Image-CNN Based Process Control of Profile by Zeinab, Zeinab Jihad

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A Deep Learning based Process Model for Crack Detection in Pavement Structures by Rababaah, Aaron

“…This paper presents an investigation of the effectiveness of a Machine Deep Learning (DL) model using Convolution Neural Networks (CNN) in detecting cracks in asphalt pavement. …”
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Using machine learning architecture to optimize and model the treatment process for saline water level analysis by Arumugam, Mahendran

“…This research proposed a novel method for optimization and modelling of the treatment process for saline water based on water level data analysis using machine learning (ML) techniques. …”
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Learning-Based Space-Time Adaptive Processing by El Khatib, Alaa

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Remote Labs and Game-Based Learning for Process Control by Zaulkerman, Imran

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Cyber-risk Mitigation Strategies and the Role of Artificial Intelligence in Mitigating Cyber-Risks: The Case of the United Arab Emirates Transport Sector by ALYAMMAHI, ALI SAEED ALI AHMED

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Detection of central serous retinopathy using deep learning through retinal images by Syed Ale Hassan (17785655)

“…This research proposes a deep learning-based CSR detection employing two imaging techniques: OCT and fundus photography. …”

Enhancing Students’ Learning and Engagement through Formative Assessment using Online Learning Tools by Elbasyouny, Tariq Refaat Bahieldeen

Subjects: “…students’ learning…”
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Integrating rule-based approach and machine learning approach for arabic named entity recognition by Oudah, Mai Mohamed

“…Most of Arabic NER systems have been developed using mainly two types of approaches including Rule-based approach and Machine Learning based approach. …”
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A bottom-up outcome-based learning assessment process for accrediting computing programs by Harmanani, Haidar M.

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Deep Learning for the Extraction of Aspects in Textual Opinions by ALSEREIDI, MOHAMED SOHAIL

Subjects: “…aspect-based sentiment analysis, deep learning, sentiment analysis, natural language processing, Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), Graph Neural Networks (GNNs), rule-based methods, textual opinions…”
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A learning-based approach for network selection in WLAN/3G heterogeneous network by Abbas, Nadine

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Faux-Data Injection Optimization for Accelerating Data-Driven Discovery of Materials by Abdul Wahab Ziaullah (16027076)

“…We achieve this objective through a batch optimization technique based on faux-data injection in the BO loop. In the approach at each candidate suggestion from a typical BO loop, we “predict” the outcome, instead of running the actual experiment or DFT calculation, forming a “faux-data-point” and injecting it back to update an ML model. …”

Con-Detect: Detecting adversarially perturbed natural language inputs to deep classifiers through holistic analysis by Hassan, Ali

“…Deep Learning (DL) algorithms have shown wonders in many Natural Language Processing (NLP) tasks such as language-to-language translation, spam filtering, fake-news detection, and comprehension understanding. …”
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Machine learning based approaches for intelligent adaptation and prediction in banking business processes. (c2018) by Tay, Bilal M.

“…Companies, nowadays, rely on systems and applications to automate their business processes and data management. In this context, the notion of integrating machine learning techniques in banking business processes has emerged, where trainable computational algorithms can be improved by learning. …”
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Investigating the Impact of Negotiated Task-Based Syllabus on Adult Learners' Oral Fluency by Abu Shakra, Hidar

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Enhancing the learning-to-drive process for autistic learners in Qatar by Wondwesen Girma Mamo (15294170)

“…The study consisted of three progressive phases: (1) Assess driving instructors' prior knowledge and practices regarding autism and driving. (2) Explore driving instructors' knowledge on autism and driving before and after an evidence-based workshop. (3) Compare the learning-to-drive process for autistic learners following 28 days of driving lessons from trained driving instructors to non-trained driving instructors. …”

Con-Detect: Detecting Adversarially Perturbed Natural Language Inputs to Deep Classifiers Through Holistic Analysis by Hassan Ali (3348749)

“…<p>Deep Learning (DL) algorithms have shown wonders in many Natural Language Processing (NLP) tasks such as language-to-language translation, spam filtering, fake-news detection, and comprehension understanding. …”

Optimizing malicious website prediction: An advanced XGBoost-based machine learning model by Sumaira Hussain (19259669)

Across the Spectrum In-Depth Review AI-Based Models for Phishing Detection by Shakeel Ahmad (702854)

“…The study reviews traditional phishing detection methods, ML and DL models, phishing datasets, and the step-by-step phishing process. …”