Riya Samanta

Orcid: 0000-0002-8156-7636

According to our database1, Riya Samanta authored at least 15 papers between 2018 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Deciphering S100B Allosteric Signaling: The Role of a Peptide Target, TRTK-12, as an Ensemble Modulator.
J. Chem. Inf. Model., 2024

Optimizing TinyML: The Impact of Reduced Data Acquisition Rates for Time Series Classification on Microcontrollers.
CoRR, 2024

CTG-KrEW: Generating Synthetic Structured Contextually Correlated Content by Conditional Tabular GAN with K-Means Clustering and Efficient Word Embedding.
CoRR, 2024

Towards Sustainable Personalized On-Device Human Activity Recognition with TinyML and Cloud-Enabled Auto Deployment.
CoRR, 2024

TinyTNAS: GPU-Free, Time-Bound, Hardware-Aware Neural Architecture Search for TinyML Time Series Classification.
CoRR, 2024

Empowering Volunteer Crowdsourcing Services: A Serverless-assisted, Skill and Willingness Aware Task Assignment Approach for Amicable Volunteer Involvement.
CoRR, 2024

Sustainable Volunteer Engagement: Ensuring Potential Retention and Skill Diversity for Balanced Workforce Composition in Crowdsourcing Paradigm.
CoRR, 2024

2023
Scalable Skill-oriented Task Allocation in Crowdsourcing within a Serverless Ecosystem.
Proceedings of the 24th International Conference on Distributed Computing and Networking, 2023

BandX : An Intelligent IoT-band for Human Activity Recognition based on TinyML.
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.
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.
Proceedings of the Third International Conference on AI-ML Systems, 2023

2022
FogiRecruiter: A fog-enabled selection mechanism of crowdsourcing for disaster management.
Concurr. Comput. Pract. Exp., 2022

Volunteer Selection in Collaborative Crowdsourcing with Adaptive Common Working Time Slots.
Proceedings of the IEEE Global Communications Conference, 2022

2021
SWill-TAC: Skill-oriented Dynamic Task Allocation with Willingness for Complex Job in Crowdsourcing.
Proceedings of the IEEE Global Communications Conference, 2021

2018
Node localization for indoor tracking using artificial neural network.
Proceedings of the Third International Conference on Fog and Mobile Edge Computing, 2018


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