:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Eslami, M. Reza, Biswas, Dhiman, Takhtardeshir, Soheib, Sharif, Sarah S., Banad, Yaser M.
Format:	Preprint
Published:	2024
Subjects:	Neural and Evolutionary Computing Materials Science Machine Learning
Online Access:	https://arxiv.org/abs/2408.14680
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Neuromorphic Digital-Twin-based Controller for Indoor Multi-UAV Systems Deployment
by: Ahmadvand, Reza, et al.
Published: (2025)

A Unified Phase-native Computational Principle Governs Hippocampal Spike Timing and Neural Coding
by: Ahmadvand, Reza, et al.
Published: (2026)

Neuromorphic Robust Estimation of Nonlinear Dynamical Systems Applied to Satellite Rendezvous
by: Ahmadvand, Reza, et al.
Published: (2024)

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)

Ultra-Low-Power Spiking Neurons in 7 nm FinFET Technology: A Comparative Analysis of Leaky Integrate-and-Fire, Morris-Lecar, and Axon-Hillock Architectures
by: Larsh, Logan, et al.
Published: (2025)

Topology Optimization of Random Memristors for Input-Aware Dynamic SNN
by: Wang, Bo, et al.
Published: (2024)

A Multiplication-Free Spike-Time Learning Algorithm and its Efficient FPGA Implementation for On-Chip SNN Training
by: Mirsadeghi, Maryam, et al.
Published: (2026)

Spatiotemporal Radar Gesture Recognition with Hybrid Spiking Neural Networks: Balancing Accuracy and Efficiency
by: Mazzieri, Riccardo, et al.
Published: (2025)

Accelerated Discovery of Vanadium Oxide Compositions: A WGAN-VAE Framework for Materials Design
by: Ebrahimzadeh, Danial, et al.
Published: (2025)

A Flexible Job Shop Scheduling Problem Involving Reconfigurable Machine Tools Under Industry 5.0
by: Bakhshi-Khaniki, Hessam, et al.
Published: (2024)

On-Chip Learning via Transformer In-Context Learning
by: Finkbeiner, Jan, et al.
Published: (2024)

Improving CMA-ES Convergence Speed, Efficiency, and Reliability in Noisy Robot Optimization Problems
by: Martin, Russell M., et al.
Published: (2026)

Artificial Cardiac Conduction System: Simulating Heart Function for Advanced Computational Problem Solving
by: Omer, Rebaz Mohammed Dler, et al.
Published: (2024)

GARA: A novel approach to Improve Genetic Algorithms' Accuracy and Efficiency by Utilizing Relationships among Genes
by: Shi, Zhaoning, et al.
Published: (2024)

Cascading CMA-ES Instances for Generating Input-diverse Solution Batches
by: Santoni, Maria Laura, et al.
Published: (2025)

Analysis and Fully Memristor-based Reservoir Computing for Temporal Data Classification
by: Singh, Ankur, et al.
Published: (2024)

Noise Adaptor: Enhancing Low-Latency Spiking Neural Networks through Noise-Injected Low-Bit ANN Conversion
by: Li, Chen, et al.
Published: (2024)

CMA-ES with Adaptive Reevaluation for Multiplicative Noise
by: Uchida, Kento, et al.
Published: (2024)

Memristor-Based Spiking Neural Network Accelerator for Bio-inspired Interception Task
by: Qu, Qianhou, et al.
Published: (2026)

Spiking Neural Networks with Consistent Mapping Relations Allow High-Accuracy Inference
by: Li, Yang, et al.
Published: (2024)

Neuromorphic Circuit Simulation with Memristors: Design and Evaluation Using MemTorch for MNIST and CIFAR
by: Souto, Julio, et al.
Published: (2024)

An On-Chip Trainable Neuron Circuit for SFQ-Based Spiking Neural Networks
by: Ucpinar, Beyza Zeynep, et al.
Published: (2023)

Evolutionary Algorithms Are Significantly More Robust to Noise When They Ignore It
by: Antipov, Denis, et al.
Published: (2024)

An Error Discovery and Correction for the Family of V-Shaped BPSO Algorithms
by: Zhao, Qing, et al.
Published: (2024)

Impact of Surrogate Model Accuracy on Performance and Model Management Strategy in Surrogate-Assisted Evolutionary Algorithms
by: Hanawa, Yuki, et al.
Published: (2025)

Input Invex Neural Network
by: Sapkota, Suman, et al.
Published: (2021)

An Adaptive Re-evaluation Method for Evolution Strategy under Additive Noise
by: Dinu, Catalin-Viorel, et al.
Published: (2024)

Contrastive Learning in Memristor-based Neuromorphic Systems
by: Merkel, Cory, et al.
Published: (2024)

Learning Dynamics in Memristor-Based Equilibrium Propagation
by: Döll, Michael, et al.
Published: (2025)

SNNF: An SNN-based Near-Sensor Noise Filter for Dynamic Vision Sensors
by: Yang, Yahan, et al.
Published: (2026)

Preliminary Results of Neuromorphic Controller Design and a Parkinson's Disease Dataset Building for Closed-Loop Deep Brain Stimulation
by: Biswas, Ananna, et al.
Published: (2024)

Bishop: Sparsified Bundling Spiking Transformers on Heterogeneous Cores with Error-Constrained Pruning
by: Xu, Boxun, et al.
Published: (2025)

Language Model Crossover: Variation through Few-Shot Prompting
by: Meyerson, Elliot, et al.
Published: (2023)

Exploring the Noise Resilience of Successor Features and Predecessor Features Algorithms in One and Two-Dimensional Environments
by: Lee, Hyunsu
Published: (2023)

Assessing an evolutionary search engine for small language models, prompts, and evaluation metrics
by: Lopes, Cláudio Lúcio do Val, et al.
Published: (2025)

The Alpha-Alternator: Dynamic Adaptation To Varying Noise Levels In Sequences Using The Vendi Score For Improved Robustness and Performance
by: Rezaei, Mohammad Reza, et al.
Published: (2025)

VVTEAM: A Compact Behavioral Model for Volatile Memristors
by: Patni, Tanay, et al.
Published: (2024)

Converting High-Performance and Low-Latency SNNs through Explicit Modelling of Residual Error in ANNs
by: Huang, Zhipeng, et al.
Published: (2024)

RNC: Efficient RRAM-aware NAS and Compilation for DNNs on Resource-Constrained Edge Devices
by: Loong, Kam Chi, et al.
Published: (2024)

A Predefined-Time Convergent and Noise-Tolerant Zeroing Neural Network Model for Time Variant Quadratic Programming With Application to Robot Motion Planning
by: Yang, Yi, et al.
Published: (2024)