Let Me Relax: Toward Automated Sedentary State Recognition and Ubiquitous Mental Wellness Solutions

Autor: Vijay Rajanna, Folami Alamudun, Daniel Goldberg, Tracy Hammond

Publikováno v: EAI Endorsed Transactions on Ambient Systems, Vol 3, Iss 11, Pp 1-6 (2018)

Advances in ubiquitous computing technology improve workplace productivity, reduce physical exertion, but ultimately result in a sedentary work style. Sedentary behavior is associated with an increased risk of stress, obesity, and other health compli

Externí odkaz: https://doaj.org/article/30da55fe37c64ca1b782382d2fa4b940

Secure Collaborative Environment for Seamless Sharing of Scientific Knowledge

Autor: Srikanth Yoginath, Mathieu Doucet, Debsindhu Bhowmik, David Heise, Folami Alamudun, Hong-Jun Yoon, Christopher Stanley

Publikováno v: Driving Scientific and Engineering Discoveries Through the Integration of Experiment, Big Data, and Modeling and Simulation ISBN: 9783030964979

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::84e4f65e9d6f3bfaa7a1f0629f8ea43b
https://doi.org/10.1007/978-3-030-96498-6_8

Smoky Mountain Data Challenge 2020: An Open Call to Solve Data Problems in the Areas of Neutron Science, Material Science, Urban Modeling and Dynamics, Geophysics, and Biomedical Informatics

Autor: Kuldeep Kurte, J. Sanyal, Folami Alamudun, Wenduo Zhou, Anar Yusifov, Melissa R. Allen-Dumas, Suzanne Parete-Koon, Albina Y. Borisevich, Nouamane Laanait, Keith Gray, Anne Berres, Garrett E. Granroth, Srinath Ravulaparthy, Olivera Kotevska, Pravallika Devineni, Ioana Danciu, Max Grossman, Gil Alterovitz, Dasha Herrmannova, Ketan Maheshwari, Junqi Yin, Peter F. Peterson

Publikováno v: Communications in Computer and Information Science ISBN: 9783030633929
SMC

The 2020 Smoky Mountains Computational Sciences and Engineering Conference enlists research scientists from across Oak Ridge National Laboratory (ORNL) to be data sponsors and help create data analytics challenges for eminent data sets at the laborat

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::d289ea1bc7dab2f3d8dacb49bb8c1a62
https://doi.org/10.1007/978-3-030-63393-6_28

Fractal analysis of visual search activity for mass detection during mammographic screening

Autor: Kathleen B. Hudson, Tracy Hammond, Georgia D. Tourassi, Garnetta Morin-Ducote, Hong-Jun Yoon, Folami Alamudun

Publikováno v: Medical Physics. 44:832-846

Purpose The objective of this study was to assess the complexity of human visual search activity during mammographic screening using fractal analysis and to investigate its relationship with case and reader characteristics. Methods The study was perf

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ba794ae7101282d9ac7b3a8ab04a84c2
https://doi.org/10.1002/mp.12100

Selective Information Extraction Strategies for Cancer Pathology Reports with Convolutional Neural Networks

Autor: Jacob Hinkle, Georgia D. Tourassi, John X. Qiu, Hong-Jun Yoon, Folami Alamudun, J. Blair Christian

Publikováno v: Proceedings of the International Neural Networks Society ISBN: 9783030168407
INNSBDDL

To trust model predictions, it is important to ensure new data scored by the model comes from the same population used for model training. If the model is used to score new data different than the model’s training data, then predictions and model p

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::2b6d398fb99a6f0c87aac0b23f872c8e
https://doi.org/10.1007/978-3-030-16841-4_9