research
∙
09/30/2022
Ensemble Machine Learning Model Trained on a New Synthesized Dataset Generalizes Well for Stress Prediction Using Wearable Devices
Introduction. We investigate the generalization ability of models built ...
share
research
∙
09/29/2022
Machine Learning for Stress Monitoring from Wearable Devices: A Systematic Literature Review
Introduction. The stress response has both subjective, psychological and...
research
∙
06/20/2022
Seizure Detection and Prediction by Parallel Memristive Convolutional Neural Networks
During the past two decades, epileptic seizure detection and prediction ...
research
∙
05/13/2022
Toward A Formalized Approach for Spike Sorting Algorithms and Hardware Evaluation
Spike sorting algorithms are used to separate extracellular recordings o...
research
∙
02/15/2022
Navigating Local Minima in Quantized Spiking Neural Networks
Spiking and Quantized Neural Networks (NNs) are becoming exceedingly imp...
research
∙
01/18/2022
Design Space Exploration of Dense and Sparse Mapping Schemes for RRAM Architectures
The impact of device and circuit-level effects in mixed-signal Resistive...
research
∙
03/11/2021
Memristive Stochastic Computing for Deep Learning Parameter Optimization
Stochastic Computing (SC) is a computing paradigm that allows for the lo...
research
∙
02/17/2021
Towards Memristive Deep Learning Systems for Real-time Mobile Epileptic Seizure Prediction
The unpredictability of seizures continues to distress many people with ...
research
∙
12/12/2020
Internet of Underwater Things and Big Marine Data Analytics – A Comprehensive Survey
The Internet of Underwater Things (IoUT) is an emerging communication ec...
research
∙
11/06/2020
Affinity LCFCN: Learning to Segment Fish with Weak Supervision
Aquaculture industries rely on the availability of accurate fish body me...
research
∙
01/08/2020
Training Progressively Binarizing Deep Networks Using FPGAs
While hardware implementations of inference routines for Binarized Neura...
research
∙
10/14/2019
Variation-aware Binarized Memristive Networks
The quantization of weights to binary states in Deep Neural Networks (DN...
research
∙
05/15/2019
Accelerating Deterministic and Stochastic Binarized Neural Networks on FPGAs Using OpenCL
Recent technological advances have proliferated the available computing ...
research
∙
10/09/2018
DeepWeeds: A Multiclass Weed Species Image Dataset for Deep Learning
Robotic weed control has seen increased research in the past decade with...
research
∙
03/30/2013
A Neuromorphic VLSI Design for Spike Timing and Rate Based Synaptic Plasticity
Triplet-based Spike Timing Dependent Plasticity (TSTDP) is a powerful sy...
research
∙
04/08/2012