mlsanityData to 7 Oct 2026

FlowPrecision: Advancing FPGA-Based Real-Time Fluid Flow Estimation with Linear Quantization

arXiv 2403.01922 ↗First posted 4 Mar 2024cs.LG physics.flu-dyncited by 5

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Abstract (arXiv)

In industrial and environmental monitoring, achieving real-time and precise fluid flow measurement remains a critical challenge. This study applies linear quantization in FPGA-based soft sensors for fluid flow estimation, significantly enhancing Neural Network model precision by overcoming the limitations of traditional fixed-point quantization. Our approach achieves up to a 10.10% reduction in Mean Squared Error and a notable 9.39% improvement in inference speed through targeted hardware optimizations. Validated across multiple data sets, our findings demonstrate that the optimized FPGA-based quantized models can provide efficient, accurate real-time inference, offering a viable alternative to cloud-based processing in pervasive autonomous systems.

Key facts. Cited by 5 papers in the map (data through 7 Oct 2026). Builds on 5 of its 12 references that are in the map. First posted on arXiv 4 Mar 2024.

Builds on

5 of 12 references.

References · 5

  1. 2017Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inferencecited by 1,548
  2. 2018Quantizing deep convolutional networks for efficient inference: A whitepapercited by 507
  3. 2019Understanding Straight-Through Estimator in Training Activation Quantized Neural Netscited by 225
  4. 2019Trained Quantization Thresholds for Accurate and Efficient Fixed-Point Inference of Deep Neural Networkscited by 87
  5. 2023On-Device Soft Sensors: Real-Time Fluid Flow Estimation from Level Sensor Datacited by 2

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Cited by year

Citing papers per year: 2024: 3; 2025: 2.

5 papers.

  1. 2024Integer-only Quantized Transformers for Embedded FPGA-based Time-series Forecasting in AIoTcited by 6
  2. 2024Data-driven Modeling of Combined Sewer Systems for Urban Sustainability: An Empirical Evaluationcited by 3
  3. 2024Towards Auto-Building of Embedded FPGA-based Soft Sensors for Wastewater Flow Estimationcited by 1
  4. 2025Evaluating Time Series Models for Urban Wastewater Management: Predictive Performance, Model Complexity and Resiliencecited by 1
  5. 2025Enabling Vibration-Based Gesture Recognition on Everyday Furniture via Energy-Efficient FPGA Implementation of 1D Convolutional Networkscited by 0