Myeloid Cells in Circulation and Tumor Microenvironment of Colorectal Cancer Patients with Early and Advanced Disease Stages by Salman M. Toor (8854751)

“…However, due to the heterogenic nature of MDSCs and the different approaches for their identification, their detailed characterization and impact on disease progression in cancer patients are warranted. In this study, we investigated the levels of different myeloid cell subsets and antigen-presenting cells (APCs) using flow cytometry in unfractionated whole blood (WB), peripheral blood mononuclear cells (PBMCs), tumor tissue (TT), and adjacent normal tissue (NT) of colorectal cancer (CRC) patients. …”

On the Use of Deep Learning for Video Classification by Atiq ur Rehman (14153391)

“…This review mainly focuses on the type of network architecture used, the evaluation criteria to measure the success, and the datasets used. …”

Use of the DISCOVER assessment for identification purposes by Sarouphim, Ketty M.

“…Chi-square tests revealed no overall significant gender differences in identification. The findings promote the use of the DISCOVER assessment for identification purposes.…”
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Nonlinear Control of Brushless Dual-Fed Induction Generator With a Flywheel Energy Storage System for Improved System Performance by Mohammed Hamidat (3722086)

“…After optimization, the SMC settling time was significantly reduced from 0.7 seconds to 19.97 milliseconds, achieving a 96.9% improvement in response speed, while its steady-state error decreased from 0.48 to 0.06, marking an 87.5% reduction in tracking error. …”

The Impact Of Digitalization On Marketing Strategies Used By Tech Companies by Alhammadi, Sara

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Estimating the probability of detection of cracks in metal plates using lamb waves by Masurkar, Faeez

“…This paper focusses on the development of a data-driven damage detection method to quantify fatigue crack in metal plates using Lamb waves and its reliability using a probability of detection (POD) technique. …”
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An Integrated Model for Metaverse Adoption in Higher Education Institutions: A Structural Equation Modelling and Artificial Neural Network Approach by MAGHAYDAH, SAFWAN SULEIMAN MGHIED

“…Information and Communication Technology (ICT) is experiencing a significant shift with the advent of the Metaverse, merging physical reality with a virtual world via virtual and augmented reality headsets. …”
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Use of the portage curriculum to impact child and parent outcome in an early intervention program in Lebanon by Sarouphim, Ketty M.

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A comprehensive review on harvesting of microalgae using Polyacrylamide-Based Flocculants: Potentials and challenges by Shifa M.R. Shaikh (17128882)

“…This paper delivers an up-to-date progress in the harvesting of microalgae suspensions using various polyacrylamide flocculants. …”

AI‐Enhanced PV Power Forecasting Using Cloud Thickness and Motion in Kayseri, Turkey by Levent Yavuz (22501784)

“…<p dir="ltr">The incorporation of renewable energy in photovoltaic (PV) systems has made significant progress. The inherent intermittency nature of PV generation, nevertheless, poses an obstacle to accurate energy forecasting. …”

Evaluation of Neuro Images for the Diagnosis of Alzheimer's Disease Using Deep Learning Neural Network by Ahila A (18394806)

“…<div><p>Alzheimer's Disease (AD) is a progressive, neurodegenerative brain disease and is an incurable ailment. …”

A machine learning model for early detection of diabetic foot using thermogram images by Amith Khandakar (14151981)

“…<p dir="ltr">Diabetes foot ulceration (DFU) and amputation are a cause of significant morbidity. The prevention of DFU may be achieved by the identification of patients at risk of DFU and the institution of preventative measures through education and offloading. …”

The Impact of Using Information and Communication Technology in the Attitudes and Achievement of Grade Three Students in Mathematics and Science by Siyam, Nur Yacoub Mahmoud

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Parameter identification of PV solar cells and modules using bio dynamics grasshopper optimization algorithm by Mostafa Jabari (21841727)

A Clinically Interpretable Approach for Early Detection of Autism Using Machine Learning With Explainable AI by Oishi Jyoti (21593819)

“…The global concern associated with ASD diagnosis is increasing at a rapid rate due to its significant impact on quality of life. Early identification of ASD can significantly support timely intervention and treatment planning. …”

Dual-stage segmentation and classification framework for skin lesion analysis using deep neural network by Khadija Manzoor (22565369)

“…Early and accurate detection of such conditions is critical to prevent progression, especially in cases of malignant skin lesions. …”

Using Mobile Technology for Coordinating Educational Plans and Supporting Decision Making Through Reinforcement Learning in Inclusive Settings by Siyam, Nur

“…The proposed work presents four significant contributions, namely identifying the key design principles to inform the design of a coordination mobile app for special education, developing and implementing the IEP-Connect mobile app, modelling the selection of a motivator as a Markov Decision Process (MDP), and proposing a Reinforcement Learning (RL) framework to recommend a motivator to be used with students with SEND in a given learning setting. …”
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Temporal self-attention for risk prediction from electronic health records using non-stationary kernel approximation by Rawan AlSaad (14159019)

“…However, in practice, a patient’s visits are irregularly spaced over a relatively long period of time, and disease progression patterns exhibit non-stationarity. Furthermore, the time gaps between patient visits often encapsulate significant domain knowledge, potentially revealing undiscovered patterns that characterize specific medical conditions. …”

Advanced direct air capture of CO₂ using air conditioning systems: a life cycle assessment by Namra Mir (17017734)

Investigating the effectiveness of using tablets to teach dyslexic students: a case study of a government school in Ras Al Khaimah, UAE. by ALSHEMEILI, MARYAM

“…The report was supported with various educational articles and resources to launch an overview of better teaching dyslexic children using tablets. It discussed significant elements: the introduction, including policy considerations of inclusive education, the literature review, methodology, the findings, and the discussion of the data collected with the recommendations for future research. …”
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