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RE•WORK Women in Machine Intelligence & Healthcare Dinner, London, 12th October 2016 #reworkMI
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Infiniteconf 2017 - the conference on Big Data and Fast Data. skillsmatter.com/conferences/7983-infiniteconf-2017-the-c.... Images Copyright www.edtelling.com
USM Business Systems is a reputed top automation company USA. Our major automation offerings are Business Process Automation, Business Management Solutions, Enterprise Content Management, Big Data Analytics. USM is one of the best automation companies in Dallas, Texas, USA.
Visit our Blog: Unsupervised Learning In Action
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RE•WORK Machine Intelligence Summit in New York, 2-3 Nov 2016 #reworkMI
re-work.co/events
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FuGenX Technologies is a global technology services company, offering world-class data analytics services for the world’s leading enterprises. With FuGenX’s big data analysis companies in Noida, Delhi and Hyderabad, India you can get insights into market trends, explore new markets, generate new revenue streams, and unearth hidden and unknown correlations.
Infiniteconf 2017 - the conference on Big Data and Fast Data. skillsmatter.com/conferences/7983-infiniteconf-2017-the-c.... Images Copyright www.edtelling.com
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An armchair and pregnancy monitoring device sits in Kathleen Sienko’s lab. The set-up is used to test research subjects.
Fetal movement is a key indicator of fetal health, but current monitoring methods rely heavily on maternal perception or clinical tools like ultrasound, which can be subjective, intermittent, and inaccessible outside of healthcare settings. To address this gap, researchers have explored wearable sensing technologies to provide continuous, objective, and non-invasive monitoring. One recent study investigated the use of abdominally mounted inertial measurement units (IMUs) to capture fetal movements during pregnancy. By combining accelerometer and gyroscope data and applying machine learning models—including random forests, bi-directional LSTMs, and convolutional neural networks—the researchers demonstrated that sensor fusion substantially improved movement detection accuracy. Among the models tested, CNNs offered the strongest performance with larger datasets, while RF and BiLSTM models showed promising accuracy with smaller data volumes and greater interpretability. This work highlights the potential for wearable sensor systems to provide reliable, real-time monitoring of fetal activity, offering a path toward earlier detection of complications and more accessible prenatal care.
September 4, 2025
Photo by Marcin Szczepanski/Lead Multimedia Storyteller, University of Michigan College of Engineering
Visit our Blog: Natural Language Processing- How different NLP Algorithms work
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Visit our Blog: A Statistical Battle - z-Test vs. t-Test
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