Zobrazeno 1 - 10
of 144
pro vyhledávání: '"Zhichao Lian"'
Publikováno v:
BMC Genomics, Vol 25, Iss 1, Pp 1-10 (2024)
Abstract Background The Assay for Transposase-Accessible Chromatin using sequencing (ATAC-seq) utilizes the Transposase Tn5 to probe open chromatic, which simultaneously reveals multiple transcription factor binding sites (TFBSs) compared to traditio
Externí odkaz:
https://doaj.org/article/0acd0da278f542fc8a7cb4a84201844d
Publikováno v:
IET Cyber-Physical Systems, Vol 9, Iss 1, Pp 41-49 (2024)
Abstract Recent work has shown that deep reinforcement learning (DRL) is vulnerable to adversarial attacks, so that exploiting vulnerabilities in DRL systems through adversarial attack techniques has become a necessary prerequisite for building robus
Externí odkaz:
https://doaj.org/article/a5cf5495005c41dfbcf146138605fbce
Publikováno v:
Axioms, Vol 12, Iss 10, p 997 (2023)
In the explainable artificial intelligence (XAI) field, an algorithm or a tool can help people understand how a model makes a decision. And this can help to select important features to reduce computational costs to realize high-performance computing
Externí odkaz:
https://doaj.org/article/348da603eb2e411cb6b9f8fb379611e2
Publikováno v:
IEEE Access, Vol 9, Pp 1116-1123 (2021)
The unmanned system based on mobile-edge computing (MEC) and blockchain can conveniently share computing resources and realize multi-devices collaboration. However, frequent data communication in the framework of object detection brings a heavy compu
Externí odkaz:
https://doaj.org/article/8009832be2174f7ea383d0f5aa622eed
Publikováno v:
IEEE Access, Vol 8, Pp 177351-177362 (2020)
In real-world surveillance systems, the person images captured by the camera network consists of various low-resolution (LR) images. It creates a resolution mismatching problem when compared against high-resolution images of a targeted person. It sig
Externí odkaz:
https://doaj.org/article/e6444ec9264748f392b73077592cb183
Publikováno v:
Frontiers in Neurorobotics, Vol 15 (2021)
In recent years, learning-based hashing techniques have proven to be efficient for large-scale image retrieval. However, since most of the hash codes learned by deep hashing methods contain repetitive and correlated information, there are some limita
Externí odkaz:
https://doaj.org/article/08f93be38ab64306809f7e9ea28fbdf8
Publikováno v:
Computational Intelligence and Neuroscience. 2023:1-9
With the development of artificial intelligence (AI) in the field of drug design and discovery, learning informative representations of molecules is becoming crucial for those AI-driven tasks. In recent years, the graph neural networks (GNNs) have em
Publikováno v:
Computer Modeling in Engineering & Sciences. 136:223-239
Publikováno v:
IEEE Access, Vol 6, Pp 2803-2811 (2018)
Respiratory motion causes difficulty in locating tumours in the thorax and upper abdomen for image-guided radiotherapy. Precisely predicting the respiratory-induced organ motion is still a challenging problem at present. In this paper, to predict the
Externí odkaz:
https://doaj.org/article/605a3411609642a3ba606a11ad28fd1d
Publikováno v:
Web and Big Data ISBN: 9783031252006
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::61cb3c2822168eec40af419b65ad96fa
https://doi.org/10.1007/978-3-031-25201-3_27
https://doi.org/10.1007/978-3-031-25201-3_27