Zobrazeno 1 - 10
of 61
pro vyhledávání: '"Shangdong LIU"'
Autor:
Yuchen Shi, Shangdong Liu, Sisi Shao, Yimu Ji, Fei Wu, Tiansheng Gu, Yulu Zheng, Yijun Nie, Zongkai Ji, Cailing Sun, Zeng Chen, Yawei Sun
Publikováno v:
IET Communications, Vol 18, Iss 17, Pp 1089-1106 (2024)
Abstract Turbo codes play a crucial role in wireless communication systems, and their compiled code structures are key factors affecting the performance of the entire communication system. As a result, the study of turbo compiled code structures has
Externí odkaz:
https://doaj.org/article/cdd0f86ab5cd4b11ade527e9fab971a9
Publikováno v:
IEEE Access, Vol 12, Pp 111932-111941 (2024)
Blockchain is gaining popularity as a technology that provides secure data sharing and management for the Internet of vehicles (IoV). The current research on cross-chaining between blockchains is still inefficient, and how to perform efficient cross-
Externí odkaz:
https://doaj.org/article/9ee3f76ec01540488da3e9280753d299
Publikováno v:
Sensors, Vol 24, Iss 15, p 4813 (2024)
In emergency situations, ensuring standardized cardiopulmonary resuscitation (CPR) actions is crucial. However, current automated external defibrillators (AEDs) lack methods to determine whether CPR actions are performed correctly, leading to inconsi
Externí odkaz:
https://doaj.org/article/9f3d5e46fe9344a291a52920879096c6
Publikováno v:
Sensors, Vol 24, Iss 10, p 3216 (2024)
The segmentation of abnormal regions is vital in smart manufacturing. The blurring sauce-packet leakage segmentation task (BSLST) is designed to distinguish the sauce packet and the leakage’s foreground and background at the pixel level. However, t
Externí odkaz:
https://doaj.org/article/e09e5367b45b4dc483bf9419f203df49
Publikováno v:
Applied Sciences, Vol 14, Iss 6, p 2510 (2024)
Keyphrase extraction is a critical task in text information retrieval, which traditionally employs both supervised and unsupervised approaches. Supervised methods generally rely on large corpora, which introduce the problems of availability, while un
Externí odkaz:
https://doaj.org/article/e9c4db473a03478f9db8e352a52c61bf
Publikováno v:
Applied Sciences, Vol 14, Iss 1, p 351 (2023)
Federated learning is a distributed learning method that seeks to train a shared global model by aggregating contributions from multiple clients. This method ensures that each client’s local data are not shared with others. However, research has re
Externí odkaz:
https://doaj.org/article/71ae5b2060674678a7a92aca8b1a72a0
Publikováno v:
BMC Bioinformatics, Vol 23, Iss 1, Pp 1-21 (2022)
Abstract Since the completion of the Human Genome Project at the turn of the century, there has been an unprecedented proliferation of sequencing data. One of the consequences is that it becomes extremely difficult to store, backup, and migrate enorm
Externí odkaz:
https://doaj.org/article/04e1c74c25ee429e940b4a64d779814e
Publikováno v:
Applied Sciences, Vol 13, Iss 18, p 10244 (2023)
Accurately segmenting the optic disk (OD) and optic cup (OC) on retinal fundus images is important for treating glaucoma. With the development of deep learning, some CNN-based methods have been implemented to segment OD and OC, but it is difficult to
Externí odkaz:
https://doaj.org/article/63e76dbe80604e00b23c2dfb0e9a42f3
Publikováno v:
Entropy, Vol 25, Iss 8, p 1167 (2023)
Recently, end-to-end deep models for video compression have made steady advancements. However, this resulted in a lengthy and complex pipeline containing numerous redundant parameters. The video compression approaches based on implicit neural represe
Externí odkaz:
https://doaj.org/article/622e20eff74542758ef5927051bdc3c6
Publikováno v:
Mathematics, Vol 11, Iss 15, p 3269 (2023)
Existing knowledge graph (KG) models for commonsense question answering present two challenges: (i) existing methods retrieve entities related to questions from the knowledge graph, which may extract noise and irrelevant nodes, and (ii) there is a la
Externí odkaz:
https://doaj.org/article/03e7ebbb9220405590c49885d58a3432