Reinforcement Learning Based Sensor Optimization for Bio-markers
Fuente:
arXiv
Saved in:
| Main Authors: | Khandelwal, Sajal, Kumar, Pawan, Azeemuddin, Syed |
|---|---|
| Format: | Preprint |
| Published: |
2023
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Ant Colony Inspired Machine Learning Algorithm for Identifying and Emulating Virtual Sensors
by: Mani, Pranav, et al.
Published: (2020)
by: Mani, Pranav, et al.
Published: (2020)
A Comprehensive Comparison Between ANNs and KANs For Classifying EEG Alzheimer's Data
by: Sunkara, Akshay, et al.
Published: (2024)
by: Sunkara, Akshay, et al.
Published: (2024)
Correntropy-Based Improper Likelihood Model for Robust Electrophysiological Source Imaging
by: Li, Yuanhao, et al.
Published: (2024)
by: Li, Yuanhao, et al.
Published: (2024)
Few-Shot Transfer Learning for Individualized Braking Intent Detection on Neuromorphic Hardware
by: Lutes, Nathan, et al.
Published: (2024)
by: Lutes, Nathan, et al.
Published: (2024)
ENN: A Neural Network with DCT Adaptive Activation Functions
by: Martinez-Gost, Marc, et al.
Published: (2023)
by: Martinez-Gost, Marc, et al.
Published: (2023)
On the Computational Complexities of Complex-valued Neural Networks
by: Mayer, Kayol Soares, et al.
Published: (2023)
by: Mayer, Kayol Soares, et al.
Published: (2023)
Resonate-and-Fire Spiking Neurons for Target Detection and Hand Gesture Recognition: A Hybrid Approach
by: Shaaban, Ahmed, et al.
Published: (2024)
by: Shaaban, Ahmed, et al.
Published: (2024)
Explainable Dual-Attention Tabular Transformer for Soil Electrical Resistivity Prediction: A Decision Support Framework for High-Voltage Substation Construction
by: Kongkitkul, Warat, et al.
Published: (2025)
by: Kongkitkul, Warat, et al.
Published: (2025)
EventF2S: Asynchronous and Sparse Spiking AER Framework using Neuromorphic-Friendly Algorithm
by: Annamalai, Lakshmi, et al.
Published: (2024)
by: Annamalai, Lakshmi, et al.
Published: (2024)
Efficient FPGA-accelerated Convolutional Neural Networks for Cloud Detection on CubeSats
by: Cratere, Angela, et al.
Published: (2025)
by: Cratere, Angela, et al.
Published: (2025)
Adaptive Split-MMD Training for Small-Sample Cross-Dataset P300 EEG Classification
by: Chen, Weiyu, et al.
Published: (2025)
by: Chen, Weiyu, et al.
Published: (2025)
Neural Memory Networks for Seizure Type Classification
by: Ahmedt-Aristizabal, David, et al.
Published: (2019)
by: Ahmedt-Aristizabal, David, et al.
Published: (2019)
Towards a tailored mixed-precision sub-8-bit quantization scheme for Gated Recurrent Units using Genetic Algorithms
by: Miccini, Riccardo, et al.
Published: (2024)
by: Miccini, Riccardo, et al.
Published: (2024)
Recurrent Auto-Encoder Model for Large-Scale Industrial Sensor Signal Analysis
by: Wong, Timothy, et al.
Published: (2018)
by: Wong, Timothy, et al.
Published: (2018)
Intelligent machines work in unstructured environments by differential neuromorphic computing
by: Wang, Shengbo, et al.
Published: (2023)
by: Wang, Shengbo, et al.
Published: (2023)
Winner-takes-all learners are geometry-aware conditional density estimators
by: Letzelter, Victor, et al.
Published: (2024)
by: Letzelter, Victor, et al.
Published: (2024)
Deep Survival Analysis from Adult and Pediatric Electrocardiograms: A Multi-center Benchmark Study
by: Lukyanenko, Platon, et al.
Published: (2024)
by: Lukyanenko, Platon, et al.
Published: (2024)
LGGNet: Learning from Local-Global-Graph Representations for Brain-Computer Interface
by: Ding, Yi, et al.
Published: (2021)
by: Ding, Yi, et al.
Published: (2021)
Towards Green AI-Native Networks: Evaluation of Neural Circuit Policy for Estimating Energy Consumption of Base Stations
by: Ickin, Selim, et al.
Published: (2025)
by: Ickin, Selim, et al.
Published: (2025)
Over-The-Air Extreme Learning Machines with XL Reception via Nonlinear Cascaded Metasurfaces
by: Stylianopoulos, Kyriakos, et al.
Published: (2026)
by: Stylianopoulos, Kyriakos, et al.
Published: (2026)
Delayed Memory Unit: Modelling Temporal Dependency Through Delay Gate
by: Sun, Pengfei, et al.
Published: (2023)
by: Sun, Pengfei, et al.
Published: (2023)
Real-time respiratory motion forecasting with online learning of recurrent neural networks for accurate targeting in externally guided radiotherapy
by: Pohl, Michel, et al.
Published: (2024)
by: Pohl, Michel, et al.
Published: (2024)
Listen to the Waves: Using a Neuronal Model of the Human Auditory System to Predict Ocean Waves
by: Matysiak, Artur, et al.
Published: (2024)
by: Matysiak, Artur, et al.
Published: (2024)
EGNN-C+: Interpretable Evolving Granular Neural Network and Application in Classification of Weakly-Supervised EEG Data Streams
by: Leite, Daniel, et al.
Published: (2024)
by: Leite, Daniel, et al.
Published: (2024)
Gradient Networks
by: Chaudhari, Shreyas, et al.
Published: (2024)
by: Chaudhari, Shreyas, et al.
Published: (2024)
Graph Attention Networks for Detecting Epilepsy from EEG Signals Using Accessible Hardware in Low-Resource Settings
by: Mazurek, Szymon, et al.
Published: (2025)
by: Mazurek, Szymon, et al.
Published: (2025)
Adaptive Temporal Dynamics for Personalized Emotion Recognition: A Liquid Neural Network Approach
by: Bhattacharjee, Anindya, et al.
Published: (2026)
by: Bhattacharjee, Anindya, et al.
Published: (2026)
Synthetic Data Generation by Supervised Neural Gas Network for Physiological Emotion Recognition Data
by: Mousavi, S. Muhammad Hossein
Published: (2025)
by: Mousavi, S. Muhammad Hossein
Published: (2025)
SparrowSNN: A Hardware/software Co-design for Energy Efficient ECG Classification
by: Yan, Zhanglu, et al.
Published: (2024)
by: Yan, Zhanglu, et al.
Published: (2024)
Encoding Optimization for Low-Complexity Spiking Neural Network Equalizers in IM/DD Systems
by: Edelmann, Eike-Manuel, et al.
Published: (2025)
by: Edelmann, Eike-Manuel, et al.
Published: (2025)
Subject Specific Deep Learning Model for Motor Imagery Direction Decoding
by: Parashiva, Praveen K., et al.
Published: (2025)
by: Parashiva, Praveen K., et al.
Published: (2025)
Spiking Neural Network Accelerator Architecture for Differential-Time Representation using Learned Encoding
by: Windhager, Daniel, et al.
Published: (2025)
by: Windhager, Daniel, et al.
Published: (2025)
ADMM-Based Training for Spiking Neural Networks
by: Perin, Giovanni, et al.
Published: (2025)
by: Perin, Giovanni, et al.
Published: (2025)
Evaluating PQC KEMs, Combiners, and Cascade Encryption via Adaptive IND-CPA Testing Using Deep Learning
by: Calderon, Simon, et al.
Published: (2026)
by: Calderon, Simon, et al.
Published: (2026)
A Differential Evolution Algorithm with Neighbor-hood Mutation for DOA Estimation
by: Zhou, Bo, et al.
Published: (2025)
by: Zhou, Bo, et al.
Published: (2025)
Hi-WaveTST: A Hybrid High-Frequency Wavelet-Transformer for Time-Series Classification
by: Goksu, Huseyin
Published: (2025)
by: Goksu, Huseyin
Published: (2025)
On the Sampling Sparsity of Neuromorphic Analog-to-Spike Conversion based on Leaky Integrate-and-Fire
by: Moser, Bernhard A., et al.
Published: (2024)
by: Moser, Bernhard A., et al.
Published: (2024)
Neuromorphic FPGA Design for Digital Signal Processing
by: London, Justin
Published: (2026)
by: London, Justin
Published: (2026)
A 1.6-fJ/Spike Subthreshold Analog Spiking Neuron in 28 nm CMOS
by: Besrour, Marwan, et al.
Published: (2024)
by: Besrour, Marwan, et al.
Published: (2024)
A brain-inspired generative model for EEG-based cognitive state identification
by: Hu, Bin, et al.
Published: (2025)
by: Hu, Bin, et al.
Published: (2025)
Similar Items
-
Ant Colony Inspired Machine Learning Algorithm for Identifying and Emulating Virtual Sensors
by: Mani, Pranav, et al.
Published: (2020) -
A Comprehensive Comparison Between ANNs and KANs For Classifying EEG Alzheimer's Data
by: Sunkara, Akshay, et al.
Published: (2024) -
Correntropy-Based Improper Likelihood Model for Robust Electrophysiological Source Imaging
by: Li, Yuanhao, et al.
Published: (2024) -
Few-Shot Transfer Learning for Individualized Braking Intent Detection on Neuromorphic Hardware
by: Lutes, Nathan, et al.
Published: (2024) -
ENN: A Neural Network with DCT Adaptive Activation Functions
by: Martinez-Gost, Marc, et al.
Published: (2023)