32 citations · 44 across the 19 of their papers we have counts for
20 papers
Predicting High-Risk Colorectal Polyps in African Americans Using Pre-Colonoscopy Clinical Features: Machine Learning Model Development and Temporal Validation
Basheer Qolomany, Mrinalini Deverapall, Adeyinka Laiyemo +5
Risk stratification for advanced colorectal polyps typically relies on colonoscopy and/or pathology findings. However, there is growing interest in whether non-invasive features av…
Large Language Model Enhanced Particle Swarm Optimization for Hyperparameter Tuning for Deep Learning Models
Saad Hameed, Basheer Qolomany, Samir Brahim Belhaouari +3
Determining the ideal architecture for deep learning models, such as the number of layers and neurons, is a difficult and resource-intensive process that frequently relies on human…
A Survey of Social Cybersecurity: Techniques for Attack Detection, Evaluations, Challenges, and Future Prospects
Aos Mulahuwaish, Basheer Qolomany, Kevin Gyorick +5
In today's digital era, the Internet, especially social media platforms, plays a significant role in shaping public opinions, attitudes, and beliefs. Unfortunately, the credibility…
Safeguarding connected autonomous vehicle communication: Protocols, intra- and inter-vehicular attacks and defenses
Mohammed Aledhari, Rehma Razzak, Mohamed Rahouti +6
The advancements in autonomous driving technology, coupled with the growing interest from automotive manufacturers and tech companies, suggest a rising adoption of Connected Autono…
Weighted Sampled Split Learning (WSSL): Balancing Privacy, Robustness, and Fairness in Distributed Learning Environments
Manish Osti, Aashray Thakuri, Basheer Qolomany +1
This study presents Weighted Sampled Split Learning (WSSL), an innovative framework tailored to bolster privacy, robustness, and fairness in distributed machine learning systems. U…
CCTFv1: Computational Modeling of Cyber Team Formation Strategies
Tristan J. Calay, Basheer Qolomany, Aos Mulahuwaish +2
Rooted in collaborative efforts, cybersecurity spans the scope of cyber competitions and warfare. Despite extensive research into team strategy in sports and project management, em…
Motion Comfort Optimization for Autonomous Vehicles: Concepts, Methods, and Techniques
Mohammed Aledhari, Mohamed Rahouti, Junaid Qadir +3
This article outlines the architecture of autonomous driving and related complementary frameworks from the perspective of human comfort. The technical elements for measuring Autono…
Topic Modeling Based on Two-Step Flow Theory: Application to Tweets about Bitcoin
Aos Mulahuwaish, Matthew Loucks, Basheer Qolomany +1
Digital cryptocurrencies such as Bitcoin have exploded in recent years in both popularity and value. By their novelty, cryptocurrencies tend to be both volatile and highly speculat…
CovidMis20: COVID-19 Misinformation Detection System on Twitter Tweets using Deep Learning Models
Aos Mulahuwaish, Manish Osti, Kevin Gyorick +3
Online news and information sources are convenient and accessible ways to learn about current issues. For instance, more than 300 million people engage with posts on Twitter global…
Improving Datacenter Utilization through Containerized Service-Based Architecture
Aos Mulahuwaish, Shane Korbel, Basheer Qolomany
The modern datacenter's computing capabilities have far outstripped the applications running within and have become a hidden cost of doing business due to how software is architect…
Evolutionary Random Graph for Bitcoin Overlay and Blockchain Mining Networks
Jacques Bou Abdo, Shuvalaxmi Dass, Basheer Qolomany +1
The world economy is experiencing the novel adoption of distributed currencies that are free from the control of central banks. Distributed currencies suffer from extreme volatilit…
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…
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…
Sentiment Analysis of Users' Reviews on COVID-19 Contact Tracing Apps with a Benchmark Dataset
Kashif Ahmad, Firoj Alam, Junaid Qadir +8
Contact tracing has been globally adopted in the fight to control the infection rate of COVID-19. Thanks to digital technologies, such as smartphones and wearable devices, contacts…
Budgeted Online Selection of Candidate IoT Clients to Participate in Federated Learning
Ihab Mohammed, Shadha Tabatabai, Ala Al-Fuqaha +4
Machine Learning (ML), and Deep Learning (DL) in particular, play a vital role in providing smart services to the industry. These techniques however suffer from privacy and securit…
Particle Swarm Optimized Federated Learning For Industrial IoT and Smart City Services
Basheer Qolomany, Kashif Ahmad, Ala Al-Fuqaha +1
Most of the research on Federated Learning (FL) has focused on analyzing global optimization, privacy, and communication, with limited attention focusing on analyzing the critical…
Trust-Based Cloud Machine Learning Model Selection For Industrial IoT and Smart City Services
Basheer Qolomany, Ihab Mohammed, Ala Al-Fuqaha +2
With Machine Learning (ML) services now used in a number of mission-critical human-facing domains, ensuring the integrity and trustworthiness of ML models becomes all-important. In…
Artificial Intelligence-Assisted Energy and Thermal Comfort Control for Sustainable Buildings: An Extended Representation of the Systematic Review
Ghezlane Halhoul Merabet, Mohamed Essaaidi, Mohamed Ben-Haddou +6
Different factors such as thermal comfort, humidity, air quality, and noise have significant combined effects on the acceptability and quality of the activities performed by the bu…
Leveraging Machine Learning and Big Data for Smart Buildings: A Comprehensive Survey
Basheer Qolomany, Ala Al-Fuqaha, Ajay Gupta +4
Future buildings will offer new convenience, comfort, and efficiency possibilities to their residents. Changes will occur to the way people live as technology involves into people'…
Role of Deep LSTM Neural Networks And WiFi Networks in Support of Occupancy Prediction in Smart Buildings
Basheer Qolomany, Ala Al-Fuqaha, Driss Benhaddou +1
Knowing how many people occupy a building, and where they are located, is a key component of smart building services. Commercial, industrial and residential buildings often incorpo…