Distributed Computing and Artificial Intelligence, 22nd International Conference / edited by Nasro Min-Allah, Khalid Alissa, Pawel Sitek, Mutsuo Sano, Sara Rodríguez, Antoine Nongaillard.

Format:

Book

Author/Creator:

Min-Allah, Nasro.

Contributor:

Min-Allah

Series:

Lecture Notes in Networks and Systems, 2367-3389 ; 1598

Language:

English

Subjects (All):

Computational intelligence.

Artificial intelligence.

Computational Intelligence.

Artificial Intelligence.

Local Subjects:

Computational Intelligence.

Artificial Intelligence.

Physical Description:

1 online resource (540 pages)

Edition:

1st ed. 2026.

Place of Publication:

Cham : Springer Nature Switzerland : Imprint: Springer, 2026.

Summary:

This book serves as a forum to present applications of innovative techniques for studying and solving complex problems in artificial intelligence and computing. This edition brings together experience, current work, and promising future trends related to distributed computing, artificial intelligence, and their applications to provide efficient solutions to real-world problems. The technical program this year is both high in quality and diverse, featuring contributions from well-established and evolving research areas. Specifically, 138 papers were submitted by authors from 30 different countries, representing a truly global network of research activity. The DCAI’25 technical program has selected 34 full papers for the main track, and as in previous editions, there will be special issues in ranked journals. This symposium is organized by the SMAC Team of the CRIStAL Lab of the University of Lille. The authors would like to thank all the contributing authors and the members of the program committee for their hard and highly valuable work. .

Contents:

Fine-Tuned Large Language Models for Inclusive Education Athlete Support: Performance Evaluation and Benchmarking

Computational Cost Reduction in Image Recognition Using Graph-Structured NNs with GCN

AdaCons: Adaptive Consensus Gradient Aggregation for Distributed Training

Towards using Rules/CHR for Maze Generation

Computational model to identify harvest ready cocoa pods to improve harvest planning in Colombia’s coffee regions using deep learning: Preliminary results

SmartDelivery: IoT Platform for Last Mile Delivery Optimization with Real-Time Data and ML-Based Algorithm Selection

Anomaly Detection in Smart Rural IoT Systems

Crop health monitoring using Vegetation Indices Derived from Satellite Remote Sensing in wine yard DO Ribera del Duero

Minimizing Model Complexity in Fault Classification Using Inter-Axis Phase Difference

Coordination and Underspecification in Type Theory of Acyclic Recursion.

Notes:

Description based on publisher supplied metadata and other sources.

ISBN:

9783032041609

OCLC:

1574123212