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ml processing » melt processing (توسيع البحث), _ processing (توسيع البحث)
back » lack (توسيع البحث)
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Detection of central serous retinopathy using deep learning through retinal images
منشور في 2023"…This research proposes a deep learning-based CSR detection employing two imaging techniques: OCT and fundus photography. …"
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A Deep Learning based Process Model for Crack Detection in Pavement Structures
منشور في 2022"…Pavement cracks have been studied for decades using traditional Machine Learning (ML) methods such as neural networks, genetic algorithms, fuzzy logic, etc. …"
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Using machine learning architecture to optimize and model the treatment process for saline water level analysis
منشور في 2023"…This research proposed a novel method for optimization and modelling of the treatment process for saline water based on water level data analysis using machine learning (ML) techniques. …"
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احصل على النص الكامل
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Feature modeling using polynomial classifiers and stepwise regression
منشور في 2010احصل على النص الكامل
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Salak Image Classification Method Based Deep Learning Technique Using Two Transfer Learning Models
منشور في 2022"…There are many techniques that can be used for fruit classification using computer vision technology. Deep learning is the most promising algorithm compared to another Machine Learning (ML) algorithm. …"
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Extreme Early Image Recognition Using Event-Based Vision
منشور في 2023"…<p dir="ltr">While deep learning algorithms have advanced to a great extent, they are all designed for frame-based imagers that capture images at a high frame rate, which leads to a high storage requirement, heavy computations, and very high power consumption. …"
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Faux-Data Injection Optimization for Accelerating Data-Driven Discovery of Materials
منشور في 2023"…We achieve this objective through a batch optimization technique based on faux-data injection in the BO loop. In the approach at each candidate suggestion from a typical BO loop, we “predict” the outcome, instead of running the actual experiment or DFT calculation, forming a “faux-data-point” and injecting it back to update an ML model. …"
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DiaNet: A Deep Learning Based Architecture to Diagnose Diabetes Using Retinal Images Only
منشور في 2021"…Comparing the performance of DiaNet against the existing clinical data-based machine learning models, we conclude that the retinal images contain sufficient information to distinguish the Qatari diabetes cohort from the control group. …"
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Deep learning and vision transformers-based framework for breast cancer and subtype identification
منشور في 2025"…The proposed deep learning-based framework for advanced breast cancer detection and subtype identification yielded promising results. …"
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Exploring Semi-Supervised Learning Algorithms for Camera Trap Images
منشور في 2022احصل على النص الكامل
doctoralThesis