Modelling Exchange Rates during Currency Crisis using Neural Networks حسب Nasr, G. E.

"…This paper presents an artificial neural network (ANN) approach to the forecasting of exchange rate movements during periods of currency crises characterized by excessive volatility. The models are built using the feedforward ANN structure trained by the backpropagation algorithm. …"
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل

Modeling and Bias-Robust Estimation of the Acoustic Release of Chemotherapeutics from Liposomes حسب Wadi, Ali

"…The results suggest that the proposed algorithm, the optimal Kalman filter, performs well in modeling acoustically activated drug release from liposomes.…"
احصل على النص الكامل

Deep learning-based user experience evaluation in distance learning حسب Rahim Sadigov (17714301)

Wind, Solar, and Photovoltaic Renewable Energy Systems with and without Energy Storage Optimization: A Survey of Advanced Machine Learning and Deep Learning Techniques حسب Abu Zitar, Raed

"…Nowadays, learning-based modeling methods are utilized to build a precise forecast model for renewable power sources. …"
احصل على النص الكامل

A Hybrid Fault Detection and Diagnosis of Grid-Tied PV Systems: Enhanced Random Forest Classifier Using Data Reduction and Interval-Valued Representation حسب Khaled Dhibi (16891524)

"…In the proposed FDD approach, named interval reduced kernel PCA (IRKPCA)-based Random Forest (IRKPCA-RF), the feature extraction and selection phase is performed using the IRKPCA models while the fault classification is ensured using the RF algorithm. …"

Development of Machine Learning Models for Studying the Premixed Turbulent Combustion of Gas-To-Liquids (GTL) Fuel Blends حسب Abdellatif M. Sadeq (16931841)

"…Based on previous 3D numerical analyses, this study aims to develop data-driven machine learning (ML) models for predicting the flame radius evolution and turbulent flame speeds for diesel, gas-to-liquids (GTL), and their 50/50 blend (by volumetric composition) under different thermodynamic and turbulence operating conditions. …"

Identification of errors-in-variables model with observation outliers based on Minimum-Covariance-Determinant حسب ALMutawa, J.

"…In this paper, we develop a subspace system identification algorithm for the errors-in-variables (EIV) model subject to observation noise with outliers. …"
احصل على النص الكامل
احصل على النص الكامل

Design of adaptive arrays based on element position perturbations حسب Dawoud, M.M.

"…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. …"
احصل على النص الكامل
احصل على النص الكامل

A Biologicaly Inspired Decision Model for Multivariable Genetic- Fuzzy-AHP System حسب Kouatli, Issam

احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل

AI-based remaining useful life prediction and modelling of seawater desalination membranes حسب Al Ali, Fajer

احصل على النص الكامل

Developing a UAE-Based Disputes Prediction Model using Machine Learning حسب Abu Laila, Ibrahim Wasef Subhi

احصل على النص الكامل

The use of multi-task learning in cybersecurity applications: a systematic literature review حسب Shimaa Ibrahim (22155739)

"…Cybersecurity has become vital in information technology, with data protection being a major priority. Despite government and corporate efforts, cybersecurity remains a significant concern. …"

Decomposition-based wind power forecasting models and their boundary issue: An in-depth review and comprehensive discussion on potential solutions حسب Yinsong Chen (16685508)

"…<p>Recently, numerous forecasting models have been reported in the wind power forecasting field, aiming for reliable integration of renewable energy into the electric grid. …"

An Event-Triggered Robust Attitude Control of Flexible Spacecraft With Modified Rodrigues Parameters Under Limited Communication حسب Syed Muhammad Amrr (16855557)

From low-cost sensors to high-quality data: A summary of challenges and best practices for effectively calibrating low-cost particulate matter mass sensors حسب Michael R. Giordano (9976173)

"…The methods for correcting and calibrating these biases and dependencies that have been used in the literature likewise range from simple linear and quadratic models to complex machine learning algorithms. Here we review the needs and challenges when trying to get high-quality data from low-cost sensors. …"

Stacking-based ensemble learning for remaining useful life estimation حسب Begum Ay Ture (17773170)

Energy-aware adaptive compression for mobile devices. (c2009) حسب Maddah, Rakan

احصل على النص الكامل
احصل على النص الكامل

Practical Multiple Node Failure Recovery in Distributed Storage Systems حسب Itani, M.

"…The problem is solved using genetic algorithms that search within the feasible solution space. …"
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل

A Novel Internal Model Control Scheme for Adaptive Tracking of Nonlinear Dynamic Plants حسب Khan, T.

"…The U-model utilizes only past data for plant modelling and standard root solving algorithm for control law formulation. …"
احصل على النص الكامل
احصل على النص الكامل

Modelling surface currents in the Eastern Levantine Mediterranean using surface drifters and satellite altimetry حسب Issa, Leila

"…We present a new and fast method that blends altimetric and drifter positions data in order to predict the surface velocity in the Eastern Levantine Mediterranean. …"
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل