بدائل البحث:
ml processing » melt processing (توسيع البحث), _ processing (توسيع البحث), image processing (توسيع البحث)
learning ml » learning _ (توسيع البحث)
back » lack (توسيع البحث)
ml processing » melt processing (توسيع البحث), _ processing (توسيع البحث), image processing (توسيع البحث)
learning ml » learning _ (توسيع البحث)
back » lack (توسيع البحث)
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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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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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احصل على النص الكامل
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3
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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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. …"
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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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Integration of machine learning and digital twin in additive manufacturing of polymeric-based materials and products
منشور في 2025"…In recent years, machine learning (ML) has increasingly been adopted in AM to support tasks, such as predicting material behavior, detecting defects, and designing composites for specific performance targets. …"
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A systematic review of recent advances in the application of machine learning in membrane-based gas separation technologies
منشور في 2024"…<p dir="ltr">Machine learning (ML) has proven to be an effective tool for accelerating the discovery of high-performance <u>polymeric membranes</u> and materials for gas separation. …"
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A Novel Partitioned Random Forest Method-Based Facial Emotion Recognition
منشور في 2025"…The rapid development of intelligent technologies has led researchers to strive to improve facial emotion recognition techniques. A range of machine learning (ML) methods can be used to recognize facial expressions based on data from small to large datasets. …"
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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...
منشور في 2020"…Machine Learning (ML) saw a great increase in general and domain specific research. …"
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Cyberbullying Detection in Arabic Text using Deep Learning
منشور في 2023"…Data-driven approaches, such as machine learning (ML), particularly deep learning (DL), have shown promising results. …"
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18
Role and Applications of Artificial Intelligence and Machine Learning in Manufacturing Engineering
منشور في 2024"…The use of artificial intelligence (AI), machine learning (ML), embedded systems, cloud computing, Big Data, and the Internet of Things (IoT) is influencing the paradigm shift toward advanced technologies and highly efficient manufacturing processes in Industry 4.0. …"
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19
Sentiment Analysis for Arabic Social media Movie Reviews Using Deep Learning
منشور في 2022"…Prior to performing sentiment analysis, it is necessary to prepare the data so that it may be used to train machine learning (ML) algorithms. In order to label the data that was gathered from a corpus collection for ML use, manual annotation was made. …"
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20
Collaborative Federated Learning for Healthcare: Multi-Modal COVID-19 Diagnosis at the Edge
منشور في 2022"…In this paper, we leverage the capabilities of edge computing in medicine by evaluating the potential of intelligent processing of clinical data at the edge. We utilized the emerging concept of clustered federated learning (CFL) for an automatic COVID-19 diagnosis. …"