This book constitutes the proceedings of the 23rd International Conference on Scientific Computing, CSC 2025, and the 21st International Conference on Foundations of Computer Science, FCS 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 CSC 2025 Conference received a total of 210 submissions, of which 47 papers were accepted. The FCS 2025 Conference received 60 submissions, of which 9 papers were accepted. This volume includes 35 of the accepted papers from CSC 2025 and FCS 2025.
The papers were organized in topical sections as follows: Military and Defence Modeling and Simulation; Scientific Computing and Utilization of Artificial Intelligence; Quantum Computing, Security, and Applications; Scientific Computing, Distributed Processing, Optimization, Numerical Methods, and Applications; 21st International Conference on Foundations of Computer Science, FCS 2025; and Poster Research Papers.
Table of Contents:
.- SECTION: MILITARY AND DEFENSE MODELING AND SIMULATION
.- Classifying Seismic Events: A Machine Learning Approach to Identifying Earthquakes, Explosions and Other Rare Events.
.- Cost Estimation of DoD ACAT 1 Software Programs: Statistical Regression vs. Neural Networks.
.- Airfoil Selection Tool Development Using the Cross-Industry Standard Process for Data Mining.
.- Solar Storm Effects on Quantum Communication Network Performance.
.- MADFACTs:A Meta-learning Augmented Defense Framework for Adversarial Cyber Techniques.
.- SECTION: SCIENTIFIC COMPUTING AND UTILIZATION OF ARTIFICIAL INTELLIGENCE
.- A Hybrid Statistical-Machine Learning Framework for Assessing Structural Accuracy in Predicted Protein Models.
.- Machine Learning and Data Analysis Method for Predicting an Efficient Algorithm for Heterogeneous Multicore Scheduling.
.- Heart Valvular Disease Detection Using Image-based Time Series and Transfer Learning.
.- Zero-Shot Perception and Spatiotemporal Transformers for Automated Gait and Footpad Score Classification.
.- Causal Inference for Observational Studies: Deep Learning Approaches to Counterfactual Generative Modeling.
.- Preserving Medical Meaning Across Languages: A UMLS-Driven Approach with Small Language Models.
.- Evaluating Large Language Models for Explaining Insecure Code and Identifying Vulnerabilities in Java and Python.
.- AI-Sensing Neuromorphic Computing for Cybersecurity in Healthcare Data Lakes.
.- Academic Risk Prediction: An Artificial Intelligence-Based Approach Using Psychoeducational Variables.
.- SECTION: QUANTUM COMPUTING, SECURITY, AND APPLICATIONS.
.- Lattice-Based Encryption in Building Post Quantum-Resistant Algorithms for Next-Generation Security.
.- Crypto-Agility in Post-Quantum Cybersecurity with AI-Driven Dynamic Key Management.
.- Quantum-Resilient Edge Computing Cryptography for Resource-Limited Medical IoT.
.- Quantum-Enhanced Intrusion Detection: A Novel Hybrid Approach Using Quantum Deep Learning.
.- SECTION: SCIENTIFIC COMPUTING, DISTRIBUTED PROCESSING, OPTIMIZATION, NUMERICAL METHODS, AND APPLICATIONS.
.- Synchronous Blocking Data Transfer Over Wi-Fi Using Java Fork-Join Versus Virtual Threads and Structured Concurrency.
.- Example of Non-Linear Map with Non-Unique Transition to Dynamic Chaos.
.- Transmission Range Test for a LoRa-based in-situ Water Assessment System in the Vaal Region.
.- Representation of Multidimensional Chaotic Models with Closed-Form Invariant Distributions as Compositions of Symmetric Functions.
.- Formulation of Voltage Stability Second Order Governing Equation and Arithmetic Moving Average for Transmission Line Prediction and Improvement.
.- Comparative Analysis of Scheduling Algorithms Relative to O(n) Characteristics.
.- Parallel and Sequential Algorithms for Detecting Sparse Binary Squares with Three Ones.
.- Voltage Collapse Instability Prediction of Nigerian 330kV Transmission Network Using Predictive Optimizer and Arithmetic Moving Average Technique for Enhancement.
.- Evaluation of the Impact of Preprocessing and Selection of Characteristics on the Classification of Feelings.
.- Density of States of Triangular Antiferromagnetic Ising Models of Finite Size.
.- Language Foundations for HPC Array Structures.
.- Design and Analysis of Recursive Algorithms - A Modern Perspective.
.- Counting Nonisomorphic Magic Venn Diagrams.
.- Enhanced Pneumonia Detection in Chest X-rays via KPCA and Multi-Kernel SVM.
.- Network-Scale Fault Tolerant Computing - A von Neumann Multiprocessor Architecture.
.- Investigating the Use of Quantum Computing and Quantum Machine Learning in Speech Recognition Systems: A Comprehensive Survey of Recent Advancements.
.- SECTION: POSTER RESEARCH PAPERS
.- High Performance Algorithms for Network Routing using In-Memory Computing
