بدائل البحث:
modeling algorithm » scheduling algorithm (توسيع البحث)
predicted using » prediction using (توسيع البحث)
using algorithm » cosine algorithm (توسيع البحث)
rf algorithm » rd algorithm (توسيع البحث), _ algorithms (توسيع البحث)
elements rf » elements _ (توسيع البحث)
modeling algorithm » scheduling algorithm (توسيع البحث)
predicted using » prediction using (توسيع البحث)
using algorithm » cosine algorithm (توسيع البحث)
rf algorithm » rd algorithm (توسيع البحث), _ algorithms (توسيع البحث)
elements rf » elements _ (توسيع البحث)
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1
Prediction of EV Charging Behavior Using Machine Learning
منشور في 2021"…However, variables such as weather, traffic, and nearby events, which have been neglected to a large extent, can perhaps add meaningful representations, and provide better predictions. Therefore, in this paper we propose the usage of historical charging data in conjunction with weather, traffic, and events data to predict EV session duration and energy consumption using popular machine learning algorithms including random forest, SVM, XGBoost and deep neural networks. …"
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3
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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Nonlinear predictive control using genetic algorithms
منشور في 2001احصل على النص الكامل
masterThesis -
6
Developing a UAE-Based Disputes Prediction Model using Machine Learning
منشور في 2022احصل على النص الكامل
doctoralThesis -
7
Prediction of biogas production from chemically treated co-digested agricultural waste using artificial neural network
منشور في 2020"…<p dir="ltr">The present study evaluates the effect of co-digestion of agricultural solid wastes (ASWs), cow manure (CM), and the application of chemical pre-treatment with NaHCO<sub>3</sub> on the performance of anaerobic digestion (AD) process. An Artificial neural network (ANN) algorithm was developed to model and optimize the cumulative methane production (CMP) from ASWs, CM, and their mixture under mesophilic and thermophilic conditions. …"
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8
Wild Blueberry Harvesting Losses Predicted with Selective Machine Learning Algorithms
منشور في 2022"…The outcomes revealed that these ML algorithms can be useful in predicting ground losses during wild blueberry harvesting in the selected fields.…"
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A machine learning model for early detection of diabetic foot using thermogram images
منشور في 2021"…A comparatively shallow CNN model, MobilenetV2 achieved an F1 score of ∼95% for a two-feet thermogram image-based classification and the AdaBoost Classifier used 10 features and achieved an F1 score of 97%. …"
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10
Prediction of pressure gradient for oil-water flow: A comprehensive analysis on the performance of machine learning algorithms
منشور في 2022"…A Friedman's test and Wilcoxon Sign-Rank post hoc analysis with Bonferroni correction show that PG prediction errors using GP are significantly lower than using the ANN model (p < 0.05). …"
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11
Cryptocurrency Exchange Market Prediction and Analysis Using Data Mining and Artificial Intelligence
منشور في 2020"…To which extend can we predict Cryptocurrency exchange market prices using well known prediction algorithms? …"
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12
Use-Case Based Early Software Effort Prediction using Fuzzy Logic and Genetic Algorithms
منشور في 2020احصل على النص الكامل
masterThesis -
13
Predictive Model of Psychoactive Drugs Consumption using Classification Machine Learning Algorithms
منشور في 2023"…For a police purpose that concerned with the protection of individuals, the problem of predicting drug abusing is highly important. A dataset was used from open-source website UCI, that includes specific attributes about using up of eighteen different psychoactive drugs. …"
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14
Prediction the performance of multistage moving bed biological process using artificial neural network (ANN)
منشور في 2020"…To cope with this difficult task and perform an effective and well-controlled BP operation, an artificial neural network (ANN) algorithm was developed to simulate, model, and control a three-stage (anaerobic/anoxic and MBBR) enhanced nutrient removal biological process (ENR-BP) challenging real wastewater. …"
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15
An Effective Hybrid NARX-LSTM Model for Point and Interval PV Power Forecasting
منشور في 2021الموضوعات: -
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Evolutionary algorithm for protein structure prediction
منشور في 2010احصل على النص الكامل
احصل على النص الكامل
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احصل على النص الكامل
conferenceObject -
17
A neural networks algorithm for data path synthesis
منشور في 2003"…The algorithm is driven by a motion equation that determines the neurons firing conditions based on the modified Hopfield neural network model of computation. …"
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احصل على النص الكامل
احصل على النص الكامل
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One-Hour-Ahead Wind Power Forecast Using Hybrid Grey Models
منشور في 2016"…These techniques are combined with ARMA models and nonlinear autoregressive neural network (NARnet) models, respectively. …"
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20
Predicting Plasma Vitamin C Using Machine Learning
منشور في 2022"…The objective of this study is to predict plasma vitamin C using machine learning. The NHANES dataset was used to predict plasma vitamin C in a cohort of 2952 American adults using regression algorithms and clustering in a way that a hypothetical health application might. …"