Zobrazeno 1 - 10
of 31
pro vyhledávání: '"Clifford, Gari D."'
Autor:
Kwon, Hyeokhyen, Hedge, Chaitra, Kiarashi, Yashar, Madala, Venkata Siva Krishna, Singh, Ratan, Nakum, ArjunSinh, Tweedy, Robert, Tonetto, Leandro Miletto, Zimring, Craig M., Clifford, Gari D.
Localization of individuals in a built environment is a growing research topic. Estimating the positions, face orientation (or gaze direction) and trajectories of people through space has many uses, such as in crowd management, security, and healthca
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a3593208ca9dd761cdedeb417caa11f7
Autor:
Kiarashi, Yashar, Hedge, Chaitra, Madala, Venkata Siva Krishna, Nakum, ArjunSinh, Singh, Ratan, Tweedy, Robert, Clifford, Gari D., Kwon, Hyeokhyen
Spatial navigation of indoor space usage patterns reveals important cues about the cognitive health of individuals. In this work, we present a low-cost, scalable, open-source edge computing system using Bluetooth Low Energy (BLE) and Inertial Measure
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::09030131a8b3e743c487008872455d5a
Autor:
Dumitru, Mircea, Li, Qiao, Alday, Erick Andres Perez, Rad, Ali Bahrami, Clifford, Gari D., Sameni, Reza
Objective: Gaussian Processes (GP)-based filters, which have been effectively used for various applications including electrocardiogram (ECG) filtering can be computationally demanding and the choice of their hyperparameters is typically ad hoc. Meth
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7204be295d5a8a04a6c606196118d2fa
Autor:
Niu, Chenglin, Guo, Dagang, Ong, Marcus Eng Hock, Koh, Zhi Xiong, Ho, Andrew Fu Wah, Lin, Zhiping, Liu, Chengyu, Clifford, Gari D., Liu, Nan
Objective: Heart rate variability (HRV) has been proven to be an important indicator of physiological status for numerous applications. Despite the progress and active developments made in HRV metric research over the last few decades, the representa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::66c42d2499101d75e460a0be36f182e2
http://arxiv.org/abs/2111.09649
http://arxiv.org/abs/2111.09649
The increasing complexity of algorithms for analyzing medical data, including de-identification tasks, raises the possibility that complex algorithms are learning not just the general representation of the problem, but specifics of given individuals
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cf4ceacc285a5291c0be3515da31c734
http://arxiv.org/abs/2101.12099
http://arxiv.org/abs/2101.12099
Autor:
Cakmak, Ayse S., Densen, Samuel, Najarro, Gabriel, Rout, Pratik, Rozell, Christopher J., Inan, Omer T., Shah, Amit J., Clifford, Gari D.
Objective: Worldwide, heart failure (HF) is a major cause of morbidity and mortality and one of the leading causes of hospitalization. Early detection of HF symptoms and pro-active management may reduce adverse events. Approach: Twenty-eight particip
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::da4c242ebe36018f730dd2de82ffb435
The expanding usage of complex machine learning methods like deep learning has led to an explosion in human activity recognition, particularly applied to health. In particular, as part of a larger body sensor network system, face and full-body analys
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::56c1c85392fd8456fae2afc251138dc3
Autor:
Sadiq, Ismail, Perez-Alday, Erick A., Shah, Amit J., Rad, Ali Bahrami, Sameni, Reza, Clifford, Gari D.
Objective: To determine if a realistic, but computationally efficient model of the electrocardiogram can be used to pre-train a deep neural network (DNN) with a wide range of morphologies and abnormalities specific to a given condition - T-wave Alter
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fe5cd4f090dc2c0ceff4ee35171ca9d7
Autor:
Reyna, Matthew A., Clifford, Gari D.
Although there has been significant research in boosting of weak learners, there has been little work in the field of boosting from strong learners. This latter paradigm is a form of weighted voting with learned weights. In this work, we consider the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::05016063fc4569de856bafda01924b27
http://arxiv.org/abs/2012.11013
http://arxiv.org/abs/2012.11013
Assessing fetal development is usually carried out by techniques such as ultrasound imaging, which is generally unavailable in rural areas due to the high cost, maintenance, skills and training needed to operate the devices effectively. In this work,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::09d3c41ee81d3a115bc872bf22671e2e
http://arxiv.org/abs/2012.00553
http://arxiv.org/abs/2012.00553