Abdul Rehman Javed
Biographic Data
| ID | 6312221 |
|---|---|
| NAME | Abdul Rehman Javed |
| GIVEN NAMES | Abdul Rehman |
| FAMILY NAME | Javed |
| SIGNATURE | JAVED A R |
| AFFILIATIONS | Air University |
| ORCID | 0000-0002-0570-1813 |
| VERIFIED | Yes |
| TOTAL WORKS | 7 |
| TOTAL CITATIONS | 2 |
| WORKS AS AUTHOR | 7 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2021 |
| LATEST PUBLICATION YEAR | 2023 |
| H-INDEX | 1 |
Toward explainable AI-empowered cognitive health assessment
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
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
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
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
Automated cognitive health assessment in smart homes using machine learning
A smartphone sensors-based personalized human activity recognition system for sustainable smart cities
Automated cognitive health assessment in smart homes using machine learning
A smartphone sensors-based personalized human activity recognition system for sustainable smart cities
Covid-19 Related Sentiment Analysis Using State-of-the-Art Machine Learning and Deep Learning Techniques
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
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
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
Toward explainable AI-empowered cognitive health assessment
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)