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dl processing » melt processing (توسيع البحث)
_ processing » _ process (توسيع البحث)
back » lack (توسيع البحث)
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A Deep Learning based Process Model for Crack Detection in Pavement Structures
منشور في 2022"…This paper presents an investigation of the effectiveness of a Machine Deep Learning (DL) model using Convolution Neural Networks (CNN) in detecting cracks in asphalt pavement. …"
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احصل على النص الكامل
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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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Learning-Based Space-Time Adaptive Processing
منشور في 2013الموضوعات: احصل على النص الكامل
doctoralThesis -
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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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Enhancing Students’ Learning and Engagement through Formative Assessment using Online Learning Tools
منشور في 2021الموضوعات: "…students’ learning…"
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Integrating rule-based approach and machine learning approach for arabic named entity recognition
منشور في 2012"…Most of Arabic NER systems have been developed using mainly two types of approaches including Rule-based approach and Machine Learning based approach. …"
احصل على النص الكامل
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Deep Learning for the Extraction of Aspects in Textual Opinions
منشور في 2023الموضوعات: "…aspect-based sentiment analysis, deep learning, sentiment analysis, natural language processing, Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), Graph Neural Networks (GNNs), rule-based methods, textual opinions…"
احصل على النص الكامل
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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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Con-Detect: Detecting adversarially perturbed natural language inputs to deep classifiers through holistic analysis
منشور في 2023"…Deep Learning (DL) algorithms have shown wonders in many Natural Language Processing (NLP) tasks such as language-to-language translation, spam filtering, fake-news detection, and comprehension understanding. …"
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل
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Machine learning based approaches for intelligent adaptation and prediction in banking business processes. (c2018)
منشور في 2018"…Companies, nowadays, rely on systems and applications to automate their business processes and data management. In this context, the notion of integrating machine learning techniques in banking business processes has emerged, where trainable computational algorithms can be improved by learning. …"
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل
masterThesis -
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Enhancing the learning-to-drive process for autistic learners in Qatar
منشور في 2024"…The study consisted of three progressive phases: (1) Assess driving instructors' prior knowledge and practices regarding autism and driving. (2) Explore driving instructors' knowledge on autism and driving before and after an evidence-based workshop. (3) Compare the learning-to-drive process for autistic learners following 28 days of driving lessons from trained driving instructors to non-trained driving instructors. …"
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Con-Detect: Detecting Adversarially Perturbed Natural Language Inputs to Deep Classifiers Through Holistic Analysis
منشور في 2023"…<p>Deep Learning (DL) algorithms have shown wonders in many Natural Language Processing (NLP) tasks such as language-to-language translation, spam filtering, fake-news detection, and comprehension understanding. …"
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Across the Spectrum In-Depth Review AI-Based Models for Phishing Detection
منشور في 2024"…The study reviews traditional phishing detection methods, ML and DL models, phishing datasets, and the step-by-step phishing process. …"