intrusions by detecting abnormal traffic data, thereby ensuring network security. However, intrusion detection data can vary with changes in the network and attack environment, resulting in poor perf
Externí odkaz:
https://doaj.org/article/91ee6d00f53842ba97bc931645c918af
Publikováno v:
IEEE Access, Vol 12, Pp 75462-75473 (2024)
Aiming at the lack of accuracy and effectiveness of the current shield machine speed prediction method, the study proposes to improve the residual network and combine this improved algorithm with the surrounding rock category prediction model to cons
Externí odkaz:
https://doaj.org/article/3beb8cc94e864dbbb105a36cbc9428f2
Publikováno v:
Sensors, Vol 24, Iss 20, p 6672 (2024)
High-resolution remote sensing imagery, reaching meter or sub-meter levels, provides essential data for extracting and identifying road information. However, rural roads are often narrow, elongated, and have blurred boundaries, with textures that res
Externí odkaz:
https://doaj.org/article/2702a88e5f1f4db4a016b351f6c85b9e
Publikováno v:
Machines, Vol 12, Iss 9, p 599 (2024)
A high-pressure hydraulically adjusted servomotor is an electromechanical–hydraulic integrated system centered on a servo valve that plays a crucial role in ensuring the safe and stable operation of steam turbines. To address the issues of difficul
Externí odkaz:
https://doaj.org/article/3c4a2e1071004627a2532ba64bd9ed6a