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Journal of Medical Systems
|
August 11, 2012
On the designing of a tamper resistant prescription RFID access control system
Masoumeh Safkhani, Nasour Bagheri, Majid Naderi
International Journal of Medical Informatics
|
May 11, 2013
A note on the security of IS-RFID, an inpatient medication safety
Masoumeh Safkhani, Nasour Bagheri, Majid Naderi
Scientific Reports
|
November 2, 2017
Invariant object recognition is a personalized selection of invariant features in humans, not simply explained by hierarchical feed-forward vision models
Hamid Karimi-Rouzbahani, Nasour Bagheri, Reza Ebrahimpour
Neuroscience
|
January 16, 2017
Average activity, but not variability, is the dominant factor in the representation of object categories in the brain
Hamid Karimi-Rouzbahani, Nasour Bagheri, Reza Ebrahimpour
Neuroscience
|
March 2, 2017
Hard-wired feed-forward visual mechanisms of the brain compensate for affine variations in object recognition
Hamid Karimi-Rouzbahani, Nasour Bagheri, Reza Ebrahimpour
Computational Intelligence and Neuroscience
|
May 20, 2021
A Recurrent Temporal Model for Semantic Levels Categorization Based on Human Visual System
Mohammad Hossein Karimi, Reza Ebrahimpour, Nasour Bagheri
Sensors (Basel, Switzerland)
|
December 19, 2018
IoT Device Security: Challenging "A Lightweight RFID Mutual Authentication Protocol Based on Physical Unclonable Function"
Ygal Bendavid, Nasour Bagheri, Masoumeh Safkhani, et al.
Computer Networks
|
January 13, 2022
IoT in medical & pharmaceutical: Designing lightweight RFID security protocols for ensuring supply chain integrity
Masoumeh Safkhani, Samad Rostampour, Ygal Bendavid, et al.
Sensors (Basel, Switzerland)
|
January 21, 2023
ECG Identification Based on the Gramian Angular Field and Tested with Individuals in Resting and Activity States
Carmen Camara, Pedro Peris-Lopez, Masoumeh Safkhani, et al.
Neuroscience Research
|
January 21, 2023
Deeper neural network models better reflect how humans cope with contrast variation in object recognition
Masoumeh Mokari-Mahallati, Reza Ebrahimpour, Nasour Bagheri, et al.
Page
of 2
Search research articles
Search
Showing results (1-10 of 16) with videos related to
Sort By:
Page
of 2
Journal of Medical Systems
|
August 11, 2012
On the designing of a tamper resistant prescription RFID access control system
Masoumeh Safkhani, Nasour Bagheri, Majid Naderi
International Journal of Medical Informatics
|
May 11, 2013
A note on the security of IS-RFID, an inpatient medication safety
Masoumeh Safkhani, Nasour Bagheri, Majid Naderi
Scientific Reports
|
November 2, 2017
Invariant object recognition is a personalized selection of invariant features in humans, not simply explained by hierarchical feed-forward vision models
Hamid Karimi-Rouzbahani, Nasour Bagheri, Reza Ebrahimpour
Neuroscience
|
January 16, 2017
Average activity, but not variability, is the dominant factor in the representation of object categories in the brain
Hamid Karimi-Rouzbahani, Nasour Bagheri, Reza Ebrahimpour
Neuroscience
|
March 2, 2017
Hard-wired feed-forward visual mechanisms of the brain compensate for affine variations in object recognition
Hamid Karimi-Rouzbahani, Nasour Bagheri, Reza Ebrahimpour
Computational Intelligence and Neuroscience
|
May 20, 2021
A Recurrent Temporal Model for Semantic Levels Categorization Based on Human Visual System
Mohammad Hossein Karimi, Reza Ebrahimpour, Nasour Bagheri
Sensors (Basel, Switzerland)
|
December 19, 2018
IoT Device Security: Challenging "A Lightweight RFID Mutual Authentication Protocol Based on Physical Unclonable Function"
Ygal Bendavid, Nasour Bagheri, Masoumeh Safkhani, et al.
Computer Networks
|
January 13, 2022
IoT in medical & pharmaceutical: Designing lightweight RFID security protocols for ensuring supply chain integrity
Masoumeh Safkhani, Samad Rostampour, Ygal Bendavid, et al.
Sensors (Basel, Switzerland)
|
January 21, 2023
ECG Identification Based on the Gramian Angular Field and Tested with Individuals in Resting and Activity States
Carmen Camara, Pedro Peris-Lopez, Masoumeh Safkhani, et al.
Neuroscience Research
|
January 21, 2023
Deeper neural network models better reflect how humans cope with contrast variation in object recognition
Masoumeh Mokari-Mahallati, Reza Ebrahimpour, Nasour Bagheri, et al.
Page
of 2