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 …
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 …
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
Interpreting sensor data in Internet-of-Things applications is a challenging problem
particularly in embedded systems. We consider sensor data analytics where machine …
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 …
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
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 …
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 …
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 …
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 …
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 …
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 …
state visual evoked potential (SSVEP) which decomposes the signal into its intrinsic mode …