BiomedBench: A benchmark suite of TinyML biomedical applications for low-power wearables
Fuente:
arXiv
Saved in:
| Main Authors: | Samakovlis, Dimitrios, Albini, Stefano, Álvarez, Rubén Rodríguez, Constantinescu, Denisa-Andreea, Schiavone, Pasquale Davide, Quirós, Miguel Peón, Atienza, David |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Enabling Efficient Wearables: An Analysis of Low-Power Microcontrollers for Biomedical Applications
by: Samakovlis, Dimitrios, et al.
Published: (2024)
by: Samakovlis, Dimitrios, et al.
Published: (2024)
CEO-DC: Driving Decarbonization in HPC Data Centers with Actionable Insights
by: Álvarez, Rubén Rodríguez, et al.
Published: (2025)
by: Álvarez, Rubén Rodríguez, et al.
Published: (2025)
X-HEEP: An Open-Source, Configurable and Extendible RISC-V Platform for TinyAI Applications
by: Machetti, Simone, et al.
Published: (2025)
by: Machetti, Simone, et al.
Published: (2025)
GridPilot: Real-Time Grid-Responsive Control for AI Supercomputers
by: Constantinescu, Denisa-Andreea, et al.
Published: (2026)
by: Constantinescu, Denisa-Andreea, et al.
Published: (2026)
X-HEEP: An Open-Source, Configurable and Extendible RISC-V Microcontroller for the Exploration of Ultra-Low-Power Edge Accelerators
by: Machetti, Simone, et al.
Published: (2024)
by: Machetti, Simone, et al.
Published: (2024)
Cough-E: A multimodal, privacy-preserving cough detection algorithm for the edge
by: Albini, Stefano, et al.
Published: (2024)
by: Albini, Stefano, et al.
Published: (2024)
Accelerating TinyML Inference on Microcontrollers through Approximate Kernels
by: Armeniakos, Giorgos, et al.
Published: (2024)
by: Armeniakos, Giorgos, et al.
Published: (2024)
TinyML for Speech Recognition
by: Barovic, Andrew, et al.
Published: (2025)
by: Barovic, Andrew, et al.
Published: (2025)
AquaCast: Urban Water Dynamics Forecasting with Precipitation-Informed Multi-Input Transformer
by: Abdollahinejad, Golnoosh, et al.
Published: (2025)
by: Abdollahinejad, Golnoosh, et al.
Published: (2025)
astroCAMP: A Community Benchmark and Co-Design Framework for Sustainable SKA-Scale Radio Imaging
by: Constantinescu, Denisa-Andreea, et al.
Published: (2025)
by: Constantinescu, Denisa-Andreea, et al.
Published: (2025)
TinySV: Speaker Verification in TinyML with On-device Learning
by: Pavan, Massimo, et al.
Published: (2024)
by: Pavan, Massimo, et al.
Published: (2024)
Quadrilatero: A RISC-V programmable matrix coprocessor for low-power edge applications
by: Cammarata, Danilo, et al.
Published: (2025)
by: Cammarata, Danilo, et al.
Published: (2025)
TinyChirp: Bird Song Recognition Using TinyML Models on Low-power Wireless Acoustic Sensors
by: Huang, Zhaolan, et al.
Published: (2024)
by: Huang, Zhaolan, et al.
Published: (2024)
e-GPU: An Open-Source and Configurable RISC-V Graphic Processing Unit for TinyAI Applications
by: Machetti, Simone, et al.
Published: (2025)
by: Machetti, Simone, et al.
Published: (2025)
MLonMCU: TinyML Benchmarking with Fast Retargeting
by: van Kempen, Philipp, et al.
Published: (2023)
by: van Kempen, Philipp, et al.
Published: (2023)
TinyML-Enabled IoT for Sustainable Precision Irrigation
by: Taueatsoala, Kamogelo, et al.
Published: (2026)
by: Taueatsoala, Kamogelo, et al.
Published: (2026)
TinyML Enhances CubeSat Mission Capabilities
by: Capogrosso, Luigi, et al.
Published: (2026)
by: Capogrosso, Luigi, et al.
Published: (2026)
StreamTinyNet: video streaming analysis with spatial-temporal TinyML
by: Shalby, Hazem Hesham Yousef, et al.
Published: (2024)
by: Shalby, Hazem Hesham Yousef, et al.
Published: (2024)
Integration of TinyML and LargeML: A Survey of 6G and Beyond
by: Vu, Thai-Hoc, et al.
Published: (2025)
by: Vu, Thai-Hoc, et al.
Published: (2025)
Enhancing TinyML Security: Study of Adversarial Attack Transferability
by: Shah, Parin, et al.
Published: (2024)
by: Shah, Parin, et al.
Published: (2024)
On-device Online Learning and Semantic Management of TinyML Systems
by: Ren, Haoyu, et al.
Published: (2024)
by: Ren, Haoyu, et al.
Published: (2024)
TinyML for Acoustic Anomaly Detection in IoT Sensor Networks
by: Almaini, Amar, et al.
Published: (2026)
by: Almaini, Amar, et al.
Published: (2026)
FADE: Forecasting for Anomaly Detection on ECG
by: Ruiz-Barroso, Paula, et al.
Published: (2025)
by: Ruiz-Barroso, Paula, et al.
Published: (2025)
TinyNav: End-to-End TinyML for Real-Time Autonomous Navigation on Microcontrollers
by: Roy, Pooria, et al.
Published: (2026)
by: Roy, Pooria, et al.
Published: (2026)
Invited Paper: FEMU: An Open-Source and Configurable Emulation Framework for Prototyping TinyAI Heterogeneous Systems
by: Machetti, Simone, et al.
Published: (2025)
by: Machetti, Simone, et al.
Published: (2025)
MetaWearS: A Shortcut in Wearable Systems Lifecycle with Only a Few Shots
by: Amirshahi, Alireza, et al.
Published: (2024)
by: Amirshahi, Alireza, et al.
Published: (2024)
On TinyML and Cybersecurity: Electric Vehicle Charging Infrastructure Use Case
by: Dehrouyeh, Fatemeh, et al.
Published: (2024)
by: Dehrouyeh, Fatemeh, et al.
Published: (2024)
MicroFlow: An Efficient Rust-Based Inference Engine for TinyML
by: Carnelos, Matteo, et al.
Published: (2024)
by: Carnelos, Matteo, et al.
Published: (2024)
A Survey of TinyML Applications in Beekeeping for Hive Monitoring and Management
by: Sucipto, Willy, et al.
Published: (2025)
by: Sucipto, Willy, et al.
Published: (2025)
Optimizing Split Learning Latency in TinyML-Based IoT Systems
by: Jenhani, Zied, et al.
Published: (2025)
by: Jenhani, Zied, et al.
Published: (2025)
Can LLMs Revolutionize the Design of Explainable and Efficient TinyML Models?
by: Zeinaty, Christophe El, et al.
Published: (2025)
by: Zeinaty, Christophe El, et al.
Published: (2025)
TinyML Induced Portable Food Defect Detection for Edge Computing
by: Yanxia Liu
Published: (2025)
by: Yanxia Liu
Published: (2025)
Combining Multi-Objective Bayesian Optimization with Reinforcement Learning for TinyML
by: Deutel, Mark, et al.
Published: (2023)
by: Deutel, Mark, et al.
Published: (2023)
Dendron: Enhancing Human Activity Recognition with On-Device TinyML Learning
by: Shalby, Hazem Hesham Yousef, et al.
Published: (2025)
by: Shalby, Hazem Hesham Yousef, et al.
Published: (2025)
Once-for-All Channel Mixers (HYPERTINYPW): Generative Compression for TinyML
by: Shaalan, Yassien
Published: (2026)
by: Shaalan, Yassien
Published: (2026)
TGTM: TinyML-based Global Tone Mapping for HDR Sensors
by: Todorov, Peter, et al.
Published: (2024)
by: Todorov, Peter, et al.
Published: (2024)
HTVM: Efficient Neural Network Deployment On Heterogeneous TinyML Platforms
by: Van Delm, Josse, et al.
Published: (2024)
by: Van Delm, Josse, et al.
Published: (2024)
TinyML-Based Adaptive Pulse Shaping for Edge Intelligence in IoT/IIoT
by: Ali, Afan
Published: (2025)
by: Ali, Afan
Published: (2025)
What changes after deployment? A survey on On-device Learning in TinyML
by: Pavan, Massimo, et al.
Published: (2026)
by: Pavan, Massimo, et al.
Published: (2026)
EcoPull: Sustainable IoT Image Retrieval Empowered by TinyML Models
by: Thorsager, Mathias, et al.
Published: (2024)
by: Thorsager, Mathias, et al.
Published: (2024)
Similar Items
-
Enabling Efficient Wearables: An Analysis of Low-Power Microcontrollers for Biomedical Applications
by: Samakovlis, Dimitrios, et al.
Published: (2024) -
CEO-DC: Driving Decarbonization in HPC Data Centers with Actionable Insights
by: Álvarez, Rubén Rodríguez, et al.
Published: (2025) -
X-HEEP: An Open-Source, Configurable and Extendible RISC-V Platform for TinyAI Applications
by: Machetti, Simone, et al.
Published: (2025) -
GridPilot: Real-Time Grid-Responsive Control for AI Supercomputers
by: Constantinescu, Denisa-Andreea, et al.
Published: (2026) -
X-HEEP: An Open-Source, Configurable and Extendible RISC-V Microcontroller for the Exploration of Ultra-Low-Power Edge Accelerators
by: Machetti, Simone, et al.
Published: (2024)