ON-LINE IDENTIFICATION AND CONTROL THROUGH SERIES CONVERTER VOLTAGE OF A UNIFIED POWER FLOW CONTROLLER حسب Rahim, A.H.M.A

"…The plant parameters are identified through a regressive least square algorithm and the stabilizing control is derived through a pole-shifting technique using the adaptive plant model. …"
احصل على النص الكامل

Validation of plasma protein glycation and oxidation biomarkers for the diagnosis of autism حسب Aisha Nasser J. M. Al-Saei (17885957)

"…We conclude that ASD diagnosis may be supported using an algorithm with features of plasma protein CML, CMA, 3DG-H and DT in 5–12 years-old children, and an algorithm with additional features applicable for ASD screening in younger children. …"

Robust Control Of Sampled Data Systems حسب AL-Sunni, Fouad

"…They then present a numerical controller design algorithm based on the derived bounds. Examples are used for demonstration.…"
احصل على النص الكامل

Robust Control Of Sampled Data Systems حسب AL-Sunni, Fouad

"…They then present a numerical controller design algorithm based on the derived bounds. Examples are used for demonstration.…"
احصل على النص الكامل

Robust Control Of Sampled Data Systems حسب AL-Sunni, Fouad

"…They then present a numerical controller design algorithm based on the derived bounds.Examples are used for demonstration.…"
احصل على النص الكامل

Iterative Least Squares Functional Networks Classifier حسب Faisal, Kanaan A

"…Both methodology and learning algorithm for this kind of computational intelligence classifier using the iterative least squares optimization criterion are derived. …"
احصل على النص الكامل
احصل على النص الكامل

STEM: spatial speech separation using twin-delayed DDPG reinforcement learning and expectation maximization حسب Muhammad Salman Khan (7202543)

"…<p>Although many high-performing speech separation models have been proposed recently, little attention has been paid to making them lightweight. In this paper, a novel speech separation algorithm is proposed that integrates the twin-delayed deep deterministic (TD3) policy gradient reinforcement learning (RL) agent with the expectation maximization (EM) algorithm for clustering the spatial cues of individual sources separated on azimuth. …"

A nash bargaining solution for energy-efficient content distribution over wireless networks with mobile-to-mobile cooperation حسب Yaacoub, Elias

"…Using the appropriate utilities, the proposed algorithm is used to implement both the proposed solution in addition to the greedy energy minimization solution. …"
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل

Autonomous Robot Navigation Based On Recurrent Neural Networks حسب Al-Sagban, Mariam Qusai

احصل على النص الكامل

Inertial Navigation system of In-pipe Inspection Robot حسب Al-Masri, Wasim

احصل على النص الكامل

Improving INS/GPS Integration for Mobile Robotics Applications حسب AbuHashim, Tariq Salman

احصل على النص الكامل

Enhancement of power system dynamic performance through an on-line self-tuning adaptive SVC controller حسب Rahim, A.H.M.A.

"…Use of a self-tuning adaptive control algorithm as a supplementary controller for the SVC is presented in this article. …"
احصل على النص الكامل

Estimating Bridge Deterioration Age Using Artificial Neural Networks حسب AL HUSSEIN, ASEEL

احصل على النص الكامل

An Artificial Intelligence Approach for Predictive Maintenance in Electronic Toll Collection System حسب Alkhatib, Osama

"…Historical data of Dubai Toll Collection System is utilized to investigate multiple machine learning algorithms. Experiment is performed using Azure Machine Learning (ML) platform to test and assess the most efficient model that would predict the failure of system elements and predict the abnormality of the operation. …"
احصل على النص الكامل

Innovative mobile E-healthcare systems حسب Haraty, Ramzi A.

"…Caching is one of the key methods in distributed computing environments to improve the performance of data retrieval. To find which item in the cache can be evicted and replaced, cache replacement algorithms are used. …"
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل

Prediction of Multiple Clinical Complications in Cancer Patients to Ensure Hospital Preparedness and Improved Cancer Care حسب Regina Padmanabhan (14231606)

"…The XGboost algorithm is suggested from 10-fold cross-validation on 6 candidate models. …"

Predicting COVID-19 cases using bidirectional LSTM on multivariate time series حسب Ahmed Ben Said (14158926)

"…Unlike other forecasting techniques, our proposed approach first groups the countries having similar demographic and socioeconomic aspects and health sector indicators using K-means clustering algorithm. The cumulative case data of the clustered countries enriched with data related to the lockdown measures are fed to the bidirectional LSTM to train the forecasting model. …"

Interpreting patient-Specific risk prediction using contextual decomposition of BiLSTMs: application to children with asthma حسب Rawan AlSaad (14159019)

"…<h3>Background</h3><p dir="ltr">Predictive modeling with longitudinal electronic health record (EHR) data offers great promise for accelerating personalized medicine and better informs clinical decision-making. …"

Plant disease detection using drones in precision agriculture حسب Ruben Chin (17725986)

"…Color-infrared (CIR) images are the most preferred data used and field images are the main focus. The machine learning algorithm applied most is convolutional neural network (CNN). …"

A forward-backward Kalman for the estimation of time-variant channels in OFDM حسب Al-Naffouri, T.Y.

"…In this paper, we propose an expectation-maximization (EM) algorithm for joint channel and data recovery. The algorithm makes use of the rich structure of the underlying communication problem-a structure induced by the data and channel constraints. …"
احصل على النص الكامل
احصل على النص الكامل