بدائل البحث:
models algorithm » mould algorithm (توسيع البحث), deer algorithm (توسيع البحث)
method algorithm » mould algorithm (توسيع البحث)
using algorithm » cosine algorithm (توسيع البحث)
based models » based modeling (توسيع البحث)
models algorithm » mould algorithm (توسيع البحث), deer algorithm (توسيع البحث)
method algorithm » mould algorithm (توسيع البحث)
using algorithm » cosine algorithm (توسيع البحث)
based models » based modeling (توسيع البحث)
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181
Cuckoo search for portfolio optimization. (c2014)
منشور في 2014احصل على النص الكامل
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masterThesis -
182
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183
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184
Detecting sleep outside the clinic using wearable heart rate devices
منشور في 2022"…Personalized yet device-agnostic algorithms can sidestep laborious human annotations and objectify cross-cohort comparisons. …"
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185
Using artificial bee colony to optimize software quality estimation models. (c2015)
منشور في 2016"…We build our model using machine learning techniques in particular rule-based models. …"
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masterThesis -
186
Spectral energy balancing system with massive MIMO based hybrid beam forming for wireless 6G communication using dual deep learning model
منشور في 2024"…The proposed approach of DDN is trained with proper data sequences used for communication and the training phase is conducted with the norms of numerous channel variants. …"
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187
Scalable Nonparametric Supervised Learning for Streaming and Massive Data: Applications in Healthcare Monitoring and Credit Risk
منشور في 2025"…Additionally, an online classifier is developed for streaming data, combining online PCA with a kernel-based recursive classifier using a stochastic approximation algorithm. …"
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188
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 -
189
Sentiment Analysis of the Emirati Dialect text using Ensemble Stacking Deep Learning Models
منشور في 2023"…For the basic machine learning algorithms, LR, NB, SVM, RF, DT, MLP, AdaBoost, GBoost, and an ensemble model of machine learning classifiers were used. …"
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190
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191
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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احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل
conferenceObject -
192
Multi-Modal Emotion Aware System Based on Fusion of Speech and Brain Information
منشور في 2019"…For classifying unimodal data of either speech or EEG, a hybrid fuzzy c-means-genetic algorithm-neural network model is proposed, where its fitness function finds the optimal fuzzy cluster number reducing the classification error. …"
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193
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194
Blue collar laborers’ travel pattern recognition: Machine learning classifier approach
منشور في 2021"…The activity-based data from the travel diary of 1051 blue-collar workers collected by the Ministry of Transportation and Communication (MoTC) in Qatar was used for analysis. …"
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195
Scatter search metaheuristic for homology based protein structure prediction. (c2015)
منشور في 2015"…We assess our algorithm on a total of 11 proteins whose structures are present in the Protein Data Bank (PDB) and which has been used in previous literature. …"
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masterThesis -
196
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197
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198
Energy utilization assessment of a semi-closed greenhouse using data-driven model predictive control
منشور في 2021"…The proposed method consists of a multilayer perceptron model representing the greenhouse system integrated with an objective function and an optimization algorithm. The multilayer perceptron model is trained using historical data from the greenhouse with solar radiation, outside temperature, humidity difference, fan speed, HVAC control as the input parameters to predict the temperature. …"
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199
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200
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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