Zobrazeno 1 - 10
of 100
pro vyhledávání: '"Junlan Feng"'
Publikováno v:
Applied Sciences, Vol 14, Iss 17, p 7614 (2024)
Pre-trained language models (PLMs) are proficient at understanding context in plain text but often struggle with the nuanced linguistics of task-oriented dialogues. The information exchanges in dialogues and the dynamic role-shifting of speakers cont
Externí odkaz:
https://doaj.org/article/937217f4218a44778935b49b7dd9f26b
Publikováno v:
Intelligent Computing, Vol 3 (2024)
With the widespread deployment of 5G networks and the proliferation of mobile devices, mobile network operators are confronted not only with massive data growth in mobile traffic, but also with highly complex and dynamic traffic patterns. Given these
Externí odkaz:
https://doaj.org/article/99b18e70edfd4c20a11843b0a0e26c0f
Publikováno v:
Applied Sciences, Vol 14, Iss 7, p 3106 (2024)
Controllable Text Generation (CTG) aims to modify the output of a Language Model (LM) to meet specific constraints. For example, in a customer service conversation, responses from the agent should ideally be soothing and address the user’s dissatis
Externí odkaz:
https://doaj.org/article/70f5e37a09d74b0fbeaac17507332143
Autor:
Zafar Ali, Yi Huang, Irfan Ullah, Junlan Feng, Chao Deng, Nimbeshaho Thierry, Asad Khan, Asim Ullah Jan, Xiaoli Shen, Wu Rui, Guilin Qi
Publikováno v:
Data Intelligence, Vol 5, Iss 2, Pp 303-354 (2023)
ABSTRACTMaking medication prescriptions in response to the patient's diagnosis is a challenging task. The number of pharmaceutical companies, their inventory of medicines, and the recommended dosage confront a doctor with the well-known problem of in
Externí odkaz:
https://doaj.org/article/e01a4936266e4dc68c31a82a5dee2533
Autor:
Xiaolei Hua, Lin Zhu, Shenglin Zhang, Zeyan Li, Su Wang, Chao Deng, Junlan Feng, Zhao Zhang, Wei Wu
Publikováno v:
Electronics Letters, Vol 59, Iss 1, Pp n/a-n/a (2023)
Abstract The reliability of wireless base stations is essential to guarantee the user experiences in wireless networks, thereby employing the anomaly detection on multivariate time series is indispensable for network operators to monitor the behaviou
Externí odkaz:
https://doaj.org/article/0b214b5b2eee42b890d8affb26a7bebc
Autor:
Lingli DENG, Ninglun GU, Xiangyang YUAN, Li YU, Junlan FENG, Chao DENG, Zhiqiang YANG, Tongxu ZHANG, Rongyu WU, Xinpeng ZHANG
Publikováno v:
Dianxin kexue, Vol 37, Pp 12-21 (2021)
Network intelligence is the deep integration of AI technology and communication network hardware, software, systems, processes, etc.to improve process intelligence, reduce costs, increase efficiency, improve quality, accelerate technology innovation,
Externí odkaz:
https://doaj.org/article/495ce3301f15424e9f2a112d6b969678
Autor:
Muhammad Asif Khan, Yi Huang, Junlan Feng, Bhuyan Kaibalya Prasad, Zafar Ali, Irfan Ullah, Pavlos Kefalas
Publikováno v:
Applied Sciences, Vol 13, Iss 3, p 1775 (2023)
The modern digital world and associated innovative and state-of-the-art applications that characterize its presence, render the current digital age a captivating era for many worldwide. These innovations include dialogue systems, such as Apple’s Si
Externí odkaz:
https://doaj.org/article/ca2bf08ae1ea4feabdc7eca92d16fd4f
Publikováno v:
Dianxin kexue, Vol 35, Pp 17-24 (2019)
In telecom communication network,a hot customer complaint often affects hundreds even thousands of users’ service and leads to significant economic losses and bulk complaints.An approach was proposed to predict a customer complaint based on real-ti
Externí odkaz:
https://doaj.org/article/fce9da389965407d82403eded46277ca
Publikováno v:
Applied Sciences, Vol 11, Iss 22, p 10675 (2021)
Slot filling is a crucial component in task-oriented dialog systems that is used to parse (user) utterances into semantic concepts called slots. An ontology is defined by the collection of slots and the values that each slot can take. The most widely
Externí odkaz:
https://doaj.org/article/e5c41e8c86a84008b4b1fc6920030404
Publikováno v:
大数据, Vol 6, Pp 2020052-1 (2020)
Prerequisite relation refers to the learning dependency between learning objects.Most previous works mined prerequisite relations in a pipelined way and heavily relied on hyperlinks,which lead to the accumulation of errors.To address these issues,pre
Externí odkaz:
https://doaj.org/article/e170630060884fd4ae303fbe5c0e3310