A Deep Neural Network Chatbot for the Gulf Arabic Dialect: A Hybrid BiLSTM-Transformer Approach by ALAZZAM, BAYAN AHMAD

“…Artificial Intelligence (AI) is a technology that enables machines to mimic human intelligence, with core fields including Natural Language Processing (NLP) and Machine Learning (ML). Chatbot is a prominent AI application, that uses NLP techniques to engage in human-like conversations, enhancing human-machine interactions. …”
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A Methodology of Rule Discovery from Large-scale Multi-tier Noisy Educational Data by Yousuf, Tasneem

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Detecting Code Smells by Jammal, Rim El

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Degree-Based Network Anonymization by Halawi, Ola

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Critical Success Factors for Sustainable Construction Project Management by Murat Gunduz (16875960)

“…<p dir="ltr">It is necessary to identify critical success factors (CSFs) that affect the construction process. This paper’s aim is to define the CSFs considering views of all construction project stakeholders. …”

Classification of Cognitive Workload Levels under Vague Visual Stimulation by Mahmoud, Rwan Adil Osman

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Correlation Clustering via s-Club Cluster Edge Deletion by Makarem, Norma

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Exploiting Sparsity in Amplify-and-Forward Broadband Multiple Relay Selection by Ala Gouissem (7006463)

“…Therefore, to solve this problem and enhance the spatial and frequency diversity orders of large amplify and forward cooperative communication networks, in this paper, we develop three multiple relay selection and distributed beamforming techniques that exploit sparse signal recovery theory to process the subcarriers using the low complexity orthogonal matching pursuit algorithm (OMP). …”

SRP: An Efficient Runtime Protection Framework for Blockchain-based Smart Contracts by Isra M. Ali (17869355)

High open-circuit voltage in wide-bandgap bromide perovskite solar cells: the role of hole transport materials by Mohammad Istiaque Hossain (17944964)

Decarbonizing the food and beverages industry: A critical and systematic review of developments, sociotechnical systems and policy options by Sovacool, Benjamin

“…Utilizing a sociotechnical lens that examines food supply and agriculture, manufacturing, retail and distribution, and consumption and use, the review identifies the most carbon-intensive processes in the industry, as well as the corresponding energy and carbon “footprints”. …”
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Decoding the Therapeutic Potential of [HuArgI (Co)-PEG5000] Arginase Treatment by Zeineddine, Mira

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Enhancing Arabic Offensive Tweet Classification: An Ensemble Approach Integrating AraBERT, Neural Networks, and LSTM Models by WAHDAN, AHLAM MOHAMMAD

“…Secondly, it investigates the effects of employing novel pre-processing methods on the performance of Arabic Text Classification. …”
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LQG-Based Virtual Inertial Control of Islanded Microgrid Load Frequency Control and DoS Attack Vulnerability Analysis by Athira M. Mohan (17947850)

Deep learning-based marine big data fusion for ocean environment monitoring: Towards shape optimization and salient objects detection by Sulaiman Khan (12585349)

“…<h3>Objective</h3><p dir="ltr">During the last few years, underwater object detection and marine resource utilization have gained significant attention from researchers and become active research hotspots in underwater image processing and analysis domains. …”

Parallel multi-voltage power minimization in VLSI circuits. (c2013) by Younes, Rabih Halim

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VHDRA: A Vertical and Horizontal Intelligent Dataset Reduction Approach for Cyber-Physical Power Aware Intrusion Detection Systems by Hisham A. Kholidy (18891802)

Metformin attenuates V-domain Ig suppressor of T-cell activation through the aryl hydrocarbon receptor pathway in Melanoma: In Vivo and In Vitro Studies by Fawaz E., Alanazi

“…VISTA and AHR levels were assessed by qPCR, Western blot, immunofluorescence microscope, flow cytometry, and immunohistochemistry. Here, metformin significantly decreased VISTA and AHR levels in vitro and in vivo. …”
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Follow up and comparative assessment of IgG, IgA, and neutralizing antibody responses to SARS-CoV-2 between mRNA-vaccinated naïve and unvaccinated naturally infected individuals ov... by Salma, Younes

“…At the 7th month, there was a significant decline in antibody responses among VN individuals, but not NI individuals, with a minimum decrease of 3.7-fold (p < 0.001). …”
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Optimizing malicious website prediction: An advanced XGBoost-based machine learning model by Sumaira Hussain (19259669)