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processing algorithm » processing algorithms (توسيع البحث)
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finding » findings (توسيع البحث)
processing algorithm » processing algorithms (توسيع البحث)
method algorithm » mould algorithm (توسيع البحث)
finding » findings (توسيع البحث)
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Online Recruitment Fraud (ORF) Detection Using Deep Learning Approaches
منشور في 2024"…<p dir="ltr">Most companies nowadays are using digital platforms for the recruitment of new employees to make the hiring process easier. The rapid increase in the use of online platforms for job posting has resulted in fraudulent advertising. …"
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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"…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. …"
احصل على النص الكامل
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185
Investigation of Forming a Framework to shortlist contractors in the tendering phase
منشور في 2022"…After obtaining the weights of the decision factors, a model using Machine Learning algorithm on Google Colab was written using the Python language. …"
احصل على النص الكامل
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186
Design Optimization of Inductive Power Transfer Systems Considering Bifurcation and Equivalent AC Resistance for Spiral Coils
منشور في 2020"…Equivalent AC resistance of spiral coils is modeled based on eddy currents simulations using Finite Element Method (FEM) and Maxwell simulator. Based on the FEM simulations, a new approximation method using separation of variables is proposed as a function of spiral coil's main parameters. …"
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187
Wearable wrist to finger photoplethysmogram translation through restoration using super operational neural networks based 1D-CycleGAN for enhancing cardiovascular monitoring
منشور في 2024"…<h3>Background and Motivations</h3><p dir="ltr">Physiological signals, such as the Photoplethysmogram (PPG) collected through wearable devices, consistently encounter significant motion artifacts. Current signal processing techniques, and even state-of-the-art machine learning algorithms, frequently struggle to effectively restore the inherent bodily signals amidst the array of randomly generated distortions. …"
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Digital twin in energy industry: Proposed robust digital twin for power plant and other complex capital-intensive large engineering systems
منشور في 2022"…Data-driven algorithms with capabilities to predict the system’s dynamic behavior still need to be developed. …"
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Adaptive Secure Pipeline for Attacks Detection in Networks with set of Distribution Hosts
منشور في 2022"…So far none addresses the use of Threat Intelligence (IT) data in Ensemble Learning algorithms to improve the detection process, nor does it work as a function of time, that is, taking into account what happens on the network in a limited time interval. …"
احصل على النص الكامل
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193
Enhancing Breast Cancer Diagnosis With Bidirectional Recurrent Neural Networks: A Novel Approach for Histopathological Image Multi-Classification
منشور في 2025"…<p dir="ltr">In recent years, deep learning methods have dramatically improved medical image analysis, though earlier models faced difficulties in capturing intricate spatial and contextual details. …"
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194
Multi Agent Reinforcement Learning Approach for Autonomous Fleet Management
منشور في 2019احصل على النص الكامل
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195
Artificial Intelligence Driven Smart Farming for Accurate Detection of Potato Diseases: A Systematic Review
منشور في 2024"…It has been learned that image-processing techniques overwhelm the existing research and have the potential to integrate meteorological data. …"
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196
Day-Ahead Load Demand Forecasting in Urban Community Cluster Microgrids Using Machine Learning Methods
منشور في 2022"…From the results, it is found that the Levenberg–Marquardt optimization algorithm-based ANN model gives the best electrical load forecasting results.…"
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197
A Novel Partitioned Random Forest Method-Based Facial Emotion Recognition
منشور في 2025"…The proposed method divides multiple regions (different data lengths) into the feature space, allowing the algorithm to learn more complex decision boundaries. …"
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198
A Cyber-Physical System and Graph-Based Approach for Transportation Management in Smart Cities
منشور في 2021"…To efficiently process the incoming big data streams, the proposed architecture uses the Apache GraphX tool with several parallel processing nodes, along with Spark and Hadoop that ultimately provide better performance against various state-of-the-art solutions. …"
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