Foreign Aid and the Quest for Poverty Reduction: Is Aid to Agriculture Effective? by Kaya, Ozgur

“…We find a significant relationship between agricultural aid and poverty reduction in our estimates.…”
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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)

“…In this paper, we introduce VHDRA, a Vertical and Horizontal Data Reduction Approach, to improve the classification accuracy and speed of the NNGE algorithm and reduce the computational resource consumption. …”

Type 2 Diabetes Mellitus Automated Risk Detection Based on UAE National Health Survey Data: A Framework for the Construction and Optimization of Binary Classification Machine Learn... by Mohamed, AlShuweihi

“…A special consideration was given to data pre-processing and dimensionality reduction such Chi Squared (CS) and Recursive Feature Elimination (RFE) to improve progressively the proposed models performance. …”
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Polarimetric SAR Speckle Reduction by Hybrid Iterative Filtering by Yahia, Mohamed

“…Simulated, one-look and multilook real PolSAR data were used for validation.…”
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Scalable Nonparametric Supervised Learning for Streaming and Massive Data: Applications in Healthcare Monitoring and Credit Risk by Mohamed Chaouch (17983846)

“…<p dir="ltr">This paper introduces novel nonparametric supervised learning techniques for classifying massive datasets, addressing key limitations of existing methods in Big and Streaming Data framework. We propose an offline kernel-based classifier enhanced by Batch Principal Component Analysis (PCA) for dimensionality reduction to mitigate the “curse of dimensionality”. …”

Anomalies Detection in Software by Conceptual Learning From Normal Executions by Ahmad Qadeib Alban (16855206)

Zooming Into Clarity: Image Denoising Through Innovative Autoencoder Architectures by Khatereh Mohammadi (17309662)

“…Empirical evaluations on diverse datasets, including CelebA and Autism Face data, demonstrate significant improvements in the Peak Signal-to-Noise Ratio (PSNR) and Structural Similarity Index Measure (SSIM). …”

Nurse-Led System-wide Unit-based Hospital Acquired Pressure Injury (HAPI) Reduction Project by Mariam Al-Mutawa (18505317)

“…A retrospective data analysis identified issues such as knowledge gaps, lack of continuity of care, and nursing practice variations. …”

Breastfeeding is associated with reduction in postpartum depression in the United Arab Emirates: a retrospective cross-sectional study by Ala Al Rajabi (22457746)

“…None of the remaining variables -including physical activity- were significant. In conclusion, breastfeeding is significantly associated with a reduction in moderate-to-severe PPD among mothers in Abu Dhabi, UAE.…”

Allocating data to multicomputer nodes by physical optimization algorithms for loosely synchronous computations by Mansour, Nashat

“…Preprocessing graph contraction is one of the additional steps suggested for the physical methods. It produces a significant reduction in execution time, which is necessary for their applicability to large problems.…”
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Exploring Effects of Mental Stress with Data Augmentation and Classification Using fNIRS by Khan, Malik Nasir Afzal

“…In the time series data, statistically significant differences were noticed in the data before and after BB stimulation, which showed an improvement in the brain state, in line with the classification results. …”
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Communication-efficient hierarchical federated learning for IoT heterogeneous systems with imbalanced data by Alaa Awad Abdellatif (17151163)

“…Furthermore, the proposed approach could significantly accelerate FL training and reduce communication overhead by providing 75–85% reduction in the communication rounds between edge nodes and the centralized server, for the same model accuracy.…”

Gene expression data analysis identifies multiple deregulated pathways in patients with asthma by Reem H. Alrashoudi (18629731)

“…The data highlight the multifactorial nature of asthma, but revealed no significant overlap with the gene expression profiles from different datasets interrogated in current studies. …”

Predictors of prolonged hospitalization among geriatric trauma patients using the modified 5-Item Frailty index in a Middle Eastern trauma center: an 11-year retrospective study by Husham Abdelrahman (768893)

“…Head injury and bleeding were the leading causes of mortality in the study cohort. There was a significant decrease in the trend of geriatric trauma over the years. …”

Autocleandeepfood: auto-cleaning and data balancing transfer learning for regional gastronomy food computing by Nauman Ullah Gilal (17302714)

“…However, automated food classification presents a significant challenge, particularly when it comes to local and regional cuisines, which are often underrepresented in available public-domain data sets. …”

Nexus between foreign remittances and poverty alleviation: Empirical investigation of Tajikistan from Central Asia by Farrukh Nawaz (17986582)

Understanding the formation of active site in copper ceria system for carbon dioxide catalytic conversion by Parisa Ebrahimi (14152392)

Data-driven robust model predictive control for greenhouse temperature control and energy utilisation assessment by Farhat Mahmood (15468854)

“…<p dir="ltr">The greenhouse microclimate, especially temperature, is highly complex, and controlling it requires significant resources due to the greenhouses' inefficient design. …”

UGA-GAN: Unified Geometry-Aware GAN for Enhanced Training and Generation of High-Dimensional Data by Wasi Ahmad (23124064)

“…These results highlight the potential of UGA-GAN to significantly improve high-dimensional data generation tasks in domains such as medical imaging, video generation, and 3D object synthesis. …”

Effectiveness of Sacubitril/Valsartan in Heart Failure with Reduced Ejection Fraction Using Real-World Data: An Updated Systematic Review and Meta-Analysis by Alaa Rahhal (14150403)

“…Similar to the landmark controlled evidence, real-world data of S/V use in HFrEF demonstrated a significant reduction in all-cause mortality and HF hospitalization.…”