Advanced Information Networking and Applications : Proceedings of the 40th International Conference on Advanced Information Networking and Applications (AINA-2026), Volume 4.

Format:

Book

Author/Creator:

Barolli, Leonard.

Series:

Lecture Notes on Data Engineering and Communications Technologies Series

Lecture Notes on Data Engineering and Communications Technologies Series ; v.297

Language:

English

Physical Description:

1 online resource (647 pages)

Edition:

1st ed.

Place of Publication:

Cham : Springer, 2026.

Summary:

This book covers the theory, design, and applications of computer networks, distributed computing, and information systems.Today's networks are going through a rapid evolution and there are many emerging areas of information networking and their applications.

Contents:

Lecture Notes on Data Engineering and Communications Technologies

Advanced Information Networking and Applications

Welcome Message from AINA-2026 Organizers

AINA-2026 Organising Committee

Contents

Evaluation of a Prototype Image- Medical Decision Support System Based- Convolutional Neural Network

FOCUS: Fast Object Classification and Tracking in Video Streams

CHILI: Teleconferencing Platform Augmented with Large Language Model Capabilities

Energy-Efficient Modulation Classification Using Transformer-Based Federated Transfer Learning

TPA-GAT: Temporal Pattern-Aware Graph Attention Network for Traffic Congestion Forecasting

Improving Polyp Segmentation by Adapting MedSAM with H-LoRA

From Natural Language to Executable Healthcare Workflows: HELIOS Ontology-Guided AI Framework

Enhancing Fraud Detection with Federated Learning Under Non-IID Client Distributions

CBRI-Based Deep Learning Algorithm for Intrusion Classification in 5G Networks

Hippocampus Detection Using Mask R-CNN for Improved Alzheimer's Disease Classification

AI Control Through Causal Agents

Ontology-Driven Dialogue Systems for Dementia Prevention

DLPR: Deep Learning Based Predictive Replication for HDFS Using File Access Time Series

Benchmarking of Machine Learning Methods in Cybersecurity of SMART Valves against FDI in Nuclear Power Plants

A Hybrid BO-GA Optimization Approach for LSTM-Based Software Defect Prediction

A Hybrid SAT-Auto-encoder Approach Based on Unsupervised Learning for Dead Features Detection in Feature Models

Multi-agent Federated Learning System for Clinical-Grade Hospital Readmission Prediction

AI-Augmented MBSE for Ontology-Driven Digital Twin Systems Interoperability

Learning Topological Consistency in Access Networks Using Graph Neural Networks for Inventory Anomaly Detection.

Evaluating Performance and Power Efficiency of ext4, XFS, and Btrfs on NVMe Storage Devices

Compression, Deduplication, and Execution Order in Datacenter Storage Pipelines

Predictive Autoscaling with a Safety Net for Microservices

Intelligent Monitoring in ECC for Industry 4.0

Refining Resilience Model Discovery: A Case Study on the Limited Role of Asynchronous Edges in the OpenTelemetry Demo

A Reverse Auction-Based Resource Procurement for a Deadline-Constrained Workflow Execution

MLIDSCloud: A Meta-learning Framework for Real-Time Intrusion Detection in Dynamic Cloud Environments

Adaptive Network-Aware Scheduling Extension for Mixture-of-Experts Model Deployments in Kubernetes with RoCE and GPUDirect RDMA

Evaluating Zero-Trust Network Models for Cloud Microservices

Adversarial Explanation Training for Trustworthy XAI in Cybersecurity: Attacks, Defenses, and Human-Centric Evaluation

Decoupled State Aggregation for Asymmetric DDoS Detection Using MULTOPS

CAYENNE: Spicing Up Password Security with Dynamic Peppers

Intelligent Honeypots for Securing IoT and Edge Devices Using Machine Learning-Based Threat Detection

FlowIoMT: A Flow-Level Dataset for Reconnaissance and ARP Spoofing Attacks in IoMT Networks

Author Index.

Notes:

Description based on publisher supplied metadata and other sources.

ISBN:

9783032233042

OCLC:

1607918734