Zobrazeno 1 - 10
of 1 097
pro vyhledávání: '"network robustness"'
Publikováno v:
International Journal of Computational Intelligence Systems, Vol 17, Iss 1, Pp 1-16 (2024)
Abstract Adversarial patches, a type of adversarial example, pose serious security threats to deep neural networks (DNNs) by inducing erroneous outputs. Existing gradient stabilization methods aim to stabilize the optimization direction of adversaria
Externí odkaz:
https://doaj.org/article/19206d3a309a44ea8e8093627c459d08
Publikováno v:
Complex & Intelligent Systems, Vol 10, Iss 5, Pp 6825-6837 (2024)
Abstract Significant structural differences in DNN-based object detectors hinders the transferability of adversarial attacks. Studies show that intermediate features extracted by the detector contain more model-independent information, and disrupting
Externí odkaz:
https://doaj.org/article/372584eec4da4ccdafc23686cbfd546c
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-19 (2024)
Abstract Ongoing rapid urbanization has triggered significant changes in land use, rendering landscape patterns adversely impacted and certain habitat patches degraded. Ecological networks have consequently contracted overall. As such, an investigati
Externí odkaz:
https://doaj.org/article/adc70789d5f24c8da4bd93c1e369fabd
Autor:
Ding Ma, Zhigang Deng, Chengyue Zhang, Renzhong Guo, Minmin Li, Wei Zhu, Xiaoming Li, Ye Zheng, Wuyang Hong, Miaoxi Zhao, Haochen Shi
Publikováno v:
International Journal of Digital Earth, Vol 17, Iss 1 (2024)
In this study, we explore the robustness of urban road networks, a crucial aspect of urban infrastructure whose failure can significantly disrupt urban functionality. Our approach offers a fresh perspective on network robustness by focusing on intrin
Externí odkaz:
https://doaj.org/article/c97a5b6511594bcd976a6a716e139bf6
Publikováno v:
Ecological Indicators, Vol 164, Iss , Pp 112152- (2024)
Maintaining and restoring ecological connectivity (EC) are important measures of mitigating habitat isolation caused by urbanization. Considering the prominent contradiction of land use in highly urbanized areas, the EC protection measures proposed i
Externí odkaz:
https://doaj.org/article/3c3761812bda418e9fed8761a90723cb
Publikováno v:
Phytobiomes Journal, Vol 7, Iss 3, Pp 324-338 (2023)
Genetic and environmental cues affecting seed microbial communities have been investigated to assess the ecological characteristics of seed microbial communities. However, little is known concerning seed-to-seed microbial variations and ecological dr
Externí odkaz:
https://doaj.org/article/f3ff4f3881c74a948502558916d3a32a
Publikováno v:
Ecosphere, Vol 15, Iss 3, Pp n/a-n/a (2024)
Abstract Keystone species are more important than others for community dynamics and stability. Keystone species can be identified and evaluated by their centrality (i.e., a relative ranking of the topological positional importance of a species) in ec
Externí odkaz:
https://doaj.org/article/ce458a6c63174f62ba841a1934b6f560
Publikováno v:
Mathematics, Vol 12, Iss 10, p 1568 (2024)
Weight thresholding (WT) is a method intended to decrease the number of links within weighted networks that may otherwise be excessively dense for network science applications. WT aims to remove links to simplify the network by holding most of the fe
Externí odkaz:
https://doaj.org/article/bddc4585d42047a992d1a54def929a48
Autor:
Guozhuang Zhang, Liping Shi, Congsheng Liu, Renjun Mao, Bing Xia, Zhixin Huang, Xiuye Wei, Lixuan Wu, Yuqing Zheng, Guangfei Wei, Jia Xu, Shuangrong Gao, Shilin Chen, Linlin Dong
Publikováno v:
Environmental Microbiome, Vol 18, Iss 1, Pp 1-15 (2023)
Abstract Background The phyllosphere mycobiome plays a crucial role in plant fitness and ecosystem functions. The complex microbial ecological networks (MEN) formed by these fungi remain poorly understood, particularly with regard to their organizati
Externí odkaz:
https://doaj.org/article/30c5d2c8bfdf4f7fb99ea83e171aa525
Publikováno v:
Journal of King Saud University: Computer and Information Sciences, Vol 36, Iss 1, Pp 101901- (2024)
Deep neural networks (DNNs) are vulnerable to adversarial attacks, which can cause security risks in computer information systems. Feature disruption attacks, as a typical form of adversarial attack, optimize adversarial examples by disrupting the in
Externí odkaz:
https://doaj.org/article/ee5d1a332b0c486fb70b2303e70c0df0