بدائل البحث:
learning algorithm » learning algorithms (توسيع البحث)
method algorithm » mould algorithm (توسيع البحث)
using algorithm » cosine algorithm (توسيع البحث)
learning algorithm » learning algorithms (توسيع البحث)
method algorithm » mould algorithm (توسيع البحث)
using algorithm » cosine algorithm (توسيع البحث)
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261
Strategies for Reliable Stress Recognition: A Machine Learning Approach Using Heart Rate Variability Features
منشور في 2024"…This study employed supervised learning algorithms to classify stress and relaxation states using HRV measures. …"
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262
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263
Using artificial intelligence to improve body iron quantification: A scoping review
منشور في 2023"…A systematic search was performed to identify studies that utilize machine learning in iron-related disorders. The search revealed a wide range of machine learning algorithms used by different studies. …"
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264
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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265
Stochastic Search Algorithms for Exam Scheduling
منشور في 2007"…Then, we empirically compare the three proposed algorithms and FESP using realistic data. Our experimental results show that SA and GA produce good exam schedules that are better than those of FESP heuristic procedure. …"
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266
Unsupervised outlier detection in multidimensional data
منشور في 2022"…<p>Detection and removal of outliers in a dataset is a fundamental preprocessing task without which the analysis of the data can be misleading. Furthermore, the existence of anomalies in the data can heavily degrade the performance of machine learning algorithms. …"
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267
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268
Robust Control Of Sampled Data Systems
منشور في 2020"…They then present a numerical controller design algorithm based on the derived bounds. Examples are used for demonstration.…"
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269
Robust Control Of Sampled Data Systems
منشور في 2020"…They then present a numerical controller design algorithm based on the derived bounds. Examples are used for demonstration.…"
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270
Robust Control Of Sampled Data Systems
منشور في 2020"…They then present a numerical controller design algorithm based on the derived bounds.Examples are used for demonstration.…"
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271
Oversampling techniques for imbalanced data in regression
منشور في 2024"…For tabular data we conducted a comprehensive experiment using various models trained on both augmented and non-augmented datasets, followed by performance comparisons on test data. …"
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272
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273
Lung-EffNet: Lung cancer classification using EfficientNet from CT-scan images
منشور في 2023"…Considering these shortcomings, computational methods especially machine learning and deep learning algorithms are leveraged as an alternative to accelerate the accurate detection of CT scans as cancerous, and non-cancerous. …"
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274
A Novel Steganography Technique for Digital Images Using the Least Significant Bit Substitution Method
منشور في 2022"…<p>Communication has become a lot easier in this era of technology, development of high-speed computer networks, and the inexpensive uses of Internet. Therefore, data transmission has become vulnerable to and unsafe from different external attacks. …"
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275
Multi-Cluster Jumping Particle Swarm Optimization for Fast Convergence
منشور في 2020"…Keeping in view the need of an optimization algorithm with fast convergence speed, suitable for high dimensional data space, this article proposes a novel concept of Multi-Cluster Jumping PSO. …"
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276
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277
Estimation of the methanol loss in the gas hydrate prevention unit using the artificial neural networks: Investigating the effect of training algorithm on the model accuracy
منشور في 2023"…Adjusting the weight and bias of the ANN model using an optimization algorithm is known as the training process. …"
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278
Adaptive Federated Learning Architecture To Mitigate Non-IID Through Multi-Objective GA-Based Efficient Client Selection
منشور في 2024"…In this paper, we propose a novel approach that incorporates genetic algorithms with an enhanced client selection strategy, utilizing client metadata rather than raw data. …"
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masterThesis -
279
Data Redundancy Management in Connected Environments
منشور في 2020"…., building) equipped with sensors that produce and exchange raw data. Although the sensed data is considered to contain useful and valuable information, yet it might include various inconsistencies such as data redundancies, anomalies, and missing values. …"
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conferenceObject -
280
Android Malware Detection Using Machine Learning
منشور في 2024"…Detecting and preventing malware is crucial for several reasons, including the security of personal information, data loss and tampering, system disruptions, financial losses, and reputation damage. …"
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article