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Abdul Rehman Javed

Biographic Data

ID6312221
NAMEAbdul Rehman Javed
GIVEN NAMESAbdul Rehman
FAMILY NAMEJaved
SIGNATUREJAVED A R
AFFILIATIONSAir University
ORCID0000-0002-0570-1813
VERIFIEDYes
TOTAL WORKS7
TOTAL CITATIONS2
WORKS AS AUTHOR7
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2021
LATEST PUBLICATION YEAR2023
H-INDEX1
  • Toward explainable AI-empowered cognitive health assessment

    Open Access•Abdul Rehman Javed, Habib Ullah Khan et al.•ARTICLE•Frontiers in Public Health•2023

    Explainable artificial intelligence (XAI) is of paramount importance to various domains, including healthcare, fitness, skill assessment, and personal assistants, to understand and explain the decision-making process of the artificial intelligence (AI) model. Smart homes embedded with smart devices and sensors enabled many context-aware applications to recognize physical activities. This study presents XAI-HAR , a novel XAI-empowered human activi…

  • Covid-19 Related Sentiment Analysis Using State-of-the-Art Machine Learning and Deep Learning Techniques

    Open Access•Zunera Jalil, Ahmed Abbasi et al.•ARTICLE•Frontiers in Public Health•2022

    The coronavirus disease 2019 (COVID-19) pandemic has influenced the everyday life of people around the globe. In general and during lockdown phases, people worldwide use social media network to state their viewpoints and general feelings concerning the pandemic that has hampered their daily lives. Twitter is one of the most commonly used social media platforms, and it showed a massive increase in tweets related to coronavirus, including positive,…

  • Classification of Non-Functional Requirements From IoT Oriented Healthcare Requirement Document

    Open Access•Iqra Khurshid, Salma Imtiaz et al.•ARTICLE•Frontiers in Public Health•2022

    Internet of Things (IoT) involves a set of devices that aids in achieving a smart environment. Healthcare systems, which are IoT-oriented, provide monitoring services of patients' data and help take immediate steps in an emergency. Currently, machine learning-based techniques are adopted to ensure security and other non-functional requirements in smart health care systems. However, no attention is given to classifying the non-functional requireme…

  • A Multi-Agent Formalism Based on Contextual Defeasible Logic for Healthcare Systems

    Open Access•Salwa Muhammad Akhtar, Makia Nazir et al.•ARTICLE•Frontiers in Public Health•2022

    In the last decade, smart computing has garnered much attention, particularly in ubiquitous environments, thus increasing the ease of everyday human life. Users can dynamically interact with the systems using different modalities in a smart computing environment. The literature discussed multiple mechanisms to enhance the modalities for communication using different knowledge sources. Among others, Multi-context System (MCS) has been proven quite…

  • Future smart cities

    Open Access•Abdul Rehman Javed, Faisal Shahzad et al.•ARTICLE•Cities•2022•Cited by: 2•References: 199

  • Automated cognitive health assessment in smart homes using machine learning

    Open Access•Abdul Rehman Javed, Labiba Gillani Fahad et al.•ARTICLE•Sustainable Cities and Society•2021

  • A smartphone sensors-based personalized human activity recognition system for sustainable smart cities

    Open Access•Abdul Rehman Javed, Raza Faheem et al.•ARTICLE•Sustainable Cities and Society•2021

  • Future smart cities

    Open Access•Abdul Rehman Javed, Faisal Shahzad et al.•ARTICLE•Cities•2022•Cited by: 2•References: 199

  • Automated cognitive health assessment in smart homes using machine learning

    Open Access•Abdul Rehman Javed, Labiba Gillani Fahad et al.•ARTICLE•Sustainable Cities and Society•2021

  • A smartphone sensors-based personalized human activity recognition system for sustainable smart cities

    Open Access•Abdul Rehman Javed, Raza Faheem et al.•ARTICLE•Sustainable Cities and Society•2021

  • Covid-19 Related Sentiment Analysis Using State-of-the-Art Machine Learning and Deep Learning Techniques

    Open Access•Zunera Jalil, Ahmed Abbasi et al.•ARTICLE•Frontiers in Public Health•2022

    The coronavirus disease 2019 (COVID-19) pandemic has influenced the everyday life of people around the globe. In general and during lockdown phases, people worldwide use social media network to state their viewpoints and general feelings concerning the pandemic that has hampered their daily lives. Twitter is one of the most commonly used social media platforms, and it showed a massive increase in tweets related to coronavirus, including positive,…

  • Classification of Non-Functional Requirements From IoT Oriented Healthcare Requirement Document

    Open Access•Iqra Khurshid, Salma Imtiaz et al.•ARTICLE•Frontiers in Public Health•2022

    Internet of Things (IoT) involves a set of devices that aids in achieving a smart environment. Healthcare systems, which are IoT-oriented, provide monitoring services of patients' data and help take immediate steps in an emergency. Currently, machine learning-based techniques are adopted to ensure security and other non-functional requirements in smart health care systems. However, no attention is given to classifying the non-functional requireme…

  • A Multi-Agent Formalism Based on Contextual Defeasible Logic for Healthcare Systems

    Open Access•Salwa Muhammad Akhtar, Makia Nazir et al.•ARTICLE•Frontiers in Public Health•2022

    In the last decade, smart computing has garnered much attention, particularly in ubiquitous environments, thus increasing the ease of everyday human life. Users can dynamically interact with the systems using different modalities in a smart computing environment. The literature discussed multiple mechanisms to enhance the modalities for communication using different knowledge sources. Among others, Multi-context System (MCS) has been proven quite…

  • Future smart cities

    Open Access•Abdul Rehman Javed, Faisal Shahzad et al.•ARTICLE•Cities•2022•Cited by: 2•References: 199

  • Toward explainable AI-empowered cognitive health assessment

    Open Access•Abdul Rehman Javed, Habib Ullah Khan et al.•ARTICLE•Frontiers in Public Health•2023

    Explainable artificial intelligence (XAI) is of paramount importance to various domains, including healthcare, fitness, skill assessment, and personal assistants, to understand and explain the decision-making process of the artificial intelligence (AI) model. Smart homes embedded with smart devices and sensors enabled many context-aware applications to recognize physical activities. This study presents XAI-HAR , a novel XAI-empowered human activi…

Computer Science (7 works) · Artificial Intelligence (4 works) · IoT and Edge/Fog Computing (4 works) · Machine learning (4 works) · Context-Aware Activity Recognition Systems (3 works) · Medicine (3 works) · Psychology (3 works) · Cognition (2 works) · Human–computer interaction (2 works) · Internet of Things (2 works)

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