Riya Samanta
Orcid: 0000-0002-8156-7636
According to our database1,
Riya Samanta
authored at least 23 papers
between 2018 and 2025.
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Bibliography
2025
IEEE Consumer Electron. Mag., March, 2025
Enhancing crowdsourcing through skill and willingness-aligned task assignment with workforce composition balance.
Pervasive Mob. Comput., 2025
Eyes on You: TinyML-Powered On-Device Face Tracking for Low-Cost, Low-Power, Secure MCU Environments.
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.
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.
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.
Proceedings of the 17th International Conference on COMmunication Systems and NETworks, 2025
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
LeafSense: A Portable, Low-Cost, Low-Power Plant Disease Diagnostic Device Using TinyML.
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.
Proceedings of the 4th International Conference on AI-ML Systems, 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
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
Proceedings of the Third International Conference on Fog and Mobile Edge Computing, 2018