Samaneh Madanian
healthcare in disaster researcher
Facts
13 properties- Instance of
- human
- Occupation
- researcher
- Position held
- associate professor[2]
- Educated at
- Auckland University of Technology[4]
- Doctoral advisor
- David Parry, Tony Norris, Ajit Narayanan[5][6][7]
- Doctoral student
- Okeke Stephen[9]
- Academic degree
- Doctor of Philosophy[10]
- On focus list of Wikimedia project
- NZThesisProject[14]
🏷️ Also known as
en Samaneh Madanian
🔖 Identifiers · 5
- ORCID iD
- 0000-0001-6430-9611
- OpenAlex ID
- A5022972711
- DBLP author ID
- 168/7483
- LinkedIn personal profile ID
- sammdn
- Scopus author ID
- 56971569300
🔗 Connections
Author of 10
A Hard Voting Policy-Driven Deep Learning Architectural Ensemble Strategy for Industrial Products Defect Recognition and Classification,
A multi-dilated convolution network for speech emotion recognition,
Applications of Digital Twins in Power Systems: A Perspective,
Clinical Perspective on Internet of Things Applications for Care of the Elderly,
Comparison of Machine Learning Models for Predicting Interstitial Glucose Using Smart Watch and Food Log,
Enhancing Health Equity by Predicting Missed Appointments in Health Care: Machine Learning Study,
Feature Selection Methods for Linked Data: Limitations, Capabilities and Potentials,
Identifying the Potential of RFID in Disaster Healthcare: An International Delphi Study
+2 more
← Authored by 10
A Hard Voting Policy-Driven Deep Learning Architectural Ensemble Strategy for Industrial Products Defect Recognition and Classification,
A multi-dilated convolution network for speech emotion recognition,
Applications of Digital Twins in Power Systems: A Perspective,
Clinical Perspective on Internet of Things Applications for Care of the Elderly,
Comparison of Machine Learning Models for Predicting Interstitial Glucose Using Smart Watch and Food Log,
Enhancing Health Equity by Predicting Missed Appointments in Health Care: Machine Learning Study,
Feature Selection Methods for Linked Data: Limitations, Capabilities and Potentials,
Identifying the Potential of RFID in Disaster Healthcare: An International Delphi Study
+2 more
Affiliated with 1
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