Advances in Computational Intelligence: 18th International Work-Conference on Artificial Neural Networks, Iwann 2025, a Coruña, Spain, June 16-18, 202
暫譯: 計算智慧的進展：第18屆國際人工神經網路工作會議，Iwann 2025，西班牙拉科魯尼亞，2025年6月16-18日

Rojas, Ignacio, Joya, Gonzalo, Catala, Andreu

Advances in Computational Intelligence: 18th International Work-Conference on Artificial Neural Networks, Iwann 2025, a Coruña, Spain, June 16-18, 202
  • 出版商: Springer
  • 出版日期: 2025-10-02
  • 售價: $7,070
  • 貴賓價: 9.5 折 $6,717
  • 語言: 英文
  • 頁數: 669
  • 裝訂: Quality Paper - also called trade paper
  • ISBN: 3032027241
  • ISBN-13: 9783032027245
  • 相關分類: DeepLearning

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商品描述

The two-volume set LNCS 16008 & 16009 constitutes the refereed conference
proceedings of the 18th International Work-Conference on Advances in Computational Intelligence, IWANN 2025, held in A Coruña, Spain, during June 16-18, 2025.


The 103 revised full papers presented in these proceedings were carefully reviewed and selected from 144 submissions. The papers are organized in the following topical sections:

Part I: Advanced Topics in Computational Intelligence; AI: Bioinformatics and Biomedical Applications; ANN HW-Accelerators; Bio-Inspired Systems and Neuro-Engineering; Recent Advances in Deep Learning; Deep Learning Applied to Computer Vision, Healthcare and Robotics; and Emerging Methodologies in Time Series Forecasting.

Part II: Explainable and Interpretable Machine Learning (xAI) with a Focus on Applications; General Applications of AI; ITOMAD - Intelligent Techniques for Optimization, Modeling, and Anomaly Detection; Machine Learning for 4.0 Industry Solutions; Machine Learning for Photovoltaic System Optimization and Control in Modern Energy Grids; New and future advances in BCI-based Spellers; and Social and Ethical aspects of AI.

商品描述(中文翻譯)

兩卷本的 LNCS 16008 和 16009 是第十八屆國際計算智慧進展工作會議（IWANN 2025）的經過審稿的會議論文集，該會議於 2025 年 6 月 16 日至 18 日在西班牙的阿科魯尼亞舉行。

這些論文集中所呈現的 103 篇修訂完整論文是從 144 篇投稿中仔細審核和選出的。論文組織在以下主題部分：

第一部分：計算智慧的進階主題；人工智慧：生物資訊學和生醫應用；人工神經網路硬體加速器；仿生系統和神經工程；深度學習的最新進展；深度學習在計算機視覺、醫療保健和機器人技術中的應用；以及時間序列預測中的新興方法論。

第二部分：可解釋和可詮釋的機器學習（xAI），重點在於應用；人工智慧的一般應用；ITOMAD - 用於優化、建模和異常檢測的智能技術；4.0 工業解決方案的機器學習；現代能源網中光伏系統優化和控制的機器學習；基於腦機介面的拼寫器的新進展和未來發展；以及人工智慧的社會和倫理方面。

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