Zobrazeno 1 - 10
of 2 287
pro vyhledávání: '"Sun Jianguo"'
Publikováno v:
Tongxin xuebao, Vol 45, Pp 101-114 (2024)
To address the limitations of current deep learning-based methods in extracting contract bytecode features and representing vulnerability semantics, as well as the shortcomings of the traditional graph neural networks in learning temporal information
Externí odkaz:
https://doaj.org/article/fcb835e5a8904ff286559029ffdd8fed
Publikováno v:
Di-san junyi daxue xuebao, Vol 43, Iss 19, Pp 1913-1924 (2021)
Objective To investigate the accuracy of 4-dimensional computed tomography (4DCT) image reconstruction in uniform motion state using respiratory motion phantom. Methods The cosine wave movements of lung tumor in the craniocaudal direction were simula
Externí odkaz:
https://doaj.org/article/85c1eba441b842d6a3b013e2d1299804
Time series forecasting is crucial in many fields, yet current deep learning models struggle with noise, data sparsity, and capturing complex multi-scale patterns. This paper presents MFF-FTNet, a novel framework addressing these challenges by combin
Externí odkaz:
http://arxiv.org/abs/2411.17382
Synchronizing production and test code, known as PT co-evolution, is critical for software quality in the software development lifecycle. Existing methods for automatic PT co-evolution either utilize predefined heuristic rules or rely on simple appli
Externí odkaz:
http://arxiv.org/abs/2411.11033
Publikováno v:
Di-san junyi daxue xuebao, Vol 43, Iss 17, Pp 1673-1678 (2021)
Objective To explore the effects of anti-drug antibody (ADA) on clinical efficacy and adverse reactions in patients with non-small cell lung cancer (NSCLC) treated with immune checkpoint inhibitors (ICIs). Methods A total of 26 patients with stage
Externí odkaz:
https://doaj.org/article/4104b26225c547e9b0e84d92da07da8f
Ethereum faces growing fraud threats. Current fraud detection methods, whether employing graph neural networks or sequence models, fail to consider the semantic information and similarity patterns within transactions. Moreover, these approaches do no
Externí odkaz:
http://arxiv.org/abs/2409.07494
Autor:
Liu, Tianxu, Wang, Yanbin, Sun, Jianguo, Tian, Ye, Huang, Yanyu, Xue, Tao, Li, Peiyue, Liu, Yiwei
As blockchain technology rapidly evolves, the demand for enhanced efficiency, security, and scalability grows.Transformer models, as powerful deep learning architectures,have shown unprecedented potential in addressing various blockchain challenges.
Externí odkaz:
http://arxiv.org/abs/2409.02139
Publikováno v:
Di-san junyi daxue xuebao, Vol 42, Iss 5, Pp 480-486 (2020)
Objective To analyze the real-world data about immune checkpoint inhibitors (ICIs) for advanced non-small cell lung cancer (NSCLC) based on the modified RECIST 1.1 for immune based therapeutics (iRECIST). Methods According to real-world research meth
Externí odkaz:
https://doaj.org/article/d73d1ce9b17441c3b83a60f8997166d1
Publikováno v:
Di-san junyi daxue xuebao, Vol 41, Iss 13, Pp 1261-1266 (2019)
Objective To investigate the predictive value of neutrophil to lymphocyte ratio (NLR) in the peripheral blood and its changes (ΔNLR) after radiotherapy in advanced non-small cell lung cancer (NSCLC) patients. Methods The clinical data of 70 patients
Externí odkaz:
https://doaj.org/article/6a71c5a831b2441287c8a17b4c00371d
Publikováno v:
Di-san junyi daxue xuebao, Vol 41, Iss 12, Pp 1156-1160 (2019)
Objective To analyze the clinical characteristics and survival of patients with pulmonary large cell neuroendocrine carcinoma (PLCNEC) and construct a nomogram model for predicting its prognosis. Methods We searched the Surveillance, Epidemiology, an
Externí odkaz:
https://doaj.org/article/02512512bded4d54b8fbd835c867c971