東華大學圖書館 |

Language: English

Help

回圖書館首頁

手機版館藏查詢

Back

Switch To: Labeled | MARC Mode | ISBD

Intelligent distributed computing XV...

International Symposium on Intelligent and Distributed Computing (2024 :)

Linked to FindBook

Google Book

Amazon

博客來

Intelligent distributed computing XVII = 17th International Symposium on Intelligent Distributed Computing, IDC 2024 /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Intelligent distributed computing XVII/ edited by Nikolaos Polatidis ... [et al.].
Reminder of title:	17th International Symposium on Intelligent Distributed Computing, IDC 2024 /
remainder title:	IDC 2024
other author:	Polatidis, Nikolaos.
corporate name:	International Symposium on Intelligent and Distributed Computing
Published:	Cham :Springer Nature Switzerland : : 2025.,
Description:	viii, 284 p. :ill., digital ;24 cm.
[NT 15003449]:	NeuroEvolution algorithms applied in the designing process of biohybrid actuators -- The Holocron: Leveraging a Dynamic 3D Matrix for Efficient Data Storage and Retrieval in Strategic Management -- Workloads Scheduling in Scientific Workflow-as-a-Service Cloud Architectures -- Hybrid Approach Using LSTM and Gradient Boosting for Accurate and Robust Store Sales Forecasting -- Enhancing IoT Security with Ensemble Deep Learning: A Lightweight, Robust Approach to Intrusion Detection -- Clustering-based Identification of Representative Security Events for Anomaly Detection in Multivariate Sensor Data -- Securing End-to-End Encrypted File Sharing Services with the Messaging Layer Security Protocol -- Anomalous Client Detection in Federated Learning -- Traditional and Bio-inspired Feature Selection for Accurate Fraud Detection -- Leveraging Deep Learning for Enhanced Software Fault Prediction Using Error-type Metrics -- A Step Towards Efficient Reduction of Ethereum's Turing-completeness -- Visualizing Bitcoin's Evolution: Dimensionality Reduction and Stylized Facts Techniques -- Trends in Intelligent Blockchain: Insights from Research Papers -- Comparative Study on Automatic Extraction of Genealogical Data from Ancient Text by Using Large Language Models and Open AI -- Planless Agents: BDI Plan Generation using LLMs -- Leveraging LLMs for Smart Cities Qualitative Data Analysis.
Contained By:	Springer Nature eBook
Subject:	Distributed artificial intelligence - Congresses. -
Online resource:	https://doi.org/10.1007/978-3-031-87639-4
ISBN:	9783031876394

Intelligent distributed computing XVII = 17th International Symposium on Intelligent Distributed Computing, IDC 2024 /
Intelligent distributed computing XVII17th International Symposium on Intelligent Distributed Computing, IDC 2024 /[electronic resource] :IDC 2024edited by Nikolaos Polatidis ... [et al.]. - Cham :Springer Nature Switzerland :2025. - viii, 284 p. :ill., digital ;24 cm. - Studies in computational intelligence,v. 12031860-9503 ;. - Studies in computational intelligence ;v. 1203..

NeuroEvolution algorithms applied in the designing process of biohybrid actuators -- The Holocron: Leveraging a Dynamic 3D Matrix for Efficient Data Storage and Retrieval in Strategic Management -- Workloads Scheduling in Scientific Workflow-as-a-Service Cloud Architectures -- Hybrid Approach Using LSTM and Gradient Boosting for Accurate and Robust Store Sales Forecasting -- Enhancing IoT Security with Ensemble Deep Learning: A Lightweight, Robust Approach to Intrusion Detection -- Clustering-based Identification of Representative Security Events for Anomaly Detection in Multivariate Sensor Data -- Securing End-to-End Encrypted File Sharing Services with the Messaging Layer Security Protocol -- Anomalous Client Detection in Federated Learning -- Traditional and Bio-inspired Feature Selection for Accurate Fraud Detection -- Leveraging Deep Learning for Enhanced Software Fault Prediction Using Error-type Metrics -- A Step Towards Efficient Reduction of Ethereum's Turing-completeness -- Visualizing Bitcoin's Evolution: Dimensionality Reduction and Stylized Facts Techniques -- Trends in Intelligent Blockchain: Insights from Research Papers -- Comparative Study on Automatic Extraction of Genealogical Data from Ancient Text by Using Large Language Models and Open AI -- Planless Agents: BDI Plan Generation using LLMs -- Leveraging LLMs for Smart Cities Qualitative Data Analysis.

This book includes the scientific outcome of the 17th Annual International Symposium on Intelligent Distributed Systems (IDC2024) which was hosted by the University of Brighton, United Kingdom, 18-19 September 2024. This book includes all sixteen full papers that were accepted for presentation after a rigorous peer review process by experts in their respective fields. The papers are presented here grouped in five areas of focus, namely distributed systems, cyber security, predictive modelling, blockchain applications, and large language models. They provide a wide range of areas of application that demonstrate the dynamics and constantly evolving nature of distributed systems research. The authors work in two continents, six countries, and a total of fourteen different institutions and organizations. The book spans different levels of progress of research, completed projects at institutional level, outcomes of PhD. student work, and results that relate to large transnational projects funded by the European Union and other national and international funders. The authors hope that the readers of this book of proceedings will find the contents informative and an opportunity to engage with new outcomes of innovative research. The editors are: Nikolaos Polatidis, Elias Pimenidis, Marcelo Trovati, Mehmet Aydin.

ISBN: 9783031876394

Standard No.: 10.1007/978-3-031-87639-4doiSubjects--Topical Terms:

892611
Distributed artificial intelligence
--Congresses.

LC Class. No.: Q337 / .I58 2024

Dewey Class. No.: 006.3

Intelligent distributed computing XVII = 17th International Symposium on Intelligent Distributed Computing, IDC 2024 /
LDR:03896nmm a2200349 a 4500 001 2414829
003 DE-He213
005 20250926130519.0
006 m d
007 cr nn 008maaau
008 260205s2025 sz s 0 eng d
020 $a 9783031876394 $q (electronic bk.)
020 $a 9783031876387 $q (paper)
024 7 $a 10.1007/978-3-031-87639-4 $2 doi
035 $a 978-3-031-87639-4
040 $a GP $c GP
041 0 $a eng
050 4 $a Q337 $b .I58 2024
072 7 $a UYQ $2 bicssc
072 7 $a COM004000 $2 bisacsh
072 7 $a UYQ $2 thema
082 0 4 $a 006.3 $2 23
090 $a Q337 $b .I61 2024
111 2 $a International Symposium on Intelligent and Distributed Computing $n (17th : $d 2024 : $c Brighton, England) $3 3791745
245 1 0 $a Intelligent distributed computing XVII $h [electronic resource] : $b 17th International Symposium on Intelligent Distributed Computing, IDC 2024 / $c edited by Nikolaos Polatidis ... [et al.].
246 3 $a IDC 2024
260 $a Cham : $b Springer Nature Switzerland : $b Imprint: Springer, $c 2025.
300 $a viii, 284 p. : $b ill., digital ; $c 24 cm.
490 1 $a Studies in computational intelligence, $x 1860-9503 ; $v v. 1203
505 0 $a NeuroEvolution algorithms applied in the designing process of biohybrid actuators -- The Holocron: Leveraging a Dynamic 3D Matrix for Efficient Data Storage and Retrieval in Strategic Management -- Workloads Scheduling in Scientific Workflow-as-a-Service Cloud Architectures -- Hybrid Approach Using LSTM and Gradient Boosting for Accurate and Robust Store Sales Forecasting -- Enhancing IoT Security with Ensemble Deep Learning: A Lightweight, Robust Approach to Intrusion Detection -- Clustering-based Identification of Representative Security Events for Anomaly Detection in Multivariate Sensor Data -- Securing End-to-End Encrypted File Sharing Services with the Messaging Layer Security Protocol -- Anomalous Client Detection in Federated Learning -- Traditional and Bio-inspired Feature Selection for Accurate Fraud Detection -- Leveraging Deep Learning for Enhanced Software Fault Prediction Using Error-type Metrics -- A Step Towards Efficient Reduction of Ethereum's Turing-completeness -- Visualizing Bitcoin's Evolution: Dimensionality Reduction and Stylized Facts Techniques -- Trends in Intelligent Blockchain: Insights from Research Papers -- Comparative Study on Automatic Extraction of Genealogical Data from Ancient Text by Using Large Language Models and Open AI -- Planless Agents: BDI Plan Generation using LLMs -- Leveraging LLMs for Smart Cities Qualitative Data Analysis.
520 $a This book includes the scientific outcome of the 17th Annual International Symposium on Intelligent Distributed Systems (IDC2024) which was hosted by the University of Brighton, United Kingdom, 18-19 September 2024. This book includes all sixteen full papers that were accepted for presentation after a rigorous peer review process by experts in their respective fields. The papers are presented here grouped in five areas of focus, namely distributed systems, cyber security, predictive modelling, blockchain applications, and large language models. They provide a wide range of areas of application that demonstrate the dynamics and constantly evolving nature of distributed systems research. The authors work in two continents, six countries, and a total of fourteen different institutions and organizations. The book spans different levels of progress of research, completed projects at institutional level, outcomes of PhD. student work, and results that relate to large transnational projects funded by the European Union and other national and international funders. The authors hope that the readers of this book of proceedings will find the contents informative and an opportunity to engage with new outcomes of innovative research. The editors are: Nikolaos Polatidis, Elias Pimenidis, Marcelo Trovati, Mehmet Aydin.
650 0 $a Distributed artificial intelligence $v Congresses. $3 892611
650 1 4 $a Computational Intelligence. $3 1001631
650 2 4 $a Artificial Intelligence. $3 769149
700 1 $a Polatidis, Nikolaos. $3 3791746
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer Nature eBook
830 0 $a Studies in computational intelligence ; $v v. 1203. $3 3791747
856 4 0 $u https://doi.org/10.1007/978-3-031-87639-4
950 $a Intelligent Technologies and Robotics (SpringerNature-42732)