Del 2748 - Communications in Computer and Information Science

Advances in Computational Collective Intelligence

Nyhet

17th International Conference, ICCCI 2025, Ho Chi Minh City, Vietnam, November 12–15, 2025, Proceedings, Part II

Häftad, Engelska, 2025

Av Ngoc Thanh Nguyen, Vu Dinh Duc Anh, Adrianna Kozierkiewicz, Sinh Nguyen Van, Manuel Núñez, Jan Treur, Gottfried Vossen, Sinh Nguyen van

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This two-volume set CCIS 2747-2748 constitutes the refereed proceedings of the 17th International Conference on Computational Collective Intelligence, ICCCI 2025, held in Ho Chi Minh City, Vietnam, during November 12–15, 2025.The 67 full papers included in this book were carefully reviewed and selected from 290 submissions. The papers are organized in the following topical sections:Part I: Collective Intelligence and Collective Decision-Making; Cooperative Strategies for Decision Making and Optimization; Computational Intelligence for Digital Content Understanding; Data Fusion and Application for Industry 4.0; and Natural Language Processing.Part II: Deep Learning Techniques; Social Networks and Intelligent Systems; Computational Intelligence in Medical Applications; Data Mining and Machine Learning; and Cybersecurity Blockchain Technology and Internet of Things.

Produktinformation

Utgivningsdatum2025-12-10
Mått155 x 235 x undefined mm
FormatHäftad
SpråkEngelska
SerieCommunications in Computer and Information Science
Antal sidor493
FörlagSpringer Nature Switzerland AG
ISBN9783032102089

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Material och digital teknik i undervisningen inom Psykologi och pedagogik
Hårdvara inom Data och it
Nätverk och kommunikation inom Data och it
Tillämpad datateknik inom Data och it
Systemvetenskap och AI inom Data och it

.- Deep Learning Techniques..- AERNN4RP: An Attention-Enriched Recurrent Neural Network for Rainfall Prediction..- Drone-based Autonomous Navigation and Victim Detection Using Deep Learning Technique for Non-GPS In-Building Environments..- Defensive Strategy for Explainability in Deep Neural Networks Under Adversarial Attacks..- Balancing Water Quality using Efficient Deep Learning Configuration for Aquaponics Application..- Comparative Analysis of CNN Architectures for Boxing Punch Detection..- ResNet-Based Pandemic Keyword Spotting in Continuous Multilingual Speech: A Study in UNESCO’s Audio Messages for Rapid Health Response..- SignBart – New approach with the skeleton sequence for Isolated Sign language Recognition..- Semantic Communication with Transformer and Knowledge Distillation for Language Translation..- Social Networks and Intelligent Systems..- Will they spread it or unmask it? Designing a method for questionnaire specific data characterisation - study case on users’ reactance to fake news..- Temporal Dynamic Networks in Infectious Disease Modeling: A review of Methods and Applications..- GeeSanBhava: Sentiment Tagged Sinhala Music Video Comment Data Set..- Natural Language Processing with Disaster Tweets: Predicting Crisis Events with Social Media Using Machine Learning..- Large Language Model-Driven Approach for Automated Competency Knowledge Graph Construction in IT Domain..- Computational Intelligence in Medical Applications..- An Efficient Deep Learning-Based Pneumonia Detection Using Chest X-Ray Image Augmentation..- Deep Neural Network for Early Parkinson’s Disease Detection from Offline Hand-drawing..- Pathomic Signature for Stratification of Metastasis Risk in Colon Cancer..- A Novel Hybrid Deep Learning Framework for Automated Malaria Parasite Detection in Microscopic Blood Smear Images..- An Explainable AI-Based Breast Cancer Classification Combining Rule Sets and Deep Neural Networks..- Data Mining and Machine Learning..- Prediction of Real Estate Prices in 15 Largest Polish Cities Using Machine Learning..- Automated Stock Trading With Q-Learning Algorithm..- EpiPredict: A Smart Solution for Real-Time Epileptic Seizure Prediction and Alerts based on Machine Learning Models..- Using Closed Frequent Itemsets To Explain Classification Tasks..- Measuring Causal Effects of Online Medical Records on Medical Decision Making Using Causal Machine Learning..- Machine learning-based Chat Bot for Diagnosing Depression: A Mental Disorder Illness..- LogiDRS: Logical Reasoning using Discourse Relation Sense..- From Networks to Circuits: A Structured Approach to AI Interpretability..- Cybersecurity, Blockchain Technology and Internet of Things.- IVFDT: An Improved Very Fast Decision Tree Approach for Blockchain Data Stream Classification..- HEMA – IDS: A Hybrid Multi Architecture Ensemble IDS for prediction of malicious network traffic..- Secure IoT Healthcare: Federated Learning and Blockchain for Privacy-Preserving AI..- Payload Image-Based Model for Automotive Intrusion Detection on STM32 Platform..- WleAtNet: A Lightweight Deep Learning Model and Data Framework for Wireless Link Estimation in Resource-Constrained Internet of Things..- Assessing the Performance Overhead of Firewall-based Intrusion Detection Systems on Home Computers..- Stylometric and Embedding Synergy for Smishing Detection..- Anomaly Detection in Industrial Ovens Using XGBoost and IoT Data.