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ORCIDFarhaan Mirza
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2020 – today
- 2024
[j19]Widana Kankanamge Darsha Jayamini, Farhaan Mirza, M. Asif Naeem, Amy Hai Yan Chan:
Investigating Machine Learning Techniques for Predicting Risk of Asthma Exacerbations: A Systematic Review. J. Medical Syst. 48(1): 49 (2024)- [j18]Musa Dildar Ahmed Cheema, Mohammad Daniyal Shaiq, Farhaan Mirza, Ali Kamal, M. Asif Naeem:
Adapting multilingual vision language transformers for low-resource Urdu optical character recognition (OCR). PeerJ Comput. Sci. 10: e1964 (2024) - 2023
- [c36]Rashi Bhalla, Farhaan Mirza, M. Asif Naeem, Amy Hai Yan Chan:
Predicting Peak Demand Days for Asthma-Related Emergency Hospitalisations: A Machine Learning Approach. PKAW 2023: 1-14 - [i2]Nawal Chanane, Farhaan Mirza, M. Asif Naeem:
Co-Designing a Medication Notification Application with Multi-Channel Reminders. CoRR abs/2310.13703 (2023) - 2022
- [j17]Rashi Bhalla, Russel Pears, M. Asif Naeem, Farhaan Mirza:
Novel method for optimizing performance in resource constrained distributed data streams. Appl. Intell. 52(11): 12924-12942 (2022) - [j16]Muhammad Usama, M. Asif Naeem
, Farhaan Mirza:
Multi-Class Skin Lesions Classification Using Deep Features. Sensors 22(21): 8311 (2022) - [j15]M. Asif Naeem, Wasiullah Waqar, Farhaan Mirza, Ali Tahir:
TinyLFU-based semi-stream cache join for near-real-time data warehousing. Soft Comput. 26(20): 11091-11103 (2022) - [c35]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: 45 - 2021
- [j14]Shaolong Wang, Farhaan Mirza, Mirza Mansoor Baig:
A predictive model for identifying health trends among Māori and Pacific people - analysis from ten years of New Zealand Public Hospital discharges. Int. J. Medical Eng. Informatics 13(3): 190-199 (2021) - [j13]Herman Masindano Wandabwa, M. Asif Naeem, Farhaan Mirza, Russel Pears:
Topical affinity in short text microblogs. Inf. Syst. 96: 101662 (2021) - [j12]Herman Masindano Wandabwa, M. Asif Naeem, Farhaan Mirza, Russel Pears:
Multi-interest semantic changes over time in short-text microblogs. Knowl. Based Syst. 228: 107249 (2021) - [c34]Joshua Dales, Farhaan Mirza, Amr Adel:
Sentiment Analysis on USA vs. New Zealand on Health and Safety Mandates During Early Stages of COVID-19 Pandemic. pHealth 2021: 67-75 - 2020
- [j11]M. Asif Naeem, Farhaan Mirza, Habib Ullah Khan, David Sundaram, Noreen Jamil, Gerald Weber:
Big Data Velocity Management-From Stream to Warehouse via High Performance Memory Optimized Index Join. IEEE Access 8: 195370-195384 (2020) - [j10]William Liu, Farhaan Mirza, Ajit Narayanan, Seng Souligna:
Is it possible to cure Internet addiction with the Internet? AI Soc. 35(1): 245-255 (2020) - [j9]Ayesha Kamran Ul haq, Amira Khattak, Noreen Jamil, M. Asif Naeem, Farhaan Mirza:
Data Analytics in Mental Healthcare. Sci. Program. 2020: 2024160:1-2024160:9 (2020) - [j8]Bahman A. Sassani Sarrafpour, Mohammed Alkorbi, Noreen Jamil, M. Asif Naeem, Farhaan Mirza:
Evaluating Encryption Algorithms for Sensitive Data Using Different Storage Devices. Sci. Program. 2020: 6132312:1-6132312:9 (2020) - [c33]Suhaib Ahmed, Samaneh Madanian, Farhaan Mirza, Selim Zain:
Prediction of Natural Gas Consumption in Bahçeşehir Using Machine Learning Models. ACIS 2020: 12 - [c32]Nawal Chanane, Farhaan Mirza, Muhammad Asif Naeem:
Co-Designing a Medication Notification Application with Multi-Channel Reminders. ACIS 2020: 29 - [c31]Oluwaseun Famurewa, Arzoo Atiq, Farhaan Mirza:
Review of Tools for Early Detection and Screening of Diabetes. ACIS 2020: 83 - [c30]Herman Masindano Wandabwa, M. Asif Naeem, Farhaan Mirza, Russel Pears, Andy Nguyen:
Multi-interest User Profiling in Short Text Microblogs. DESRIST 2020: 154-168 - [c29]Herman Masindano Wandabwa, Muhammad Asif Naeem, Farhaan Mirza, Russel Pears:
Follow-back Recommendations for Sports Bettors: A Twitter-based Approach. HICSS 2020: 1-10
2010 – 2019
- 2019
- [j7]Mirza Mansoor Baig, Hamid Gholamhosseini, Aasia A. Moqeem, Farhaan Mirza, Maria Lindén:
Clinical decision support systems in hospital care using ubiquitous devices: Current issues and challenges. Health Informatics J. 25(3) (2019) - [j6]Mirza Mansoor Baig, Shereen Afifi, Hamid Gholamhosseini, Farhaan Mirza:
A Systematic Review of Wearable Sensors and IoT-Based Monitoring Applications for Older Adults - a Focus on Ageing Population and Independent Living. J. Medical Syst. 43(8): 233:1-233:11 (2019) - [j5]Adi Darliansyah, M. Asif Naeem, Farhaan Mirza, Russel Pears:
SENTIPEDE: A Smart System for Sentiment-based Personality Detection from Short Texts. J. Univers. Comput. Sci. 25(10): 1323-1352 (2019) - [c28]Arzoo Atiq, Siddhartha Saha, Farhaan Mirza:
Conceptual Model for the Use of Smart Glasses in Ubiquitous Teaching (u-teaching). ACIS 2019: 63 - [c27]Nawal Chanane, Farhaan Mirza, M. Asif Naeem:
Insights of Medication Adherence Management: A Qualitative Study with Healthcare Professionals and Technology Designers. ACIS 2019: 74 - [c26]Herman Masindano Wandabwa, M. Asif Naeem, Farhaan Mirza, Russel Pears:
Topical Expressivity in Short Texts. CONF-IRM 2019: 19 - [c25]Mirza Mansoor Baig, Hamid Gholamhosseini, Shereen Afifi, Farhaan Mirza:
Current Challenges and Barriers to the Wider Adoption of Wearable Sensor Applications and Internet-of-Things in Health and Well-being. CONF-IRM 2019: 20 - [c24]Xiaona Jia, Farhaan Mirza, Mirza Mansoor Baig, Hamid Gholamhosseini:
A Cox-based Model for Predicting the Risk of Cardiovascular Disease. CONF-IRM 2019: 23 - [c23]Mirza Mansoor Baig, Ning Hua, Edmond Zhang, Reece Robinson, Delwyn Armstrong, Robyn Whittaker, Tom Robinson, Farhaan Mirza, Ehsan Ullah:
Machine Learning-based Risk of Hospital Readmissions: Predicting Acute Readmissions within 30 Days of Discharge. EMBC 2019: 2178-2181 - [c22]Hamid Gholamhosseini, Mirza Mansoor Baig, Joseph Maratas, Farhaan Mirza, Maria Lindén:
Obesity Risk Assessment Model Using Wearable Technology with Personalized Activity, Calorie Expenditure and Health Profile. pHealth 2019: 91-96 - [i1]Bushra Ramzan, Imran Sarwar Bajwa, Noreen Jamil, Farhaan Mirza:
An Intelligent Data Analysis for Hotel Recommendation Systems using Machine Learning. CoRR abs/1910.06669 (2019) - 2018
- [j4]Herman Masindano Wandabwa, Muhammad Asif Naeem, Russel Pears, Farhaan Mirza:
A Metamodel Enabled Approach for Discovery of Coherent Topics in Short Text Microblogs. IEEE Access 6: 65582-65593 (2018) - [j3]Noreen Jamil, Farhaan Mirza, M. Asif Naeem, Nilufar Baghaei:
A refinement of an iterative orthogonal projection method. J. Comput. Appl. Math. 341: 31-41 (2018) - [c21]Mirza Mansoor Baig, Farhaan Mirza, Hamid Gholamhosseini, Jairo A. Gutiérrez, Ehsan Ullah:
Clinical Decision Support for Early Detection of Prediabetes and Type 2 Diabetes Mellitus Using Wearable Technology. EMBC 2018: 4456-4459 - [c20]Hiten Karamchandani, M. Asif Naeem, Farhaan Mirza, Mirza Mansoor Baig:
Improving Post-Hospital Discharge Management by Implementing the Discharge Summary on a Mobile Application. ICMU 2018: 1-2 - [c19]Hoa Hong Nguyen, Feng Zhou, Farhaan Mirza, M. Asif Naeem:
Fall Detection Using Smartphones to Enhance Safety and Security of Older Adults at Home. ICMU 2018: 1-2 - [c18]Shraddha Nayak, Md. Akbar Hossain, Farhaan Mirza, M. Asif Naeem, Noreen Jamil:
E-BRACE: A Secure Electronic Health Record Access Method in Medical Emergency. INTAP 2018: 16-27 - [c17]Adi Darliansyah, Herman Masindano Wandabwa, M. Asif Naeem, Farhaan Mirza, Russel Pears:
Long-Term Trends in Public Sentiment in Indian Demonetisation Policy. INTAP 2018: 65-75 - [c16]Aasia A. Moqeem, Mirza Mansoor Baig, Hamid Gholamhosseini, Farhaan Mirza, Maria Lindén:
Medical Device Integrated Vital Signs Monitoring Application with Real-Time Clinical Decision Support. pHealth 2018: 189-193 - 2017
- [j2]Mirza Mansoor Baig, Hamid Gholamhosseini, Aasia A. Moqeem, Farhaan Mirza, Maria Lindén:
A Systematic Review of Wearable Patient Monitoring Systems - Current Challenges and Opportunities for Clinical Adoption. J. Medical Syst. 41(7): 115:1-115:9 (2017) - [c15]Sheetal Datt, Mali Senapathi, Farhaan Mirza:
IO Vision - an integrated system to support the visually impaired. ACIS 2017: 18 - [c14]Hoa Hong Nguyen, Farhaan Mirza, M. Asif Naeem, Minh Nguyen:
A review on IoT healthcare monitoring applications and a vision for transforming sensor data into real-time clinical feedback. CSCWD 2017: 257-262 - [c13]Ali Haider Hussein Ghazala, M. Asif Naeem, Farhaan Mirza, Noreen Jamil:
Uncovering useful patterns in shopping cart data. CSCWD 2017: 349-354 - [c12]Herman Masindano Wandabwa, Muhammad Asif Naeem, Farhaan Mirza:
Document level semantic comprehension of noisy text streams via convolutional neural networks. CSCWD 2017: 475-479 - [c11]Jing Ma, Hoa Hong Nguyen, Farhaan Mirza, Oliver Neuland:
Two Way Architecture between IoT Sensors and Cloud Computing for Remote Health Care Monitoring Applications. ECIS 2017 - [c10]Nawal Chanane, Farhaan Mirza, M. Asif Naeem, Asfahaan Mirza:
Acceptance of Technology-Driven Interventions for Improving Medication Adherence. FNSS 2017: 188-198 - [c9]Akbar Hossain, Farhaan Mirza, M. Asif Naeem, Jairo A. Gutiérrez:
A crowd sourced framework for neighbour assisted medical emergency system. ITNAC 2017: 1-6 - [c8]Hoa Hong Nguyen, Farhaan Mirza, M. Asif Naeem, Mirza Mansoor Baig:
Detecting Falls Using a Wearable Accelerometer Motion Sensor. MobiQuitous 2017: 422-431 - [c7]Herman Masindano Wandabwa, M. Asif Naeem, Farhaan Mirza:
Aspect of Blame in Tweets: A Deep Recurrent Neural Network Approach. WWW (Companion Volume) 2017: 1423-1424 - 2016
- [c6]Farhaan Mirza, Asfahaan Mirza, Claris Yee Seung Chung, David Sundaram:
Sustainable, Holistic, Adaptable, Real-Time, and Precise (SHARP) Approach Towards Developing Health and Wellness Systems. FNSS 2016: 157-171 - 2013
- [c5]Farhaan Mirza, Fernando Beltrán:
Modeling the access market of the two-sided ultra fast broadband platform in New Zealand. SpringSim (CNS) 2013: 2 - [c4]Farhaan Mirza, Fernando Beltrán:
Using an agent-based friend circle creator model to analyze drivers of consumer choice: network effects vs. value proposition. SpringSim (CNS) 2013: 6 - 2011
- [c3]Farhaan Mirza, Fernando Beltrán:
Technology Standardization Battles: An Agent Based Analysis. PACIS 2011: 134
2000 – 2009
- 2008
- [j1]Farhaan Mirza, Tony Norris, Rosemary Stockdale:
Mobile technologies and the holistic management of chronic diseases. Health Informatics J. 14(4): 309-321 (2008) - [c2]Rosemary Stockdale, Tony Norris, Farhaan Mirza:
Mobile Health and Chronic Disease Management: Moving Towards a Holistic Approach. ACIS 2008 - 2007
- [c1]Farhaan Mirza, Tony Norris:
Opportunities and Barriers for Mobile Health in New Zealand. MedInfo 2007: 102-106
Coauthor Index
aka: Muhammad Asif Naeem
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last updated on 2024-07-15 21:00 CEST by the dblp team
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