Results 211 to 220 of about 3,553,896 (268)
Ensemble transfer learning for classifying physical examinations in GP consultation: a multi-model approach to human-object and human-to-human activity recognition. [PDF]
J Am Med Inform AssocWaheed M, Xiong H, Tong K, Lau AYS.
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Quantifying the uncertainty of human activity recognition using a Bayesian machine learning method: a prediction study. [PDF]
Phys Act NutrMamiya H, Fuller D.
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Implementing ensemble of deep learning model with optimization techniques for human activity recognition to assist individuals with disabilities. [PDF]
Sci RepAlqahtani H.
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Towards User-Generalizable Wearable-Sensor-Based Human Activity Recognition: A Multi-Task Contrastive Learning Approach. [PDF]
Sensors (Basel)Guo P, Nakayama M.
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ACM Computing Surveys, 2011
Human activity recognition is an important area of computer vision research. Its applications include surveillance systems, patient monitoring systems, and a variety of systems that involve interactions between persons and electronic devices such as human-computer interfaces.
M S Ryoo, J K Aggarwal
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Human activity recognition is an important area of computer vision research. Its applications include surveillance systems, patient monitoring systems, and a variety of systems that involve interactions between persons and electronic devices such as human-computer interfaces.
M S Ryoo, J K Aggarwal
exaly +2 more sources
Activation of Neurotransplants in Humans
Experimental Neurology, 1999Clinical studies report symptomatic benefit in most fetal neurotransplantation treated Parkinson's disease patients. The underlying mechanism is incompletely explained. We investigated whether neural connections between host and transplanted tissue are established. Two Parkinson's disease patients with clinically excellent outcome after transplantation
S, Blüml +3 more
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Proceedings of the IEEE Conference on Advanced Video and Signal Based Surveillance, 2003., 2004
The paper deals with the problem of classification of human activities from video as one way of performing activity monitoring. Our approach uses motion features that are computed very efficiently and subsequently projected into a lower dimension space where matching is performed.
Osama Masoud, Nikolaos Papanikolopoulos
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The paper deals with the problem of classification of human activities from video as one way of performing activity monitoring. Our approach uses motion features that are computed very efficiently and subsequently projected into a lower dimension space where matching is performed.
Osama Masoud, Nikolaos Papanikolopoulos
openaire +1 more source
FIBRINOLYTIC ACTIVATOR ACTIVITY IN HUMAN NEOPLASMS
Plastic and Reconstructive Surgery, 1978The results of this study suggest that many malignant tumors contain low levels of fibrinolytic activator activity. Evidence is presented to suggest that this low activity may be due to the presence of an inhibitor of fibrinolysis. The presence or absence of measurable fibrinolytic activator activity, and/or inhibitor in neoplastic growths may enable ...
J D, Franklin +3 more
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Cholinephosphotransferase activity in human platelets
Lipids, 1983AbstractDisrupted human platelets possess a cholinephosphotransferase activity (EC 2.7.8.2) whose properties have been studied in this work. The labeling of choline glycerophospholipid (CGP) from radioactive cytidine‐5′‐diphosphate choline (CDP‐choline) in vitro shows a maximum at pH 8.0 (using Hepes [4‐(2‐hydroxyethyl)‐piperazine‐1‐ethane‐2‐sulfonic ...
GORACCI, Gianfrancesco +5 more
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