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Cognitive Computing – ICCC 2023 : 7th International Conference Held as Part of the Services Conference Federation, SCF 2023 Shenzhen, China, December 17-18, 2023 Proceedings / edited by Xiuqin Pan, Ting Jin, Liang-Jie Zhang.

Springer Nature - Springer Computer Science eBooks 2024 English International Available online

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Format:
Book
Contributor:
Pan, Xiuqin, editor.
Jin, Ting, editor.
Zhang, Liang-Jie, editor.
Series:
Lecture Notes in Computer Science, 1611-3349 ; 14207
Language:
English
Subjects (All):
Data protection--Law and legislation.
Data protection.
Computer engineering.
Computer networks.
Operating systems (Computers).
Privacy.
Computer Engineering and Networks.
Data and Information Security.
Operating Systems.
Local Subjects:
Privacy.
Computer Engineering and Networks.
Data and Information Security.
Operating Systems.
Physical Description:
1 online resource (XIII, 133 p. 41 illus., 32 illus. in color.)
Edition:
1st ed. 2024.
Place of Publication:
Cham : Springer Nature Switzerland : Imprint: Springer, 2024.
Summary:
This book constitutes the refereed proceedings of the 7th International Conference on Cognitive Computing, ICCC 2023, held in Shenzhen, China, during December 17–18, 2023. The 9 full papers in this book were carefully reviewed and selected from 14 submissions. They are organized in topical sections as follows: Cognitive Computing Technologies and Infrastructure, Cognitive Computing Applications, Sensing Intelligence, Cognitive Analysis, Mobile Services, Cognitive Computing on Smart Home, and Cognitive Computing on Smart City.
Contents:
Research Track
High-Precision Detection of Suicidal Ideation on Social Media Using Bi-LSTM and BERT Models
P-Reader: A Clue-inspired Model for Machine Reading Comprehension
An Unsupervised Method for Sarcasm Detection with Prompts
ENER: Named Entity Recognition Model for Ethnic Ancient Books Based on Entity Boundary Detection
An Enhanced Opposition-Based Golden-Sine Whale Optimization Algorithm
T4S: Two-stage Screenplay Synopsis Summary Generation with Turning Points
Application Track
Multi-factor Water Level Prediction Based on InnRNN-Attention
Ethereum Public Opinion Analysis Based on Attention Mechanism
Prompt Tuning Models on Sentiment-Aware for Explainable Recommendation.
Notes:
Includes bibliographical references and index.
ISBN:
3-031-51671-0

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