A brief survey of machine learning methods and their sensor and IoT applications

US Shanthamallu, A Spanias… - … & Applications (IISA), 2017 - ieeexplore.ieee.org
This paper provides a brief survey of the basic concepts and algorithms used for Machine
Learning and its applications. We begin with a broader definition of machine learning and …

Wireless sensor systems for space and extreme environments: A review

HF Rashvand, A Abedi, JM Alcaraz-Calero… - IEEE Sensors …, 2014 - ieeexplore.ieee.org
Using wireless sensor network (WSN) for building new sensing and actuating applications in
space and extreme environments (SEEs) can fuel a new application paradigm if it can be …

Integrating machine learning in embedded sensor systems for Internet-of-Things applications

J Lee, M Stanley, A Spanias… - … symposium on signal …, 2016 - ieeexplore.ieee.org
Interpreting sensor data in Internet-of-Things applications is a challenging problem
particularly in embedded systems. We consider sensor data analytics where machine …

Development of android based pulse monitoring system

T Reza, SBA Shoilee, SM Akhand… - … on Electrical, Computer …, 2017 - ieeexplore.ieee.org
Nowadays technology plays a major role which covers not only health-care but also in
keeping track, recording and communicating reports. Regular monitoring of health condition …

Pregnancy Women—Smart Care Intelligent Systems: Patient Condition Screening, Visualization and Monitoring with Multimedia Technology

S Usharani, PM Bala, R Rajmohan, TA Kumar… - … Multimedia Systems for …, 2022 - Springer
Highly populated developing countries like India have more rural areas than cities. Most of
the pregnant women are not worried about their health. Pregnant women in rural areas do …

[图书][B] Sensor analysis for the internet of things

M Stanley, J Lee - 2018 - books.google.com
While it may be attractive to view sensors as simple transducers which convert physical
quantities into electrical signals, the truth of the matter is more complex. The engineer …

Mobile cardiac health-care monitoring and notification with real time tachycardia and bradycardia arrhythmia detection

M Golzar, F Fotouhi-Ghazvini, H Rabbani… - Journal of Medical …, 2017 - journals.lww.com
Background: The increasing trend of heart disease has turned the attention of researchers
toward the use of portable connected technologies. The necessity of continuous special care …

Embedding Android signal processing apps in a high school math class—An RET project

MK Banavar, D Rajan, A Strom… - 2014 IEEE Frontiers …, 2014 - ieeexplore.ieee.org
The objective of this project is to develop and design mobile content for introducing
engineering technology to high school students. More specifically, we intend to work on a …

Embedded machine learning for machine condition monitoring

M Grethler, MB Marinov, V Klumpp - International Conference on Future …, 2021 - Springer
With the application of a new generation of information technology in the field of
manufacturing and the deep integration of computer technology and manufacturing …

The empirical mode decomposition-decision tree method to recognize the steady-state visual evoked potentials with wide frequency range

S Sadeghi, A Maleki - Journal of Medical Signals & Sensors, 2018 - journals.lww.com
Background: The empirical mode decomposition (EMD) is a technique to analyze the steady-
state visual evoked potential (SSVEP) which decomposes the signal into its intrinsic mode …