Full Description
This book presents selected papers from International Conference on Sustainable Computing and Intelligent Systems (SCIS 2025), held on 7-8 November 2025, in University of Canberra, Bruce, Australia. The topics covered in the book are green computing, renewable energy integration, sustainable urban computing, IoT and sustainability, sustainable IoT applications, data analytics for sustainability, internet of things, information security, embedded systems, real-time systems, cloud computing, big data analysis, quantum computing, automation systems, intelligent IoT eHealth, bio-inspired intelligence, brain modeling and simulation, cognitive systems, cyber-physical systems, data analytics, data/web mining, data science, hybrid systems and intelligence for security.
Contents
Evaluation of Mechanical Behavior and Deformation of Brain Tissue Model Simulation using Finite Element Method.- An Integrated Framework for Jailbreak Prevention using Knowledge Graphs and Large Language Models.- Spiral Drawings Test Based Early Diagnosis of Parkinson Disorder Using Tuned Densenet201 Deep Transfer Learning Model.- API Usability Feedback through Complexity Analysis for Networked Services.- Cloud System Logs Analysis Utilizing BERT and AdaBoost Tuned With Modified Sinh Cosh Optimizer.- IoT-Based Smart Shelter and Health Monitoring System for Emergency and Disaster Relief.- Estimating Parameters of the Drift Diffusion Model using Particle Swarm Optimization.- Ellipse Shaped Four-element Microstrip Patch Antenna Array using Corporate Feed Network.- Quantum-Driven Digital Forensics: Evidence Acquisition, Intrusion Detection, Cybercrime Simulation, and DNA Profiling.- Next-Generation Bioelectronic Devices for Sustainable Intelligent Systems: Integrating Neural Interfaces, DNA Nanotechnology, and Soft Robotics.- Footstep Power Generation Simulation using Piezo Sensors in Matlab Simulation.- Explainable Temporal Knowledge Graph Reasoning for Geopolitical Risk Assessment.- AI-Driven Cyber-Physical Framework for Automated Surgical Precision Enhancement.- AI Driven Workday Financial Fraud Detection using Hybrid Optimal Deep Reinforcement Learning.- A Stacking Ensemble Learning Framework for Student Academic Performance Prediction.
