Calculation of delivered composite dose from Calypso tracking data for prostate cancer: And subsequent evaluation of reasonable treatment interruption tolerance limits
Sign Up to like & getrecommendations! Published in 2019 at "Journal of Applied Clinical Medical Physics"
DOI: 10.1002/acm2.12684
Abstract: Abstract Purpose In this study we calculate composite dose delivered to the prostate by using the Calypso tracking ‐data‐ stream acquired during patient treatment in our clinic. We evaluate the composite distributions under multiple simulated… read more here.
Keywords: prostate; composite dose; tolerance; tracking data ... See more keywords
Why do Argos satellite tags stop relaying data?
Sign Up to like & getrecommendations! Published in 2021 at "Ecology and Evolution"
DOI: 10.1002/ece3.7558
Abstract: Abstract Satellite tracking of animals is very widespread across a range of marine, freshwater, and terrestrial taxa. Despite the high cost of tags and the advantages of long deployments, the reasons why tracking data from… read more here.
Keywords: satellite; satellite tags; tracking data; tags stop ... See more keywords
Extracting blinks from continuous eye-tracking data in a mind wandering paradigm
Sign Up to like & getrecommendations! Published in 2022 at "Consciousness and Cognition"
DOI: 10.1016/j.concog.2022.103303
Abstract: Mind wandering is a universal phenomenon in which a person's attention decouples from stimuli within their current environment. Researchers have sought objective, less disruptive indicators of cognitive disengagement, resulting in a focus eye tracking and… read more here.
Keywords: tracking data; extracting blinks; eye; mind wandering ... See more keywords
Space-time modeling of intensive binary time series eye-tracking data using a generalized additive logistic regression model.
Sign Up to like & getrecommendations! Published in 2022 at "Psychological methods"
DOI: 10.1037/met0000444
Abstract: Eye-tracking has emerged as a popular method for empirical studies of cognitive processes across multiple substantive research areas. Eye-tracking systems are capable of automatically generating fixation-location data over time at high temporal resolution. Often, the… read more here.
Keywords: time; eye tracking; generalized additive; model ... See more keywords
Personal identifiability of user tracking data during observation of 360-degree VR video
Sign Up to like & getrecommendations! Published in 2020 at "Scientific Reports"
DOI: 10.1038/s41598-020-74486-y
Abstract: Virtual reality (VR) is a technology that is gaining traction in the consumer market. With it comes an unprecedented ability to track body motions. These body motions are diagnostic of personal identity, medical conditions, and… read more here.
Keywords: personal identifiability; identifiability user; tracking data; user tracking ... See more keywords
A data-driven method for realistic covariance prediction of space object with sparse tracking data
Sign Up to like & getrecommendations! Published in 2023 at "Research in Astronomy and Astrophysics"
DOI: 10.1088/1674-4527/acd7be
Abstract: Covariance of the orbital state of a resident space object (RSO) is a necessary requirement for various space situational awareness tasks, like the space collision warning. It describes an accuracy envelope of the RSO’s location.… read more here.
Keywords: space; covariance; space object; data driven ... See more keywords
The natural history of chronic widespread pain in patients with axial spondyloarthritis: a cohort study with clinical and self-tracking data.
Sign Up to like & getrecommendations! Published in 2022 at "Rheumatology"
DOI: 10.1093/rheumatology/keac679
Abstract: OBJECTIVES This study investigates longitudinal patterns, predictors and long-term impact of pain in axial spondyloarthritis (axSpA), using clinical and self-tracking data. METHODS The presence of multisite pain (MSP), affecting at least 6/9 body regions using… read more here.
Keywords: cwp; pain; self tracking; msp ... See more keywords
Resource Allocation for Multitarget Tracking and Data Reduction in Radar Network With Sensor Location Uncertainty
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Transactions on Signal Processing"
DOI: 10.1109/tsp.2021.3101018
Abstract: Traditional networked radar systems for target tracking usually suffer from a heavy data processing burden, and do not consider the sensor location uncertainties (SLUs), by assuming that radar locations are known perfectly, which is applicable… read more here.
Keywords: tracking data; data reduction; radar; sensor location ... See more keywords
Optimizing marine spatial plans with animal tracking data
Sign Up to like & getrecommendations! Published in 2019 at "Canadian Journal of Fisheries and Aquatic Sciences"
DOI: 10.1139/cjfas-2017-0495
Abstract: Marine user–environment conflicts can have consequences for ecosystems that negatively affect humans. Strategies and tools are required to identify, predict, and mitigate the conflicts that arise between marine anthropogenic activities and wildlife. Estimating individual-, population-,… read more here.
Keywords: optimizing marine; marine spatial; tracking data; spatial plans ... See more keywords
Strabismus Recognition Using Eye-Tracking Data and Convolutional Neural Networks
Sign Up to like & getrecommendations! Published in 2018 at "Journal of Healthcare Engineering"
DOI: 10.1155/2018/7692198
Abstract: Strabismus is one of the most common vision diseases that would cause amblyopia and even permanent vision loss. Timely diagnosis is crucial for well treating strabismus. In contrast to manual diagnosis, automatic recognition can significantly… read more here.
Keywords: image; tracking data; convolutional neural; recognition ... See more keywords
Response to ‘Increasing value and reducing waste in data extraction for systematic reviews: tracking data in data extraction forms’
Sign Up to like & getrecommendations! Published in 2018 at "Systematic Reviews"
DOI: 10.1186/s13643-018-0677-x
Abstract: AbstractᅟThis is a response to a Letter. Data abstraction is a time-consuming and error-prone systematic review task. Shokraneh and Adams categorize available techniques for tracking data during data abstraction into three methods: simple annotation, descriptive… read more here.
Keywords: extraction; response; data extraction; tracking data ... See more keywords