Internet Computing, Internet of Things, Artificial Intelligence, and Applications : 26th International Conference, ICOMP 2025, and 27th International Conference, ICAI 2025, Held as Part of the World Congress in Computer Science, Computer Engineering, and Applied Computing, CSCE 2025, Las Vegas, NV, USA, July 21-24, 2025, Revised Selected Papers / edited by Hamid R. Arabnia, Leonidas Deligiannidis, Ken Ferens, Farid Ghareh Mohammadi, Farzan Shenavarmasouleh, Soheyla Amirian.

Format:

Book

Author/Creator:

Arabnia, Hamid R.

Contributor:

Arabnia

Series:

Communications in Computer and Information Science, 1865-0937 ; 2934

Language:

English

Subjects (All):

Software engineering.

Data protection.

Image processing--Digital techniques.

Image processing.

Computer vision.

Artificial intelligence.

Application software.

Computer science.

Software Engineering.

Data and Information Security.

Computer Imaging, Vision, Pattern Recognition and Graphics.

Artificial Intelligence.

Computer and Information Systems Applications.

Computer Science.

Local Subjects:

Software Engineering.

Data and Information Security.

Computer Imaging, Vision, Pattern Recognition and Graphics.

Artificial Intelligence.

Computer and Information Systems Applications.

Computer Science.

Physical Description:

1 online resource (643 pages)

Edition:

1st ed. 2026.

Place of Publication:

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

Summary:

This book constitutes the proceedings of the 26th International Conference on Internet Computing and IoT, ICOMP 2025, and the 27th International Conference on Artificial Intelligence, ICAI 2025. They were held as part of the 2025 World Congress in Computer Science, Computer Engineering, and Applied Computing, CSCE 2025, which took place in Las Vegas, NV, USA, during July 21-24, 2025. The ICAI 2025 Conference received a total of 293 submissions, of which 59 papers were accepted. The ICOMP 2025 Conference received 62 submissions, of which 14 papers were accepted. This volume includes 35 of the accepted papers from ICAI 2025 and ICOMP 2025. They were organized in topical sections as follows: Internet Computing, Internet of Things, and Applications; Internet of Things, Security, Distributed Processing, and Applications; Artificial Intelligence and Health Informatics; Artificial Intelligence, Security, Power-Aware Methods, and Applications; Artificial Intelligence and Applications; and Poster Research Papers.

Contents:

SECTION: INTERNET COMPUTING, INTERNET OF THINGS, AND APPLICATIONS

A Framework for Improving Network Topology Based on Graph Theory in Software-Defined Networking

Visualization and Monitoring System for Autonomous Vehicles

Carbon Flexing for Individual Households - A Study Based on Electrical Carbon Data

Deep Reinforcement Learning for Resource Management in 5G-Enabled IoT Networks: A Comprehensive Survey

Express Dialer 2

Societal Impact of Technology on Wellbeing and Cohesion

SECTION: INTERNET OF THINGS, SECURITY, DISTRIBUTED PROCESSING, AND APPLICATION

Efficient Non-Linear Primitives for Secure Multi-Party Computation among IoT Devices

Placement of Distributed Machine Learning Services for AI- and Smart Grid-Enabled IoT Platforms

SLO-FEI: A Novel Secure and Lightweight Offloading Approach for Fog-Edge Federation-Based IoT

A Systematic Literature Review on Secure Extraction of Multiple Features for Privacy Protection in Wearable Medical Devices

SECTION: ARTIFICIAL INTELLIGENCE AND HEALTH INFORMATIC

A Multimodal Multi-Agent Framework for Radiology Report Generation

SensTrans: An AI Model for Generating Wearable Sensor Time-Series Signals to Improve Human Activity Detection

Unveiling Gender Disparities in Neurodegenerative Disease Diagnosis on Microblogs

SECTION: ARTIFICIAL INTELLIGENCE, SECURITY, POWER-AWARE METHODS, AND APPLICATION

A Unified Framework Incorporating AW-TRBAC and Semantic Variational Autoencoders for Dynamic Threat Detection and Access Control

A Power Control Scheme for Artificial Intelligence and IoT (AIoT) ProSe-enabled Sensors

Leveraging Transformer Models for Extractive Question Answering in Criminal Report Analysis

SECTION: ARTIFICIAL INTELLIGENCE AND APPLICATION

Beyond the Black Box: Deep Regression with Insight for More Accurate and Interpretable Supply Chain Forecasting

Modeling the Impact of Partial Shading on Photovoltaic Panels via Large-Scale Simulation and Regression

Baylor Environmental AI Research System (BEARS): An Agentic AI Project to Combat Climate Change

Agentic AI Guidance Using Simon's Framework for Management Science

The Geometry of Bias in Contrastive Embeddings: A Spectral Analysis

Towards Smarter IT Compliance Audits: Leveraging Artificial Intelligence

Multi-domain Feature Extraction and Comparative Evaluation of Classification Accuracy for Punching Motions in Mass Boxing

Benchmarking Aircraft Detection using Pretrained Models

Augmenting Agricultural Human Capital through Agentic AI: Personalizing Support for Small Farmers in Labor-Scarce Rural and Agri Industry Ecosystems

An Intelligent Emotion-based Mechanism to Predicting Domestic Violence in Public Online Posts

Missile Command Reimagined: Formulation of a Reinforcement Learning Based Approach for Resource-Constrained Defense

Deep Learning for Detection of Frosty Pod Rot in Cacao Pods: A Comparative Analysis

Machine Learning-Based Crop Yield Prediction: State-of-the-Art, Challenges, and Future Directions

Early Detection of Poultry Infectious Disease Using Deep Learning

Enhancing Incident Root Cause With Confidence Using Zebraai

A Study on the Context-based Trustworthiness to Decrease Confirmation Bias and Improve Evenness of the Generated Content

Evolving Generators Using Policy Gradients With Parameter-Based Exploration for InfoGAN Training

SECTION: POSTER RESEARCH PAPER

Energy Consumption of TinyML-based Intrusion Detection System for Nano-Sized UAVs

Design and Verification of a CanSat Rover Remote Control System Using Cloud and MQTT Communication.

Notes:

Print version record.

ISBN:

9783032221902