Samaneh Madanian

Orcid: 0000-0001-6430-9611

Affiliations:
  • Auckland University of Technology, New Zealand


According to our database1, Samaneh Madanian authored at least 31 papers between 2015 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Machine learning cryptography methods for IoT in healthcare.
BMC Medical Informatics Decis. Mak., December, 2024

Patterns of Applied Control for Public Health Measures on Transportation Services under Epidemic.
Proceedings of the 19th International Symposium on Software Engineering for Adaptive and Self-Managing Systems, 2024

Detecting Brain activity in ADHD children and healthy controls using Machine Learning Techniques.
Proceedings of the 2024 Australasian Computer Science Week, 2024

Emotion Variation Detection in Discrete English Speech: A Wavelet Transform Use Case in Mental Health Monitoring.
Proceedings of the 2024 Australasian Computer Science Week, 2024

2023
Speech emotion recognition using machine learning - A systematic review.
Intell. Syst. Appl., November, 2023

Clinical information system (CIS) implementation in developing countries: requirements, success factors, and recommendations.
J. Am. Medical Informatics Assoc., March, 2023

Mental Health Monitoring: Design Concept of a Smartphone Application.
Proceedings of the MEDINFO 2023 - The Future Is Accessible, 2023

Pandemic Management: Health Data and Public Health Surveillance.
Proceedings of the MEDINFO 2023 - The Future Is Accessible, 2023

A Novel Proof of Concept Forecasting Model for Pandemics - A Case Study in New Zealand.
Proceedings of the Information Technology in Disaster Risk Reduction, 2023

Public Health Emergencies: Health Data and Public Health Surveillance.
Proceedings of the IEEE International Conference on Digital Health, 2023

Enhancing Resource Allocation in IT Projects: The Potentials of Deep Learning-Based Recommendation Systems and Data-Driven Approaches.
Proceedings of the Data Science and Machine Learning, 2023

Motif-based Graph Attention Network for Web Service Recommendation.
Proceedings of the 2023 Australasian Computer Science Week, 2023

Stress Detection on Social Network: Public Mental Health Surveillance: Public mental health surveillance.
Proceedings of the 2023 Australasian Computer Science Week, 2023

Design Concept of a Mental Health Monitoring Application with Explainable Assessments.
Proceedings of the Australasian Conference on Information Systems, 2023

Integration of AI and Big Data Analysis with Public Health Systems for Infectious Disease Outbreak Detection.
Proceedings of the Australasian Conference on Information Systems, 2023

2022
A Robust Deep Learning Ensemble-Driven Model for Defect and Non-Defect Recognition and Classification Using a Weighted Averaging Sequence-Based Meta-Learning Ensembler.
Sensors, 2022

A Hard Voting Policy-Driven Deep Learning Architectural Ensemble Strategy for Industrial Products Defect Recognition and Classification.
Sensors, 2022

Machine learning methods for hospital readmission prediction: systematic analysis of literature.
J. Reliab. Intell. Environ., 2022

Automatic Speech Emotion Recognition Using Machine Learning: Digital Transformation of Mental Health.
Proceedings of the 26th Pacific Asia Conference on Information Systems, 2022

An Intrinsic Human Physical Activity Recognition from Fused Motion Sensor Data using Bidirectional Gated Recurrent Neural Network in Healthcare.
Proceedings of the 19th International Conference on Smart Business Technologies, 2022

2021
Critical Success Factors of Agile ERP Development and Implementation Projects: A Systematic Literature Review.
Proceedings of the 25th Pacific Asia Conference on Information Systems, 2021

Towards Self-Adaptive Disaster Management Systems.
Proceedings of the 18th International Conference on Information Systems for Crisis Response and Management, 2021

2020
Graph-Theoretic Models of Resource Distribution for Cyber-Physical Systems of Disaster-Affected Regions.
Proceedings of the 46th Euromicro Conference on Software Engineering and Advanced Applications, 2020

Prediction of Natural Gas Consumption in Bahçeşehir Using Machine Learning Models.
Proceedings of the Australasian Conference on Information Systems, 2020

2019
IoT, Cloud Computing and Big Data: Integrated Framework for Healthcare in Disasters.
Proceedings of the MEDINFO 2019: Health and Wellbeing e-Networks for All, 2019

Feature Selection: Multi-source and Multi-view Data Limitations, Capabilities and Potentials.
Proceedings of the 29th International Telecommunication Networks and Applications Conference, 2019

Feature Selection Methods for Linked Data: Limitations, Capabilities and Potentials.
Proceedings of the 6th IEEE/ACM International Conference on Big Data Computing, 2019

2018
Social Engineering Attacks and Countermeasures in the New Zealand Banking System: Advancing a User-Reflective Mitigation Model.
Inf., 2018

2016
Disaster EHealth-Sustainability in the Extreme.
Proceedings of the 2016 IEEE 14th Intl Conf on Dependable, 2016

2015
Healthcare in Disasters and the Role of RFID.
Proceedings of the MEDINFO 2015: eHealth-enabled Health, 2015

Disaster E-Health: A New Paradigm for Collaborative Healthcare in Disasters.
Proceedings of the 12th Proceedings of the International Conference on Information Systems for Crisis Response and Management, 2015


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