Samaneh Madanian

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

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Machine learning cryptography methods for IoT in healthcare.

Tserendorj Chinbat, Samaneh Madanian, David Airehrour, Farkhondeh Hassandoust

BMC Medical Informatics Decis. Mak., December, 2024

Patterns of Applied Control for Public Health Measures on Transportation Services under Epidemic.

Kenneth Johnson, Samaneh Madanian, Catia Trubiani

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.

Priyadarshini Natarajan, Samaneh Madanian

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.

Adebanji Adeleye, Samaneh Madanian, Olayinka Adeleye

Proceedings of the 2024 Australasian Computer Science Week, 2024

2023

Speech emotion recognition using machine learning - A systematic review.

Samaneh Madanian, Talen Chen, Olayinka Adeleye, John Michael Templeton, Christian Poellabauer, Dave Parry, Sandra L. Schneider

Intell. Syst. Appl., November, 2023

Clinical information system (CIS) implementation in developing countries: requirements, success factors, and recommendations.

Soe Ye Yint Tun, Samaneh Madanian

J. Am. Medical Informatics Assoc., March, 2023

Mental Health Monitoring: Design Concept of a Smartphone Application.

Upeka De Silva, Sam Madanian, John Michael Templeton, Christian Poellabauer, Sandra L. Schneider, Dave Parry

Proceedings of the MEDINFO 2023 - The Future Is Accessible, 2023

Pandemic Management: Health Data and Public Health Surveillance.

Mohammad Nazayer, Samaneh Madanian, Hamidreza Rasoulipanah, Dave Parry

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.

Hamidreza Rasouli Panah, Abtin Ijadi Maghsoodi, Samaneh Madanian, Jian Yu, Kenneth Johnson

Proceedings of the Information Technology in Disaster Risk Reduction, 2023

Public Health Emergencies: Health Data and Public Health Surveillance.

Mohammad Nazayer, Samaneh Madanian, Hamidreza Rasoulipanah, Dave Parry

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.

Li Xiao, Samaneh Madanian, Weihua Li, Yuchun Xiao

Proceedings of the Data Science and Machine Learning, 2023

Motif-based Graph Attention Network for Web Service Recommendation.

Yuqi Zhang, Jian Yu, Ji Ruan, Nancy Wang, Sam Madanian, Guiling Wang

Proceedings of the 2023 Australasian Computer Science Week, 2023

Stress Detection on Social Network: Public Mental Health Surveillance: Public mental health surveillance.

Samaneh Madanian, Hamidreza Rasoulipanah, Jian Yu

Proceedings of the 2023 Australasian Computer Science Week, 2023

Design Concept of a Mental Health Monitoring Application with Explainable Assessments.

Upeka De Silva, Samaneh Madanian, John Michael Templeton, Christian Poellabauer, Sandy Schneider, Ajit Narayanan

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.

Hamidreza Rasoulipanah, Samaneh Madanian, Jian Yu

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.

Okeke Stephen, Samaneh Madanian, Minh Nguyen

Sensors, 2022

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

Okeke Stephen, Samaneh Madanian, Minh Nguyen

Sensors, 2022

Machine learning methods for hospital readmission prediction: systematic analysis of literature.

Talen Chen, Samaneh Madanian, David Airehrour, Marianne Cherrington

J. Reliab. Intell. Environ., 2022

Automatic Speech Emotion Recognition Using Machine Learning: Digital Transformation of Mental Health.

Samaneh Madanian, David Parry, Olayinka Adeleye, Christian Poellabauer, Farhaan Mirza, Shilpa Mathew, Sandy Schneider

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.

Okeke Stephen, Samaneh Madanian, Minh Nguyen

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.

Samaneh Madanian, Maduka Subasinghage, Shingai Conrad Tachiona

Proceedings of the 25th Pacific Asia Conference on Information Systems, 2021

Towards Self-Adaptive Disaster Management Systems.

Kenneth Johnson, Javier Cámara, Roopak Sinha, Samaneh Madanian, Dave Parry

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.

Kenneth Johnson, Samaneh Madanian, Roopak Sinha

Proceedings of the 46th Euromicro Conference on Software Engineering and Advanced Applications, 2020

Prediction of Natural Gas Consumption in Bahçeşehir Using Machine Learning Models.

Suhaib Ahmed, Samaneh Madanian, Farhaan Mirza, Selim Zain

Proceedings of the Australasian Conference on Information Systems, 2020

2019

IoT, Cloud Computing and Big Data: Integrated Framework for Healthcare in Disasters.

Samaneh Madanian, Dave Parry

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.

Marianne Cherrington, Joan Lu, David Airehrour, Fadi A. Thabtah, Qiang Xu, Samaneh Madanian

Proceedings of the 29th International Telecommunication Networks and Applications Conference, 2019

Feature Selection Methods for Linked Data: Limitations, Capabilities and Potentials.

Marianne Cherrington, David Airehrour, Joan Lu, Qiang Xu, Stephen J. Wade, Samaneh Madanian

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.

David Airehrour, Nisha Vasudevan Nair, Samaneh Madanian

Inf., 2018

2016

Disaster EHealth-Sustainability in the Extreme.

David Parry, Samaneh Madanian, Tony Norris

Proceedings of the 2016 IEEE 14th Intl Conf on Dependable, 2016

2015

Healthcare in Disasters and the Role of RFID.

Samaneh Madanian, David Parry, Tony Norris

Proceedings of the MEDINFO 2015: eHealth-enabled Health, 2015

Disaster E-Health: A New Paradigm for Collaborative Healthcare in Disasters.

Anthony C. Norris, Santiago Martinez, Leire Labaka, Samaneh Madanian, Jose J. Gonzalez, Dave Parry

Proceedings of the 12th Proceedings of the International Conference on Information Systems for Crisis Response and Management, 2015