بدائل البحث:
modeling algorithm » scheduling algorithm (توسيع البحث)
learning algorithm » learning algorithms (توسيع البحث)
data algorithm » jaya algorithm (توسيع البحث), deer algorithm (توسيع البحث)
data learning » deep learning (توسيع البحث)
modeling algorithm » scheduling algorithm (توسيع البحث)
learning algorithm » learning algorithms (توسيع البحث)
data algorithm » jaya algorithm (توسيع البحث), deer algorithm (توسيع البحث)
data learning » deep learning (توسيع البحث)
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Wind, Solar, and Photovoltaic Renewable Energy Systems with and without Energy Storage Optimization: A Survey of Advanced Machine Learning and Deep Learning Techniques
منشور في 2022"…This paper covered the most resent and important researchers in the domain of renewable problems using the learning-based methods. Various types of Deep Learning (DL) and Machine Learning (ML) algorithms employed in Solar and Wind energy supplies are given. …"
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63
A Fast and Robust Gas Recognition Algorithm Based on Hybrid Convolutional and Recurrent Neural Network
منشور في 2019"…Featuring the capability of learning the correlations of time-series data, the proposed deep learning method is well-suited for extracting the valuable transient feature contained in the very beginning of the response curve. …"
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The effects of data balancing approaches: A case study
منشور في 2023"…<p dir="ltr">Imbalanced datasets affect the performance of machine learning algorithms adversely. To cope with this problem, several resampling methods have been developed recently. …"
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Salak Image Classification Method Based Deep Learning Technique Using Two Transfer Learning Models
منشور في 2022"…Deep learning is the most promising algorithm compared to another Machine Learning (ML) algorithm. …"
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The unified effect of data encoding, ansatz expressibility and entanglement on the trainability of HQNNs
منشور في 2023"…However, the integration of quantum computing and machine learning poses several challenges. One of the prominent challenges lies in the presence of barren plateaus (BP) in QML algorithms, particularly in quantum neural networks (QNNs). …"
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Prediction of pressure gradient for oil-water flow: A comprehensive analysis on the performance of machine learning algorithms
منشور في 2022"…This study aims to develop five robust machine learning (ML) algorithms and their fusions for a wide range of flow patterns (FP) regimes. …"
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69
Distributed Tree-Based Machine Learning for Short-Term Load Forecasting With Apache Spark
منشور في 2021"…<p>Machine learning algorithms have been intensively applied to perform load forecasting to obtain better accuracies as compared to traditional statistical methods. …"
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Integration of Textural and Material Information into BIM Using Spectrometry and Infrared Sensing
منشور في 2015احصل على النص الكامل
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Machine learning and structural health monitoring overview with emerging technology and high-dimensional data source highlights
منشور في 2021"…Machine learning (ML) algorithms are thus providing the necessary tools to augment the capabilities of SHM systems and provide intelligent solutions for the challenges of the past. …"
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73
Machine Learning Approach for the Design of an Assessment Outcomes Recommendation System
منشور في 2021"…We research and test the design of the right neural networks that achieves our goal. A modern algorithm was improvised for this reason. For our proposed recommendation system, a database program was created to store data and include details in the analysis of course learning outcomes. …"
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74
Deep Neural Networks for Electromagnetic Inverse Scattering Problems in Microwave Imaging
منشور في 2023احصل على النص الكامل
doctoralThesis -
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The automation of the development of classification models and improvement of model quality using feature engineering techniques
منشور في 2023"…<p>Recently pipelines of machine learning-based classification models have become important to codify, orchestrate, and automate the workflow to produce an effective machine learning model. …"
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Single channel speech denoising by DDPG reinforcement learning agent
منشور في 2025"…In this paper, a novel SD algorithm is presented based on the deep deterministic policy gradient (DDPG) agent; an off-policy reinforcement learning (RL) agent with a continuous action space. …"