HAS-RL: A Hierarchical Approximate Scheme Optimized With Reinforcement Learning for NoC-Based NN Accelerators

A Data-Driven Model for Power Loss Estimation of Magnetic Materials Based on Multi-Objective Optimization and Transfer Learning

Application of Deep Neural Networks to the Operator Space of Nonlinear PDE for Physics-Based Proxy Modelling

Towards Efficient Personalized Driver Behavior Modeling with Machine Unlearning

On the Reliability of RRAM-Based Neural Networks

Evaluation of Creep Behavior of Soft Soils by Utilizing Multisensor Data Combined with Machine Learning

Supervised machine learning in microfluidic impedance flow cytometry for improved particle size determination

Secondary Frequency Control of Microgrids: An Online Reinforcement Learning Approach

A Data-drive Approach for Robust Cockpit Crew Training Scheduling

A Compact Neural Network for Fused Lasso Signal Approximator

An energy efficient time-mode digit classification neural network implementation

Power Prediction of Airborne Wind Energy Systems Using Multivariate Machine Learning

FlexHH: A Flexible Hardware Library for Hodgkin-Huxley-Based Neural Simulations

Sliding mode control with neural network for active magnetic bearing system

Are Nearby Neighbors Relatives?: Testing Deep Music Embeddings

Transfer Learning of Artist Group Factors to Musical Genre Classification

Neural Network-based Load Forecasting and Error Implication for Short-term Horizon

No-Reference image quality assessment based on localized gradient statistics: Application to JPEG and JPEG2000

Knowledge Discovery and Pavement Performance: Intelligent Data Mining

Wave transmission at low-crested structures using neural networks