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20242026
most citedData-driven Machinery Fault Diagnosis: A Comprehensive Review

159 citations · 194 across the 29 of their papers we have counts for

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10 papers · 1 filter

cs.CV2024

SimpsonsVQA: Enhancing Inquiry-Based Learning with a Tailored Dataset

Ngoc Dung Huynh, Mohamed Reda Bouadjenek, Sunil Aryal +2

Visual Question Answering (VQA) has emerged as a promising area of research to develop AI-based systems for enabling interactive and immersive learning. Numerous VQA datasets have…

cs.CV2024

Margin-bounded Confidence Scores for Out-of-Distribution Detection

Lakpa D. Tamang, Mohamed Reda Bouadjenek, Richard Dazeley +1

In many critical Machine Learning applications, such as autonomous driving and medical image diagnosis, the detection of out-of-distribution (OOD) samples is as crucial as accurate…

cs.LG2024★ 2 cited

Data Quality in Edge Machine Learning: A State-of-the-Art Survey

Mohammed Djameleddine Belgoumri, Mohamed Reda Bouadjenek, Sunil Aryal +1

Data-driven Artificial Intelligence (AI) systems trained using Machine Learning (ML) are shaping an ever-increasing (in size and importance) portion of our lives, including, but no…

cs.AI2024★ 159 cited

Data-driven Machinery Fault Diagnosis: A Comprehensive Review

Dhiraj Neupane, Mohamed Reda Bouadjenek, Richard Dazeley +1

In this era of advanced manufacturing, it's now more crucial than ever to diagnose machine faults as early as possible to guarantee their safe and efficient operation. With the mas…

stat.ME2024★ 9 cited

Review for Handling Missing Data with special missing mechanism

Youran Zhou, Sunil Aryal, Mohamed Reda Bouadjenek

Missing data poses a significant challenge in data science, affecting decision-making processes and outcomes. Understanding what missing data is, how it occurs, and why it is cruci…

cs.AI2024★ 7 cited

The Pursuit of Fairness in Artificial Intelligence Models: A Survey

Tahsin Alamgir Kheya, Mohamed Reda Bouadjenek, Sunil Aryal

Artificial Intelligence (AI) models are now being utilized in all facets of our lives such as healthcare, education and employment. Since they are used in numerous sensitive enviro…

cs.CR2024★ 2 cited

Hierarchical Classification for Intrusion Detection System: Effective Design and Empirical Analysis

Md. Ashraf Uddin, Sunil Aryal, Mohamed Reda Bouadjenek +2

With the increased use of network technologies like Internet of Things (IoT) in many real-world applications, new types of cyberattacks have been emerging. To safeguard critical in…

cs.CR2024

A Dual-Tier Adaptive One-Class Classification IDS for Emerging Cyberthreats

Md. Ashraf Uddin, Sunil Aryal, Mohamed Reda Bouadjenek +2

In today's digital age, our dependence on IoT (Internet of Things) and IIoT (Industrial IoT) systems has grown immensely, which facilitates sensitive activities such as banking tra…

cs.CR2024

usfAD Based Effective Unknown Attack Detection Focused IDS Framework

Md. Ashraf Uddin, Sunil Aryal, Mohamed Reda Bouadjenek +2

The rapid expansion of varied network systems, including the Internet of Things (IoT) and Industrial Internet of Things (IIoT), has led to an increasing range of cyber threats. Ens…

cs.LG2024★ 8 cited

Training Machine Learning models at the Edge: A Survey

Aymen Rayane Khouas, Mohamed Reda Bouadjenek, Hakim Hacid +1

Edge computing has gained significant traction in recent years, promising enhanced efficiency by integrating artificial intelligence capabilities at the edge. While the focus has p…