MACGAN: An All-in-One Image Restoration Under Adverse Conditions Using Multidomain Attention-Based Conditional GAN by Maria Siddiqua (17949149)

“…The MACGAN is a lightweight network with four encoder and decoder blocks and multiple attention blocks in between, which enhances the image restoration process by focusing on the most important features. …”

A Novel Fault Diagnosis of Uncertain Systems Based on Interval Gaussian Process Regression: Application to Wind Energy Conversion Systems by Majdi Mansouri (16869885)

Damage assessment and recovery from malicious transactions using data dependency for defensive information warfare by Haraty, Ramzi A.

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Using Data Mining and Text Mining Techniques in Predicting the Price of Real Estate Properties in Dubai by Khashan, Deena Younis Abo

“…Predicting the price of real estate properties based on past sales transactions is one of the data mining applications. In this thesis, the effectiveness of using linear regression modeling as a data mining technique in predicting the price of a real estate property based on online real estate classifieds is examined. …”
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Degree-Based Network Anonymization by Halawi, Ola

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FEM optimization of process parameters and in-process cooling in the friction stir processing of magnesium alloy AZ31b by Ammouri, A.H.

“…A numerical FEM study is presented in this paper where a thermo-mechanical-based model is used for optimizing the process parameters, including active in-process cooling, in FSP. …”
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Cure Monitoring of Epoxy Structural Adhesion Using Lamb Waves and the Discrete Wavelet Transform by Zakharia, Michel

“…This study aims to analyze the recorded Lamb wave data using the discrete wavelet transform (DWT). …”
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Cyberbullying Detection Model for Arabic Text Using Deep Learning by Albayari, Reem

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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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A Comparative Study of Mobile Database Transaction Models by Haraty, Ramzi A.

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Machine learning-aided prediction of COD removal in the electrocoagulation process using a super learner model by Mhd Taisir Albaba (20601071)

Al-Monakkeb--a superior indexer and time extractor for Arabic texts. (c2004) by Khatib, Samer A.

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Transfer Learning and Sentiment Analysis of Lebanese Dialect Data using a Multilingual Deep Learning Approach by Chehade, Mira

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Autocorrelation of the trade process by Ben Sita, Bernard

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A Novel Non-Invasive Estimation of Respiration Rate From Motion Corrupted Photoplethysmograph Signal Using Machine Learning Model by Md. Nazmul Islam Shuzan (16888827)

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

“…<div><p>Artificial intelligence is now extensively being used to optimize and discover novel materials through data-driven search. …”

Privacy-Preserving Distributed IDS Using Incremental Learning for IoT Health Systems by Aliya Tabassum (16896486)

“…We use autoencoders with non-negativity constraints, which help us extract less redundant features. …”

A Mediation Layer for Connecting Data-Intensive Applications to Reconfigurable Data Nodes by Jomaa, Mohamad

“…One of those challenges is developing approaches and mechanisms that render high performance in processing and storing data. We joined this research effort by proposing a reconfigurable active solid state drives (RASSD) system that deals with such applications, through employing basic hardware, namely FPGA's connected to SSD's, to service the above applications as processing nodes, and take advantage of the close proximity between storage and processing. …”
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Using Educational Data Mining Techniques in Predicting Grade-4 students’ performance in TIMSS International Assessments in the UAE by SHWEDEH, FATEN

“…Classification is a Data Mining (DM) technique used for prediction. On the other hand, feature selection is the process of finding the best set of features that has the most impact on a specific target. …”
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Supporting secure dynamic alert zones using searchable encryption and graph embedding by Sina Shaham (17707254)

“…However, serious privacy concerns arise when location data are used in clear in the process. Several solutions employ searchable encryption (SE) to achieve secure alerts directly on encrypted locations. …”