Results 21 to 30 of about 1,287,912 (259)
Machine Learning Techniques for Hypoglycemia Prediction: Trends and Challenges
Sensors, 2021 (1) Background: the use of machine learning techniques for the purpose of anticipating hypoglycemia has increased considerably in the past few years. Hypoglycemia is the drop in blood glucose below critical levels in diabetic patients.
Omer Mujahid, Ivan Contreras, Josep Vehi
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Collecting, Processing and Secondary Using Personal and (Pseudo)Anonymized Data in Smart Cities
Applied Sciences, 2023 Smart cities, leveraging IoT technologies, are revolutionizing the quality of life for citizens. However, the massive data generated in these cities also poses significant privacy risks, particularly in de-anonymization and re-identification. This survey
Silvio Sampaio +5 more
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Face de-identification with expressions preservation [PDF]
2015 IEEE International Conference on Image Processing (ICIP), 2015 This paper addresses an application that has not been much explored, the de-identification of faces with expressions preservation in images. With the huge amount of images and videos shared on the Internet, protecting the identity of people in the data becomes crucial. Removing the identity information is often referred as de-identification.
Letournel, Geoffrey +3 more
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Frontiers in Digital Health, 2022 BackgroundElectronic health record (EHR) systems contain a large volume of texts, including visit notes, discharge summaries, and various reports. To protect the confidentiality of patients, these records often need to be fully de-identified before ...
Tanmoy Paul +20 more
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Possible scenarios of psychological operations against the human resources of the Army of the Islamic Republic of Iran [PDF]
آیندهپژوهی دفاعی, 2021 The Supreme Leader, Ayatollah Khamenei (as), has summarized the plans of global arrogance against the Iranian nation in three sentences: first: psychological warfare, second: economic warfare, and third: countering scientific progress and authority ...
Ali Farhadi +2 more
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Multisite Comparison of MRI Defacing Software Across Multiple Cohorts
Frontiers in Psychiatry, 2021 With improvements to both scan quality and facial recognition software, there is an increased risk of participants being identified by a 3D render of their structural neuroimaging scans, even when all other personal information has been removed.
Athena E. Theyers +24 more
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De-Identification in Learning Analytics
Journal of Learning Analytics, 2016 Learning Analytics has reserved its position as an important field in the educational sector. However, the large-scale collection, processing and analyzing of data have steered the wheel beyond the border lines and faced an abundance of ethical breaches and constraints. Revealing learners’ personal information and attitudes, as well as their activities,
Mohammad Khalil, Martin Ebner
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Privacy-Preserving Human Action Recognition with a Many-Objective Evolutionary Algorithm
Sensors, 2022 Wrist-worn devices equipped with accelerometers constitute a non-intrusive way to achieve active and assisted living (AAL) goals, such as automatic journaling for self-reflection, i.e., lifelogging, as well as to provide other services, such as general ...
Pau Climent-Pérez +1 more
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Integrating Utility into Face De-identification [PDF]
, 2006 With the proliferation of inexpensive video surveillance and face recognition technologies, it is increasingly possible to track and match people as they move through public spaces. To protect the privacy of subjects visible in video sequences, prior research suggests using ad hoc obfuscation methods, such as blurring or pixelation of the face.
Ralph Gross +3 more
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, 2020 Steps to take to check your data for identifiable cases.
Edwards, Ashley +1 more
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