32 citations · 89 across the 9 of their papers we have counts for
11 papers
Exploration and Exploitation in Federated Learning to Exclude Clients with Poisoned Data
Shadha Tabatabai, Ihab Mohammed, Basheer Qolomany +4
Federated Learning (FL) is one of the hot research topics, and it utilizes Machine Learning (ML) in a distributed manner without directly accessing private data on clients. However…
Adversarial Attacks and Defenses for Social Network Text Processing Applications: Techniques, Challenges and Future Research Directions
Izzat Alsmadi, Kashif Ahmad, Mahmoud Nazzal +4
The growing use of social media has led to the development of several Machine Learning (ML) and Natural Language Processing(NLP) tools to process the unprecedented amount of social…
The Duo of Artificial Intelligence and Big Data for Industry 4.0: Review of Applications, Techniques, Challenges, and Future Research Directions
Senthil Kumar Jagatheesaperumal, Mohamed Rahouti, Kashif Ahmad +2
The increasing need for economic, safe, and sustainable smart manufacturing combined with novel technological enablers, has paved the way for Artificial Intelligence (AI) and Big D…
Intelligent Building Control Systems for Thermal Comfort and Energy-Efficiency: A Systematic Review of Artificial Intelligence-Assisted Techniques
Ghezlane Halhoul Merabet, Mohamed Essaaidi, Mohamed Ben Haddou +6
Building operations represent a significant percentage of the total primary energy consumed in most countries due to the proliferation of Heating, Ventilation and Air-Conditioning…
Deriving Emotions and Sentiments from Visual Content: A Disaster Analysis Use Case
Kashif Ahmad, Syed Zohaib, Nicola Conci +1
Sentiment analysis aims to extract and express a person's perception, opinions and emotions towards an entity, object, product and a service, enabling businesses to obtain feedback…
Secure and Robust Machine Learning for Healthcare: A Survey
Adnan Qayyum, Junaid Qadir, Muhammad Bilal +1
Recent years have witnessed widespread adoption of machine learning (ML)/deep learning (DL) techniques due to their superior performance for a variety of healthcare applications ra…