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Foreign Aid and the Quest for Poverty Reduction: Is Aid to Agriculture Effective?
Published 2013“…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
Published 2019“…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. …”
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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...
Published 2020“…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
Published 2020“…Simulated, one-look and multilook real PolSAR data were used for validation.…”
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Correlating process parameters to thrust forces and torque in the friction stir processing of AZ31B
Published 2014“…The thrust force increased while the torque decreased as the tool rotational speed increased. …”
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Scalable Nonparametric Supervised Learning for Streaming and Massive Data: Applications in Healthcare Monitoring and Credit Risk
Published 2025“…<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”. …”
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Zooming Into Clarity: Image Denoising Through Innovative Autoencoder Architectures
Published 2024“…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). …”
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Nurse-Led System-wide Unit-based Hospital Acquired Pressure Injury (HAPI) Reduction Project
Published 2024“…A retrospective data analysis identified issues such as knowledge gaps, lack of continuity of care, and nursing practice variations. …”
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Breastfeeding is associated with reduction in postpartum depression in the United Arab Emirates: a retrospective cross-sectional study
Published 2025“…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.…”
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Allocating data to multicomputer nodes by physical optimization algorithms for loosely synchronous computations
Published 1992“…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
Published 2025“…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
Published 2022“…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.…”
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Gene expression data analysis identifies multiple deregulated pathways in patients with asthma
Published 2018“…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. …”
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Autocleandeepfood: auto-cleaning and data balancing transfer learning for regional gastronomy food computing
Published 2024“…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. …”
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Data-driven robust model predictive control for greenhouse temperature control and energy utilisation assessment
Published 2023“…<p dir="ltr">The greenhouse microclimate, especially temperature, is highly complex, and controlling it requires significant resources due to the greenhouses' inefficient design. …”