Samaneh Madanian

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 30

Top Topics

Outbreak Detection

Success Factors

Machine Learning

Top Venues

Publications

Adebanji Adeleye, Samaneh Madanian, Olayinka Adeleye
Emotion Variation Detection in Discrete English Speech: A Wavelet Transform Use Case in Mental Health Monitoring. ACSW (2024)
Tserendorj Chinbat, Samaneh Madanian, David Airehrour, Farkhondeh Hassandoust
Machine learning cryptography methods for IoT in healthcare. BMC Medical Informatics Decis. Mak. 24 (1) (2024)
Kenneth Johnson, Samaneh Madanian, Catia Trubiani
Patterns of Applied Control for Public Health Measures on Transportation Services under Epidemic. SEAMS@ICSE (2024)
Priyadarshini Natarajan, Samaneh Madanian
Detecting Brain activity in ADHD children and healthy controls using Machine Learning Techniques. ACSW (2024)
Upeka De Silva, Samaneh Madanian, John Michael Templeton, Christian Poellabauer, Sandy Schneider, Ajit Narayanan
Design Concept of a Mental Health Monitoring Application with Explainable Assessments. ACIS (2023)
Mohammad Nazayer, Samaneh Madanian, Hamidreza Rasoulipanah, Dave Parry
Pandemic Management: Health Data and Public Health Surveillance. MedInfo (2023)
Samaneh Madanian, Talen Chen, Olayinka Adeleye, John Michael Templeton, Christian Poellabauer, Dave Parry, Sandra L. Schneider
Speech emotion recognition using machine learning - A systematic review. Intell. Syst. Appl. 20 (2023)
Samaneh Madanian, Hamidreza Rasoulipanah, Jian Yu
Stress Detection on Social Network: Public Mental Health Surveillance: Public mental health surveillance. ACSW (2023)
Mohammad Nazayer, Samaneh Madanian, Hamidreza Rasoulipanah, Dave Parry
Public Health Emergencies: Health Data and Public Health Surveillance. ICDH (2023)
Hamidreza Rasouli Panah, Abtin Ijadi Maghsoodi, Samaneh Madanian, Jian Yu, Kenneth Johnson
A Novel Proof of Concept Forecasting Model for Pandemics - A Case Study in New Zealand. ITDRR (2023)
Hamidreza Rasoulipanah, Samaneh Madanian, Jian Yu
Integration of AI and Big Data Analysis with Public Health Systems for Infectious Disease Outbreak Detection. ACIS (2023)
Soe Ye Yint Tun, Samaneh Madanian
Clinical information system (CIS) implementation in developing countries: requirements, success factors, and recommendations. J. Am. Medical Informatics Assoc. 30 (4) (2023)
Li Xiao, Samaneh Madanian, Weihua Li, Yuchun Xiao
Enhancing Resource Allocation in IT Projects: The Potentials of Deep Learning-Based Recommendation Systems and Data-Driven Approaches. AusDM (2023)
Okeke Stephen, Samaneh Madanian, Minh Nguyen
A Hard Voting Policy-Driven Deep Learning Architectural Ensemble Strategy for Industrial Products Defect Recognition and Classification. Sensors 22 (20) (2022)
Okeke Stephen, Samaneh Madanian, Minh Nguyen
An Intrinsic Human Physical Activity Recognition from Fused Motion Sensor Data using Bidirectional Gated Recurrent Neural Network in Healthcare. ICSBT (2022)
Okeke Stephen, Samaneh Madanian, Minh Nguyen
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 22 (24) (2022)
Samaneh Madanian, David Parry, Olayinka Adeleye, Christian Poellabauer, Farhaan Mirza, Shilpa Mathew, Sandy Schneider
Automatic Speech Emotion Recognition Using Machine Learning: Digital Transformation of Mental Health. PACIS (2022)
Talen Chen, Samaneh Madanian, David Airehrour, Marianne Cherrington
Machine learning methods for hospital readmission prediction: systematic analysis of literature. J. Reliab. Intell. Environ. 8 (1) (2022)
Kenneth Johnson, Javier Cámara, Roopak Sinha, Samaneh Madanian, Dave Parry
Towards Self-Adaptive Disaster Management Systems. ISCRAM (2021)
Kenneth Johnson, Samaneh Madanian, Roopak Sinha
Graph-Theoretic Models of Resource Distribution for Cyber-Physical Systems of Disaster-Affected Regions. CoRR (2021)
Samaneh Madanian, Maduka Subasinghage, Shingai Conrad Tachiona
Critical Success Factors of Agile ERP Development and Implementation Projects: A Systematic Literature Review. PACIS (2021)
Suhaib Ahmed, Samaneh Madanian, Farhaan Mirza, Selim Zain
Prediction of Natural Gas Consumption in Bahçeşehir Using Machine Learning Models. ACIS (2020)
Kenneth Johnson, Samaneh Madanian, Roopak Sinha
Graph-Theoretic Models of Resource Distribution for Cyber-Physical Systems of Disaster-Affected Regions. SEAA (2020)
Marianne Cherrington, Joan Lu, David Airehrour, Fadi A. Thabtah, Qiang Xu, Samaneh Madanian
Feature Selection: Multi-source and Multi-view Data Limitations, Capabilities and Potentials. ITNAC (2019)
Marianne Cherrington, David Airehrour, Joan Lu, Qiang Xu, Stephen Wade, Samaneh Madanian
Feature Selection Methods for Linked Data: Limitations, Capabilities and Potentials. BDCAT (2019)
Samaneh Madanian, Dave Parry
IoT, Cloud Computing and Big Data: Integrated Framework for Healthcare in Disasters. MedInfo (2019)
David Airehrour, Nisha Vasudevan Nair, Samaneh Madanian
Social Engineering Attacks and Countermeasures in the New Zealand Banking System: Advancing a User-Reflective Mitigation Model. Inf. 9 (5) (2018)
David Parry, Samaneh Madanian, Tony Norris
Disaster EHealth-Sustainability in the Extreme. DASC/PiCom/DataCom/CyberSciTech (2016)
Samaneh Madanian, David Parry, Tony Norris
Healthcare in Disasters and the Role of RFID. MedInfo (2015)
Anthony C. Norris, Santiago Martinez, Leire Labaka, Samaneh Madanian, Jose J. Gonzalez, Dave Parry
Disaster E-Health: A New Paradigm for Collaborative Healthcare in Disasters. ISCRAM (2015)