بدائل البحث:
complex classification » image classification (توسيع البحث)
data classification » image classification (توسيع البحث), _ classification (توسيع البحث), text classification (توسيع البحث)
code » mode (توسيع البحث), core (توسيع البحث)
complex classification » image classification (توسيع البحث)
data classification » image classification (توسيع البحث), _ classification (توسيع البحث), text classification (توسيع البحث)
code » mode (توسيع البحث), core (توسيع البحث)
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Unsupervised Deep Learning for Classification Of Bats Calls Using Acoustic Data
منشور في 2021احصل على النص الكامل
doctoralThesis -
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Data Embedding in Scrambled Video by Rotating Motion Vectors
منشور في 2022احصل على النص الكامل
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Gene selection for microarray data classification based on Gray Wolf Optimizer enhanced with TRIZ-inspired operators
منشور في 2021"…However, gene expression data is characterized as a high dimensional data that typically encompassed of redundant, noisy, and irrelevant genes. …"
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UniBFS: A novel uniform-solution-driven binary feature selection algorithm for high-dimensional data
منشور في 2024"…<p>Feature selection (FS) is a crucial technique in machine learning and data mining, serving a variety of purposes such as simplifying model construction, facilitating knowledge discovery, improving computational efficiency, and reducing memory consumption. …"
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Oversampling techniques for imbalanced data in regression
منشور في 2024"…<p>Our study addresses the challenge of imbalanced regression data in Machine Learning (ML) by introducing tailored methods for different data structures. …"
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Analysing Satellite Imagery Classification under Spatial Domain Shift across Geographic Regions
منشور في 2025"…Domain Generalisation (DG) aims to bridge the distribution shift between the source and target domains by improving the generalisability of the model to Out-Of-Distribution (OOD) data. This challenge is prominent in satellite imagery classification due to the scarcity of data from underrepresented regions such as Africa and Oceania. …"
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LncRNA-Based Classification of Triple Negative Breast Cancer Revealed Inherent Tumor Heterogeneity and Vulnerabilities
منشور في 2022"…Our data revealed a novel lncRNA-based classification of TNBC and suggested their potential utilization as disease biomarkers and therapeutic targets.…"
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An IoT System Using Deep Learning to Classify Camera Trap Images on the Edge
منشور في 2022"…Second, due to manual coding, the results are often stale by the time they get to the ecologists. …"
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Improving clinical documentation: automatic inference of ICD-10 codes from patient notes using BERT model
منشور في 2023"…Electronic health records provide a vast amount of text health data written by physicians as patient clinical notes. …"
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Data Embedding and Extraction in Scrambled Video using Machine Learning
منشور في 2020احصل على النص الكامل
doctoralThesis -
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HistoMSC: Density and topology analysis for AI-based visual annotation of histopathology whole slide images
منشور في 2025"…Our method integrates deep learning models to achieve precise localization and classification of cell nuclei with spatial data aggregation to extend classes of sparsely distributed nuclei across the entire slide. …"
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Dynamic model scaling based on segmented tumor size for breast cancer detection
منشور في 2025"…This study introduces an adaptive method that intelligently matches model complexity to tumor characteristics by integrating a Denoising Diffusion Probabilistic Model (DDPM), a generative model that iteratively improves segmentation accuracy by progressively removing noise, for tumor region segmentation with a range of EfficientNet architectures for classification. …"
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Measuring the availability of human resources for health and its relationship to universal health coverage for 204 countries and territories from 1990 to 2019: a systematic analysi...
منشور في 2022"…From the WHO National Health Workforce Accounts, we identified 2950 country-years of data. We mapped data from all occupational coding systems to the International Standard Classification of Occupations 1988 (ISCO-88), allowing for standardised estimation of densities for 16 categories of health workers across the full time series. …"
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Optimization of the Energy Performance in the Hospitality Sector in UAE by Using the Integrated Control Methodology in the Guestrooms
منشور في 2014"…This research focuses on developing several criteria such as; the hotel’s gross floor area, star classification, building age, occupancy rate, guestrooms number, construction code and regulation and cooling energy source, to appraise the hotel building energy consumption with, by gathering a real energy data and basic building information, normalization of energy use index and analyze these data statistically to ascertain the expected energy performance and consumption in UAE. …"
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SOME OBSERVATIONS ON PRESSURE DISTRIBUTION AND DIE FAILURE MODES IN HOT EXTRUSION
منشور في 2020"…Extrusion is listed as a compressive deformation process in the classification of deformation practices given under DIN 8582 and 8583, and is usually carried out as a discontinuous process. …"
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A decomposition-based hybrid ensemble CNN framework for driver fatigue recognition
منشور في 2023"…Several decomposition methods have been attempted to analyze the EEG signals that are complex, nonlinear and non-stationary and improve the EEG decoding performance in different applications. …"
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Real-time AI-based inference of people gender and age in highly crowded environments
منشور في 2023"…The overall system has been validated for various movies and has shown state-of-the-art performance in terms of people tracking, gender and age inference. Our code, models, and data can be found at https://github.com/jasseur2017/people_gender_age.…"