Search Results - "Saha, Swapnil Sayan"

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  1. 1

    Machine Learning for Microcontroller-Class Hardware: A Review by Saha, Swapnil Sayan, Sandha, Sandeep Singh, Srivastava, Mani

    Published in IEEE sensors journal (15-11-2022)
    “…The advancements in machine learning (ML) opened a new opportunity to bring intelligence to the low-end Internet-of-Things (IoT) nodes, such as…”
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    Journal Article
  2. 2

    LocoMote: AI-Driven Sensor Tags for Fine-Grained Undersea Localization and Sensing by Saha, Swapnil Sayan, Davis, Caden, Sandha, Sandeep Singh, Park, Junha, Geronimo, Joshua, Garcia, Luis Antonio, Srivastava, Mani B.

    Published in IEEE sensors journal (15-05-2024)
    “…Long-term and fine-grained maritime localization and sensing are challenging due to sporadic connectivity, constrained power budget, limited footprint, and…”
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    Journal Article
  3. 3

    AutoML for On-Sensor Tiny Machine Learning by Chowdhary, Mahesh, Lilienthal, Derek, Saha, Swapnil Sayan, Palle, Krishna Chaitanya

    Published in IEEE sensors letters (01-11-2023)
    “…Sensors with embedded machine learning core (MLC) ena-ble ultra-low-power, low latency, and intelligent inferences at the extreme edge. However, deploying…”
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    Journal Article
  4. 4

    Inertial Navigation on Extremely Resource-Constrained Platforms: Methods, Opportunities and Challenges by Saha, Swapnil Sayan, Du, Yayun, Sandha, Sandeep Singh, Garcia, Luis Antonio, Jawed, Mohammad Khalid, Srivastava, Mani

    “…Inertial navigation provides a small footprint, low-power, and low-cost pathway for localization in GPS-denied environments on extremely resource-constrained…”
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    Conference Proceeding Journal Article
  5. 5

    Feature Extraction, Performance Analysis and System Design Using the DU Mobility Dataset by Saha, Swapnil Sayan, Rahman, Shafizur, Rasna, Miftahul Jannat, Zahid, Tarek Bin, Islam, A.K.M. Mahfuzul, Ahad, Md. Atiqur Rahman

    Published in IEEE access (01-01-2018)
    “…The University of Dhaka mobility data set (DU-MD) is a human action recognition (HAR) data set consisting of 10 classes and 5000 observations from 50 subjects…”
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    Journal Article
  6. 6

    On-Sensor Online Learning and Classification Under 8 KB Memory by Chowdhary, Mahesh, Saha, Swapnil Sayan

    “…Inertial sensors provide a low-power and high-fidelity pathway for state estimation and sensor fusion. Inertial measurement units now feature on-chip…”
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    Conference Proceeding
  7. 7

    Machine Learning for Microcontroller-Class Hardware: A Review by Saha, Swapnil Sayan, Sandha, Sandeep Singh, Srivastava, Mani

    Published 20-12-2022
    “…IEEE Sensors Journal, vol. 22, no. 22, pp. 21362-21390, 15 Nov., 2022 The advancements in machine learning opened a new opportunity to bring intelligence to…”
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    Journal Article
  8. 8

    Neural-Kalman GNSS/INS Navigation for Precision Agriculture by Du, Yayun, Saha, Swapnil Sayan, Sandha, Sandeep Singh, Lovekin, Arthur, Wu, Jason, Siddharth, S., Chowdhary, Mahesh, Jawed, Mohammad Khalid, Srivastava, Mani

    “…Precision agricultural robots require high-resolution navigation solutions. In this paper, we introduce a robust neural-inertial sequence learning approach to…”
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    Conference Proceeding
  9. 9
  10. 10

    Physics-Aware Tiny Machine Learning by Saha, Swapnil Sayan

    Published 01-01-2023
    “…Tiny machine learning has enabled Internet of Things platforms to make intelligent inferences for time-critical and remote applications from unstructured data…”
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    Dissertation
  11. 11

    Robust and Efficient Neural Inertial Localization and Complex Activity Recognition by Saha, Swapnil Sayan

    Published 01-01-2021
    “…Inertial complex activity recognition and neural inertial navigation are challenging due to missing samples, misaligned data timestamps across sensor channels,…”
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    Dissertation
  12. 12

    Enabling Hyperparameter Tuning of Machine Learning Classifiers in Production by Sandha, Sandeep Singh, Aggarwal, Mohit, Saha, Swapnil Sayan, Srivastava, Mani

    “…Machine learning (ML) classifiers are widely adopted in the learning-enabled components of intelligent Cyber-physical Systems (CPS) and tools used in designing…”
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    Conference Proceeding
  13. 13

    Inertial Reflex Model of Nightmare Actigraphy using Double Empirical Margins for the Blinded by Saha, Swapnil Sayan, Chakma, Shoilie, Vyawahare, Suyog

    “…Blind people tend to have more nightmares in their sleep than those with normal sight, depriving them of sound sleep when coupled with innate sleep disorders…”
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    Conference Proceeding
  14. 14
  15. 15

    FoodAlytics: A formalin detection system incorporating a supervised learning approach by Saha, Swapnil Sayan, Siraj, Md. Sadman, Habib, Walid Bin

    “…The rampant use of dangerous levels of formalin in food items has incited anxiety and concern amongst the Bangladeshi citizens. Sporadic monitoring,…”
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    Conference Proceeding
  16. 16

    Ensuring Cybersecure Telemetry and Telecommand in Small Satellites: Recent Trends and Empirical Propositions by Saha, Swapnil Sayan, Rahman, Shafizur, Ahmed, Mosabber Uddin, Aditya, Subrata Kumar

    “…With the advent of a large number of small satellites in the orbit performing critical missions, securing ground/space infrastructure against cyberattacks has…”
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    Magazine Article
  17. 17

    Microcontroller based earthquake detection system for spontaneous cut-off of domestic utility lines for safety measures by Saha, Swapnil Sayan, Mahmudul Islam, Shekh M., Mashsharat, Anindita

    “…Bangladesh is a country with a high frequency of earthquakes. Since the country lies at the junction of three tectonic plates, the intensity of earthquakes…”
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    Conference Proceeding
  18. 18

    Design, control & performance analysis of Muktibot by Zaman, Hasan U., Baized, Chowdhury, Uddin, Rezwan, Ishaque, Hassan, Nazia Nawar, Hasibul Hoq, S. M., Saha, Swapnil Sayan, Akash, Saad A.

    “…This paper introduces a bomb disposal robot named Muktibot that is based on user-friendly smart technology. The Muktibot is controlled via smartphone android…”
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    Conference Proceeding