Bidyut Saha

Orcid: 0000-0002-4147-9738

According to our database¹, Bidyut Saha authored at least 18 papers between 2023 and 2026.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

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Book In proceedings Article PhD thesis Dataset Other

Links

On csauthors.net:

Bibliography

2026

Affordable Precision Agriculture: A Deployment-Oriented Review of Low-Cost, Low-Power Edge AI and TinyML for Resource-Constrained Farming Systems.

[BibT_eX]

[DOI]

Riya Samanta

Bidyut Saha

CoRR, March, 2026

Rethinking Temporal Models for TinyML: LSTM versus 1D-CNN in Resource-Constrained Devices.

[BibT_eX]

[DOI]

Bidyut Saha

Riya Samanta

CoRR, March, 2026

TinyTNAS: Time-Bound, GPU-Independent Hardware-Aware Neural Architecture Search for TinyML Time-Series Classification.

[BibT_eX]

[DOI]

IEEE Embed. Syst. Lett., February, 2026

CrowdLense: A Serverless, Privacy-Preserving Edge AI Framework for Sustainable Crowd-Sourced Real-Time Traffic Monitoring.

[BibT_eX]

[DOI]

Proceedings of the 18th International Conference on COMmunication Systems and NETworks, 2026

2025

Personalized Human Activity Recognition: Real-Time On-Device Training and Inference.

[BibT_eX]

[DOI]

IEEE Consumer Electron. Mag., March, 2025

Eyes on You: TinyML-Powered On-Device Face Tracking for Low-Cost, Low-Power, Secure MCU Environments.

[BibT_eX]

[DOI]

Proceedings of the 17th International Conference on COMmunication Systems and NETworks, 2025

A Low-Power Low-cost System for Disaster Locations Detection using ESP32 CAM and TinyML.

[BibT_eX]

[DOI]

Riya Samanta

Bidyut Saha

Soumya K. Ghosh

Proceedings of the 17th International Conference on COMmunication Systems and NETworks, 2025

GenCPruneX: Adaptive Channel-wise Pruning for Efficient TinyML Deployment with Genetic Multi-Objective Optimization.

[BibT_eX]

[DOI]

Proceedings of the 17th International Conference on COMmunication Systems and NETworks, 2025

Efficiency Redefined: Impact of Reducing Data Acquisition Rate for Optimized TinyML in Resource-Constrained IoT Devices.

[BibT_eX]

[DOI]

Proceedings of the 17th International Conference on COMmunication Systems and NETworks, 2025

2024

Optimizing TinyML: The Impact of Reduced Data Acquisition Rates for Time Series Classification on Microcontrollers.

[BibT_eX]

[DOI]

CoRR, 2024

CTG-KrEW: Generating Synthetic Structured Contextually Correlated Content by Conditional Tabular GAN with K-Means Clustering and Efficient Word Embedding.

[BibT_eX]

[DOI]

CoRR, 2024

Towards Sustainable Personalized On-Device Human Activity Recognition with TinyML and Cloud-Enabled Auto Deployment.

[BibT_eX]

[DOI]

CoRR, 2024

TinyTNAS: GPU-Free, Time-Bound, Hardware-Aware Neural Architecture Search for TinyML Time Series Classification.

[BibT_eX]

[DOI]

CoRR, 2024

LeafSense: A Portable, Low-Cost, Low-Power Plant Disease Diagnostic Device Using TinyML.

[BibT_eX]

[DOI]

Riya Samanta

Bidyut Saha

Soumya Kanti Ghosh

Proceedings of the 4th International Conference on AI-ML Systems, 2024

TinyML-Powered Gesture Wizardry: Low-Cost, Low-Power Two-Stage CNN for Static Hand Gesture Classification on MCU in Appliance Control.

[BibT_eX]

[DOI]

Proceedings of the 4th International Conference on AI-ML Systems, 2024

2023

BandX : An Intelligent IoT-band for Human Activity Recognition based on TinyML.

[BibT_eX]

[DOI]

Proceedings of the 24th International Conference on Distributed Computing and Networking, 2023

From Wrist to World: Harnessing Wearable IMU Sensors and TinyML to Enable Smart Environment Interactions.

[BibT_eX]

[DOI]

Proceedings of the Third International Conference on AI-ML Systems, 2023

TinyML-Driven On-Device Personalized Human Activity Recognition and Auto-Deployment to Smart Bands.

[BibT_eX]

[DOI]

Proceedings of the Third International Conference on AI-ML Systems, 2023

Bidyut Saha

Timeline

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Links

On csauthors.net:

Bibliography

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