Cover Image

Zonal Architecture Development with evolution of Artificial Intelligence

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Shetiya, Sneha Sudhir, Vyas, Vikas, Renukuntla, Shreyas
Format:	Preprint
Published:	2024
Subjects:	Neural and Evolutionary Computing Artificial Intelligence Systems and Control
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Intelligent Electric Power Steering: Artificial Intelligence Integration Enhances Vehicle Safety and Performance
by: Vyas, Vikas, et al.
Published: (2024)

Verification and Validation of Autonomous Systems
by: Shetiya, Sneha Sudhir, et al.
Published: (2024)

Boosting the Efficiency of Metaheuristics Through Opposition-Based Learning in Optimum Locating of Control Systems in Tall Buildings
by: Farahmand-Tabar, Salar, et al.
Published: (2024)

Inferring Ingrained Remote Information in AC Power Flows Using Neuromorphic Modality Regime
by: Diao, Xiaoguang, et al.
Published: (2024)

Federated Neuroevolution O-RAN: Enhancing the Robustness of Deep Reinforcement Learning xApps
by: Kouchaki, Mohammadreza, et al.
Published: (2025)

Joint Sensor Deployment and Physics-Informed Graph Transformer for Smart Grid Attack Detection
by: Elnour, Mariam, et al.
Published: (2026)

Utility Theory based Cognitive Modeling in the Application of Robotics: A Survey
by: Yang, Qin
Published: (2023)

A Cloud-Edge Framework for Energy-Efficient Event-Driven Control: An Integration of Online Supervised Learning, Spiking Neural Networks and Local Plasticity Rules
by: Ahmadvand, Reza, et al.
Published: (2024)

Guidance Design for Escape Flight Vehicle Using Evolution Strategy Enhanced Deep Reinforcement Learning
by: Hu, Xiao, et al.
Published: (2024)

Neural Control System for Continuous Glucose Monitoring and Maintenance
by: Wasi, Azmine Toushik
Published: (2024)

Real-world validation of safe reinforcement learning, model predictive control and decision tree-based home energy management systems
by: Ruddick, Julian, et al.
Published: (2024)

Neuromorphic Event-Driven Semantic Communication in Microgrids
by: Diao, Xiaoguang, et al.
Published: (2024)

Spike Talk in Power Electronic Grids -- Leveraging Post Moore's Computing Laws
by: Song, Yubo, et al.
Published: (2024)

Combining Large Language Models and Gradient-Free Optimization for Automatic Control Policy Synthesis
by: Bosio, Carlo, et al.
Published: (2025)

Optimality Principles and Neural Ordinary Differential Equations-based Process Modeling for Distributed Control
by: Wartmann, Michael R., et al.
Published: (2025)

Engineering Hybrid Physics-Informed Neural Networks for Next-Generation Electricity Systems: A State-of-the-Art Review
by: Nyangon, Joseph
Published: (2026)

Application of Zone Method based Physics-Informed Neural Networks in Reheating Furnaces
by: Dutta, Ujjal Kr, et al.
Published: (2023)

An Introductory Review of Spiking Neural Network and Artificial Neural Network: From Biological Intelligence to Artificial Intelligence
by: Zheng, Shengjie, et al.
Published: (2022)

The Digital Ecosystem of Beliefs: does evolution favour AI over humans?
by: Bossens, David M., et al.
Published: (2024)

On Improvisation and Open-Endedness: Insights for Experiential AI
by: Hu, Botao 'Amber'
Published: (2025)

Advanced Intelligent Optimization Algorithms for Multi-Objective Optimal Power Flow in Future Power Systems: A Review
by: Li, Yuyan
Published: (2024)

Artificial Intelligence Based Navigation in Quasi Structured Environment
by: Kumar, Hariram Sampath, et al.
Published: (2024)

Life-inspired Interoceptive Artificial Intelligence for Autonomous and Adaptive Agents
by: Lee, Sungwoo, et al.
Published: (2023)

Understanding Electro-communication and Electro-sensing in Weakly Electric Fish using Multi-Agent Deep Reinforcement Learning
by: Singh, Satpreet H., et al.
Published: (2025)

Towards Self-constructive Artificial Intelligence: Algorithmic basis (Part I)
by: Corbacho, Fernando J.
Published: (2019)

Pascal-Weighted Genetic Algorithms: A Binomially-Structured Recombination Framework
by: Basir, Otman A.
Published: (2025)

A Neuro-Fuzzy System for Interpretable Long-Term Stock Market Forecasting
by: Ožbot, Miha, et al.
Published: (2025)

Evolutionary Computation for the Design and Enrichment of General-Purpose Artificial Intelligence Systems: Survey and Prospects
by: Poyatos, Javier, et al.
Published: (2024)

Advanced Artificial Intelligence Strategy for Optimizing Urban Rail Network Design using Nature-Inspired Algorithms
by: Kumar, Hariram Sampath, et al.
Published: (2024)

Semantic knowledge guides innovation and drives cultural evolution
by: Yaman, Anil, et al.
Published: (2025)

Addressing Unboundedness in Quadratically-Constrained Mixed-Integer Problems
by: Zepko, Guy, et al.
Published: (2024)

Conserving Human Creativity with Evolutionary Generative Algorithms: A Case Study in Music Generation
by: Kilb, Justin, et al.
Published: (2024)

Dynamic Detection of Relevant Objectives and Adaptation to Preference Drifts in Interactive Evolutionary Multi-Objective Optimization
by: Shavarani, Seyed Mahdi, et al.
Published: (2024)

Halfway Escape Optimization: A Quantum-Inspired Solution for General Optimization Problems
by: Li, Jiawen, et al.
Published: (2024)

Performance Comparison of Surrogate-Assisted Evolutionary Algorithms on Computational Fluid Dynamics Problems
by: Kudela, Jakub, et al.
Published: (2024)

HiFo-Prompt: Prompting with Hindsight and Foresight for LLM-based Automatic Heuristic Design
by: Chen, Chentong, et al.
Published: (2025)

Correlated Mutations for Integer Programming
by: Shir, Ofer M., et al.
Published: (2025)

Joint Hardware-Workload Co-Optimization for In-Memory Computing Accelerators
by: Krestinskaya, Olga, et al.
Published: (2026)

A Variational Latent Equilibrium for Learning in Neuronal Circuits
by: Brandt, Simon, et al.
Published: (2026)

Unsupervised local learning based on voltage-dependent synaptic plasticity for resistive and ferroelectric synapses
by: Garg, Nikhil, et al.
Published: (2025)