Internet Computing, Internet of Things, Artificial Intelligence, and Applications
Description
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.
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Content
.- 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 APPLICATIONS
.- 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 INFORMATICS
.- 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 APPLICATIONS
.- 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 APPLICATIONS
.- 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 PAPERS
.- 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.