:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Madhiha, Zarin Anjum, Mazumder, Antar, Hiam, Sohani Munteha
Format:	Preprint
Published:	2024
Subjects:	Robotics
Online Access:	https://arxiv.org/abs/2411.08474
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

L-VITeX: Light-weight Visual Intuition for Terrain Exploration
by: Mazumder, Antar, et al.
Published: (2024)

TinyML for Speech Recognition
by: Barovic, Andrew, et al.
Published: (2025)

TinyNav: End-to-End TinyML for Real-Time Autonomous Navigation on Microcontrollers
by: Roy, Pooria, et al.
Published: (2026)

TinySV: Speaker Verification in TinyML with On-device Learning
by: Pavan, Massimo, et al.
Published: (2024)

Wake Vision: A Tailored Dataset and Benchmark Suite for TinyML Computer Vision Applications
by: Banbury, Colby, et al.
Published: (2024)

MLonMCU: TinyML Benchmarking with Fast Retargeting
by: van Kempen, Philipp, et al.
Published: (2023)

TinyML-Enabled IoT for Sustainable Precision Irrigation
by: Taueatsoala, Kamogelo, et al.
Published: (2026)

TinyML Enhances CubeSat Mission Capabilities
by: Capogrosso, Luigi, et al.
Published: (2026)

StreamTinyNet: video streaming analysis with spatial-temporal TinyML
by: Shalby, Hazem Hesham Yousef, et al.
Published: (2024)

Advancing Air Quality Monitoring: TinyML-Based Real-Time Ozone Prediction with Cost-Effective Edge Devices
by: Ken, Huam Ming, et al.
Published: (2025)

Integration of TinyML and LargeML: A Survey of 6G and Beyond
by: Vu, Thai-Hoc, et al.
Published: (2025)

Enhancing TinyML Security: Study of Adversarial Attack Transferability
by: Shah, Parin, et al.
Published: (2024)

On-device Online Learning and Semantic Management of TinyML Systems
by: Ren, Haoyu, et al.
Published: (2024)

TinyML for Acoustic Anomaly Detection in IoT Sensor Networks
by: Almaini, Amar, et al.
Published: (2026)

Accelerating TinyML Inference on Microcontrollers through Approximate Kernels
by: Armeniakos, Giorgos, et al.
Published: (2024)

Edge Intelligence for Wildlife Conservation: Real-Time Hornbill Call Classification Using TinyML
by: Hing, Kong Ka, et al.
Published: (2025)

A Real‐Time English Knowledge Recommendation Framework Integrating ITL Networks and TinyML
by: Qiyan Cha
Published: (2026)

On TinyML and Cybersecurity: Electric Vehicle Charging Infrastructure Use Case
by: Dehrouyeh, Fatemeh, et al.
Published: (2024)

MicroFlow: An Efficient Rust-Based Inference Engine for TinyML
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)

Optimizing Split Learning Latency in TinyML-Based IoT Systems
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)

TinyML Induced Portable Food Defect Detection for Edge Computing
by: Yanxia Liu
Published: (2025)

Combining Multi-Objective Bayesian Optimization with Reinforcement Learning for TinyML
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)

Once-for-All Channel Mixers (HYPERTINYPW): Generative Compression for TinyML
by: Shaalan, Yassien
Published: (2026)

TGTM: TinyML-based Global Tone Mapping for HDR Sensors
by: Todorov, Peter, et al.
Published: (2024)

HTVM: Efficient Neural Network Deployment On Heterogeneous TinyML Platforms
by: Van Delm, Josse, et al.
Published: (2024)

A TinyML Reinforcement Learning Approach for Energy-Efficient Light Control in Low-Cost Greenhouse Systems
by: Salem, Mohamed Abdallah, et al.
Published: (2025)

TinyML-Based Adaptive Pulse Shaping for Edge Intelligence in IoT/IIoT
by: Ali, Afan
Published: (2025)

What changes after deployment? A survey on On-device Learning in TinyML
by: Pavan, Massimo, et al.
Published: (2026)

EcoPull: Sustainable IoT Image Retrieval Empowered by TinyML Models
by: Thorsager, Mathias, et al.
Published: (2024)

Consolidating TinyML Lifecycle with Large Language Models: Reality, Illusion, or Opportunity?
by: Wu, Guanghan, et al.
Published: (2025)

DTMM: Deploying TinyML Models on Extremely Weak IoT Devices with Pruning
by: Han, Lixiang, et al.
Published: (2024)

On The Dynamic Ensemble Selection for TinyML-based Systems -- a Preliminary Study
by: Puslecki, Tobiasz, et al.
Published: (2025)

Energy-Aware Multi-Exit TinyML for Smart Zero-Energy Devices
by: Jahanbazi, Shahab, et al.
Published: (2026)

TinyML Security: Exploring Vulnerabilities in Resource-Constrained Machine Learning Systems
by: Huckelberry, Jacob, et al.
Published: (2024)

Optimizing LoRa for Edge Computing with TinyML Pipeline for Channel Hopping
by: Grunewald, Marla, et al.
Published: (2024)

Co-Design of CNN Accelerators for TinyML using Approximate Matrix Decomposition
by: Morales, José Juan Hernández, et al.
Published: (2026)

TinyML Based Edge Intelligent English Classroom Quality Assessment Scheme
by: Shuang Jiang
Published: (2025)