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Titlebook: Computational Collective Intelligence; 16th International C Ngoc Thanh Nguyen,Bogdan Franczyk,Adrianna Kozierk Conference proceedings 2024

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發(fā)表于 2025-3-21 19:01:11 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Computational Collective Intelligence
副標(biāo)題16th International C
編輯Ngoc Thanh Nguyen,Bogdan Franczyk,Adrianna Kozierk
視頻videohttp://file.papertrans.cn/243/242246/242246.mp4
叢書名稱Lecture Notes in Computer Science
圖書封面Titlebook: Computational Collective Intelligence; 16th International C Ngoc Thanh Nguyen,Bogdan Franczyk,Adrianna Kozierk Conference proceedings 2024
描述.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. They cover the following topics:..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...?.
出版日期Conference proceedings 2024
關(guān)鍵詞Knowledge representation and reasoning; Information retrieval; Recommender systems; Social networks; Dat
版次1
doihttps://doi.org/10.1007/978-3-031-70816-9
isbn_softcover978-3-031-70815-2
isbn_ebook978-3-031-70816-9Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
The information of publication is updating

書目名稱Computational Collective Intelligence影響因子(影響力)




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A Novel Multi-criteria Approach Supporting Strong Sustainability Assessmentoposed method is presented for the practical problem of assessing the achievement of SDG 7 (Sustainable Development Goal 7) targets by selected European countries. Benchmarking was also carried out with the SPOTIS (Stable Preference Ordering Towards Ideal Solution) reference method extended with the
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Parallelized Population-Based Multi-heuristic Approach for Solving RCPSP and MRCPSP Instanceshe Apache Spark environment as an efficient method for solving instances of project scheduling problems. The approach has been validated in an extensive computational experiment based on datasets from PSPLIB library.
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A Collective Intelligence to Predict Stock Market Indices Applying an Optimized Hybrid Ensemble Leartomatic feature extraction. (3) Three machine-learning predictors (Random Forest (RF), Gradient Boosting (GB), and Extra Trees (ET)) are merged together and optimized using the Halving Grid Search (HGS) algorithm to obtain collective final predictions. To verify the validity of the proposed model, t
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Improved CNN Model Stability and?Robustness with?Video Frame Segmentation footage analysis, but also offers broader implications for similar image classification tasks across various domains, thereby setting a foundation for future explorations in enhancing CNN model performance.
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Gesundheitskompetenz im Sportunterrichtoposed method is presented for the practical problem of assessing the achievement of SDG 7 (Sustainable Development Goal 7) targets by selected European countries. Benchmarking was also carried out with the SPOTIS (Stable Preference Ordering Towards Ideal Solution) reference method extended with the
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