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
Integrating a knowledge graph into malware detection systems.- Design Optimization and Fabrication of a Lab-Scale Rotor-Stator Homogenizer.- Enhancing Team Collaboration through Social Network Analysis: A Transactive Memory System-Based Visualization Framework.- Mathematical Solution of Interval-valued Trapezoidal Neutrosophic Multi-level Multiobjective Linear Programming Problem.- Performance and Robustness of Distribution Based Neural Networks (DBNN): A Comparative Study.- Energy-Efficient and Reliable Communication Protocols for IoT Networks: A Scientometric Analysis.- A Hybrid Generative AI, DQN, Heuristic Framework for Intelligent Gaming Environments.- Rethinking Multi-Echelon Safety Stock: Breaking Silos with AI-Driven Inventory Optimization for Supply Chain Resilience.- ECG Image Digitization and Classification for Cardiac Abnormality Detection.- Digital Twin-Assisted PVSNs for Next-Generation Automated Solutions: A Technical Survey.- Revealing Neural Dynamics: A Statistical Approach to Brain Activity Across Timescales.- Audio Visual based Action Recognition.- Few-Shot Classification of Coconut Rhinoceros Beetle Infestation in Drone Images using Relation Networks.- An Analytical Comparison of Energy Utilization in the Steel Sector Through the Application of Machine and Deep Learning Models.- Advances in Image Inpainting: A Comparative Study of CNN, GAN, Transformer, and Diffusion-based Models.
