بدائل البحث:
method algorithm » mould algorithm (توسيع البحث)
models algorithm » mould algorithm (توسيع البحث), deer algorithm (توسيع البحث)
based models » based modeling (توسيع البحث)
element » elements (توسيع البحث)
method algorithm » mould algorithm (توسيع البحث)
models algorithm » mould algorithm (توسيع البحث), deer algorithm (توسيع البحث)
based models » based modeling (توسيع البحث)
element » elements (توسيع البحث)
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162
Deep learning-based user experience evaluation in distance learning
منشور في 2023"…Long short term memory-based sentiment analysis model using word2vec embedding was used to evaluate the opinions of Twitter users during distance education and also, a topic model using the LDA algorithm was built to identify the discussed topics in Twitter. …"
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163
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164
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"…Nowadays, learning-based modeling methods are utilized to build a precise forecast model for renewable power sources. …"
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165
Cuckoo search for portfolio optimization. (c2014)
منشور في 2014احصل على النص الكامل
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masterThesis -
166
Design of adaptive arrays based on element position perturbations
منشور في 1993"…The main advantage of using this technique over the other commonly used methods is that the amplitudes and phases of the array elements can be used mainly to steer the main beam towards the desired signal. …"
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article -
167
Autonomous 3D Deployment of Aerial Base Stations in Wireless Networks with User Mobility
منشور في 2019"…We present performance results for the algorithm as a function of various system parameters assuming a random walk mobility model. …"
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conferenceObject -
168
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169
Delay Optimization in LoRaWAN by Employing Adaptive Scheduling Algorithm With Unsupervised Learning
منشور في 2023الموضوعات: -
170
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171
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172
Enhanced Deep Belief Network Based on Ensemble Learning and Tree-Structured of Parzen Estimators: An Optimal Photovoltaic Power Forecasting Method
منشور في 2021"…The proposed forecasting tool incorporates a base model and meta-model layers. The first-layer base learner combines extreme learning machines, extremely randomized trees, k-nearest neighbor, and mondrian forest models. …"
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173
Ensemble-Based Spam Detection in Smart Home IoT Devices Time Series Data Using Machine Learning Techniques
منشور في 2020"…A spamicity score was awarded to each of the IoT devices by the algorithm, based on the feature importance and the root mean square error score of the machine learning models to determine the trustworthiness of the device in the home network. …"
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174
Salak Image Classification Method Based Deep Learning Technique Using Two Transfer Learning Models
منشور في 2022"…Pre-processing on the dataset is required to standardize the dataset by resizing the image into 224 * 224 pixels, convert into jpg format and augmentation. Based on the accuracy result from the model, the best model for the salak classification is ResNet50 which gave an accuracy of 84% followed by VGG16 that gave an accuracy of 77% and CNN which gave 31%.…"
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175
Learning-Based Spectrum Sensing and Access for Cognitive Radio Systems
منشور في 2015احصل على النص الكامل
doctoralThesis -
176
A Novel Internal Model Control Scheme for Adaptive Tracking of Nonlinear Dynamic Plants
منشور في 2006"…The U-model utilizes only past data for plant modelling and standard root solving algorithm for control law formulation. …"
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article -
177
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178
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179
Full-fledged semantic indexing and querying model designed for seamless integration in legacy RDBMS
منشور في 2018"…To do so, we design and construct a semantic-aware inverted index structure called SemIndex, extending the standard inverted index by constructing a tightly coupled inverted index graph that combines two main resources: a semantic network and a standard inverted index on a collection of textual data. We then provide a general keyword query model with specially tailored query processing algorithms built on top of SemIndex, in order to produce semantic-aware results, allowing the user to choose the results' semantic coverage and expressiveness based on her needs. …"
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article -
180
Predicting the Heats of Fusion of Ionic Liquids via Group Contribution Modeling and Machine Learning
منشور في 2022احصل على النص الكامل
doctoralThesis