Vol. 2 No. 3 (2024)

Articles

• Machine Learning for Predictive Maintenance in Cyber-Physical Systems

  Pat Mitchell, Pat Miller, Drew Allen

  35-49

  • Machine Learning for Predictive Maintenance in Cyber-Physical Systems

• Simulation-Based Optimization for Smart Grid Management

  Quinn Mitchell, Dana Turner, Morgan Perez

  150-164

  • Simulation-Based Optimization for Smart Grid Management

• Adaptive Algorithms in Cloud-Based Computational Systems

  Kai Campbell, Kim Campbell, Avery Miller

  4-19

  • Adaptive Algorithms in Cloud-Based Computational Systems

• Resolving Cache Coherence Violations in Heterogeneous Many-Core Architectures Under Non-Uniform Memory Access Constraints

  Sam Smith, Riley Brown, Cameron Parker, Sam Harris

  260-279

  • Resolving Cache Coherence Violations in Heterogeneous Many-Core Architectures Under Non-Uniform Memory Access Constraints

• Enhancing Computational Fluid Dynamics with Machine Learning Integration

  Quinn Green, Joseph Wilson, Jamie Anderson

  120-134

  • Enhancing Computational Fluid Dynamics with Machine Learning Integration

• An Advanced Methodological Optimization of Stochastic Gradient Descent for High-Dimensional Big Data Analysis in Computational Systems

  Jamie Campbell, Jordan Gonzalez, James Smith

  230-244

  • An Advanced Methodological Optimization of Stochastic Gradient Descent for High-Dimensional Big Data Analysis in Computational Systems

• Machine Learning Approaches for Climate Modeling

  Thomas Allen, Rowan Scott, Chris Harris

  85-104

  • Machine Learning Approaches for Climate Modeling

• Quantum Computing in Financial Modeling: Opportunities and Challenges

  Jamie Allen, Kim Jackson, Pat Smith

  195-214

  • Quantum Computing in Financial Modeling: Opportunities and Challenges

• Machine Learning Integration in Computational System Design

  Riley Hernandez, Dana Robinson, Pat Carter

  50-69

  • Machine Learning Integration in Computational System Design

• Advancements in Computational Fluid Dynamics for Aerodynamic Design

  Daniel Hall, Sam Baker, Robin Harris

  165-179

  • Advancements in Computational Fluid Dynamics for Aerodynamic Design

• Enhancing Computational Dynamics in Smart Grids

  Adrian Lewis, Jamie Adams, Riley Adams

  20-34

  • Enhancing Computational Dynamics in Smart Grids

• Empirical Analysis of Quantum Algorithms in Multi-Objective Optimization: A Case Study on Resource Allocation

  Casey Allen, Jordan Jones, Edward Ward, Pat Taylor

  280-294

  • Empirical Analysis of Quantum Algorithms in Multi-Objective Optimization: A Case Study on Resource Allocation

• Advancements in Computational Genomics for Personalized Medicine

  Taylor Brown, Quinn Baker, Alex White

  135-149

  • Advancements in Computational Genomics for Personalized Medicine

• Empirical Analysis of Quantum Computational Methods in Solving Large-Scale Lindblad Equations

  Alex Gonzalez, Sam Campbell, Casey Anderson, William Scott

  245-259

  • Empirical Analysis of Quantum Computational Methods in Solving Large-Scale Lindblad Equations

• Neural Network Architectures for Real-Time Image Processing

  Quinn Wright, Pat Lee, Riley Garcia

  105-119

  • Neural Network Architectures for Real-Time Image Processing

• Adaptive Tensor Decomposition for Real-Time Anomaly Detection in High-Dimensional Data Streams

  Riley Parker, Chris Taylor, Olivia Walker, Adrian Hernandez

  215-229

  • Adaptive Tensor Decomposition for Real-Time Anomaly Detection in High-Dimensional Data Streams

• Optimizing Cloud-Based Computational Systems for Energy Efficiency

  Skyler Jones, Morgan Rodriguez, Skyler Wright

  70-84

  • Optimizing Cloud-Based Computational Systems for Energy Efficiency

• Emerging Trends in Bioinformatics: Computational Approaches to Genomic Data

  Nico Jones, Taylor Wright, Jordan Perez

  180-194

  • Emerging Trends in Bioinformatics: Computational Approaches to Genomic Data