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Computational collective intelligence16th International Conference, ICCCI 2024, Leipzig, Germany, September 9-11, 2024 : proceedings.Part II /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Computational collective intelligenceedited by Ngoc Thanh Nguyen ... [et al.].
Reminder of title:	16th International Conference, ICCCI 2024, Leipzig, Germany, September 9-11, 2024 : proceedings.
remainder title:	ICCCI 2024
other author:	Nguyen, Ngoc Thanh.
corporate name:
Published:	Cham :Springer Nature Switzerland :2024.
Description:	xxviii, 395 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Expert systems (Computer science)
Online resource:	https://doi.org/10.1007/978-3-031-70819-0
ISBN:	9783031708190$q(electronic bk.)

Computational collective intelligence16th International Conference, ICCCI 2024, Leipzig, Germany, September 9-11, 2024 : proceedings.Part II /
Computational collective intelligence16th International Conference, ICCCI 2024, Leipzig, Germany, September 9-11, 2024 : proceedings.Part II /[electronic resource] :ICCCI 2024edited by Ngoc Thanh Nguyen ... [et al.]. - Cham :Springer Nature Switzerland :2024. - xxviii, 395 p. :ill., digital ;24 cm. - Lecture notes in computer science,148110302-9743 ;. - Lecture notes in computer science,2807..

Social Networks and Intelligent Systems. -- A deep learning approach to fine-grained political ideology classification on social media texts. -- Enhancing Social Network Trust with Improved EigenTrust Algorithm. -- An Empirical Analysis of the Usage of Requirements Attributes in Requirements Engineering Research and Practice. -- Experimental Study on Link Prediction in Unweighted and Weighted Time-Evolving Organizational Social Network. -- Assessing Student Quality of Life: Analysis of Key Influential Factors. -- An Adaptive Network Model for Interpersonal Emotion Regulation in Multimodal Human-Bot Interaction. -- Cybersecurity, Blockchain Technology, and Internet of Things. -- Strengthening Network Intrusion Detection in IoT Environments with Self-Supervised Learning and Few Shot Learning. -- Daily activities forecasting for long-term elderly behavior change detection. -- Detection of Fake Facial Images and Changes in Real Facial Images. -- TabGAN-powered Data Augmentation and Explainable Boosting-based Ensemble Learning for Intrusion Detection in Industrial Control Systems. -- Malware detection among contact tracing apps with deep learning. -- Cooperative Strategies for Decision Making and Optimization. -- Modeling the Functioning of Decision Trees Based on Decision Rule Systems by Greedy Algorithm. -- Delays in computing with parallel metaheuristics on HPC infrastructure. -- Reinforcement Learning-Based Cooperative Traffic Control System. -- Discovering Spatial Prevalent Co-location Patterns by Once Scanning Datasets without Generating Candidates. -- New results for some Tur'an problem instances obtained using the reinforcement learning technique. -- Computational Intelligence for Digital Content Understanding. -- Impact of acquisition parameters on the performance of radiomic systems. -- Feature Explainability and Enhancement for Skin Lesion Image Analysis. -- Toward Intelligent Ethnicity Recognition and Face Anonymization: An IncepX-Ensemble Model Approach. -- Weak Supervised Asphalt Pavement Segmentation. -- New Presence-Dependent Binary Similarity Measures for Pairwise Label Comparisons in Multi-label Classification. -- Synergistic Feature Fusion for Improved Classification: Combining Dempster-Shafer Theory and Multiple CNN Architectures. -- Knowledge Engineering and Application for Industry 4.0. -- High learning hierarchical neural networks. -- A new method of detecting Alzheimer's disease. -- GCC Aware Glaucoma Detection Using Macula OCT Image Analysis Based on Deep Convolutional Neural Networks. -- Understanding Geometric Relationship Concepts in Few-Shot Learning. -- Applicability criterion of the Non Overlapping Template Matching algorithm from NIST Statistical Test Suite SP800-22 for long aperiodic patterns. -- Enhanced Activity Recognition through Joint utilization of Decimal Descriptors and Temporal Binary Motions. -- Using Multilevel Temporal Factorisation to Analyse Structure and Dynamics for Higher-Order Adaptive and Evolutionary Processes.

This two-volume set LNAI 14810-14811 constitutes the refereed proceedings of the 16th International Conference on Computational Collective Intelligence, ICCCI 2024, held in Leipzig, Germany, during September 9-11, 2024. The 59 revised full papers presented in these proceedings were carefully reviewed and selected from 234 submissions. Part I: collective intelligence and collective decision-making; deep learning techniques; natural language processing; data mining and machine learning Part II: social networks and intelligent system; cybersecurity, blockchain technology, and internet of things; cooperative strategies for decision making and optimization; computational intelligence for digital content understanding; knowledge engineering and application for industry 4.0.

ISBN: 9783031708190$q(electronic bk.)

Standard No.: 10.1007/978-3-031-70819-0doiSubjects--Topical Terms:

182450
Expert systems (Computer science)

LC Class. No.: QA76.76.E95

Dewey Class. No.: 006.33

Computational collective intelligence16th International Conference, ICCCI 2024, Leipzig, Germany, September 9-11, 2024 : proceedings.Part II /
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