Multidimensional Gains for Stochastic Approximation by Saab, Samer S.

Get full text
Get full text
Get full text
Get full text

The Role of Artificial Intelligence in Decoding Speech from EEG Signals: A Scoping Review by Uzair Shah (15740699)

“…The most common signal normalization and feature extractions in the included studies were the bandpass filter and wavelet-based feature extraction. We categorized the studies based on AI techniques, such as machine learning and deep learning. …”

A fuzzy basis function network for generator excitation control by Abido, M.A.

“…The proposed FBFN is trained over a wide range of operating conditions in order to re-tune the PSS parameters in real-time based on generator loading conditions. The orthogonal least squares learning algorithm is developed for designing an adequate and parsimonious FBFN model. …”
Get full text
Get full text

Adaptive PID Controller for a Non Linear Pendulum System Using Recurrent Neural Networks by Jafari, Reza

Get full text

Application of Metastructures for Targeted Low-Frequency Vibration Suppression in Plates by Ratiba F. Ghachi (14152455)

“…The thin plate and the zigzag cutouts are modelled using the finite element method, and the optimal location and optimal tip mass of the zigzag cutouts are obtained using genetic algorithms through iterative simulations. …”

A hybrid neuro-fuzzy power system stabilizer for multimachine powersystems by Abido, M.A.

“…The proposed FBFN is trained over a wide range of operating conditions in order to re-tune the PSS parameters in real-time based on machine loading conditions. The orthogonal least squares (OLS) learning algorithm is developed for designing an adequate and parsimonious FBFN model. …”
Get full text
Get full text

Automation of the Arabic sign language recognition by Mohandes, M.

“…This paper introduces a system to recognize the Arabic sign language using an instrumented glove and a machine learning method. Interfaces in sign language systems can be categorized as direct-device or vision-based. …”
Get full text
Get full text

A Full-System Approach of the Elastohydrodynamic Line/Point Contact Problem by Habchi, Wassim

“…The use of the finite element method allows the use of variable unstructured meshing and different types of elements within the same model which leads to a reduced size of the problem. …”
Get full text
Get full text
Get full text

Predicting stability of classes in an object-oriented system by Azar, D.

“…We compare our results to the machine learning algorithm C4.5, and we show that our approach out-beats it.…”
Get full text
Get full text
Get full text

Intelligent route to design efficient CO₂ reduction electrocatalysts using ANFIS optimized by GA and PSO by Majedeh Gheytanzadeh (17541927)

“…Considering the high cost and time-consuming experimental investigations, computational methods, particularly machine learning algorithms, can be the appropriate approach for efficiently screening the metal alloys as the electrocatalysts. …”

Computer-aided detection of Melanoma using geometric features by Azar, Danielle

“…The k-Nearest Neighbors (k-NN) machine learning algorithm is used to classify 15 lesions based on their ABD features. …”
Get full text
Get full text
Get full text
Get full text

Modeling and Control of Nonlinear Systems Using Wavelet Networks by Hassouneh, Wissam

Get full text

Performance Analysis of Artificial Neural Networks in Forecasting Financial Time Series by Lasfer, Assia

Get full text

SDODV. (c2018) by Assi, Maram

“…It monitors the traffic load, nodes mobility, neighborhood density and battery power to adjust the routing of packets accordingly. This protocol is based on the distributed reinforcement learning approach and on the traditional AODV. …”
Get full text
Get full text
Get full text

Making progress with the automation of systematic reviews: principles of the International Collaboration for the Automation of Systematic Reviews (ICASR) by Elaine Beller (44602)

“…Recent advances in natural language processing, text mining and machine learning have produced new algorithms that can accurately mimic human endeavour in systematic review activity, faster and more cheaply. …”

Communications in electronic textile systems by Nakad, Z.

“…Abstract- Electronic textiles (e-textiles) are emerging as a novel method for constructing electronic systems in wearable and large area applications. …”
Get full text
Get full text
Get full text

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

Get full text

Optimum Track to Track Fusion Using CMA-ES and LSTM Techniques by Fares, Samar

“…The first method uses an offline technique based on a global optimizer called the CMA-ES algorithm and the second one uses LSTM in its different forms to learn the online adjustment of the fusion weights between the two tracks. …”
Get full text

CEAP by Abdel Wahab, Omar

“…Simulation results show that our model is able to increase the accuracy of detections, enhance the attack detection rate, decrease the false positive rate, and improve the packet delivery ratio in the presence of high mobility compared to the classical SVM-based, Dempster–Shafer-based, and averaging-based detection techniques.…”
Get full text
Get full text
Get full text
Get full text

Smart non-intrusive appliance identification using a novel local power histogramming descriptor with an improved k-nearest neighbors classifier by Yassine Himeur (14158821)

“…Furthermore, an improved k-nearest neighbors (IKNN) algorithm is presented to reduce the learning computation time and improve the classification performance. …”