Get our free extension to see links to code for papers anywhere online!

Chrome logo Add to Chrome

Firefox logo Add to Firefox
Picture for Ala Al-Fuqaha

Ala Al-Fuqaha

NLP Techniques for Water Quality Analysis in Social Media Content


Nov 30, 2021
Muhammad Asif Ayub, Khubaib Ahmad, Kashif Ahmad, Nasir Ahmad, Ala Al-Fuqaha

Figure 1 for NLP Techniques for Water Quality Analysis in Social Media Content
Figure 2 for NLP Techniques for Water Quality Analysis in Social Media Content
Figure 3 for NLP Techniques for Water Quality Analysis in Social Media Content
* 3 pages, 2 tables, 1 figure 
  Access Paper or Ask Questions

Deep Models for Visual Sentiment Analysis of Disaster-related Multimedia Content


Nov 30, 2021
Khubaib Ahmad, Muhammad Asif Ayub, Kashif Ahmad, Ala Al-Fuqaha, Nasir Ahmad

Figure 1 for Deep Models for Visual Sentiment Analysis of Disaster-related Multimedia Content
Figure 2 for Deep Models for Visual Sentiment Analysis of Disaster-related Multimedia Content
* 3 pages 
  Access Paper or Ask Questions

Visual Sentiment Analysis: A Natural DisasterUse-case Task at MediaEval 2021


Nov 22, 2021
Syed Zohaib Hassan, Kashif Ahmad, Michael A. Riegler, Steven Hicks, Nicola Conci, Paal Halvorsen, Ala Al-Fuqaha

* 3 pages 
  Access Paper or Ask Questions

Adversarial Attacks and Defenses for Social Network Text Processing Applications: Techniques, Challenges and Future Research Directions


Oct 26, 2021
Izzat Alsmadi, Kashif Ahmad, Mahmoud Nazzal, Firoj Alam, Ala Al-Fuqaha, Abdallah Khreishah, Abdulelah Algosaibi

Figure 1 for Adversarial Attacks and Defenses for Social Network Text Processing Applications: Techniques, Challenges and Future Research Directions
Figure 2 for Adversarial Attacks and Defenses for Social Network Text Processing Applications: Techniques, Challenges and Future Research Directions
Figure 3 for Adversarial Attacks and Defenses for Social Network Text Processing Applications: Techniques, Challenges and Future Research Directions
Figure 4 for Adversarial Attacks and Defenses for Social Network Text Processing Applications: Techniques, Challenges and Future Research Directions
* 21 pages, 6 figures, 10 tables 
  Access Paper or Ask Questions

Explainable Event Recognition


Oct 10, 2021
Imran Khan, Kashif Ahmad, Namra Gul, Talhat Khan, Nasir Ahmad, Ala Al-Fuqaha

Figure 1 for Explainable Event Recognition
Figure 2 for Explainable Event Recognition
Figure 3 for Explainable Event Recognition
Figure 4 for Explainable Event Recognition
* 16 pages, 10 figures, 6 tables 
  Access Paper or Ask Questions

Client Selection Approach in Support of Clustered Federated Learning over Wireless Edge Networks


Aug 16, 2021
Abdullatif Albaseer, Mohamed Abdallah, Ala Al-Fuqaha, Aiman Erbad

Figure 1 for Client Selection Approach in Support of Clustered Federated Learning over Wireless Edge Networks
Figure 2 for Client Selection Approach in Support of Clustered Federated Learning over Wireless Edge Networks
Figure 3 for Client Selection Approach in Support of Clustered Federated Learning over Wireless Edge Networks
* 4 figures, 7 pages 
  Access Paper or Ask Questions

Fine-Grained Data Selection for Improved Energy Efficiency of Federated Edge Learning


Jun 20, 2021
Abdullatif Albaseer, Mohamed Abdallah, Ala Al-Fuqaha, Aiman Erbad

Figure 1 for Fine-Grained Data Selection for Improved Energy Efficiency of Federated Edge Learning
Figure 2 for Fine-Grained Data Selection for Improved Energy Efficiency of Federated Edge Learning
Figure 3 for Fine-Grained Data Selection for Improved Energy Efficiency of Federated Edge Learning
Figure 4 for Fine-Grained Data Selection for Improved Energy Efficiency of Federated Edge Learning

  Access Paper or Ask Questions

Deep Reinforcement Learning for Radio Resource Allocation and Management in Next Generation Heterogeneous Wireless Networks: A Survey


May 25, 2021
Abdulmalik Alwarafy, Mohamed Abdallah, Bekir Sait Ciftler, Ala Al-Fuqaha, Mounir Hamdi


  Access Paper or Ask Questions

The Duo of Artificial Intelligence and Big Data for Industry 4.0: Review of Applications, Techniques, Challenges, and Future Research Directions


Apr 07, 2021
Senthil Kumar Jagatheesaperumal, Mohamed Rahouti, Kashif Ahmad, Ala Al-Fuqaha, Mohsen Guizani

Figure 1 for The Duo of Artificial Intelligence and Big Data for Industry 4.0: Review of Applications, Techniques, Challenges, and Future Research Directions
Figure 2 for The Duo of Artificial Intelligence and Big Data for Industry 4.0: Review of Applications, Techniques, Challenges, and Future Research Directions
Figure 3 for The Duo of Artificial Intelligence and Big Data for Industry 4.0: Review of Applications, Techniques, Challenges, and Future Research Directions
Figure 4 for The Duo of Artificial Intelligence and Big Data for Industry 4.0: Review of Applications, Techniques, Challenges, and Future Research Directions
* 33 pages, 10 figures, 7 tables 
  Access Paper or Ask Questions

Intelligent Building Control Systems for Thermal Comfort and Energy-Efficiency: A Systematic Review of Artificial Intelligence-Assisted Techniques


Apr 06, 2021
Ghezlane Halhoul Merabet, Mohamed Essaaidi, Mohamed Ben Haddou, Basheer Qolomany, Junaid Qadir, Muhammad Anan, Ala Al-Fuqaha, Mohamed Riduan Abid, Driss Benhaddou

Figure 1 for Intelligent Building Control Systems for Thermal Comfort and Energy-Efficiency: A Systematic Review of Artificial Intelligence-Assisted Techniques
Figure 2 for Intelligent Building Control Systems for Thermal Comfort and Energy-Efficiency: A Systematic Review of Artificial Intelligence-Assisted Techniques
Figure 3 for Intelligent Building Control Systems for Thermal Comfort and Energy-Efficiency: A Systematic Review of Artificial Intelligence-Assisted Techniques
Figure 4 for Intelligent Building Control Systems for Thermal Comfort and Energy-Efficiency: A Systematic Review of Artificial Intelligence-Assisted Techniques
* arXiv admin note: text overlap with arXiv:2006.12559 
  Access Paper or Ask Questions

Threshold-Based Data Exclusion Approach for Energy-Efficient Federated Edge Learning


Mar 30, 2021
Abdullatif Albaseer, Mohamed Abdallah, Ala Al-Fuqaha, Aiman Erbad

Figure 1 for Threshold-Based Data Exclusion Approach for Energy-Efficient Federated Edge Learning
Figure 2 for Threshold-Based Data Exclusion Approach for Energy-Efficient Federated Edge Learning
Figure 3 for Threshold-Based Data Exclusion Approach for Energy-Efficient Federated Edge Learning
Figure 4 for Threshold-Based Data Exclusion Approach for Energy-Efficient Federated Edge Learning
* accepted to IEEE ICC 2021 WS 
  Access Paper or Ask Questions

Sentiment Analysis of Users' Reviews on COVID-19 Contact Tracing Apps with a Benchmark Dataset


Mar 01, 2021
Kashif Ahmad, Firoj Alam, Junaid Qadir, Basheer Qolomany, Imran Khan, Talhat Khan, Muhammad Suleman, Naina Said, Syed Zohaib Hassan, Asma Gul, Ala Al-Fuqaha

Figure 1 for Sentiment Analysis of Users' Reviews on COVID-19 Contact Tracing Apps with a Benchmark Dataset
Figure 2 for Sentiment Analysis of Users' Reviews on COVID-19 Contact Tracing Apps with a Benchmark Dataset
Figure 3 for Sentiment Analysis of Users' Reviews on COVID-19 Contact Tracing Apps with a Benchmark Dataset
Figure 4 for Sentiment Analysis of Users' Reviews on COVID-19 Contact Tracing Apps with a Benchmark Dataset
* 11 pages, 6 figures 
  Access Paper or Ask Questions

Collaborative Federated Learning For Healthcare: Multi-Modal COVID-19 Diagnosis at the Edge


Jan 19, 2021
Adnan Qayyum, Kashif Ahmad, Muhammad Ahtazaz Ahsan, Ala Al-Fuqaha, Junaid Qadir

Figure 1 for Collaborative Federated Learning For Healthcare: Multi-Modal COVID-19 Diagnosis at the Edge
Figure 2 for Collaborative Federated Learning For Healthcare: Multi-Modal COVID-19 Diagnosis at the Edge
Figure 3 for Collaborative Federated Learning For Healthcare: Multi-Modal COVID-19 Diagnosis at the Edge
Figure 4 for Collaborative Federated Learning For Healthcare: Multi-Modal COVID-19 Diagnosis at the Edge
* preprint version 
  Access Paper or Ask Questions

Developing Future Human-Centered Smart Cities: Critical Analysis of Smart City Security, Interpretability, and Ethical Challenges


Dec 14, 2020
Kashif Ahmad, Majdi Maabreh, Mohamed Ghaly, Khalil Khan, Junaid Qadir, Ala Al-Fuqaha

Figure 1 for Developing Future Human-Centered Smart Cities: Critical Analysis of Smart City Security, Interpretability, and Ethical Challenges
Figure 2 for Developing Future Human-Centered Smart Cities: Critical Analysis of Smart City Security, Interpretability, and Ethical Challenges
Figure 3 for Developing Future Human-Centered Smart Cities: Critical Analysis of Smart City Security, Interpretability, and Ethical Challenges
Figure 4 for Developing Future Human-Centered Smart Cities: Critical Analysis of Smart City Security, Interpretability, and Ethical Challenges
* 33 pages, 13 figures, 8 tables 
  Access Paper or Ask Questions

Fake News Detection in Social Media using Graph Neural Networks and NLP Techniques: A COVID-19 Use-case


Nov 30, 2020
Abdullah Hamid, Nasrullah Shiekh, Naina Said, Kashif Ahmad, Asma Gul, Laiq Hassan, Ala Al-Fuqaha

Figure 1 for Fake News Detection in Social Media using Graph Neural Networks and NLP Techniques: A COVID-19 Use-case
Figure 2 for Fake News Detection in Social Media using Graph Neural Networks and NLP Techniques: A COVID-19 Use-case
* 3 pages 
  Access Paper or Ask Questions

Floods Detection in Twitter Text and Images


Nov 30, 2020
Naina Said, Kashif Ahmad, Asma Gul, Nasir Ahmad, Ala Al-Fuqaha

Figure 1 for Floods Detection in Twitter Text and Images
* 3 pages 
  Access Paper or Ask Questions

Budgeted Online Selection of Candidate IoT Clients to Participate in Federated Learning


Nov 16, 2020
Ihab Mohammed, Shadha Tabatabai, Ala Al-Fuqaha, Faissal El Bouanani, Junaid Qadir, Basheer Qolomany, Mohsen Guizani

Figure 1 for Budgeted Online Selection of Candidate IoT Clients to Participate in Federated Learning
Figure 2 for Budgeted Online Selection of Candidate IoT Clients to Participate in Federated Learning
Figure 3 for Budgeted Online Selection of Candidate IoT Clients to Participate in Federated Learning
Figure 4 for Budgeted Online Selection of Candidate IoT Clients to Participate in Federated Learning

  Access Paper or Ask Questions

Particle Swarm Optimized Federated Learning For Industrial IoT and Smart City Services


Sep 05, 2020
Basheer Qolomany, Kashif Ahmad, Ala Al-Fuqaha, Junaid Qadir

Figure 1 for Particle Swarm Optimized Federated Learning For Industrial IoT and Smart City Services
Figure 2 for Particle Swarm Optimized Federated Learning For Industrial IoT and Smart City Services
Figure 3 for Particle Swarm Optimized Federated Learning For Industrial IoT and Smart City Services

  Access Paper or Ask Questions

Visual Sentiment Analysis from Disaster Images in Social Media


Sep 04, 2020
Syed Zohaib Hassan, Kashif Ahmad, Steven Hicks, Paal Halvorsen, Ala Al-Fuqaha, Nicola Conci, Michael Riegler

Figure 1 for Visual Sentiment Analysis from Disaster Images in Social Media
Figure 2 for Visual Sentiment Analysis from Disaster Images in Social Media
Figure 3 for Visual Sentiment Analysis from Disaster Images in Social Media
Figure 4 for Visual Sentiment Analysis from Disaster Images in Social Media
* 10 pages, 6 figures, 6 tables. arXiv admin note: substantial text overlap with arXiv:2002.03773 
  Access Paper or Ask Questions

Trust-Based Cloud Machine Learning Model Selection For Industrial IoT and Smart City Services


Aug 11, 2020
Basheer Qolomany, Ihab Mohammed, Ala Al-Fuqaha, Mohsen Guizan, Junaid Qadir


  Access Paper or Ask Questions

Artificial Intelligence-Assisted Energy and Thermal Comfort Control for Sustainable Buildings: An Extended Representation of the Systematic Review


Jun 22, 2020
Ghezlane Halhoul Merabet, Mohamed Essaaidi, Mohamed Ben-Haddou, Basheer Qolomany, Junaid Qadir, Muhammad Anan, Ala Al-Fuqaha, Riduan Mohamed Abid, Driss Benhaddou

* 1 table of 20 pages representing the latest research done in application of AI in building 
  Access Paper or Ask Questions

Deriving Emotions and Sentiments from Visual Content: A Disaster Analysis Use Case


Feb 03, 2020
Kashif Ahmad, Syed Zohaib, Nicola Conci, Ala Al-Fuqaha

Figure 1 for Deriving Emotions and Sentiments from Visual Content: A Disaster Analysis Use Case
Figure 2 for Deriving Emotions and Sentiments from Visual Content: A Disaster Analysis Use Case
Figure 3 for Deriving Emotions and Sentiments from Visual Content: A Disaster Analysis Use Case
Figure 4 for Deriving Emotions and Sentiments from Visual Content: A Disaster Analysis Use Case

  Access Paper or Ask Questions

Challenges and Countermeasures for Adversarial Attacks on Deep Reinforcement Learning


Jan 27, 2020
Inaam Ilahi, Muhammad Usama, Junaid Qadir, Muhammad Umar Janjua, Ala Al-Fuqaha, Dinh Thai Hoang, Dusit Niyato

Figure 1 for Challenges and Countermeasures for Adversarial Attacks on Deep Reinforcement Learning
Figure 2 for Challenges and Countermeasures for Adversarial Attacks on Deep Reinforcement Learning
Figure 3 for Challenges and Countermeasures for Adversarial Attacks on Deep Reinforcement Learning
Figure 4 for Challenges and Countermeasures for Adversarial Attacks on Deep Reinforcement Learning

  Access Paper or Ask Questions

Secure and Robust Machine Learning for Healthcare: A Survey


Jan 21, 2020
Adnan Qayyum, Junaid Qadir, Muhammad Bilal, Ala Al-Fuqaha

Figure 1 for Secure and Robust Machine Learning for Healthcare: A Survey
Figure 2 for Secure and Robust Machine Learning for Healthcare: A Survey
Figure 3 for Secure and Robust Machine Learning for Healthcare: A Survey
Figure 4 for Secure and Robust Machine Learning for Healthcare: A Survey

  Access Paper or Ask Questions

Exploiting Unlabeled Data in Smart Cities using Federated Learning


Jan 10, 2020
Abdullatif Albaseer, Bekir Sait Ciftler, Mohamed Abdallah, Ala Al-Fuqaha

Figure 1 for Exploiting Unlabeled Data in Smart Cities using Federated Learning
Figure 2 for Exploiting Unlabeled Data in Smart Cities using Federated Learning
Figure 3 for Exploiting Unlabeled Data in Smart Cities using Federated Learning
Figure 4 for Exploiting Unlabeled Data in Smart Cities using Federated Learning
* 6 pages, in review for IEEE ICC 2020 
  Access Paper or Ask Questions

Sentiment Analysis from Images of Natural Disasters


Oct 10, 2019
Syed Zohaib, Kashif Ahmad, Nicola Conci, Ala Al-Fuqaha

Figure 1 for Sentiment Analysis from Images of Natural Disasters
Figure 2 for Sentiment Analysis from Images of Natural Disasters
Figure 3 for Sentiment Analysis from Images of Natural Disasters
Figure 4 for Sentiment Analysis from Images of Natural Disasters

  Access Paper or Ask Questions

Multi-Modal Machine Learning for Flood Detection in News, Social Media and Satellite Sequences


Oct 07, 2019
Kashif Ahmad, Konstantin Pogorelov, Mohib Ullah, Michael Riegler, Nicola Conci, Johannes Langguth, Ala Al-Fuqaha

Figure 1 for Multi-Modal Machine Learning for Flood Detection in News, Social Media and Satellite Sequences
* MediaEval 2019 
  Access Paper or Ask Questions

Active Learning for Event Detection in Support of Disaster Analysis Applications


Sep 27, 2019
Naina Said, Kashif Ahmad, Nicola Conci, Ala Al-Fuqaha

Figure 1 for Active Learning for Event Detection in Support of Disaster Analysis Applications
Figure 2 for Active Learning for Event Detection in Support of Disaster Analysis Applications
Figure 3 for Active Learning for Event Detection in Support of Disaster Analysis Applications
Figure 4 for Active Learning for Event Detection in Support of Disaster Analysis Applications

  Access Paper or Ask Questions

Black-box Adversarial ML Attack on Modulation Classification


Aug 01, 2019
Muhammad Usama, Junaid Qadir, Ala Al-Fuqaha

Figure 1 for Black-box Adversarial ML Attack on Modulation Classification
Figure 2 for Black-box Adversarial ML Attack on Modulation Classification
Figure 3 for Black-box Adversarial ML Attack on Modulation Classification

  Access Paper or Ask Questions

The Adversarial Machine Learning Conundrum: Can The Insecurity of ML Become The Achilles' Heel of Cognitive Networks?


Jun 03, 2019
Muhammad Usama, Junaid Qadir, Ala Al-Fuqaha, Mounir Hamdi

Figure 1 for The Adversarial Machine Learning Conundrum: Can The Insecurity of ML Become The Achilles' Heel of Cognitive Networks?
Figure 2 for The Adversarial Machine Learning Conundrum: Can The Insecurity of ML Become The Achilles' Heel of Cognitive Networks?
Figure 3 for The Adversarial Machine Learning Conundrum: Can The Insecurity of ML Become The Achilles' Heel of Cognitive Networks?
Figure 4 for The Adversarial Machine Learning Conundrum: Can The Insecurity of ML Become The Achilles' Heel of Cognitive Networks?

  Access Paper or Ask Questions